Experis UK

About the Company

Experis is a global leader in IT professional resourcing, project solutions and managed services. As the need for IT skills accelerates, we help organisations transform their digital infrastructure, enterprise applications, cloud and cyber security. Through Experis Academy, we deliver the powerful combination of in-demand technical skills together with the soft skills that are critical for business success.

Experis is part of ManpowerGroup, a Fortune 500 Global Business and world leader in innovative workforce solutions.

Listed Jobs

Company Name

Experis UK

Job Title

Cloud Engineer CGEMJP00313987

Job Description

Job title: Cloud Engineer Role Summary: Cloud Engineer (contract, 9‑12 months until 31 Dec 2026). Responsible for designing, deploying, and maintaining AWS infrastructure and containerised services using Kubernetes and related tooling. Ensures continuous delivery pipelines, network security, and high‑availability of application workloads. Expactations: Deliver scalable, secure and reliable cloud solutions; automate infrastructure and deployments; collaborate with development teams; provide troubleshooting and performance tuning; maintain up‑to‑date knowledge of AWS services and DevOps best practices. Key Responsibilities: - Provision and manage AWS resources via CloudFormation templates. - Deploy and operate containerised workloads on Amazon ECS/EKS and Kubernetes clusters. - Configure and maintain AWS services: API Gateway, Lambda, EC2, RDS (Oracle), MSK, ELB, VPC, subnets, peering, firewalls. - Build and maintain CI/CD pipelines using Jenkins, Bitbucket/GitLab, Nexus, Git, Jira. - Script automation with PowerShell, Perl, Ruby, Node JS, or Python. - Monitor, log, and optimise application performance and security. - Work with Linux VMs and Kubernetes nodes; manage Docker images and container registries. - Liaise on network architecture and security controls for a controlled environment (e.g., banking/financial services). - Document infrastructure designs, procedures and best practices. Required Skills: - Minimum 9 years IT industry experience. - 5+ years container/Kubernetes experience (EKS, ECS, K8s). - 3+ years AWS CloudFormation and AWS service implementation. - Proficiency with DevOps tooling: Jenkins, Bitbucket/Git, Nexus, Jira. - Experience with Java‑based microservices, API design. - Strong Linux operating system administration skills. - Deep understanding of cloud networking: VPC, subnets, peering, firewalls. - Scripting proficiency in PowerShell, Perl, Ruby, Node JS, or Python. - Docker image creation and orchestration knowledge. - Exposure to regulated environments (banking/financial services). - Familiarity with Oracle database on AWS RDS (preferred). Required Education & Certifications: - Relevant AWS certification(s) (e.g., AWS Certified Solutions Architect, Developer, DevOps Engineer). - Minimum of a bachelor’s degree in Computer Science, Information Technology or equivalent (implicit).

Knutsford, United kingdom

Hybrid

Senior

19-09-2025

Company Name

Experis UK

Job Title

Machine Learning Engineer (LLMs & AI Agents)

Job Description

**Job Title:** Machine Learning Engineer (LLMs & AI Agents) **Role Summary:** Design, deploy, and optimize large language model (LLM)-powered AI agents end-to-end, from research to scalable production systems. Focus on generative AI solutions for measurable business impact. **Expectations:** - Minimum 2 years hands-on ML/AI experience (e.g., recommendation systems, data mining). - Proven experience building/deploying generative AI/LLM systems. - Proficiency in Python and frameworks like PyTorch/TensorFlow. - Understanding of MLOps practices (evaluation, monitoring, scaling). - Master’s degree in Computer Science, AI, ML, or related field. **Key Responsibilities:** - Architect and implement LLM-powered agents for production deployment. - Build tools, frameworks, and annotation workflows to refine agent performance. - Establish production-quality standards for LLM systems and guide implementation. - Conduct A/B testing, evaluation pipelines, and latency optimization. - Collaborate with researchers to analyze failure modes and develop robust solutions. **Required Skills:** - Python programming. - PyTorch or TensorFlow. - MLOps practices (evaluation, monitoring, scaling). - Experience with LLMs/genAI system deployment. **Required Education & Certifications:** - Master’s (or equivalent experience) in Computer Science, AI, or ML. - Preferred: Annotation schema design experience, Kaggle Master certification, or published research in AI/ML (bonus).

