DevOps/MLOps Engineer, London Stock Exchange
Stock exchange in the City of London
Be an early applicant
Stock exchange in the City of London
501-1000 employees
Be an early applicant
501-1000 employees
Company mission
To make things happen, out there in the real world, where it matters.
Role
Who you are
- Proven experience as a DevOps Engineer or in a similar software engineering role
- Proficiency in coding with Python and Java
- Experience deploying applications on cloud platforms (AWS)
- Proven understanding of CI/CD pipelines and Infrastructure-as-Code (IaC) tools (Terraform, Ansible)
- Familiarity with relational and non-relational databases, data warehousing, and data streaming frameworks (Snowflake, DynamoDB, SQL)
- Knowledge of security concepts including firewalls, encryption, VPNs, and secure data transfer
- Experience with logging tools such as AWS CloudWatch and AWS CloudTrail
- Strong problem-solving approach and excellent troubleshooting skills
- Good communication skills for effective collaboration with management, partners, and clients
- Experience working in Linux-based infrastructures and with various open-source technologies
- Awareness of critical concepts in DevOps and Agile principles
- Experience in configuration management tools (Ansible, Bash Scripting, etc.) is a plus
- Knowledge of the machine learning life cycle (Planning, Data preparation, Model engineering, Model evaluation, Model deployment, and Monitoring and maintenance)
What the job involves
- As a DevOps/MLOps Engineer, you will play a crucial role in the deployment and management of machine learning models and infrastructure
- You will collaborate closely with data scientists, Business Architects, and the DevOps team to ensure seamless integration and efficient operations
- Your expertise in cloud platforms, CI/CD pipelines, and machine learning frameworks will be essential in driving our projects forward
- Check deployment pipelines for machine learning models and ensure smooth operation
- Review code changes and pull requests from the data science team
- Trigger CI/CD pipelines after code approvals and monitor their execution
- Ensure all tests pass and model artifacts are generated and stored correctly
- Deploy updated models to production following successful pipeline completion
- Collaborate with data scientists and DevOps teams for integration and deployment
- Containerize models using Docker and deploy them on cloud platforms (AWS)
- Set up monitoring tools (e.g., DataDog, AWS CloudWatch) to track metrics such as response time, error rates, and resource utilization
- Establish alerts and notifications to detect anomalies or deviations from expected behavior(knowlage on Moogsoft/BigPanda/ServiceNow/ServiceCloud is added advantage)
- Analyze monitoring data, logs, and system metrics to troubleshoot issues
- Collaborate with the data science team to develop updated pipelines and address any faults
- Document changes, optimizations, and troubleshooting processes
Salary benchmarks
Our take
The London Stock Exchange is one of the world’s oldest stock exchanges, with a history dating back over 300 years. It operates as a part of LSEG (London Stock Exchange Group), one of the world’s leading providers of financial markets infrastructure, as a marketplace to enable stock brokers and traders to buy and sell stocks, bonds, and other securities.
The London Stock Exchange has lived through a stream of innovations; from telegraph and telephone, to the Market Price Display System, automatic trade matching, and the digitisation of issuer services. In 2019 it acquired Refinitiv, a financial information company, and in doing so became a global financial news and data business.
Most recently, the London Stock Exchange has made moves to support the evolution of private markets, and further build its presence in this space. It partnered with Floww, a platform that connects investors with private companies, with aims to launch a private primary capital raising facility, as well as explore new technologies and secondary market options for the platform.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (2 rounds)
Dec 2019
$24.9m
LATE VC
Feb 2018
$24.9m
LATE VC
Total funding: $49.8m
Company benefits
- Hybrid working options
- Healthcare
- Retirement planning
- Paid volunteering days
- Wellbeing initiatives
Company values
- Our culture of connecting, creating opportunity and delivering excellence shapes how we think, how we do things and how we help our people fulfil their potential
Company HQ
City of London, London, UK
Articles
Leadership
David Schwimmer
(CEO, not founder)Was Managing Director at Goldman Sachs for 20 years.
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