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Stott and May

Stott and May

www.stottandmay.com

26 Jobs

125 Employees

About the Company

In late 2009, Stott and May was founded on the belief that hiring managers should never have to make the choice between time to hire and quality of candidate. We noticed a gap in the market for a search offering that can combine the speed of contingent recruitment with a high value, high touch, insightful service more commonly found in the executive search space. A talent solution that's helpful, engaging, collaborative and stacked full of value-add. Built with the flexibility to provide our partners with a choice of best practice features that can be packaged to meet their unique hiring challenges.

We've been building our team alongside the technical teams of some of the worlds innovative businesses. Our 130 employees across London, Reading, Los Angeles and New York are cultivating specialist talent communities every day to deliver the connections to drive growth. It's time to build better, more personalised, recruitment campaigns that deliver talent on time.

Listed Jobs

Company background Company brand
Company Name
Stott and May
Job Title
ServiceNow Technical Architect
Job Description
**Job Title:** ServiceNow Technical Architect **Role Summary** Design, implement, and optimize ServiceNow Customer Service Management (CSM) or IT Service Management (ITSM) solutions, ensuring alignment with enterprise business needs through scalable, integrated architecture. **Expectations:** Lead technical strategy for ServiceNow CSM/ITSM implementations; deliver end-to-end solutions while mentoring teams and upholding governance standards. **Key Responsibilities:** - Translate business requirements into ServiceNow CSM technical solutions. - Develop architectural blueprints and functional designs for CSM implementations. - Design and implement integrations (REST/SOAP/APIs, MID Server) with external systems (CRM, ERP, ITSM). - Oversee full lifecycle implementations, including upgrades, migrations, and performance tuning. - Maintain/enhance existing ServiceNow CSM applications and modules. - Enforce ServiceNow technical governance and best practices. - Mentor development teams and resolve complex CSM/ITSM technical issues. - Collaborate with stakeholders to align solutions with business objectives. **Required Skills:** - Proven expertise in ServiceNow CSM/ITSM deployments (case management, workflows, portals). - Advanced integration experience (REST, SOAP, APIs, MID Server, Integration Hub). - Leadership in 3+ ServiceNow full lifecycle implementation projects. - Knowledge of Orchestration, Flow Designer, and third-party integrations (Salesforce, SAP, Azure, AWS). - Instance consolidation, migration, and performance optimization skills. - Strong stakeholder communication and client-facing negotiation abilities. **Required Education & Certifications:** - Bachelor’s degree in Computer Science or related field. - Proven experience as a ServiceNow Technical Architect (CSM specialization). - ServiceNow Technical Architect certification preferred.
London, United kingdom
On site
05-01-2026
Company background Company brand
Company Name
Stott and May
Job Title
Senior Java Developer
Job Description
Job title: Senior Java Developer Role Summary: Lead full-stack application development for data center technologies, focusing on sustainable digital transformation through innovative Java-based solutions. Expactations: Collaborate cross-functionally to design and enhance systems; mentor junior developers; drive process improvements through digital solutions; engage in the entire software development lifecycle. Key Responsibilities: Translate stakeholder requirements into technical user stories; develop and deploy end-to-end applications using Java and modern frameworks; optimize systems by analyzing processes; maintain and enhance existing software; foster team collaboration and knowledge sharing. Required Skills: 5+ years in professional software development with Java; proficiency in React, TypeScript, HTML, CSS; experience with Git, CI/CD tools; knowledge of microservices, API development, event-driven architectures; strong communication with technical and non-technical stakeholders. Required Education & Certifications: Bachelor’s degree in Computer Science, Information Technology, or related field (preferred but not mandatory).
Virginia, United states
On site
Senior
05-01-2026
Company background Company brand
Company Name
Stott and May
Job Title
Back End Developer
Job Description
**Job Title:** Back End Developer **Role Summary:** Develops and maintains core back-end services using enterprise Java, secure messaging, and interoperability standards for justice systems. Focus on secure APIs, database integration, and compliance with European legal frameworks. **Expectations:** - Expertise in enterprise Java development and API design. - Proven experience with security protocols and database systems. - Understanding of European interoperability standards for justice systems. **Key Responsibilities:** - Implement and maintain Spring-based services and microservices architecture. - Design, develop, and consume SOAP/REST APIs. - Manage relational and non-relational databases (MySQL, MariaDB, PostgreSQL, etc.). - Integrate security features (PKI, encryption, digital signatures) and trust services. - Ensure compliance with interoperability standards (ebMS, AS4, ETSI-REM). **Required Skills:** - **Backend & Frameworks:** Java (Corretto 8/11/17/21), Spring Boot, Hibernate/JPA, Apache CXF, Tomcat/J2EE. - **Security:** PKI, WS-Security, DSS Tools, Digital Signature Service (EU), key stores. - **Messaging & Standards:** ebMS, AS4, ASiC-S, ETSI-REM. - **Data & Storage:** MySQL, MariaDB, MS SQL, Oracle, PostgreSQL, MongoDB, S3. - **DevOps & Tooling:** Maven/Gradle, Liquibase, Jenkins, Docker, JUnit, Mockito, Logback, Javadoc/AsciiDoc. **Required Education & Certifications:** Not specified.
Strasbourg, France
On site
06-01-2026
Company background Company brand
Company Name
Stott and May
Job Title
Machine Learning Engineer
Job Description
**Job title** Machine Learning Engineer (MLOps) **Role summary** Design, implement, and maintain end‑to‑end MLOps pipelines that enable rapid model training, testing, deployment, and monitoring. Collaborate with data scientists and stakeholders to deliver scalable, secure, and compliant machine‑learning services that meet performance and cost targets. **Expectations** - Deliver fully automated CI/CD pipelines for ML models. - Ensure production readiness of models through rigorous testing, monitoring, and governance. - Provide timely incident response and troubleshooting for deployed services. - Maintain clear documentation and promote reproducibility across experiments. **Key responsibilities** - Build and maintain scalable ML model deployment pipelines (CI/CD). - Develop monitoring infrastructure for model performance, data drift, and key metrics. - Create tools for model versioning, reproducibility, and experiment tracking. - Optimize model serving for latency, scalability, and cost efficiency. - Automate the end‑to‑end workflow: data ingestion → training → testing → deployment → monitoring. - Collaborate with data scientists to onboard and validate new models. - Implement security, compliance, and governance controls for ML systems. - Troubleshoot and respond to incidents in production environments. **Required skills** - Strong Python programming with ML libraries (e.g., PyTorch, sklearn). - Experience with data processing frameworks (Spark, Snowpark). - Containerization (Docker) and orchestration (Airflow, Astronomer). - Cloud platform expertise (AWS, Azure) and ML services (SageMaker, Vertex AI). - CI/CD tooling (GitHub Actions, Jenkins). - Monitoring/observability tools (NewRelic, Grafana). - Version control, branching, and release management. **Desirable skills** - Production ML deployment experience. - Infrastructure‑as‑code (Terraform, CloudFormation). - Model interpretability and responsible AI knowledge. - Feature stores and model registry use. **Required education & certifications** - Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field. - Certifications in cloud ML services (e.g., AWS Certified Machine Learning – Specialty) or MLOps tools are an advantage.
London, United kingdom
Hybrid
05-01-2026