MLOPS and Data Engineer

MLOPS and Data Engineer Salary: £30,000 - £40,000 This is a great role for someone who is looking to join the UK’s leading savings, retirement & insurance business. Our company purpose is to be with you today, for a better tomorrow. Over 15.5 million people in the UK choose us to protect their belongings and help plan their future. We are currently undergoing a huge strategic transformation, leveraging data and digital to transform the way our customers engage with, and get value from, our products and services. This is your chance to play a key role in it. A bit about the job: We believe that everything is better when we put the customer first; data & technology help us do that at scale. We leverage rich first-party data to develop insights, models and systems that deliver better customer and commercial outcomes. We combine technical expertise with a partnering approach to drive strategic change and impact. We are based in Hoxton Square, at the heart of London’s trendy tech hub, in a start-up style environment with talent from a broad range of industries. We embrace hybrid working; we see huge value in meeting in-person to collaborate and have fun, but we also appreciate the productivity, flexibility and quality-of-life that working from home affords. Above all, we treat our people like adults. We have won “Best Place to work in Data” at DataIQ Awards in 2019 AND 2020…clearly, we are doing something right! As part of our transformation, we are step-changing our approach to AI/ML data products and ML Ops. Our Data Engineers will focus on robust delivery of reliable, high-quality data, which our Data Scientists will use to power their machine learning products. We are looking for high-performing, passionate people to help create and deliver this new approach. Diversity is essential to great data teams; we want to hear from candidates from a range of backgrounds and experiences across data engineering, or those looking to refocus. Skills and experience we’re looking for: Proven track record productionising data pipelines at scale Hands-on experience or understanding of: Python, Spark (e.g. PySpark, Spark tuning, Spark UI); Data Engineering technologies and principles (e.g. Data Lakes, Batch/Streaming); Cloud technologies and principles (e.g. Kubernetes, EMR, S3) Good understanding of ML principles (e.g. feature engineering, training/testing, hyperparameters, deep learning, model management) Agile mindset and experience with JIRA and Confluence Experience with Marketing technology (e.g. Adobe) 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. Starting salary between £30,000 and £40,000 (depending on skills, experience, and qualifications) 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. 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. Flexible benefits to suit you, including sustainability options such as cycle to work. Aviva is for everyone: We’re inclusive and welcome everyone – we want applications from people with diverse backgrounds and experiences. 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 Matthew Drew a call on 0121 234 7664 or send an email to [email protected].