SearchWorks

Company Name: SearchWorks
Job Title: Senior AI Engineer
Job Description: **Job Title** Senior AI Engineer **Role Summary** Design, build, and own end‑to‑end production machine learning systems and pipelines. Lead the architecture of scalable inference infrastructure, model serving, and MLOps tooling to ensure high reliability, performance, and observability of AI services. Serve as a technical leader, setting long‑term direction for AI platform engineering and mentoring the engineering team. **Expectations** - 10–12+ years of professional experience in AI/ML engineering, with a clear progression to senior technical responsibility. - Demonstrated capability to make long‑term architectural decisions and influence product strategy. - Ability to operate in fast‑paced, high‑ownership environments and deliver measurable impact on product performance and scale. **Key Responsibilities** - Architect and implement production-grade ML pipelines and model deployment workflows using Python. - Design scalable inference and serving solutions that meet strict latency and throughput targets. - Develop and maintain MLOps tools for training, evaluation, monitoring, and automated deployment. - Own the reliability, performance optimization, and observability of AI systems at scale. - Provide technical leadership within the AI engineering team, guiding design reviews, code standards, and mentorship. - Collaborate with product, data engineering, and ops teams to align AI platform capabilities with business goals. **Required Skills** - Expert proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, or equivalent). - Proven experience building and operating production ML systems with high traffic or large‑scale deployments. - Deep knowledge of model serving, inference optimization, and distributed ML infrastructure. - Strong MLOps expertise: CI/CD, cloud deployment, monitoring, and automation. - Familiarity with large language models, transformers, or advanced AI architectures. - Solid software engineering fundamentals: design patterns, code quality, and test-driven development. - Ability to assess and mitigate risks in regulated or enterprise AI contexts (preferred). **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related technical field (or equivalent practical experience). ---

United kingdom

Remote

Senior

15-01-2026

Company Name: SearchWorks
Job Title: Cloud Engineer
Job Description: **Job Title** Cloud Engineer **Role Summary** Design, deploy, and manage enterprise cloud infrastructure to ensure high availability, security, and performance. Optimize and automate services, monitor operations, and drive continuous improvement across the organization’s cloud environment. **Expectations** - Deliver a secure, resilient cloud platform that aligns with organizational strategy and risk‑management guidelines. - Continuously monitor, troubleshoot, and enhance cloud services to meet service‑level objectives. - Maintain compliance with regulatory standards and internal policies. **Key Responsibilities** - Architect and maintain Azure-based infrastructure (VMs, Storage, Networking, Backup, SQL, Cosmos DB). - Implement and manage Microsoft 365 services (Exchange, Teams, SharePoint, Defender, Purview, Intune). - Conduct migrations and configuration of Microsoft Defender for cloud workloads. - Build and refine IaC templates (ARM, Terraform) and automate deployments with PowerShell or Azure CLI. - Configure and operate Azure DevOps pipelines, Git repositories, and CI/CD workflows. - Monitor systems using Azure Monitor, Application Insights, and Log Analytics; respond to incidents and optimize performance. - Support local network operations, troubleshoot connectivity issues, and enforce network security policies. - Identify, assess, and mitigate risks in line with the organization’s risk‑management framework. - Collaborate with stakeholders to meet annual goals and deliver project outcomes. **Required Skills** - Proven hands‑on experience with Azure services: Virtual Machines, Active Directory (Entra), Storage, Firewall, Networking, Backup, SQL Database, Cosmos DB. - Experience migrating workloads to Azure and implementing Microsoft Defender. - Proficiency in scripting (PowerShell, Azure CLI) and IaC tools (ARM, Terraform). - Familiarity with Azure DevOps, Git, CI/CD best practices. - Competence with Azure Monitor, Application Insights, Log Analytics. - Understanding of Azure networking components: VNets, subnets, NSGs, VPNs. - Experience with Microsoft automation tools: Kubernetes, Power Automate/Power Platform, Intune. - Knowledge of regulatory compliance and risk‑management practices. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience). - Microsoft certifications preferred: Azure Solutions Architect Expert, Azure Administrator Associate, Azure Security Engineer Associate, or Microsoft 365 Enterprise Administrator.

Barrow-in-furness, United kingdom

Hybrid

22-01-2026

Company Name: SearchWorks
Job Title: Generative AI Engineer
Job Description: **Job Title:** Generative AI Engineer **Role Summary** Develop and deploy end-to-end generative AI solutions, integrating large language models and optimizing their performance for business applications. **Expectations** - 4+ years of software engineering experience with ML/AI systems. - Strong Python proficiency and ML framework expertise (e.g., PyTorch, TensorFlow, Hugging Face). - Proven track record in building and deploying LLM-powered applications. **Key Responsibilities** - Build and deploy production-ready generative AI features, APIs, and workflows. - Integrate, optimize, and monitor LLMs using prompt engineering and RAG. - Design conversational and agentic AI systems. - Ensure model quality, performance, and cost efficiency. - Implement testing, monitoring, and observability for AI systems. **Required Skills** - Python programming and ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers). - Prompt engineering, RAG, and ML fundamentals. - Development of React, TypeScript, APIs, and cloud-based microservices. **Required Education & Certifications** Not specified.

London, United kingdom

Hybrid

Junior

26-01-2026

Company Name: SearchWorks
Job Title: Data Scientist
Job Description: **Job title** Data Scientist **Role Summary** Design, develop, and deploy data‑health monitoring systems and production‑grade machine learning models to ensure reliability and accuracy of key datasets within a market‑research environment. **Expectations** - Deliver robust, scalable monitoring and alerting solutions. - Integrate ML, statistical models, and LLM tooling into data pipelines. - Own end‑to‑end solution design, implementation, and maintenance. - Collaborate with cross‑functional stakeholders to define metrics, thresholds, and KPIs. - Promote data‑quality best practices and continuous improvement across the organization. **Key Responsibilities** - Design and implement monitoring and alerting systems for datasets and processes. - Define metrics, thresholds, and KPIs in partnership with relevant teams. - Build, maintain, and productionise Python and PySpark ML/statistical models. - Develop automation tools for dynamic product adaptation and workflow efficiency. - Integrate LLM tooling into pipelines to support automation. - Deploy monitoring tools and models on AWS infrastructure. - Investigate and troubleshoot data‑pipeline anomalies. - Champion data‑quality and monitoring best practices across the business. - Apply automation and AI‑assisted tools to enhance delivery efficiency and analytical output quality. **Required Skills** - Proficiency in Python and SQL for analysis, model development, and data interrogation. - Experience deploying statistical or ML models into production environments. - Strong understanding of cloud infrastructure, preferably AWS. - Methodical problem‑solving mindset with high attention to detail. - Ability to scope, define, and deliver complex solutions independently. - Comfortable collaborating with non‑technical stakeholders to define business‑critical metrics. - Self‑motivated, accountable, and committed to continuous learning. - Prior experience building monitoring or data‑quality frameworks is highly desirable. **Required Education & Certifications** - Bachelor’s degree (or higher) in Computer Science, Statistics, Mathematics, Data Science, or a related field; or equivalent practical experience. - Relevant certifications (e.g., AWS Certified Data Analytics – Specialty, AWS Certified Machine Learning – Specialty) are advantageous.

Manchester, United kingdom

Hybrid

28-01-2026

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