How will you contribute?

• Help to develop and bring new ML and NLP capabilities and innovations to market, focussing on Machine Learning operations and the cost of running machine learning based products.
• Manage and prioritise backlogs, defining sprint priorities and writing user stories/acceptance criteria for our engineering teams.
• Write Epic specifications in partnership with our engineering and design teams.
• Work closely with other Product Managers to convert product strategy to detailed requirements and prototypes that can be translated into our development processes.
• Define process flows in conjunction with customers and work with our design teams on the UX of our products.
• Write feature specifications and product discovery documents and help our Sales teams respond to RFPs.
• Attend and actively participate in team ceremonies (stand-ups, retros, and planning meetings).
• Coordinate efforts with globally dispersed teams.
• This role is a hybrid role based in either London or Belfast

What will you bring?

• Proven experience as a Product Manager/Product Owner of a microservices, SaaS or machine Learning/AI based product.
• Knowledge of MLOps frameworks like: MLFlow, Comet, Weights & Biases, Neptunem Kubeflow Pipelines, Metaflow, Kubeflow serving, Seldon Core, Amazon Sagemaker Neo, Prefect, Dagster, Airflow, Pachyderm, Feast, and DVC.
• Machine Learning Governance, and cost modelling/management.
• Experience with software engineering and product management tools such as Jira, Confluence, Miro, ProductBoard, ProductPlan, Notion.
• A growth mindset and a commitment to quality.
• An ability to influence and work across different teams.
 
Preferred Skills
• Knowledge of communications surveillance/compliance in a Financial Services context.  This could have been gained within a FinTech, Consultancy, Compliance Technology vendor or a Financial Institution.
• Data Analysis, Machine Learning and/or Natural Language Processing knowledge
• Exposure to containers and streaming/even driven architectures (such as Kubernetes and Kafka)

What do we offer?

• We value our people and offer a competitive salary along with company bonus
• Strong maternity and paternity scheme
• A workplace pension scheme
• Take what you need holiday package
• Private medical insurance
• Dental pplan
• Group life assurance
• Group income protection
• Employee assistance programme
• A monthly wellness allowance
• Adoption assistance
• Stock options