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Your new companyYou'll be joining an organisation that is modernising its infrastructure by adopting OpenShift at scale. The company is heavily invested in cloud-native transformation, containerisation, and enterprise-grade virtualisation/storage technologies such as VMware and Pure Storage. The environment is fast-moving, innovative, and focused on high availability, automation, and a strong DevOps culture.Your new roleAs an OpenShift Architect (Migration & Integration Specialist), you will design and build the end-to-end architecture for OpenShift deployments and lead major migration initiatives. You will create scalable, secure, and highly available OpenShift solutions while ensuring seamless integration with VMware and Pure Storage environments.Your work will span architecture design, migration planning, CI/CD enablement, automation, and cross-team collaboration.What you'll need to succeedTo excel in this role, you should bring:Technical ExpertiseStrong experience designing and implementing OpenShift architectures.Deep understanding of Kubernetes, containers, networking, and storage.Hands-on knowledge of VMware stack: vSphere, vCenter, NSX.Experience configuring Pure Storage: FlashArray, FlashBlade.Strong CI/CD background (Jenkins, GitHub, ArgoCD) and DevOps practices.High availability, security (RBAC, encryption, policies), and scalability expertise.Solid migration project experience - containerisation, data migration, workload transformation.Automation and scripting: Bash, Python, Ansible, Terraform.Soft SkillsExcellent communication and documentation skills.Strong problem-solving approach.Ability to work with developers, DevOps, infra teams, and leadership.Nice to HaveOpenShift certifications.Multi-cluster or hybrid cloud OpenShift experience.Monitoring/logging stack familiarity (oTel, Grafana, Splunk).Experience with Helm charts and Operators.What you'll get in returnOpportunity to lead large-scale, high-impact OpenShift migration and architecture initiatives.Work with cutting-edge cloud-native, virtualisation, and storage technologies.A chance to influence enterprise-level architecture decisions and best practices.Collaboration with senior engineering, DevOps, and architecture teams, boosting visibility and career growth.Exposure to multi-region deployments, automation, and modern DevOps ecosystems.The ability to shape future OpenShift adoption strategies across the organisation.What you need to do nowIf you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Talent Solutions is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

We are seeking a highly skilled Storage & Infrastructure Engineer to join our Enterprise Services team. This role is ideal for someone with deep technical expertise in storage platforms, automation, cloud infrastructure, and DevOps practices, who is passionate about delivering high-quality services and driving continuous improvement. Key ResponsibilitiesStorage & Platform Engineering • Certify, test and develop new features and platforms across SAN infrastructure, primarily Dell PowerMax/Vmax-3/XtremIO, Pure FlashArray, HP Primera/Alletra and Cirrus DMS using Broadcom and Cisco SAN switches/directors and iSCSI connectivity., • Carry out end-to-end server-to-storage mapping and remediation activities., • Provide enterprise platform services across UNIX/Linux, Windows, virtualisation and storage environments., • Support the delivery of Developer Services such as virtualisation, ALM, Dev Engineering, Development and Cloud., • Develop cloud-based infrastructure platforms and deliver Infrastructure/Platform-as-a-Service in collaboration with business and DevOps teams., • Ensure service quality targets are met for all platforms., • Manage risk and cost across services and technologies., • Write development code and build automated test scripts for infrastructure products and upgrades., • Contribute to CI/CD pipelines and build automation interfaces between systems., • Expertise in server operating systems: Linux (RHEL), Windows, VMware., • Deep technical knowledge of Dell PowerMax/Vmax3/SRDF/XtremIO, Pure FlashArray, HPE Primera, Cirrus DMS., • Strong experience in Python, Ansible and Shell scripting for automation and as-a-service capabilities., • Proven capability in storage migration (server- and storage-based)., • Experience with infrastructure as code and automation/orchestration tools such as Puppet, Chef, Ansible Tower, Jenkins., • Understanding of cloud and storage infrastructure architecture., • Background in storage engineering, scripting, or automation roles., • Experience with CI/CD engineering approaches., • Experience with Agile methodologies and DevOps practices (desirable). Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Hiring: VMware Virtualization Engineering POD Lead (Product Owner – Virtualization Platform) Location : London ,UK We are looking for a Senior VMware Infrastructure Leader to drive the strategy, engineering, and reliability of a large-scale enterprise virtualization platform within a global financial services environment. Key Responsibilities • Lead and mentor a team of VMware engineers within an engineering POD, • Define and drive the VMware platform vision, strategy, and lifecycle, • Design, deploy, and manage enterprise VMware environments, • Drive automation and reliability improvements across infrastructure, • Collaborate with cross-functional teams including Engineering, Operations, Applications, and Vendors, • Implement SRE best practices, monitoring, and platform resilience Required Expertise • 15+ years of IT experience with strong infrastructure engineering background, • Deep expertise in VMware technologies (vSphere, vCenter, vROPS, vRO, vRLI, vRLCM), • Strong experience in automation using PowerCLI, Python, Ansible, or vRealize workflows, • Solid understanding of distributed systems, networking, storage, and high-availability architectures, • Proven leadership and stakeholder management skills, • Experience working in large enterprise or financial services environments preferred If you or someone in your network has strong VMware platform leadership experience, feel free to connect or send your profile via direct message. #VMware #Virtualization #InfrastructureEngineering #PlatformEngineering #SRE #Hiring #TechLeadership

