Junior Machine Learning Engineer
Junior Machine Learning Engineer

Junior Machine Learning Engineer

Redhill Full-Time 30000 - 45000 £ / year (est.) No home office possible
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Redefined Ltd

At a Glance

  • Tasks: Join our Data team to modernise machine learning platforms and collaborate on innovative projects.
  • Company: AXA UK is a leading insurance provider, committed to empowering employees and driving innovation.
  • Benefits: Enjoy flexible working, competitive salary, bonuses, health cover, and 25 days annual leave.
  • Why this job: Be part of pioneering projects that leverage AI and data analytics to transform business operations.
  • Qualifications: Degree in Data Engineering, Computer Science, or related field; experience with ML models and Azure Databricks.
  • Other info: We value diversity and offer support for applicants with disabilities during the hiring process.

The predicted salary is between 30000 - 45000 £ per year.

Description

We\’re seeking a Junior Machine Learning Engineer to join our transversal Data team, where you\’ll support the transformation and modernisation of our machine learning platform. You\’ll collaborate across the organisation to define and implement MLOps best practices, while 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.

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 40% of your week away from home, moving to the majority of your working week from September 2025. Away from home means either attendance at one of our office locations, visiting clients or attending industry events. We\’re also happy to consider flexible working arrangements, which you can discuss with Talent Acquisition.

What you\’ll be doing:

• Transform offline models into a robust production system with deployment, including data management, feature engineering, monitoring, performance management, automation, and orchestration.
• Build and enhance reusable tools and modelling pipelines, fostering knowledge sharing across teams.
• Actively participate in knowledge sharing through internal and external communities and working groups.
• Develop reliable, scalable machine learning pipelines on Azure Databricks.
• Design workflows with MLFlow for the effective development, deployment, and monitoring of ML models.
• Stay updated on advancements in MLOps, LLMOps, Azure, and Databricks, identifying opportunities to improve ML capabilities.
• Work on pioneering projects that leverage data analytics and AI to revolutionise our business operations.
• Contribute to the development of robust MLOps and LLMOps frameworks that will enhance our capabilities and drive value across AXA.
• Play a pivotal role in enhancing decision-making processes through automation and advanced analytics.
Due to the number of applications we expect to receive for this role, we reserve the right to close this advert earlier than the listed closing date to ensure we\’re able to effectively manage interest. Therefore, if you\’re interested in joining us at AXA, please don\’t hesitate to apply.

What you\’ll bring:

• Proven experience in building and operating machine learning models.
• Formal qualification or degree in Data Engineering, Computer Science, Data Science or a related field.
• Demonstratable understanding of regulatory standards and best practices in data handling and management.
• Confident in programming languages such as Python.
• Practical experience with Azure Databricks, managing data pipelines and performing data transformations.
• Experience with multiple technologies and frameworks such as PySpark, Azure Cloud Platform, and Azure ML.
• Skilled in software development practices, with hands-on experience in DevOps, MLOps, and microservices architecture.
• Ability to collaborate on data project developments and insights with both technical and non-technical stakeholders.
As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom.

What we offer:

At AXA UK, we\’re appreciative of the people who work for us and our rewards package is reviewed regularly to reflect that. You can expect to receive:

• Competitive annual salary of £35,000-£45,000 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 health 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
To apply, click on the \’apply for this job\’ 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 leanne.white@axa-insurance.co.uk.

#LI-DNI

Who we are:

AXA UK Support Functions power AXA\’s three customer-facing business units, providing the infrastructure, support and expertise to ensure our customers can always count on us. Whether you\’ve got heaps of experience and qualifications behind you, or you\’re just starting out, we\’ll give you the support and opportunities to help you grow and develop with confidence.

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Junior Machine Learning Engineer employer: Redefined Ltd

At AXA UK, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Junior Machine Learning Engineer, you'll benefit from a competitive salary, generous annual leave, and a robust pension scheme, all while working in a flexible environment that promotes work-life balance. With ample opportunities for professional growth and collaboration across diverse teams, you'll play a key role in driving innovation and excellence within our organisation.
Redefined Ltd

Contact Detail:

Redefined Ltd Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Junior Machine Learning Engineer

✨Tip Number 1

Familiarise yourself with MLOps best practices and tools like MLFlow and Azure Databricks. Being able to discuss how you've applied these in past projects will show your readiness for the role.

✨Tip Number 2

Engage with online communities or forums related to machine learning and MLOps. This not only helps you stay updated on industry trends but also allows you to network with professionals who might provide insights or referrals.

✨Tip Number 3

Prepare to discuss specific examples of how you've collaborated with both technical and non-technical stakeholders. Highlighting your communication skills can set you apart, especially in a cross-functional team environment.

✨Tip Number 4

Research AXA's recent projects or initiatives in data analytics and AI. Being knowledgeable about their work will help you demonstrate your genuine interest in the company and how you can contribute to their goals.

We think you need these skills to ace Junior Machine Learning Engineer

Machine Learning Model Development
Data Management
Feature Engineering
Monitoring and Performance Management
Automation and Orchestration
Azure Databricks
MLFlow
Python Programming
PySpark
Azure Cloud Platform
DevOps Practices
MLOps Frameworks
Collaboration with Technical and Non-Technical Stakeholders
Knowledge of Regulatory Standards in Data Handling

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, data engineering, and programming languages like Python. Emphasise any projects or roles where you've built or operated machine learning models.

Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific skills that align with the job description, such as your experience with Azure Databricks and MLOps best practices.

Showcase Relevant Projects: If you have worked on any projects related to machine learning or data pipelines, include them in your application. Describe your role, the technologies used, and the impact of the project.

Highlight Soft Skills: Since collaboration is key in this role, make sure to mention your ability to work with both technical and non-technical stakeholders. Provide examples of how you've successfully communicated complex ideas in the past.

How to prepare for a job interview at Redefined Ltd

✨Showcase Your Technical Skills

Be prepared to discuss your experience with machine learning models and the programming languages mentioned in the job description, particularly Python. Bring examples of projects you've worked on, especially those involving Azure Databricks or MLOps practices.

✨Understand MLOps Best Practices

Familiarise yourself with MLOps concepts and be ready to explain how you would implement these practices in a production environment. Highlight any relevant experience you have in building and deploying machine learning pipelines.

✨Demonstrate Collaboration Skills

Since the role involves working closely with various stakeholders, prepare to discuss how you've successfully collaborated on data projects in the past. Share specific examples that showcase your ability to communicate effectively with both technical and non-technical team members.

✨Stay Updated on Industry Trends

Research recent advancements in machine learning, Azure, and Databricks. Being able to discuss current trends and how they could apply to AXA's operations will demonstrate your enthusiasm for the field and your commitment to continuous learning.

Junior Machine Learning Engineer
Redefined Ltd
Location: Redhill
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