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Sanderson

Sanderson

www.sandersonplc.com

14 Jobs

433 Employees

About the Company

We are a global recruitment solutions company with four decades of experience. The idea of partnership is at the heart of everything we do at Sanderson.
Working with clients and candidates alike, we deliver permanent or contract hires, executive search assignments, fully outsourced recruitment solutions, including RPO and MSP and deploy high-performing project teams. We strive to deliver with personality and a passion for service excellence.
Our services are built on collaboration, understanding and flexibility. Our breadth of experience and the skillsets of our people enable us to deliver against any recruitment goal our clients have.

Listed Jobs

Company background Company brand
Company Name
Sanderson
Job Title
Software Architect Technical Lead
Job Description
**Job title** Software Architect Technical Lead **Role Summary** Lead the technical architecture for a government digital transformation programme. Shape the technical roadmap, design high‑level and detailed solutions, and ensure alignment with the client’s reference architecture. Operate fully remote, coordinating with blended agile teams of consultancy and client staff. **Expectations** - Fully remote with occasional client workshops. - SC Clearance eligibility required. - Proven track record in large‑scale digital programmes. - Ability to mentor and influence cross‑disciplinary teams. **Key Responsibilities** 1. Define and communicate the technical vision and strategy for the transformation project. 2. Lead architectural design of cloud‑native solutions, focusing on API Gateway, Lambda, and other AWS services. 3. Modernise legacy systems, orchestrating migration to cloud platforms and ensuring robust data validation. 4. Develop and enforce architectural governance, standards, and best practices. 5. Produce high‑level and low‑level design artefacts, including OpenAPI schemas and deployment pipelines. 6. Mentor junior architects and developers, facilitating knowledge transfer within client and consultancy teams. 7. Collaborate with product owners and business stakeholders to translate requirements into scalable technical solutions. **Required Skills** - Technical architecture experience in large‑scale digital programmes. - Deep knowledge of API Gateway design, enhancement, and management. - Expertise in AWS (API Gateway, Lambda, S3, VPC) and cloud migration strategies. - Strong background in Java, DB2, relational databases, and network concepts. - Familiarity with OpenAPI, Kubernetes, Spring Boot, JBoss/EJB, PostgreSQL, and Python. - Ability to lead and mentor technical teams. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Information Technology, or equivalent. - Relevant AWS certifications (e.g., AWS Certified Solutions Architect) preferred. - Eligibility for UK SC Clearance.
United kingdom
Remote
Senior
12-09-2025
Company background Company brand
Company Name
Sanderson
Job Title
Technical Architect
Job Description
**Job Title:** Lead Technical Architect **Role Summary:** Lead technical design and architecture for a new live service focused on data validation and legacy system modernization. Drive scalable, secure solutions in alignment with enterprise standards while enhancing API Gateway capabilities within agile teams. **Expectations:** - Proven experience as a Technical Architect - Expertise in API Gateway design, cloud platforms (AWS), and legacy system migration - Agile delivery experience and architectural governance knowledge **Key Responsibilities:** - Lead architecture and technical analysis for new data validation services. - Define solutions and collaborate with cross-functional teams. - Modernize legacy systems and enhance API Gateway capabilities. - Produce high- and low-level technical designs and artefacts. - Participate in agile ceremonies and mentor internal teams. **Required Skills:** - Technical architecture leadership - API Gateway (design, integration) - Cloud platforms (e.g., AWS) - Legacy system modernization - Java, DB2, relational databases, network protocols - Agile methodology (Scrum/Kanban) - Technical documentation **Required Education & Certifications:** None specified.
United kingdom
Remote
12-09-2025
Company background Company brand
Company Name
Sanderson
Job Title
Product Owner
Job Description
**Job Title:** Finance Product Owner **Role Summary:** Lead cloud-based finance system migration and digital transformation initiatives, ensuring alignment with ERP platforms, data governance, and agile practices. **Expectations:** - Proven experience as a Product Owner, Business Analyst, or similar role, managing suppliers/vendors. - Expertise in finance technology, ERP platforms (e.g., Dynamics 365 preferred), and SaaS lifecycle management. - Strong ability to translate business requirements into actionable roadmaps, prioritize system enhancements, and implement compliance (e.g., GDPR). **Key Responsibilities:** - Collaborate with cross-functional stakeholders to prioritize finance system upgrades and feature development. - Configure ERP/SaaS platforms to leverage cloud-native tools, ensuring security, compliance, and automation. - Manage application lifecycle changes, assessing impacts and applying change control processes for user satisfaction. - Maintain high data quality scores through collaboration with data owners and resolution of data issues. - Coordinate with vendors to align product roadmaps with stakeholder needs, ensuring release readiness (testing, training). - Provide second-line support for platform configuration and escalate complex issues to third-party teams. - Enforce product design standards, governance, and best practices across finance technology systems. **Required Skills:** - Finance technology platform management. - ERP/SaaS configuration and integration. - Data governance, automation, and GDPR compliance. - Agile methodology, stakeholder relationship management, and requirements translation. - Analytical problem-solving, vendor negotiation, and cross-functional collaboration. **Required Education & Certifications:** - Bachelor’s degree in Finance, Information Technology, or related field. - Certifications in Agile/Scrum or ERP platforms (e.g., Microsoft Dynamics 365) preferred.
Poole, United kingdom
Remote
17-09-2025
Company background Company brand
Company Name
Sanderson
Job Title
Machine Learning Engineer
Job Description
Job Title: Machine Learning Engineer Role Summary: Develop and deploy advanced machine learning solutions within a retail data science team, focusing on time‑series forecasting and end‑to‑end model pipelines on Google Cloud Platform. Expectations: Deliver production‑ready ML models, collaborate with data engineering and business stakeholders, and maintain high standards of code quality and documentation. Key Responsibilities: • Design, implement, and optimize time‑series forecasting models. • Build and maintain ML workflows on GCP (Vertex AI, BigQuery, Cloud Storage). • Perform feature engineering, data preprocessing, and exploratory data analysis. • Evaluate, compare, and tune ML algorithms (Random Forest, XGBoost, LSTM, BERT, etc.). • Deploy models as scalable APIs and monitor performance. • Document model life cycle, results, and insights for cross‑functional teams. • Stay updated on state‑of‑the‑art research in NLP, transfer learning, and deep learning. Required Skills: • Proficient in Python (Pandas, Scikit‑Learn, Matplotlib, Jupyter). • Advanced SQL for data extraction and manipulation. • Experience with GCP services, especially Vertex AI. • Strong background in time‑series forecasting techniques. • Solid knowledge of computer science fundamentals: data structures, algorithms, data modeling, software architecture. • Familiarity with machine learning algorithms (Logistic Regression, Random Forest, XGBoost) and deep learning (LSTM, BERT). • Ability to write clean, maintainable, and testable code. Required Education & Certifications: • Bachelor’s or Master’s degree in Computer Science, Data Science, Applied Mathematics, or related field. • Relevant certifications in machine learning or cloud platforms (e.g., Google Professional Machine Learning Engineer) preferred.
London, United kingdom
On site
18-09-2025