Principal AI Platform Engineer Sheffield This is a standout opportunity to join a digital‑first insurer that is scaling an entirely new AI function. You will be the first permanent hire into a growing division, giving you direct ownership of production AI systems, end‑to‑end agentic automation, and the technical direction of a brand‑new platform. The Company They are a tech‑led insurer transforming how complex home insurance is delivered. Their vision is to become the UK’s first fully AI‑driven insurer, supported by modern cloud infrastructure and a collaborative product‑focused culture. The Role You will play a lead role in shaping, building, and scaling their AI platform, working closely with an AI Product Manager and senior leadership. Your work will focus on making AI production‑ready, highly scalable, and reliable across the business. Key responsibilities include: • Designing and delivering an AI platform that supports large‑scale agentic automation and end‑to‑end claims journeys, • Building robust RAG pipelines, LLM‑based systems, and deployment frameworks, • Developing AI agents for claims handling, internal tooling, and customer‑facing chat solutions, • Evolving an internal AI assistant and expanding its capabilities across teams, • Working hands‑on across cloud infrastructure, observability, evaluation, and optimisation, • Collaborating with engineering, product, and operations teams to take roadmap concepts into production Your Skills and Experience • Strong commercial experience in AI engineering or software engineering with a focus on LLMs and production AI systems, • Expertise in deploying AI models and agents at scale, including RAG, embeddings, and LLM tooling, • Hands‑on cloud engineering experience, ideally in GCP and its AI ecosystem, • Strong Python engineering ability and experience building production‑grade services, • Experience working with vector search, data ingestion, observability, and experimentation frameworks, • A STEM background or equivalent technical capability What They Offer • Salary up to 90,000 plus benefits, • Hybrid working with 1–2 days per week in their Sheffield office, • The chance to join as the first hire in a scaling AI division with a 10‑role roadmap, • Significant autonomy, influence, and end‑to‑end ownership of AI platform design, • The opportunity to build cutting‑edge agentic systems and production AI from the ground up How to Apply If you are excited by the opportunity, please apply with your CV.

Project Controls Reporting Analyst 💰 £50,000 – £70,000 📍 Any UK main city (Hybrid with more remote %) 🎓 Maths degree preferred My client is hiring a Project Controls Reporting Analyst to work across some of the UK's most complex infrastructure programmes — nuclear, rail, defence, aviation. This isn't a dashboard-builder role. You'll own the analytical integrity behind cost intelligence that senior stakeholders, programme teams, and independent assurance bodies actually rely on. Not just how to build a dashboard — but what the numbers mean, where the uncertainty lives, and why the model's conclusions might be wrong? What you'll be doing: → Analysing large, complex cost datasets — variability, uncertainty, distributions, outliers → Producing cost intelligence outputs that hold up under scrutiny → Building benchmarks, models, and analytical frameworks across major programmes → Presenting complex analysis clearly to senior, non-technical audiences → Defending your conclusions under challenge — and doing it with confidence → Driving automation and tooling to improve consistency What we're looking for: → Strong data analysis — you understand variability, distributions, and confidence → Advanced Excel and Power BI · SQL a bonus · Python desirable → Experience in cost, commercial, or capital project environments → Intellectually rigorous — you push back on weak inference, not just accept it → Clear communicator who can turn numbers into decisions You can be based anywhere in the UK and ideally will have project delivery experience. Apply now and connect to Chirag Shah, UK’s 1 Project Controls recruiter of choice.

