Allegis Global Solutions

About the Company

At Allegis Global Solutions (AGS), we're in the human enterprise business. We help companies all over the world transform their people into a competitive advantage. It's not about filling seats. It's about designing workforces to meet missions. With services in 100+ countries, we have a point of view on the future of work that enables us to be a transformative partner in the way work gets done for our clients' organizations. Our Run, Grow, Transform operating philosophy meets clients where they are at on their individual workforce journey. We then design a plan that makes sense for their organization and guide them along a transformational journey, applying bold actions and diverse minds to solve the most complex challenges - from permanent and extended workforce management to services procurement, consulting, direct sourcing and the Universal Workforce Model(tm). Because we believe that when you build a workforce that's designed to harness human enterprise, you design a workforce that's built for impact.

Listed Jobs

Company Name

Allegis Global Solutions

Job Title

Cloud Engineers – Join our Talent Pool!

Job Description

Job title: Cloud Engineer Role Summary: Design, develop, and maintain scalable cloud infrastructure and applications, primarily on GCP, leveraging automation, CI/CD, and IaC to support web services and data pipelines. Expectations: - Proficient in Python programming and building scalable applications. - Experienced with GCP services, deployment, and management. - Skilled in IaC tools (e.g., Terraform) and best‑practice modular development. - Comfortable with automated testing (pytest) and robust test suite creation. - Familiar with DevOps practices, CI/CD pipelines, and Git workflows. - Agile mindset with emphasis on iterative delivery and collaboration. - Background in computational, numerate, or life sciences is a plus. Key Responsibilities: - Develop and maintain cloud‑native web applications and infrastructure. - Automate deployment pipelines and infrastructure provisioning using IaC. - Implement automated testing and quality gate checks for code and infrastructure. - Monitor performance metrics and troubleshoot production incidents. - Conduct code reviews and contribute to continuous improvement of engineering standards. - Collaborate with data and machine‑learning teams to integrate AI/ML components. - Participate in architectural discussions and evolve cloud infrastructure strategy. Required Skills: - Python (core language, libraries, and frameworks). - Google Cloud Platform (Compute, Kubernetes, App Engine, Cloud SQL, Cloud Storage, etc.). - Terraform (or equivalent IaC) with modular and reusable module design. - CI/CD tooling (GitHub Actions, Cloud Build, Jenkins, etc.). - Unit & integration testing (pytest, unittest, or similar). - Git version control, branching, pull requests. - Agile development practices (Scrum or Kanban). - Strong problem‑solving and documentation skills. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, or related technical field preferred. - Relevant cloud certifications (e.g., GCP Associate Cloud Engineer, Professional Cloud Architect) highly desirable.

London, United kingdom

On site

10-11-2025

Company Name

Allegis Global Solutions

Job Title

AI/ML Developers – Join our Talent Pool!

Job Description

**Job Title:** AI/ML Developer **Role Summary** Contribute to AI/ML projects in healthcare R&D, focusing on generative AI, large language models, and end-to-end ML pipeline development. **Expectations** - Minimum 3+ years of experience in AI/ML development. - Proven expertise in deploying AI/ML applications in production environments. - Strong foundation in quantitative disciplines or equivalent professional experience. **Key Responsibilities** - Design and implement safety metrics for generative AI systems, particularly language models. - Conduct user research to identify AI/ML application risks and usability challenges. - Integrate AI/ML components into software architectures, data pipelines, and infrastructure. - Develop and optimize ML pipelines for data processing, model training, and deployment. - Perform rigorous testing and evaluation of ML models for robustness and accuracy. - Collaborate with cross-functional teams to translate research into scalable solutions. - Support deployment and monitoring of AI/ML models in production. **Required Skills** - Advanced proficiency in Python, testing, debugging, and Git/GitHub. - Expertise in generative AI, large language models, and ML evaluation techniques. - Familiarity with agile development methodologies. - Experience with benchmarking ML model performance and safety testing. - Strong analytical skills for insights extraction from generative AI datasets. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering, Bioinformatics, or a related quantitative field. - Equivalent professional experience accepted in lieu of formal education.

