Hamilton Barnes Associates Limited

Responsibilities Rebuild and refactor Legacy automation scripts into Python-based microservices Contribute to the design and implementation of a new automation framework Analyse existing functionality and determine what should be retained, refactored, or removed Integrate services with infrastructure and network systems using APIs and SSH Collaborate with cross-functional teams to ensure scalable and maintainable solutions Follow and contribute to DevOps best practices including CI/CD and version control Support knowledge transfer and handover to internal development teams Skills / Must Have Strong Python development experience, ideally in automation or Back End systems Solid understanding of DevOps practices (CI/CD, Git workflows, testing) Experience working with Linux environments and Bash Scripting Experience building or contributing to microservices architectures Ability to develop reusable libraries and clean, maintainable code Familiarity with API integrations (REST, SSH or similar) Desirable Skills Experience with Kubernetes or containerised environments Understanding of distributed systems or message queuing (eg RabbitMQ) Exposure to network automation or infrastructure environments Knowledge of software engineering best practices (SOLID, TDD) Contract Details Location: UK (Remote with occasional onsite if required) Duration: 12 months Start: ASAP Rate £500 per day Inside IR

Hamilton Barnes Associates Limited is seeking a Python developer to rebuild legacy automation scripts into Python-based microservices. The role involves designing a new automation framework and collaborating with teams on scalable solutions. Must have strong Python experience, understanding of DevOps practices, and familiarity with Linux. This is a 12-month contract with a rate of £500 per day, offering remote work with occasional onsite presence when required.

Hamilton Barnes Associates Limited is seeking a skilled Infrastructure Engineer to design and deliver enterprise infrastructure solutions in Glasgow with hybrid working. Candidates should have extensive hands-on experience with VMware vSphere, vSAN, and Nutanix, and be comfortable collaborating with network teams. Offering £350-£400 per day within IR35 regulations, this role involves troubleshooting complex infrastructure issues and contributing to design reviews with senior stakeholders.

Responsibilities Design, build, and implement enterprise network solutions Deliver across a major data centre transformation programme Support network migrations, optimisation, and traffic engineering Decommission legacy infrastructure and consolidate services Configure and manage routing, switching, and firewall technologies Own network performance, stability, and continuous improvement Produce technical documentation including runbooks and handovers Collaborate with cross-functional teams across infrastructure and operations Support planned migration activities (including occasional weekend work) Skills / Must Have Strong experience with Cisco Data Centre technologies Solid Routing & Switching expertise (CCNP level or equivalent) Proven ability to configure and troubleshoot enterprise-grade networks Hands-on experience with Fortinet / FortiGate firewalls Strong understanding of network security principles Ability to operate both independently and within a team Experience working in complex, large-scale environments Desirable Skills Experience with Juniper networking technologies Exposure to Palo Alto firewalls Background in financial services or regulated environments Working Setup Cisco Data Centre networking technologies Enterprise routing and switching Fortinet / FortiGate firewalls Multi-vendor environments (Cisco, Juniper) Large-scale enterprise network infrastructure Data centre environments and migrations Location & Working Pattern London - Hybrid working 3 days onsite (likely reducing to 1-2 days) Occasional data centre visits Some out-of-hours work during migration phases Benefits Work on a business-critical transformation programme High ownership within a core engineering team Exposure to large-scale, complex network environments Strong visibility across infrastructure and leadership teams Salary £70,000 base salary Competitive package depending on experience

Ready to start something new? Join a leading AI-powered pricing and underwriting platform for commercial insurers, helping transform how risk is understood, priced, and managed across the global insurance ecosystem. The organisation supports insurers, reinsurers, and MGAs in making faster, more confident decisions across pricing, rating, and portfolio optimisation, backed by strong actuarial expertise and advanced engineering. Its platform enables rapid model development and deployment with enterprise-grade security, auditability, and transparency, driven by a culture focused on intelligence-led decision-making, ownership, and continuous innovation. This is a high-impact leadership mandate for a seasoned engineer to join a global leader in next-generation mathematical modelling. As a "Staff" level hire, you will be a vital senior leader within the business, building agentic AI systems that have literally never been developed before in this sector. Join the only company in the world doing what they do; you won't just be implementing AI, you will be defining how a whole industry uses it. This is a chance for you to move beyond "wrappers" and prototypes. This role is about shipping and running complex agent stacks that deliver real-world reliability and accuracy. Take ownership of the AI roadmap, balancing high-risk R&D with structured delivery, while mentoring the next generation of AI technical leaders. If you are interested in learning more about this opportunity, get in touch and apply today. Responsibilities Technical Delivery: Own end-to-end execution to improve agent success, latency, and reliability within the core platform. Risk Management: Lead an "explore/exploit" model, utilising technical spikes and kill criteria to effectively de-risk R&D initiatives. Strategic Partnership: Collaborate closely with Product and Research teams to validate complex use cases and steer the long-term AI roadmap. Engineering Velocity: Drive the Developer Experience (DevEx) roadmap and CI/CD infrastructure to accelerate AI deployment cycles. Talent Development: Actively mentor AI Engineers into technical leaders capable of owning and scaling complex agentic architectures. Skills/Must have LLM Production: Proven experience shipping and running LLM-based systems in a production environment (not just internal prototypes). Python Expertise: Production-grade Python engineering skills-you must be comfortable writing robust, scalable code beyond simple scripting. Communication: Exceptional soft skills; as a senior leader, you must be able to articulate complex AI concepts to both technical and non-technical stakeholders. Problem Solving: A methodical approach to de-risking research and turning it into reliable software. Benefits Equity: Participation in a stock option scheme. Learning & Development: A significant £5,000 annual training budget to keep you at the forefront of AI. Wellbeing: Comprehensive private healthcare. Salary £130,000 - £160,000 (Based on experience)

Here at Hamilton Barnes we are a Recruitment Consultancy that focuses on recruiting Networking & infrastructure specialists globally. I have a brilliant opportunity working with an American Multinational company, working on planning, implement, oversee and maintain server and storage infrastructures. How much can we pay you: Up to £50,000 basic salary Euros Competitive bonus Why would you want to wo...... click apply for full job details