The Role’s Purpose and Value: The Vice President / Senior Vice President of Software Engineering is responsible for defining, leading, and owning the engineering organisation that delivers Talogy’s product portfolio. This strategic role requires a leader who can build strong relationships across the organisation, collaborate effectively with senior stakeholders, and translate business priorities into a clear, scalable engineering strategy. The VP/SVP will shape Talogy’s engineering direction, partnering closely with the CTPO and business unit leads to identify, assess, and prioritise product initiatives. They will support sales and account management teams in client acquisition, retention, and growth by ensuring our technology capabilities meet evolving market needs. A key part of the role is leading and empowering the engineering organisation—ensuring teams are equipped, aligned, and enabled to deliver against the product roadmap. This role also plays a critical part in advancing Talogy’s use of AI, both in enhancing engineering productivity and in exploring how AI-driven capabilities can be responsibly incorporated into our products. This is a full-time, permanent position based in the UK or US, with flexible hours around core weekday availability. The role reports to Talogy’s Chief Technology & Product Officer (CTPO) and can be performed remotely, with occasional international travel for meetings, events, and workshops. Core Skills and Responsibilities: Technical Authority & Architecture Ownership: • Serve as the definitive technical decision-maker for Talogy’s engineering organisation — owning architectural direction, resolving technical trade-offs, and setting the standards by which all engineering work is evaluated., • Lead the Architectural Review Board with authority: evaluate and challenge architectural proposals, enforce consistency and scalability standards across all products, and ensure technical debt is actively managed and quantified., • Define and govern Talogy’s cloud infrastructure strategy (AWS, Azure, or GCP), including multi-tenant architecture, data isolation, platform reliability, and disaster recovery posture., • Own Talogy’s security engineering posture — including application security, secrets management, vulnerability management programmes, and compliance with SOC 2, GDPR, and relevant data protection frameworks., • Drive platform and integration architecture decisions across Talogy’s fragmented, acquisition-heavy tooling estate, bringing coherence to a complex multi-system environment., • Evaluate build vs. buy decisions with rigour — producing structured analysis on make-or-buy trade-offs, vendor selection, and technical partner assessments. AI Strategy & Enablement: • Define and lead Talogy’s AI engineering strategy — spanning both the use of AI to accelerate engineering productivity and the responsible integration of AI capabilities into Talogy’s products and assessments., • Establish a practical AI adoption roadmap: evaluate LLM/ML tooling, agentic frameworks, and AI-assisted development platforms; pilot responsibly; scale what works., • Ensure AI product features meet the ethical, legal, and regulatory expectations of an IO psychology and talent management context — including fairness, bias evaluation, explainability, and data governance., • Keep Talogy’s engineering teams ahead of the curve on applied AI — from code generation and test automation to AI-native product features and assessment intelligence. Team Leadership & Talent Development: • Lead, develop, and scale a geographically distributed engineering organisation spanning the US, UK, India, and other locations — setting a high bar for technical craft, delivery discipline, and team culture., • Recruit, retain, and grow senior engineering talent; lead a hiring bar that reflects the technical ambition of the organisation and establish career ladders that differentiate individual contributors from engineering managers., • Own engineering performance management end-to-end — establishing clear engineering metrics (deployment frequency, MTTR, lead time, reliability SLAs) and using them to drive accountability and improvement., • Create a culture of engineering excellence: code review rigour, documentation standards, testing philosophy, incident response maturity, and continuous learning., • Serve as the senior escalation point for major technical incidents — leading post-mortems, driving systemic remediation, and communicating clearly to the CTPO and wider leadership. Cross-Functional Collaboration: • Work in close partnership with the CTPO to operationalise the technology roadmap — owning engineering execution against strategic priorities and ensuring delivery keeps pace with product ambition., • Build trusted relationships with product, R&D, sales, and customer success leaders — ensuring technology is a competitive enabler and that engineering priorities are well understood across the business., • Communicate effectively with senior leaders to align on strategic priorities, resource needs, and long-term technology investments., • Build strong relationships with key stakeholders to deepen understanding of Talogy’s business, product visions, and customer needs. Execution & Delivery Excellence: • Oversee and continuously improve Talogy’s software delivery engine — including CI/CD pipelines, release management, deployment practices, observability, and incident management., • Champion Agile and DevSecOps practices across teams, ensuring engineering processes are lean, high-trust, and calibrated to the pace of the business., • Drive measurable improvement across DORA metrics and reliability targets; hold teams accountable to uptime SLAs and clear SLO definitions for all customer-facing products., • Identify and systematically eliminate engineering bottlenecks — from dependency bloat and test coverage gaps to deployment friction and inefficient on-call rotations., • Ensure development and deployment practices follow established standards and support reliable, secure, and scalable product delivery. Strategic Planning & Governance: • Co-develop the annual engineering budget and multi-year technology investment plan with the CTPO — translating engineering needs into financial terms that resonate with senior leadership., • Contribute to M&A technical due diligence: evaluate engineering organisations, technical debt, and platform compatibility as Talogy continues to grow through acquisition., • Create alignment between Talogy’s product vision, engineering strategy, and R&D initiatives., • Share ideas and foster knowledge exchange across development teams, creating opportunities for collaboration and innovation. Technical Expertise — Non-Negotiable: • 15+ years of software engineering experience, with at least 5 years in senior engineering leadership (Director, VP, or equivalent) at a B2B SaaS or enterprise software company., • Deep, hands-on background in backend systems, distributed architectures, and cloud-native platforms — able to credibly review design documents, challenge engineers on technical choices, and identify architectural risk., • Demonstrated proficiency in modern programming languages and frameworks (e.g., Python, Java, C#, Node.js, Go) — not expected to write production code daily, but must be technically fluent enough to evaluate quality, complexity, and risk., • Strong command of cloud infrastructure (AWS, Azure, or GCP) — including compute, storage, networking, identity, observability tooling, and cost management., • Proven experience owning CI/CD, DevSecOps, and modern delivery practices at scale — including IaC, containerisation (Docker/Kubernetes), blue-green or canary deployments, and automated quality gates., • Hands-on experience with data architecture, APIs, and integration patterns — particularly relevant given Talogy’s multi-platform, acquisition-heavy environment., • Direct experience with security engineering: application security frameworks (OWASP), secrets management, penetration testing programmes, and compliance regimes (SOC 2, GDPR, ISO 27001). Leadership & Organisational Experience: • Significant experience in a senior engineering leadership role within an enterprise-scale cloud environment., • Demonstrated success building and scaling engineering organisations across multiple geographies and time zones, including managing offshore development teams and third-party engineering partners., • Experience leading engineering through significant organisational complexity — M&A integration, platform consolidation, or rapid headcount scaling., • Track record of attracting and retaining exceptional senior engineering talent; strong communication skills, with the ability to translate complex technical concepts for senior leadership and cross-functional stakeholders. AI & Emerging Technology Experience: • Practical, hands-on experience with AI/ML integration in production software products — including LLM APIs, vector databases, retrieval-augmented generation, or ML model pipelines., • Familiarity with integrating AI or machine-learning capabilities into software products, including an understanding of responsible AI principles, data considerations, and ethical implications., • Ability to cut through AI hype: evaluate vendor claims critically, identify where AI creates genuine value, and make pragmatic adoption decisions. Operational Excellence & Strategic Execution: • Demonstrated ability to use metrics and data to drive decision-making, operational improvements, and measurable outcomes., • Experience creating and executing comprehensive action plans that support organisational growth, technical maturity, and delivery excellence., • Background in B2B SaaS companies serving enterprise clients, particularly those with complex compliance, data residency, or security requirements., • Prior involvement in technical due diligence or post-merger engineering integration in a PE-backed, acquisitive environment is a strong differentiator.

