At a Glance
- Tasks: Transform and modernise our machine learning platform while collaborating with diverse teams.
- Company: Join AXA, a global leader in insurance and financial services.
- Benefits: Flexible work arrangements, competitive salary, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on collaboration and knowledge sharing.
- Why this job: Make a real impact by driving innovation in machine learning at a top-tier company.
- Qualifications: Degree in computer science or related field; experience in machine learning and relevant technologies.
The predicted salary is between 50000 - 70000 £ per year.
About AXA: AXA is a global leader in insurance and financial services, dedicated to helping customers protect what matters most to them. As the sixth-largest insurance company in the world, we provide a wide range of services, including health, car, home, and business insurance. We support millions of customers worldwide, helping them navigate life's uncertainties with confidence. AXA UK Support Functions look after our three customer-facing business units, providing the infrastructure and expertise to make sure we can be there for our customers.
Job 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.
Key responsibilities:
- 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.
At AXA we work smart, empowering our people to balance their time between home and the office in a way that works best for them, their team and our customers. You'll work at least two days a week (40%) away from home, moving to three days a week (60%) in the future. Away from home means attending the office, visiting clients or attending industry events.
Your skills & experience:
- 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.
How to apply:
To apply, click on the ‘apply now’ button, you’ll then need to log in or create a profile to submit your CV. We’re proud to be an Equal Opportunities Employer and don’t discriminate against employees or potential employees based on protected characteristics. If you have a long‑term condition or disability and require adjustments during the application or interview process, we’re proud to offer access to the AXA Accessibility Concierge. For our support, please send an email to lauren.cooper@axa-uk.co.uk. We encourage you to apply for this opportunity as soon as possible, as we may close this advert earlier than the listed closing date.
Machine Learning Engineer in Bristol employer: AXA Group
AXA is an exceptional employer that prioritises employee well-being and professional growth, offering a flexible work environment that allows for a healthy work-life balance. As a Machine Learning Engineer within our Transversal Data team, you will have the opportunity to collaborate with diverse teams, engage in knowledge sharing, and stay at the forefront of technological advancements in machine learning. With a commitment to innovation and excellence, AXA fosters a supportive culture where your contributions are valued and your career can thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already at AXA. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects or contributions to open-source, make sure to highlight them. It’s a great way to demonstrate your expertise in machine learning and MLOps.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. Be ready to discuss how you’ve tackled challenges in past projects and how you can bring value to AXA's team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the AXA family.
We think you need these skills to ace Machine Learning Engineer in Bristol
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with MLOps, Azure, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how you can contribute to our Transversal Data team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects:If you've worked on any machine learning projects, make sure to mention them! Whether it's a personal project or something from your previous job, we want to see your hands-on experience and how you’ve applied your skills in real-world scenarios.
Apply Through Our Website:Don't forget to apply through our website! It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to create a profile that we can refer back to during the hiring process.
How to prepare for a job interview at AXA Group
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Azure Databricks, Python, and MLFlow. Brush up on your knowledge of MLOps and Agentic Ops practices, as you'll likely be asked to discuss how you've applied these in past projects.
✨Showcase Your Collaboration Skills
Since the role involves working closely with Data Scientists and Engineers, prepare examples that highlight your teamwork and communication skills. Think of specific instances where you successfully collaborated on a project or mentored a colleague.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during your interview. Practice explaining complex concepts in simple terms, as you may need to articulate these to non-technical stakeholders. Consider mock interviews to sharpen your responses.
✨Stay Updated on Industry Trends
Demonstrate your passion for machine learning by discussing recent advancements or trends in the field. This shows that you’re proactive and committed to continuous learning, which is crucial for a role that involves driving innovation at AXA.
