MLOPS and Data Engineer

MLOPS and Data Engineer

Salary: Circa £45,000 - £65,000 National / £55,000 - £70,000 London

Fixed Term Contract: 12 months

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.

This role is Bristol based. 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) 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. 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.

SalaryCirca: £45,000 - £65,000 National / £55,000 - £70,000 London (location, skills, experience, and qualifications)Bonusopportunity of 10% of annual salary (actual amount depends on your performance and Aviva’s) Generouspensionscheme - Aviva will contribute up to 14%, depending on what you put in. 29 daysholidayplus 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 ourMatching Share Planand share in the success of Aviva with ourSave As You Earnscheme. Brilliantlysupportive policiesincluding parental and carer’s leave.Flexible benefitsto suit you, includingsustainability optionssuch as cycle to work. Make a difference, be part of ourAviva Communitiesand use your 3paid volunteering days to help others.We take yourwellbeingseriously 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 are inclusive and welcome everyone – we want applications from people with diverse backgrounds and experiences.

Excited but not sure you tick every box? Research tells us that women, particularly, feel this way. So, regardless of gender, why not apply. And if you’re in a job share just apply as a pair.

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.