ABOUT US ___, part of Capgemini, tackles the hardest work in data for the world’s largest organizations. We combine intelligent software with deep data expertise to help the Fortune2000 tackle complex data challenges and drive measurable business outcomes with business-ready data. Syniti’s Data First strategy transforms data from an afterthought into a strategic asset—unlocking insights, reducing risk, and fueling growth. With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and strategy. Operating globally across industries, Syniti’s award-winning software, expert consultants give enterprises a unique edge in managing and maximizing their data. Syniti’s cloud-native platform sets new standards in enterprise data management, combining powerful SaaS solutions with deep domain expertise. Designed for agility and scale, our technology helps customers accelerate digital transformation, drive innovation, and make confident decisions with trusted data. Every product enhancement is built to solve real business challenges—empowering organizations to unlock value from their data faster and more effectively. THE ROLE The Principal SRE – Azure Specialist will drive the design and implementation of automation, observability, and operational excellence within Syniti’s Microsoft Azure-hosted runtime environments. This role will focus on architecting and deploying globally scalable, regionally compliant (Cyber Essentials+, SecNumCloud), zero trust architectures. This engineer will lead the technical project to port Syniti’s SaaS architecture and services from AWS to Azure, ensuring platform consistency, operational parity, and regulatory alignment. They will serve as a cross-functional technical leader, developing resilient IaC frameworks, secure deployment models, and integrating Azure-native services with Kubernetes (AKS) and Syniti’s platform stack. WHAT YOU WILL DO • Design and maintain Azure-hosted environments supporting the Syniti SaaS platform across multiple global regions., • Build reusable IaC modules in Terraform for network, compute, and managed PaaS services., • Integrate Azure-native logging, security, and cost optimization with observability pipelines., • Lead incident resolution and proactive failure domain analysis within Azure-hosted regions., • Develop secure service-to-service communication standards leveraging Azure AD workload identity and pod identities., • Collaborate with Compliance and Security to meet UK, EU, and French regional regulatory requirements., • Drive self-healing systems using automation to reduce toil and human intervention., • Support cloud region expansion and infrastructure builds via GitOps and pipeline automation. WHAT IT TAKES • Self-starter with deep understanding of hybrid cloud patterns and Azure ecosystems., • Ability to thrive in a high-stakes, distributed operations environment with mission-critical SaaS systems., • Strong communication and cross-regional collaboration capabilities., • Deep technical expertise across Azure infrastructure and platform services., • Comfort working with engineers across DevOps, Security, and Product teams to deliver shared outcomes., • 15+ years of experience in infrastructure, cloud, or SRE roles., • 5+ years designing or operating in Azure environments including AKS, Storage, VNets, Private Link, Azure Monitor., • 3+ years proficiency with GitOps and declarative infrastructure patterns using tools like Terraform, Bicep, or Pulumi., • 3+ years implementing or maintaining CI/CD pipelines., • 2+ years of Software Development experience, • Advanced scripting skills in Bash, Python, or Go., • Strong understanding of managed identity, Azure AD, and Kubernetes identity integrations., • Think Big - Be courageous and bold. Aspire to greatness. Relentlessly pursue market innovation. Set the standard by which others follow. Create solutions that have a meaningful impact. Solve the challenges our customers don’t know they have., • Be Curious - Be a lifelong learner. Seek out new ideas to serve customers. Understand our competition and the world. Be permanently dissatisfied with the status quo. Challenge preconceptions. Focus on the future rather than yesterday., • Take Action - Be the first. Don’t wait. Take accountability. Inspire others by doing. Fail fast and learn from mistakes. Make a difference every day., • Stronger Together - Respect, trust and look out for each other. Celebrate diverse perspectives. Listen. Build connections and belonging. Act with integrity. Give back. One Syniti family. WHAT WE OFFER • Trust that you are proficient at what you do. At Syniti, you will find a supportive environment and access to learning tools, but micromanagement is not our thing., • Growth. We are growing rapidly and steadily solving the biggest challenges enterprise companies are faced with today. There was never a better time to join and grow with us. Most importantly, you will have the chance to shape our journey and share in our success story., • Support. We all rely on each other and enable each other to be successful. You won’t stand alone., • Curiosity and genuine interest in you. We all have our different stories, all equally fascinating, with each depicting a different journey, and we want to hear them all., • Recognition. We are the sum of individual achievements, and we always take the time to celebrate them., • An open organisation. Hierarchies are not our thing, and access is something we make sure of across the board. We are a family where everyone is just as important, everyone’s work is seen, and ideas are valued. OUR COMMITMENT TO INCLUSION At Syniti, we’re committed to creating a respectful, inclusive, and fair workplace where everyone belongs and thrives. We believe that diverse perspectives make us stronger — and we value the unique backgrounds, experiences, and voices each person brings to our team. We welcome applicants based on their skills and potential, and we’re dedicated to ensuring equal opportunities for all, regardless of personal background. If you need accommodations during the hiring process, please let us know — we’re here to support you.