London, United kingdom

On site

10-11-2025

Company Name

Allegis Global Solutions

Job Title

Project Manager

Job Description

Job Title: Project Manager – Global Events Role Summary: Own end‑to‑end delivery of multinational broadcast events for CNN/Discovery, managing scope, schedule, budget, and quality. Coordinate internal and external teams, vendors, and stakeholders to ensure on‑time, on‑budget execution and executive visibility. Expectations: Deliver multiple global events on schedule and within budget; maintain clear executive reporting; proactively resolve risks and scope changes; uphold contractual and quality standards. Key Responsibilities: - Lead full project lifecycle for each event (scope definition, scheduling, budgeting). - Coordinate internal workstreams and external vendors to ensure resource alignment. - Facilitate regular status calls with stakeholders and conduct risk mitigation sessions. - Produce concise executive summaries and delivery reports for senior leadership. - Ensure all deliverables meet specifications, contractual obligations, and quality benchmarks. - Escalate and resolve delivery bottlenecks or scope changes promptly. - Maintain comprehensive project documentation and reporting throughout lifecycle. Required Skills: - 5+ years managing large‑scale, complex global projects or events. - Proven track record of delivering projects to completion and on budget. - Strong organizational and multi‑stream management capabilities. - Clear, confident communication for stakeholder engagement and executive reporting. - Ability to work under pressure and adapt quickly. - Proficiency in vendor management, budget monitoring, and timeline control. - Familiarity with project management tools (e.g., Workfront, MS Project). - Experience in media, creative, or corporate event delivery (desirable). - Comfortable working in matrixed/global organisations (desired). Required Education & Certifications: - Bachelor’s degree in Business, Communications, Event Management, or related field. - Professional project management certification (PMP, PRINCE2, or equivalent) preferred.

London, United kingdom

Hybrid

Mid level

21-11-2025

Company Name

Allegis Global Solutions

Job Title

Back-end Engineers – Join our Talent Pool!

Job Description

Job Title: Back‑End Engineer (Talent Pool) Role Summary: Senior back‑end developer with strong Python expertise, cloud‑native architecture skills (Google Cloud preferred), and experience integrating AI/ML components. Works in agile, collaborative environments, delivering production‑ready code with automated testing and CI/CD pipelines. Expactations: Must reside in the UK, be available for future opening assignments, demonstrate a proactive mindset for early commits and frequent deployments, and stay current on AI/ML and cloud technologies. Key Responsibilities: • Design, develop, and maintain Python‑based web services and APIs. • Integrate generative AI and machine‑learning modules into backend systems and data pipelines. • Build and maintain cloud infrastructure (GCP) for scalable, secure web applications. • Write comprehensive unit and integration tests, and maintain robust test suites. • Participate in code reviews, documentation, and knowledge sharing across cross‑functional teams. • Apply continuous integration, deployment, and DevOps best practices. • Collaborate with front‑end, data science, and product teams to deliver end‑to‑end solutions. Required Skills: • Python programming (advanced), unit testing frameworks (pytest, unittest). • Cloud services (Google Cloud Platform) and infrastructure‑as‑code (Terraform, Cloud Deployment Manager). • Version control (Git, GitHub), branching, pull‑request workflow, and CI/CD pipelines (Jenkins, Cloud Build). • Agile methodologies (Scrum/Scrumban) and iterative development culture. • Automated testing tools and continuous integration workflows. • Familiarity with generative AI concepts and large language models (LLMs). • Strong grasp of web development best practices, API design, and secure coding standards. Required Education & Certifications: • Bachelor’s or Master’s degree in Computer Science, Computational Biology, Bioinformatics, Engineering, or a related quantitative discipline (or equivalent professional experience). • No mandatory certifications, but knowledge of cloud or AI/ML related credentials is a plus.

London, United kingdom

On site

27-11-2025