Quantexa

About the Company

When it comes to making the right decisions for your organization, more is possible with the right data, in the right context.

Quantexa’s Decision Intelligence Platform gives customers the ability to understand their data by connecting siloed systems and visualizing complex relationships. The result is a single view of data that becomes their most trusted and reusable resource across the organization.

Quantexa helps customers establish a culture of confident decision making at strategic, operational, and tactical levels to mitigate risk and seize opportunities on their path to building efficient and resilient organizations.

Quantexa is a global business with offices in London, Spain, Amsterdam, Brussels, New York, Boston, Toronto, Singapore, UAE, Melbourne and Sydney.

Listed Jobs

Company Name

Quantexa

Job Title

Senior MLOps Engineer

Job Description

Job Title: Senior MLOps Engineer Role Summary: Design, deploy, monitor, and maintain end‑to‑end machine learning pipelines in production. Collaborate with data scientists to transition models from research to live services, ensuring reliability, scalability, and compliance. Lead model governance, versioning, and lifecycle management, and mentor teammates on MLOps best practices. Expectations: - Own full MLOps lifecycle: development, deployment, monitoring, and maintenance of ML models. - Deliver high‑availability, production‑grade solutions that scale with data and traffic. - Establish model governance, including version control, drift detection, and reporting. - Mentor junior engineers and data scientists, sharing best practices and tooling. Key Responsibilities: - Integrate ML models into production systems using Docker, Helm, and Kubernetes. - Automate CI/CD pipelines with Jenkins or equivalent, orchestrating workflow execution. - Implement observability for model performance, latency, and resource usage; react to alerts and anomalies. - Build and maintain model registry and versioning using MLflow, Kubeflow, or DVC. - Deploy and optimize models with ONNX/ONNX Runtime; manage model serving infrastructure. - Collaborate closely with data engineering teams on data pipelines (Spark, Python) that feed ML workloads. - Conduct regular model health checks, drift analysis, and impact assessments. - Develop and enforce MLOps standards, policies, and documentation. - Provide technical guidance and training to cross‑functional teams. Required Skills: - Strong programming in Python; experience with scikit‑learn, PyTorch, TensorFlow, or similar libraries. - Proficiency in Scala optional but advantageous. - Expertise in big‑data processing (Apache Spark). - Containerization & orchestration: Docker, Helm, Kubernetes. - CI/CD tooling: Jenkins, GitLab CI, GitHub Actions or equivalent. - MLOps platforms: MLflow, Kubeflow, DVC. - Model deployment: ONNX, ONNX Runtime. - Model governance: versioning, monitoring, drift detection. - Cloud familiarity (AWS, Azure, GCP) and infrastructure‑as‑code preferred. - Strong analytical and problem‑solving abilities; excellent communication. Required Education & Certifications: - Bachelor’s (or higher) degree in Computer Science, Data Engineering, Machine Learning, or related field. - Certifications in Kubernetes (CKA/CKAD), AWS/Azure/GCP ML, or MLflow preferred.

London, United kingdom

Hybrid

Senior

22-12-2025

Company Name

Quantexa

Job Title

Solutions Engineer - Banking - France - EMEA

Job Description

**Job title** Solutions Engineer – Banking (EMEA, France) **Role Summary** Act as the primary technical ambassador for Quantexa’s Decision Intelligence Platform to tier‑1 French banks. Deliver pre‑sales engagements, product demonstrations, and proof‑of‑concepts that translate complex data‑connected solutions into clear business value. Collaborate with sales, product, and specialist teams to tailor solutions to customer needs and drive early‑stage engagement success. **Expectations** - Lead at least five extensive proving engagements (PoCs, workshops, prototypes) per year. - Secure senior‑level buy‑in from banking stakeholders by translating technical depth into business outcomes. - Consistently exceed qualification and win‑rate targets set by the commercial team. - Contribute to thought‑leadership initiatives and industry events to strengthen the brand’s technical credibility. **Key Responsibilities** - Communicate the value and impact of the Quantexa Decision Intelligence Platform to prospects. - Identify and position the most appropriate Quantexa solutions for each prospect, focusing on banking use‑cases such as Financial Crime, Data Management, or Customer 360. - Guide prospects through a clear, outcome‑driven solution strategy that establishes long‑term value. - Collaborate with product experts, SMEs and commercial teams to deliver compelling pre‑sales engagements. - Design and execute tailored Proof of Concepts addressing key customer business problems. - Conduct product demos, presentations, and technical workshops for diverse audiences. - Represent the company at industry events and contribute to thought‑leadership content. - Continuously analyze and improve Solution Engineering processes, sharing best practices across the team. **Required Skills** - 3–5 years in a technically focused sales or pre‑sales role within the banking sector, preferably tier‑1 banks. - Demonstrated expertise in at least two solution areas, with deep knowledge in one (e.g., Financial Crime, Data Management, Customer 360). - Strong communication skills: articulate complex technical concepts to senior banking stakeholders in both French and English. - Track record of leading five+ proving engagements per year. - Proficiency in enterprise software environments and familiarity with data‑driven analytics (Entity Resolution, Graph Generation, Advanced Analytics, MDM). - Technical fluency in data storage, processing, and containerization technologies (Cloud, Spark, Databricks, Kubernetes, Open Search, Elastic Search). - Ability to simplify technical content for non‑technical audiences and propose actionable solutions. - Experience pitching solutions and influencing senior decision‑makers in banking. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering, Finance, or related field. - Relevant certifications (e.g., Certified Data Management Professional, Cloud technologies, or banking‑specific regulations) are an advantage but not mandatory.