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a fast-growing SaaS analytics company delivering real-time and historical insights for cloud-based communication platforms, including Microsoft Teams, Cisco BroadWorks, and Webex Calling. Our analytics help businesses enhance customer experience, optimize productivity, and drive performance across voice and collaboration channels. Job Summary We are seeking a Senior Platform Engineer with a deep understanding of AWS cloud infrastructure, Infrastructure-as-Code (IaC) tooling such as Terraform, and configuration management using Ansible. The ideal candidate will be a self-starter, passionate about Site Reliability Engineering (SRE) principles, and thrive in collaborative environments. You will play a pivotal role in automating infrastructure, improving reliability and scalability, and ensuring smooth CI/CD pipelines across multiple environments. You'll work closely with software engineering, and security teams to drive platform excellence. Key Responsibilities • Design, build, and manage scalable, secure, and resilient infrastructure on AWS using Terraform (modularized, reusable components)., • Implement configuration management solutions using Ansible, including playbook development, inventory structuring, and role-based automation., • Manage secrets securely using services such as AWS Secrets Manager or HashiCorp Vault., • Implement robust monitoring, alerting, and observability tooling (e.g., CloudWatch, Prometheus, Grafana, Datadog)., • Participate in incident response, root cause analysis, and resilience improvements., • Maintain and evolve CI/CD pipelines using tools such as GitHub Actions, Bitbucket Pipelines, or Jenkins., • Automate deployments for container-based workloads on ECS (Fargate), or Lambda, and manage supporting infrastructure., • Collaborate with development teams to optimize build/deploy cycles and reduce lead time for changes., • Ensure security best practices are embedded into infrastructure provisioning and pipeline execution., • Support compliance and auditing by implementing guardrails and controls as code (e.g., AWS Config, SCPs, IAM policy management)., • Some OOH work is required to maintain the production systems and also will be part of OOH critical ticket rota. Required Skills & Experience • 5+ years in DevOps, SRE, or Cloud Engineering roles., • Expertise in AWS core services: EC2, IAM, VPC, ECS/Fargate, CloudFormation, CloudWatch, RDS, DynamoDB, S3, Lambda., • Strong proficiency in Terraform (HCL) – including workspaces, modules, and Terraform Cloud or similar., • Ansible experience – developing roles, dynamic inventories, managing remote configurations., • Strong scripting knowledge (Bash, Python, or Go)., • Experience with container orchestration and deployment (Docker, ECS, or Kubernetes)., • Proficient with GitOps or IaC-based workflows., • Familiarity with Google SRE practices, particularly around reliability, observability, and operational excellence., • Understanding of systems reliability metrics and associated tooling Soft Skills & Behaviours • Self-driven with a bias toward action and ownership., • Excellent communicator, able to collaborate across disciplines and levels of technical understanding., • Experience working as part of a cross-functional team., • Comfortable working in agile environments (Scrum/Kanban).

Do you want to build AI systems that power real financial intelligence used by hedge funds? Have you deployed LLM or RAG systems into production rather than just prototypes? Are you ready to design agentic AI systems end-to-end in a small, high-ownership engineering team? A London-based alternative data company is hiring an AI Engineer to help build production AI systems used internally and eventually within client-facing products. The company develops machine learning models that estimate company performance before earnings announcements by analysing alternative datasets such as transaction data, digital signals, and web activity. Their platform tracks hundreds of public companies and sells predictive KPI insights to hedge funds and institutional investors. The team is small and highly technical, offering engineers significant ownership across architecture, tooling, and product development. This role will focus on designing and deploying end-to-end LLM systems, initially building internal AI tools and automation systems before expanding into client-facing AI products. Key Responsibilities • Design and deploy RAG pipelines for knowledge retrieval and reasoning, • Build agentic AI workflows using frameworks such as LangChain or similar, • Develop LLM microservices using Python frameworks such as FastAPI or Flask, • Build internal AI tools including chatbots, automation systems, and workflow assistants, • Deploy AI services on AWS infrastructure and manage reliability and monitoring, • Work with vector databases and orchestration frameworks for LLM systems Key Details • Comp: £60,000–£95,000, ~15% bonus, equity, • Working model: Fully remote (UK) with occasional team gatherings, • Tech stack: Python, LangChain, RAG systems, AWS, vector databases, • Visa sponsorship: This role cannot sponsor Interested? Please apply below.

