Machine Learning Engineer

Machine Learning Engineer

Salary Circa £40,000 National / Circa £50,000 London

Locations: London, Norwich, and Perth

We are seeking a highly skilled and motivated Machine Learning Data Engineer to join our dynamic Data Insights team. The ideal candidate will have a strong background in data engineering, machine learning, and software development.

This role involves designing, building, and maintaining scalable data pipelines and infrastructure to support machine learning models and data-driven decision-making across the General Insurance Commercial Lines Business.

A bit about the job

• Data Pipeline Development: Design, develop, and maintain robust data pipelines to collect, process, and store large volumes of structured and unstructured data from various sources.
• Data Integration: Integrate data from multiple sources, ensuring data quality, consistency, and reliability.
• Machine Learning Model Deployment: Collaborate with data scientists to deploy machine learning models into production environments, ensuring scalability and performance.
• Data Pipeline Development: Design, develop, and maintain robust data pipelines to collect, process, and store large volumes of structured and unstructured data from various sources.
• Data Integration: Integrate data from multiple sources, ensuring data quality, consistency, and reliability.
• Machine Learning Model Deployment: Collaborate with data scientists to deploy machine learning models into production environments, ensuring scalability and performance.
• Problem-Solving: Strong analytical and problem-solving skills, with the ability to troubleshoot and resolve complex data issues.
• Database Management: Experience with SQL and NoSQL databases, data warehousing solutions, and ETL processes.
• Communication: Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment.
• Machine Learning: Understanding of machine learning concepts and experience working with machine learning frameworks and libraries.

Skills and experience we are looking for:

• Education:Bachelor's or master's degree in computer science, Data Engineering, or a related field.
• Experience:Proven experience in data engineering, with a focus on building and maintaining data pipelines and infrastructure.
• Technical Skills: Proficiency in programming languages as Python, PySpark and SQL-like languages .
• Familiarity with cloud platforms such as Snowflake, AWS, and Azure .
• Relevant similar industry experience required . Experience of insurance or the financial industry is an asset.

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 Circa £40,000 national/ Circa £50,000 London (depending on location, skills, experience, and qualifications).
• Bonus opportunity - 8% 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 Sahra Abdulla a call on 07775 042 835 or send an email to sahra.abdulla@aviva.com .

Location: London, GB

Posted Date: 11/26/2024