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London, United Kingdom

We’re looking for an accomplished technical engineer who knows that the true mark of intelligence and experience is kindness, and the responsibility to use it to level up everyone around you.

You’ll be joining a small team of ML Ops Engineers whose mission is to design, build & evolve a world-class ML Ops platform that enables Data Scientists and provides value to the Business teams of EFG. This is a unique opportunity to shape the architecture and the tech execution patterns of a green field ecosystem.

EXPECTATIONS

Serve as a leader in tech

Ask all the whys, relentlessly until you know your customer needs inside-out and know you’re designing the right solution to the problems and not the other way around.
Partner with our stakeholders and serve as an internal consultant to foster the adoption of our data platform.
You contribute to the technical strategy of the team, and its execution through prioritization, and delivery management.
Set high standards across documentation, testing, resiliency, monitoring, and code quality. Enforce these standards by holding your team accountable.
You drive towards efficiencies and look for ways to simplify code, infrastructure and data models across the platform.
Inspire, teach and guide your fellow team members; lead design sessions, be there for a code review, take ownership of operational processes.

Excel as Senior Engineer

Write well-rounded, reusable and documented code that captures the essential nature of the solution.
Decompose ambiguous and open-ended problems into solutions composed of multiple tooling.
Construct complex architectures tying multiple services and SaaS tooling together, leveraging a strong understanding of a cloud-based stack (AWS, GCP).
Drive towards efficiencies, lowering our tech spend and tackling tech debt on a quarterly basis

Personify our DNA

Exemplify the values we live by. Nurture a blameless culture. Know and care for your team members; inspire, and guide them to be the best that they can be.
Be the heart-first, people-first tech lead everyone wants to be around because you have invested in building relationships.

Requirements

Architecture

You’ve participated in shaping the architecture of a mature ML Ops solution and providing quantifiable business value.
You’ve run PoCs, planned large migrations of data and code, and participated in planning a roadmap multiple times before.

Engineering Hands-On

You have hands-on experience supporting the infrastructure required for an efficient ML workflow, from initial conception to development (DVC, Mlflow, etc.) to deployment (KServe, BentoML, TFX, etc.)
You have hands-on experience in building resilient batch (Airflow, Fivetran) and streaming (Kafka, Kinesis, Dataflow) data pipelines at scale (> 1 TB/day)
You can advocate passionately for your tried-and-true best practices of CI/CD (Github Actions, Jenkins)
You can build and maintain your own infrastructure through IaC (Terraform)
You preach operational procedures from data and infrastructure observability (Prometheus), alerting and incident management (PagerDuty, incident.io)
You are fluent in one or more high-level programming languages (Python, Scala)
Some experience in data modeling

Tech Leadership

You’ve served as a leader in technology in the past; you’ve made mistakes and learned from them.
You have interacted with a large community of stakeholders before; you understand the business use cases and can tailor your communication to ICs and Senior Management.

TRAITS

You like to have a good time while getting things done. When we say a “team player” we mean it - you have a crisp high-five and funny stories to tell. You have your team’s back, and the team has yours.
You love learning new things: You know that there’s always more to learn. You’re up-to-date on new trends in data – you know who’s using what to solve various problems and are excited for the next release of your favorite tool.

Past experience in the Esports/Gaming/Betting/Events industry would be a great asset.
You make the time to cheer and enjoy the ride.

Estimated Salary range:

Our salary intelligence, powered by our AI algorithms, has calculated an estimated range for this position between $70,000 - $110,000 . Please note that the actual salary for this position may vary, as it is dependent on various factors including but not limited to experience, location, and market dynamics.

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