We are seeking a highly skilled and innovative Agentic AI Engineer to join our team and drive the development and deployment of cutting-edge generative AI solutions within the Microsoft ecosystem. This position is well-suited for candidates with a background in software engineering, data science, or machine learning who excel at developing production-grade AI applications utilizing Microsoft platforms such as M365, Copilot Studio, and Azure AI Foundry, and have at least one year of relevant experience. Strong software development background with proficiency in Python. • Experience with API development using FastAPI, Flask, or Django., • Knowledge of Docker and containerized deployments., • Hands-on experience with LLM models such as OpenAI GPTs, Claude, Gemini, LLaMA, or Mistral., • Expertise in applying prompt engineering techniques to improve model performance and reliability., • Experience in implementing robust evaluation frameworks and Responsible AI (RAI) practices., • Familiarity with Microsoft GenAI/Agentic AI ecosystem such as M365, Copilot Studio and Azure AI Foundry., • Strong understanding of software engineering principles and best practices., • Ability to work in agile environments and collaborate with cross-functional teams. You'll stand out if you also meet any of the following: • You are good at prototyping and experimenting with emerging technologies to assess feasibility and impact., • You have knowledge of vector databases, RAG architectures and their integration into enterprise systems, • You have experience with GenAI development frameworks or orchestration tools such as Semantic Kernel, AutoGen, LangGraph, LangChain, or PromptFlow., • You are familiar with core agent communication protocols, including MCP or A2A., • You are a person who loves to stay current with the latest advancements in GenAI, LLMs, and AI frameworks., • You are Microsoft Certified in Azure AI Engineer Associate or Azure AI Fundamentals. 🛠️ Qualifications • Bachelor's in computer science, data science, or a related field About Avanade: Avanade is the leading provider of innovative digital, cloud, and advisory services, industry solutions, and design-led experiences across the Microsoft ecosystem. The company was founded 25 years ago as a joint venture between Accenture and Microsoft. Back then, digital transformation, automation, and AI weren’t mainstream topics—Microsoft was primarily known for Office 365. But Avanade evolved with the times and is now the number one transformation leader within the Microsoft ecosystem. We have a team of 61,000 professionals in 26 countries. We’re a truly global company with a strong local presence— what I like to call “GLOCAL”: making global impacts on a local level.

Plessey has a long history of innovation. Founded in 1956, we have evolved from one of Europe’s earliest semiconductor pioneers into the world’s most advanced microLED specialist. Over the decades, Plessey has built a first class, fully integrated platform designing, manufacturing, and engineering next-generation display technologies entirely in-house. This end-to-end capability, combined with our strong IP portfolio, uniquely positions us to lead the scaling of MicroLED’s from lab innovation to high-volume production. Our future is even brighter. We believe MicroLED’s will define the next era of technology—powering ultra-efficient AR/VR displays, driving optical processors that make AI faster and more sustainable, and enabling devices yet to be imagined. With our unique expertise and talented team, we are positioned to lead this transformation. It’s an exciting time to join us: Plessey has recently been acquired by Haylo Labs, accelerating our growth and opening new opportunities. Our Values • Lead, • Grow, • Trust Location Located at our head office and state-of-the-art fabrication facility in Plymouth. About the Role We are looking for a Senior Software Engineer to support the development of automated reliability and characterisation test systems for MicroLED devices. The role combines test software development, instrument control, and data analysis, supporting both the execution of reliability campaigns and the analysis of device performance and degradation. The engineer will work closely with hardware engineers and test engineers to develop software tools that control laboratory equipment, automate test procedures, and analyse large datasets generated during device testing. Key Responsibilities • Develop and maintain automated test software for reliability and characterisation systems., • Interface with laboratory instruments and test hardware using LabVIEW, C++, and Python., • Support the execution of device reliability campaigns and engineering experiments., • Develop tools for data collection, processing, and analysis., • Work with engineering teams to interpret results and identify device behaviour trends., • Contribute to improving the automation and robustness of internal test platforms. Skills, Knowledge and Expertise • Master’s degree in Physics, Electronic Engineering, or a related discipline., • Proficiency in LabVIEW and C++., • Working knowledge of Python for data processing and analysis., • Hands-on experience with communication protocols such as SPI and I²C., • Experience working with laboratory bench instruments such as power supply units (PSUs), oscilloscopes, pattern generators and multimeters., • Strong analytical mindset with attention to detail., • Ability to work independently with minimal supervision. Advantage • Experience with NI TestStand for automated test environments., • Background or practical experience in semiconductor device testing., • Experience analysing large datasets and developing mathematical models for device behaviour and degradation., • Familiarity with reliability testing methodologies (e.g., lifetime or stress testing).

Senior Python Software Engineer Permanent | UK Remote + Travel We’re hiring a Senior Python Software Engineer to join a globally distributed engineering team working on cutting-edge AI-driven digital solutions for major enterprise organisations. This is a permanent, full-time position for UK-based candidates. While the role is primarily remote, it involves regular travel to client sites across the UK and Europe, with all travel expenses covered. About the Company They are a globally distributed team of engineers, data specialists, and designers focused on building modern digital platforms and intelligent software solutions for enterprise clients. Their teams partner with organisations to modernise legacy systems, develop innovative digital products, and implement AI-powered technologies that deliver real business impact. We pride ourselves on combining deep technical expertise with a collaborative, people-first approach to engineering. With a presence across multiple countries, our engineers work closely with clients to solve complex technical challenges and deliver scalable, high-performance applications used by millions of users worldwide. The Role • As a Senior Python Engineer, you will play a key role in designing and building scalable applications, often incorporating modern AI frameworks and data-driven technologies, • You’ll work alongside experienced engineers, architects, and client stakeholders to deliver robust solutions in fast-moving project environments, • This role suits someone who enjoys technical ownership, solving complex problems, and collaborating closely with both internal teams and client organisations Key Responsibilities • Design, develop, and maintain Python-based applications, • Contribute to technical design, architecture, and engineering best practices, • Build scalable data storage and processing solutions, • Optimise application performance for speed, scalability, and reliability, • Translate complex business requirements into technical solutions, • Collaborate with engineers, technical leads, and client teams, • Contribute to source control, build, and deployment standards, • Gather feedback from stakeholders and continuously improve solutions, • Support project delivery alongside technical leadership What We’re Looking For • 8+ years of commercial software engineering experience, • Strong expertise in Python and modern AI frameworks, • Experience building AI-powered applications or working with agent-based frameworks (e.g., LangGraph, Agentspace, or similar), • Strong understanding of Git and version control workflows, • Experience with unit, integration, and end-to-end testing, • Hands-on experience with cloud platforms and database technologies, • Familiarity with CI/CD pipelines and automation practices Nice to Have • Experience with Golang, • Frontend experience with React, • Knowledge or hands-on experience with Kubernetes Please note: visa sponsorship is not available for this role. If this role sounds of interest please apply asap with your most recent CV.

