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We are looking for a technically capable and detail-oriented Engineer to join our sales and support team for a well-known Security Integrator . You will be responsible for supporting cloud-hosted systems on AWS, with a strong focus on containerized environments using Docker and Docker Swarm. Our systems provide critical infrastructure for physical and electronic security solutions, so reliability, responsiveness, and attention to detail are essential. You’ll work closely with development, security, and infrastructure teams to ensure uptime, resilience, and ongoing improvement of our platform. Key Responsibilities: Provide support for cloud-hosted production and staging environments used in electronic security platforms. Monitor, maintain, and troubleshoot distributed containerized services using Docker and Docker Swarm. Respond to and resolve incidents, working to minimize downtime and ensure high system availability. Investigate system performance, log anomalies, and service issues, escalating when appropriate. Collaborate with DevOps and software engineering teams to implement improvements and automation. Maintain thorough documentation of system configurations, processes, and known issues. Assist in system upgrades, patching, and performance tuning. Support security compliance and auditing activities where applicable. Participate in an on-call support rotation. Required Skills & Experience: 2+ years of experience in a technical support, DevOps, or infrastructure engineering role. Strong hands-on experience with Docker and Docker Swarm in a production environment. Proficiency with core AWS services: EC2, S3, CloudWatch, IAM, ELB, ECS/ Fargate, and RDS. Solid understanding of Linux server environments, command-line operations, and scripting. Experience in supporting real-time or mission-critical systems (security, IoT, or similar sectors). Familiarity with log aggregation, monitoring, and alerting tools (e.g., ELK, Prometheus, Grafana). Good understanding of networking, VPNs, load balancing, DNS, and firewalls. Comfortable with Git and CI/CD workflows. Excellent troubleshooting skills and structured problem-solving approach. Strong written and verbal communication skills. Desirable / Nice to Have: Experience with Microsoft Azure cloud services. Background or familiarity with electronic security systems, access control, or surveillance technology. Exposure to Infrastructure as Code tools (e.g., Terraform, CloudFormation). Knowledge of container security and cloud compliance best practices. Experience with scripting languages (e.g., Python, Bash, PowerShell). Understanding of security certifications or industry compliance (e.g., ISO 27001, SOC 2) is a plus. Experience with Kubernetes or OpenShift for container orchestration. Familiarity with CI/CD pipelines and automation tools (e.g., GitHub Actions, Jenkins). Exposure to monitoring tools like Prometheus, Grafana, or ELK stack. Experience supporting enterprise customers in a B2B SaaS or software product company. Experience with access control and intrusion detection systems. Familiarity with virtualization technologies (e.g., VMware, Hyper-V). Knowledge of database systems (e.g., PostgreSQL, MS SQL). Relevant industry certifications (e.g., CompTIA Network+, Security+, CCNA). Experience providing technical training to end-users. Required Qualifications: Experience: 3+ years in a technical support, DevOps, or systems engineering role. Hands-on experience with Docker, docker-compose, and container lifecycle management. Experience supporting or integrating MinIO or similar S3-compatible object storage. Technical Skills: Familiarity with advanced networking concepts and protocols (TCP/IP, DNS, DHCP, VLANs, routing, proxies, firewall configuration, etc.). Strong Ubuntu Linux system administration and troubleshooting skills. Proficient in working with CLI tools and analyzing logs. Experience with storage solutions, volume mounts, and container data persistence. Soft Skills: Excellent communication skills for dealing with technical and non-technical users. Problem-solving mindset with attention to detail. Excellent troubleshooting and problem-solving skills with a logical and methodical approach. Ability to manage multiple priorities and respond promptly to issues. Mayflower is acting as an Employment Agency in relation to this vacancy.

We’re looking for a skilled and enthusiastic JavaScript Solutions Engineer to play a key role in supporting our client's Sales, Project, Product and R&D teams in conducting technical discussions with online retailers and brands wishing to expand their cross-border business with our client's SaaS software solution. The job will include leading technology and integration with prospects and existing clients, face-to-face and virtually. Enable Cross-Functional Collaboration · Develop and maintain strong relationships with Partnerships, Agency Leads, and Product teams · Leverage your deep technical expertise to build trust by understanding their offering, technology, and customer needs · Build engagement plan including product & services fit analysis, enablement, integration strategy · Develop partner content and material as technical presentations, trainings, consultations, integration guides, and best practices • 8+ years of experience of coding skills with primarily JavaScript and Typescript. If you've got Python, HTML/CSS, C# and/or Java... well that's even better!, • Experience in web applications deployment (AWS, Azure, IIS, etc.) in a Windows or Cloud environment., • Data normalization and field mapping are concepts that you are familiar with., • Consulting and/or client facing experience, understand the importance of timely communications and see value in collaborating with colleagues to find the best possible solution., • Entrepreneurial spirit, you feel you achieve so much more by working along with a customer or partner than alone between four walls. If this sounds of interest, get in touch!

