Senior Machine Learning Engineer

Simply Business; London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading InsurTech company in London is seeking a Senior ML Engineer to develop and maintain their data and machine learning platform. The ideal candidate will be a polyglot programmer with expertise in Python, comfortable with mentoring, and passionate about innovative technologies. Join a friendly team that values your contributions and promises significant professional growth opportunities.

Benefits

Budgets for conferences

Courses and workshops support

Inclusive work environment

Qualifications

• Experience developing data and ML platform infrastructure.
• Hands-on with real-time model serving infrastructure.
• Comfortable mentoring and guiding Junior and Mid-Level Engineers.

Responsibilities

• Develop and maintain machine learning infrastructure.
• Assist in model development and debugging.
• Collaborate within an agile, international team.

Skills

Python

Kotlin

Rust

Communications

Mentorship

Collaboration

Tools

Kafka

Docker

Apache Flink

Airflow

Databricks

PyTorch

Scikit-learn

MLFlow

Pandas

Job description

Here’s what you’ll be doing:

Are you ready to shape the future of InsurTech with cutting-edge machine learning and AI? At Simply Business, we're not just using data; we're continuously evolving our platform with technologies like AWS, Snowflake, and Kafka to drive real value and inform company strategy. As a leading player in the market, our mission is to remain at the forefront of data engineering, ML, and AI thinking, and we need a Senior ML Engineer who shares that ambition.

We're looking for someone who is:

• A polyglot programmer, with expertise in Python and a genuine enthusiasm for picking up new languages like Kotlin and Rust.
• An excellent communicator, capable of clearly conveying complex technical concepts to diverse audiences.
• Proactive in suggesting innovative tools, architectural improvements, processes, and emerging technologies.
• Collaborative and a pleasure to work with, possessing strong interpersonal skills and thriving in an open, friendly, and distributed team.
• Comfortable mentoring and guiding Junior and Mid-Level Engineers, sharing your expertise and fostering growth.
• A reliable "go-to" person for tackling and resolving complex technical challenges.

As our Senior ML Engineer, you'll:

• be hands-on in developing and continuously evolving our class-leading data and ML platform infrastructure, balancing maintenance with exciting greenfield projects.
• develop and maintain our real-time model serving infrastructure, utilising technologies such as Kafka, Python, Docker, Apache Flink, Airflow, and Databricks.
• Actively assist in model development and debugging using tools like PyTorch, Scikit-learn, MLFlow, and Pandas, working with models from gradient boosting classifiers to custom GPT-based solutions.
• gain a deep understanding of Simply Business's wider data ecosystem to build efficient and scalable machine learning systems.
• work collaboratively within a friendly international team, where your ideas are valued, and you have ample opportunities to grow, explore, and contribute.
• be part of an agile environment, contributing ideas and helping to prioritise technical work, with the flexibility to switch between office and remote working.

(We know it’s tough, but please try to avoid the confidence gap. You don’t have to match all the bullet points above to be considered for this role.)

We encourage people of all different backgrounds and identities to apply. We are committed to maintaining an inclusive, supportive place for you to be you and do your very best work.

If you're passionate about pushing the boundaries of machine learning, building robust, scalable systems, and working with cutting-edge technologies like custom GPT models and real-time inference, Simply Business is where you'll make a real impact.

We foster an environment where your technical interests are encouraged, and your professional development is fully supported with budgets for conferences, courses, and workshops. Come join a team that embraces new ideas and empowers you to drive the future of InsurTech! Apply Today