Cloud Platform Engineer Location: London (Hybrid) Salary: £65,000 – £75,000 20% Employer Pension Contribution I’m working with a well known public sector organisation to hire a Cloud Platform Engineer to play a key role in building and maintaining their Azure cloud infrastructure. This position will focus on infrastructure as code, automation, and platform reliability, working closely with development and DevOps teams to deliver scalable, secure, and high-performing cloud environments. What you’ll be doing: • Designing and managing Azure cloud infrastructure using IaC (Terraform), • Building and maintaining CI/CD pipelines for infrastructure and applications, • Monitoring systems, troubleshooting issues, and improving reliability, • Implementing security, compliance, and governance best practices, • Supporting incident management and root cause analysis, • Collaborating with engineering teams to embed DevOps practices The Cloud Platform Engineer will have: • Strong experience with Azure cloud services, • Proven experience with Infrastructure as Code (Terraform), • Experience with CI/CD tools (Azure DevOps, GitHub Actions, etc.), • Scripting skills (PowerShell, Bash, or Python), • Knowledge of containers (Docker, Kubernetes), • Understanding of cloud security, networking, and monitoring tools

Data Engineer Remote UK Salary: £45,000 - £55,000 This is an exciting opportunity to step into a high-impact Data Engineering role within a fast-scaling data and machine learning environment. You will sit at the core of the engineering function, working closely with a large data science group and shaping the foundations of their internal tooling and pipelines. The Company They are a rapidly growing data and analytics organisation operating in the alternative data and machine learning space. Their platform powers KPI prediction models used by investment-focused clients, and they have built a strong engineering culture to support a substantial data science function. With significant recent investment and continued growth, they are now expanding their ETL and automation capabilities to strengthen internal workflows and infrastructure. The Role You will focus on building, maintaining, and optimising internal ETL pipelines and workflow automations that support data scientists and enable reliable, scalable reporting. Key responsibilities include: • Designing and maintaining custom ETL pipelines in a cloud-native environment., • Automating internal processes and integrations across tools and APIs., • Supporting workflow orchestration using technologies such as Airflow or AWS Step Functions., • Containerising and deploying services using Docker., • Collaborating with data scientists to streamline their data workflows., • Contributing to improvements across orchestration, tooling, and internal engineering processes. Your Skills and Experience • Strong commercial experience with Python and common data libraries., • Proven ability to build and maintain ETL pipelines., • Hands-on experience with AWS services., • Experience with Docker and containerised workflows., • Familiarity with workflow orchestration tools., • Comfortable integrating with APIs and external tooling., • A practical, delivery-focused approach with the ability to own tasks end to end. How to Apply If this sounds like your next step, please send your CV to register your interest.

Lead Data Platform Engineer UK Remote Salary: £80,000 - £85,000 This is an opportunity to step into a highly influential Data Platform Engineering role where you will shape, optimise and own a modern Databricks Lakehouse environment. You will play a key role in driving engineering best practice, improving automation and enabling scalable data solutions across a growing data function. The Company They are a large, well‑established organisation known for combining deep technical expertise with a people‑first culture. With a nationwide presence and a modern approach to flexible working, they invest heavily in technology, innovation and colleague development. Their data function is expanding and plays a central role in supporting transformation, decision‑making and future AI initiatives. You will join a collaborative team that values engineering excellence, autonomy and continuous improvement. The Role As Lead Data Platform Engineer, you will: • Develop and deploy Databricks Lakehouse platform solutions within Azure., • Build and maintain automation for clusters, tagging, monitoring and platform operations., • Architect and design end‑to‑end data platform solutions focused on scalability, security and reliability., • Lead delivery using Databricks, PySpark, Spark SQL and Azure Data Factory., • Drive DevOps best practices including CI/CD, automated testing and infrastructure as code., • Collaborate closely with data engineers, ML engineers and wider technical teams to deliver robust platform capabilities., • Take ownership of key data platform projects and influence engineering direction., • Provide technical leadership and ensure standards, patterns and best practices are followed. Your Skills and Experience You will bring: • Strong commercial experience in Azure and Databricks, with deep knowledge of Lakehouse architecture., • Proficiency in PySpark, Python, SQL and Spark SQL., • Strong DevOps engineering skills including CI/CD, automated testing and deployment pipelines., • Experience with monitoring, logging and alerting solutions., • Ability to design, build and optimise cloud platform solutions., • Stakeholder management skills and confidence working across multiple teams., • API development experience., • Azure Data Factory knowledge is beneficial. What They Offer • Salary between £80,000 and £85,000 plus bonus., • Comprehensive benefits package and annual pay review., • Flexible by choice working environment with remote‑first culture., • 35‑hour working week promoting genuine work‑life balance., • Opportunities to shape platform strategy and contribute to future AI and automation initiatives. How to Apply If you are a strong Data Platform Engineer with deep Databricks expertise and want to take ownership of a modern Azure Lakehouse environment, please apply today.

