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- Tasks: Design and develop AI solutions that drive business growth and digital transformation.
- Company: Join a leading savings and investments firm with a rich history of innovation.
- Benefits: Enjoy 38 days annual leave, competitive pension, and comprehensive health cover.
- Why this job: Work with cutting-edge AI tech and make a real impact in a collaborative environment.
- Qualifications: Experience in AI, Data Science, and proficiency in Python required.
- Other info: Flexible working arrangements and excellent career development opportunities await you.
The predicted salary is between 36000 - 60000 £ per year.
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.
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- 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.
- Collaborate with cross-functional teams (Marketing, IT, Sales, Distribution, Customer Service) to ensure solutions meet business needs and strategic objectives.
- Technical Excellence: Apply best practices in AI development, including robust testing, version control, and responsible AI implementation.
- 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: Build solutions that drive efficiency, unlock insights, and create measurable business impact.
- 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: Champion the adoption of new AI solutions across the business, supporting training and transition activities to maximise user engagement and business impact.
- Facilitate change management and ensure successful implementation in partnership with the Business Analyst.
- Continuous Improvement: Contribute to a culture of experimentation, continuous improvement, and learning within the AI & Innovation team.
- Share knowledge and best practices across roles to foster team development.
- Production Support: Monitor AI solutions in production, analyse performance, and investigate root causes of issues to ensure ongoing reliability and effectiveness.
- Proven experience delivering AI and innovation projects in a business context.
- Strong technical background in Data Science, Machine Learning, and AI (including LLMs, agentic AI, and decision intelligence systems).
- Proficiency in Python and experience with platforms such as Databricks, OpenAI, Github and Copilot Studio.
- Experience with MLOps, cloud deployment (AWS/Azure), and model evaluation/selection.
- Excellent communication skills, able to explain technical concepts to non-technical stakeholders.
- Strong problem-solving, analytical, and project management skills.
- Experience in Life or Financial Services.
- Knowledge of Agile/Scrum methodologies and service design.
- Familiarity with AI ethics, regulatory requirements, and responsible AI practices.
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.
LocationLondon or Stirling (Hybrid working)
What we offerAt 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.
- 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.
- 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.
- Our market leading Inspiring Families policy includes comprehensive support and paid parental leave covering maternity, adoption, surrogacy, and paternity leave.
- Health & Protection cover including Private Healthcare, Critical Illness cover and Life Assurance for you, with family options.
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.
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 folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, whether they're personal or professional. This gives you a chance to demonstrate your technical prowess and creativity, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI engineering. Think about how you can explain complex concepts in simple terms, as you'll likely need to communicate with non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at M&G.
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 with AI solutions, 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 expertise as much as you do! Use clear language to explain your past projects and how they relate to the role. This will help us see how you can bridge the gap between tech and business.
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, you’ll find all the details about the role and our company culture there!
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 the job description. Highlight your experience with tools like Python, Databricks, and MLOps.
✨Understand the Business Context
It's crucial to connect your technical skills to business outcomes. Prepare examples of how your AI solutions have driven efficiency or created measurable business impact in previous roles. This shows you can translate complex tech into real-world value.
✨Communicate Clearly
You’ll need to explain technical concepts to non-technical stakeholders, so practice simplifying your language. Use analogies or relatable examples to make your points clear. Good communication can set you apart from other candidates.
✨Show Your Collaborative Spirit
This role involves working with cross-functional teams, so be prepared to discuss how you've successfully collaborated in the past. Share stories that demonstrate your ability to work well with others, especially in a multi-disciplinary environment.