London, United kingdom

On site

Junior

20-09-2025

Company Name

Experis UK

Job Title

Lead Data Engineer

Job Description

**Job Title:** Lead Data Engineer **Role Summary** Lead the design, development, and maintenance of end-to-end data infrastructure to ensure accurate, secure, and accessible data. Oversee team operations, set technical standards, and drive innovation in data architecture and analytics. **Expectations** - Define and execute data strategy, aligning with business objectives. - Manage resources, budgets, and policies for continuous improvement. - Foster leadership behaviors (Lead, Engage, Align, Develop) to cultivate a high-performance team. - Guide technical decisions for complex, multi-year projects. - Collaborate cross-functionally to resolve organizational risks and drive strategic outcomes. **Key Responsibilities** - Architect and maintain scalable data pipelines, warehouses, and lakes for real-time and batch processing. - Develop advanced algorithms for data analysis and machine learning integration. - Partner with data scientists to implement and deploy ML models. - Ensure compliance with security, governance, and risk management frameworks. - Advise stakeholders on data strategy and cross-functional operational alignment. - Identify and mitigate risks through analytical problem-solving and process optimization. **Required Skills** - Expertise in data engineering (pipelines, ETL/ELT, cloud platforms). - Proficiency in real-time data processing (streaming, event-driven architectures). - Data modeling and schema design for warehouses/lakes. - Strong programming skills (Python, SQL, cloud tools). - Leadership experience in technical teams or complex project management. - Strategic thinking for business alignment and risk mitigation. **Required Education & Certifications** - Bachelor’s/Master’s in Computer Science, Engineering, or related field. - Certifications in data engineering, cloud platforms (AWS/Azure), or data governance (CDMP, CDP) preferred.

Glasgow, United kingdom

Hybrid

Senior

20-09-2025

Company Name

Experis UK

Job Title

Salesforce Architect

Job Description

**Job Title:** Salesforce Architect **Role Summary:** Lead the design, architecture, and implementation of complex, multi‑cloud Salesforce solutions. Define and maintain the platform roadmap, ensure scalability, security, and alignment with business objectives, and provide technical leadership to development teams. **Expectations:** - Deliver end‑to‑end Salesforce architecture that meets performance, security, and compliance standards. - Guide and mentor development teams on best practices and design patterns. - Collaborate with stakeholders to translate business requirements into technical solutions. - Maintain up‑to‑date expertise on Salesforce releases and emerging technologies. **Key Responsibilities:** - Create and maintain a comprehensive Salesforce architecture roadmap, including data models, integrations, and customizations. - Design and document scalable solutions across Sales Cloud, Service Cloud, Marketing Cloud, Experience Cloud, etc. - Conduct architectural reviews, enforce governance policies, and establish development standards. - Design complex integrations (REST/SOAP, middleware) and data migration strategies while ensuring data quality and integrity. - Implement security controls and ensure compliance with GDPR, CCPA, and other regulations. - Facilitate requirement‑gathering workshops and present technical solutions to senior leadership. **Required Skills:** - Deep expertise in Salesforce configuration, Apex, Lightning Web Components, Visualforce. - Strong knowledge of Salesforce architecture, data modeling, and integration patterns. - Experience with integration tools (REST/SOAP APIs, middleware platforms). - Proven ability to design secure, compliant solutions and conduct security assessments. - Excellent communication, stakeholder management, and problem‑solving abilities. - Agile development experience. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience). - Salesforce certifications strongly preferred: Certified Technical Architect (CTA), Certified Solution Architect, Certified Platform Developer, or similar.

Northampton, United kingdom

Hybrid

20-09-2025