Paris, France

Hybrid

01-01-2026

Company Name

Quantexa

Job Title

Associate DevOps Engineer

Job Description

**Job title** Associate DevOps Engineer **Role Summary** Join a DevOps team supporting the Quantexa Cloud Platform, focusing on improving platform availability, resilience, usability, and security while reducing operational toil. Collaborate with software engineers to integrate DevOps practices into software releases and develop cloud‑native product features for customers. **Expectations** - Design, build, and deliver high‑quality, well‑engineered solutions to complex problems. - Adopt a big‑picture approach, ensuring solutions integrate smoothly with the broader system. - Demonstrate commercial or non‑commercial experience with programming, scripting, and automation. - Apply strong information‑security principles in all activities. **Key Responsibilities** - Maintain and enhance cloud‑based technical infrastructure for the Quantexa Cloud Platform (GCP, AWS, Azure). - Improve platform availability, resilience, usability, and security; reduce toil across the estate. - Support software release engineering and GitOps workflows with teams. - Provision and manage services such as Elasticsearch, Spark, Hadoop, PostgreSQL. - Implement and maintain CI/CD pipelines using Jenkins, ArgoCD, and associated tooling. - Automate configuration and deployment with Ansible, Terraform, Packer, and scripting languages. - Monitor, log, and alert using Fluentd, Prometheus, Grafana, Alertmanager. - Collaborate on the development of cloud‑based product offerings for external customers. **Required Skills** - Proficiency in Docker, Kubernetes, and Istio. - Scripting in Bash, Python, Groovy, Golang (or comparable languages). - GitOps practices, ArgoCD. - Infrastructure as Code (Ansible, Terraform, Packer). - Experience with Elasticsearch, Spark, Hadoop, PostgreSQL. - Log/metric aggregation: Fluentd, Prometheus, Grafana, Alertmanager. - Public‑cloud experience (primary GCP, AWS, Azure). - Linux system administration and basic networking. - Knowledge of software build and release engineering. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience). - Professional certifications preferred: Certified Kubernetes Administrator (CKA), AWS Certified DevOps Engineer, GCP Professional Cloud DevOps Engineer, Terraform Associate.

London, United kingdom

Hybrid

06-01-2026

Company Name

Quantexa

Job Title

Senior People Business Partner - Product

Job Description

**Job Title** Senior People Business Partner – Product **Role Summary** Strategic HR partner responsible for shaping and executing the people agenda for Product and R&D functions. Acts as trusted advisor to senior leadership, drives talent management, engagement, and organisational development initiatives that align with business objectives and sustain high-performance technical teams. **Expections** - Deliver measurable business impact through people strategies. - Build and maintain trusted relationships with senior leaders and technical teams. - Lead change and transformation initiatives within Product and R&D. - Mentor and develop other People Business Partners. - Champion a commercially balanced, employee‑centric approach. **Key Responsibilities** 1. Own the people strategy for Product and R&D, providing strategic direction and acting as the primary HR contact. 2. Set high standards for HR excellence; mentor and develop junior People Business Partners. 3. Independently manage complex employee relations matters, coaching managers and other partners on best practices. 4. Partner with Product and R&D leaders to align people solutions with technical priorities, fostering innovation and agility. 5. Lead people initiatives: reviews, compensation, performance management, and engagement programs. 6. Collaborate with the global People team on high‑impact projects and deliver tailored solutions. 7. Apply data‑driven insights to support Talent, Learning & Development, People Operations, and Employee Experience teams. 8. Proactively analyse employee relations trends, recommend preventive actions, and coach managers. **Required Skills** - Strategic HR partnership in fast‑paced, technology‑centric environments. - Deep knowledge of Product, R&D, and engineering culture; experience supporting high‑skill technical teams. - Proven ability to lead transformation, change management, and organisational development workstreams. - Strong employee‑relations expertise, conflict resolution, and coaching skills. - Data‑analytic mindset to translate metrics into actionable people strategies. - Excellent communication, influence, and relationship‑building with senior leadership. - Collaborative approach across global HR functions. **Required Education & Certifications** - Bachelor’s degree in Human Resources, Business Administration, Psychology, or related field. - Professional HR certification (e.g., SHRM‑SP, HRCI SPHR, CIPD) preferred. ---

London, United kingdom

Hybrid

Senior

26-01-2026