AI Engineer Job Tenure: Full-time, permanentSalary: CompetitiveCompany Description Ready to join a team thats leading the way in reshaping the future of insurance? Here at esure Group, we are on a mission to revolutionise insurance for good! We’ve been providing Home and Motor Insurance since 2000, with over 2 million customers trusting us to keep them covered through our esure and Sheilas’ Wheels brands. With a bold dedication for digital innovation, were transforming the way the industry operates and putting customers at the heart of everything we do. Having completed our recent multi-year digital transformation, we’re now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future. Job Description We currently have a phenomenal opportunity for an AI Engineer to join our us as we enhance our customer experience by harnessing the power of NLP, large language models, and flawless integration with third-party GenAI services. In this dynamic role, youll be involved in every stage of the AI lifecycle, from brainstorming ideas and crafting prompts to fine-tuning models and deploying them into production. Success in this role is measured through rigorous A/B testing, ensuring our solutions deliver real value. Youll have the opportunity to work on a variety of impactful projects across the entire enterprise. We are seeking an innovative individual who shares our vision to fix insurance for good. What you’ll do: Collaborate with business partners to identify use-cases where GenAI can provide measurable benefits. Support the data science and AI team in deploying scalable AI applications across the enterprise. Work with a multi-functional team (DevOps, data engineers, developers, testers, Infosec) to productionize AI services on AWS. Enhance our tech stack, including MLOps, CI/CD pipelines, UI, and AI Python libraries. Develop prompts, fine-tune models, and track results. Evaluate third-party GenAI and LLM technologies for cost-benefit analysis. Deliver projects from scoping and R&D to production deployment and benefit measurement. Follow and contribute to standards for code quality, R&D, and model development. Engineer data for optimal AI application performance. Advise peers and senior management on business and customer impact. Write production-grade Python code, leveraging CI/CD, Databricks, and ensuring appropriate test coverage; proficiency in SQL. Liaise with third-party partners and stay updated on field advancements and regulations. Collaborate with data governance and data management teams on data requirements. Qualifications What we’d love you to bring: You are a self-starter with experience in delivering research + models to production to drive tangible commercial benefits and improved customer experiences. You thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business. PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting, Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them to strong results. Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc. Knowledge of Langchain, huggingface and LLM offerings by 3rd party vendors. Knowledge of OO programming and software design, i.e., SOLID principles. Knowledge and working experience of AGILE methodologies. Familiarity with Databricks, and RAG application architecture a plus Experience with latency optimisation and quantisation preferred Additional Information What’s in it for you?: Competitive salary that reflects your skills, experience and potential. Discretionary bonus scheme that recognises your hard work and contributions to esure’s success. 25 days annual leave, plus 8 flexible days and the ability to buy and sell further holiday. Our flexible benefits platform is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances. Company funded private medical insurance for qualifying colleagues. Fantastic discounts on our insurance products! 50% off for yourself and spouse/partner and 10% off for direct family members. We’ll elevate your career with hands-on training, mentoring, access to our exclusive academies, regular career conversations, and expert partner resources. Driving good in the world couldn’t be more important to us. Our colleagues can use 2 volunteering days per year to support their local communities. Join our internal networks and communities to connect, learn, and share ideas with likeminded colleagues. We’re a proud supporter of the ABI’s ‘Make Flexible Work’ campaign and welcome you to ask about the flexibility you need. Our hybrid working approach also puts you in the driving seat of how and where you do your best work. And much more; See a full overview of our benefits here Reward and benefits | Esure Group PLC We are committed to creating an inclusive and diverse workplace where everyone feels valued, respected, and empowered. We celebrate individuality and create spaces where unique backgrounds and experiences can come together. We believe that diverse perspectives drive innovation, in turn enabling us to better serve our customers, community and build a stronger organisation. Our commitment to inclusion extends to every part of our business, from hiring practices to professional growth opportunities, ensuring equal access and support for all.

As a Senior Software Engineer you will join one of the Investment Tech Engineering teams to design, develop and implement robust applications that serve Portfolio Managers, Equity Analysts, Quant and Data Insights, Decision Analytics and Performance teams. Senior Software Engineer / Developer (. You

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As a Software Engineer II at JPMorganChase within the Commercial & Investment Bank - Securities Services Analytics Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market‑leading technology products in a secure, stable, and scalable way. Formal trainin

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Mentor other engineers in the team in software engineering best practices. As a Lead Software Engineer at JPMorgan Chase within the Global Banking Platform (GBP), you are an integral part of a team that works to enhance, build, and deliver trusted market‑leading technology products in a secure, st

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A leading insurance company in the UK is seeking a Senior Software Engineer to enhance their Cyber Data Services. The ideal candidate has over 4 years of experience in Python and SQL, with a strong understanding of cloud environments.

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Senior Software Engineer - Python/C++ - London Inside IR35 - £650 - £900 a day - April Start. Hexwired Recruitment has recently partnered with a highly successful solutions provider based in London now seeking Several Senior Software engineers with experience using C++ and/or Python for Digital Tr

Research and apply knowledge of current industry trends and techniques to formulate solutions for software engineering problems. Collaborate with a robust team of engineers to sharpen your skills, learn various emerging technologies while working on key business initiatives. Ability to lead team mem

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A global financial information services provider is seeking a Software Engineer to join their team in Manchester. Candidates should have at least 5 years of software engineering experience and a bachelor’s degree in a related field. The role involves developing full-stack applications using Java,

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Leads communities of practice across Software Engineering to drive awareness and use of new and leading‑edge technologies. Mentors engineer within the team and drive practice across junior engineers in the team, as well as researchers / data scientists as they prototype solutions. Formal training

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