Senior Machine Learning Operations Specialist

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Senior Machine Learning Operations Specialist

Posting Date: 18 Apr 2025

Function: Brand and Marketing

Unit: Consumer

Location: One Braham (4140), London, United Kingdom

Salary: Competitive with great benefits

London, Birmingham or Bristol

3 days in the office/ 2 days wherever

About EE

We're EE. We are the biggest mobile and broadband operator in the UK and we have a relationship in every second household in the country. But we're for everyone, on any network - serving up new tech, new services, and heaps of inspiration for every aspect of your connected life.

We've been awarded the UK's best network for the last 10 years. It's central to our vision - to be the most personal customer-focused technology company in the UK.

In this job you'll be supporting the consumer commercial data science team to deliver solutions that meet the business' strategic direction.

As part of the machine learning operations team, you will lead on developing tools and frameworks to deploy and manage our models as resilient applications or pipelines. You will also build out our operations monitoring and manage the platform the data science team operates within.

What you'll be doing

• Maintaining templates developed to streamline model deployment
• Building out our data and concept drift monitoring
• Developing tools that abstract engineering problems away from the data science team
• Deploying infrastructure via CICD pipelines
• Reviewing the data science team's code to ensure quality prior to deployment
• Reimplementing prototypes from the data science team to be production grade
• Working to optimize our platform from a FinOps perspective

The skills and experience you will have under your belt

• Infrastructure as code frameworks such as terraform
• GitOps tools such as gitlab CI or Jenkins
• Comfortable managing cloud environments (GCP preferred)
• Experience with k8 desirable but not a requirement
• Experience developing REST or RPC endpoints
• Highly proficient python programmer
• Previous work experience as a software engineer or DevOps engineer highly desirable
• Knowledge of advanced statistics desirable but not a requirement
• Hands on experience using big data technologies such as Spark.

What's in it for you? What are the benefits?

Working here, you'll receive an attractive salary and a range of competitive benefits, but - more than that - you'll be joining an ambitious organisation with a culture of togetherness, collaboration and inclusivity, that takes a genuine and proactive interest in your progress and development.

• Competitive salary
• 25 days annual leave (plus bank holidays)
• 10% on target performance bonus
• Life Assurance
• Pension scheme if you pay in 5% BT will pay in an additional 10%
• Option to join the Healthcare Cash Plan or other benefits such as dental insurance, gym memberships etc.
• 50% off EE mobile pay monthly or SIM only plans
• Exclusive colleague discounts on our latest and greatest BT broadband packages
• BT TV, including TNT Sport and the NOW Entertainment membership, and 25% off NOW Sport, Cinema and Kids
• 50% discount for friends and family on EE SIM only plans
• World class training and development opportunities
• Volunteering days so you can give back to your local community

BT is an equal opportunities employer. We're working hard to create an inclusive working environment, where people from all backgrounds can succeed.

We value diversity and celebrate difference. 'We embed diversity and inclusion into everything that we do. It's fundamental to our purpose: we connect for good.'

Although these roles are listed as full-time, if you're a job share partnership, work reduced hours, or any other way of working flexibly, please still get in touch.

We will also offer reasonable adjustments for the selection process if required, so please do not hesitate to inform us.

Studies have shown that women and people who are disabled, LGBTQ+, neurodiverse or from ethnic minority backgrounds are less likely to apply for jobs unless they meet every single qualification and criteria. We're committed to building a diverse, inclusive, and authentic workplace where everyone can be their best.