Key Responsibilities: • Lead the design and delivery of end-to-end AI/ML solutions aligned to organisational strategy and operational objectives., • Define scalable, secure, and maintainable AI architectures, covering data pipelines, model lifecycle management, deployment, and monitoring., • Establish architectural standards, design patterns, and engineering best practices., • Provide technical oversight across the full AI lifecycle: concept, prototyping, production deployment, and optimisation., • Review and approve solution designs produced by AI Solution Engineers and wider delivery teams., • Lead, mentor, and develop AI Solution Engineer(s) and associated technical staff., • Set technical direction and ensure consistency in engineering standards across AI initiatives., • Conduct code and design reviews to ensure quality, security, and maintainability., • Identify capability gaps and drive upskilling across the AI team., • Foster a collaborative, high-performance engineering culture., • Own technical delivery of AI solutions, ensuring alignment with scope, timelines, and quality expectations., • Oversee deployment of AI systems into secure or controlled environments., • Ensure compatibility of AI solutions with DevSecOps pipelines and enterprise technology stacks., • Define and monitor performance metrics for deployed models, ensuring operational effectiveness and reliability., • Lead remediation and optimisation efforts when performance, compliance, or operational risks arise., • Embed ethical AI principles, including fairness, explainability, auditability, and transparency, into solution design., • Ensure compliance with data governance, security, and regulatory requirements., • Support accreditation and assurance activities within regulated or defence environments., • Identify, assess, and mitigate technical risks associated with AI deployment., • Translate operational or business requirements into AI-enabled solution approaches., • Engage senior stakeholders, providing clear technical briefings and strategic recommendations., • Contribute to AI capability roadmaps and innovation strategies., • Lead technical input into bids, proposals, or programme planning activities where required., • Conduct horizon scanning to evaluate emerging AI technologies and assess relevance to operational use cases., • Drive continuous improvement of AI engineering practices, tooling, and delivery methods., • Champion adoption of MLOps practices to enhance repeatability, traceability, and scalability. The successful candidate will be a technically astute AI Solution Lead who thrives on engineering execution to realise enterprise goals.You will be responsible for designing and sustaining AI/ML solutions that align with the Army Collective Training Service (ACTS) architectural vision. The AI Solution Lead must possess a deep understanding of AI technologies, with the ability to leverage data insights for model development and optimisation using frameworks such as TensorFlow and PyTorch, while also driving intelligent process automation across the machine learning lifecycle through platforms like Azure Machine Learning. This role is pivotal in aligning AI technology with architecture vision and goals, ensuring secure, interoperable systems to drive and automate data driven decision making. Essential Skills and Experience: • Extensive experience in leading technical teams designing and delivering end-to-end AI/ML solutions from concept to production within regulated or controlled environments., • Strong Python expertise and deep knowledge of ML frameworks, • Experience defining scalable ML architectures, including lifecycle management, monitoring, and resilience strategies, • Experience overseeing deployment using containerisation and orchestration platforms and governing CI/CD and MLOps practices, • Strong understanding of API-led integration within enterprise systems, • Experience embedding responsible AI principles into architectural design, • Strong understanding of secure coding, data protection, and governance frameworks, and experience supporting accreditation or assurance processes, • Accountability for technical risk identification and mitigation, • Experience translating operational requirements into AI-enabled capabilities, • Ability to engage and influence senior stakeholders, • Experience defining AI roadmaps and technical strategy, • Strong decision-making capability balancing innovation, risk, and operational constraints, • Proven experience leading, mentoring, and developing AI/ML engineers, • Strong systems-level analytical thinking, • Ability to operate autonomously with accountability for outcomes, • Degree in relevant discipline or equivalent senior-level experience JBRP1_UKTJ

Senior Site Reliability Engineer (SRE) UK Remote Permanent | Up to £120,000 | Fully Remote (UK Only) This Is NOT a DevOps Role Real SRE Work Only Were looking for a true Senior Site Reliability Engineer with deep incident management experience, strong operational ownership, and expert Linux/AWS troubleshooting skills. Find out more about the daily tasks, overall responsibilities, and required experience for this opportunity by scrolling down now. This role is focused entirely on reliability, availability, incident response, and systems engineering not building CI/CD pipelines or acting as DevOps by another name. Leadership Requirement Small Team Technical Lead You must have experience leading a small engineering team (25 people), defining technical direction, improving on-call processes, and owning reliability strategy. This is a hands-on role with real SRE leadership not people management. About the Role As a Senior SRE, you will own the reliability, resilience, and operational health of large-scale AWS/Linux systems. Youll join an engineering organisation where SRE principles are fully embedded, respected, and treated as a distinct discipline. Key Responsibilities Lead major incidents, mitigation, RCA, and preventative improvements Own and refine SLIs, SLOs, and error budgets Reduce operational toil through automation Deep-dive Linux debugging, performance tuning, and systems analysis Strengthen observability, monitoring, and alerting Provide technical leadership to a small SRE/engineering group Improve and manage on-call processes (PagerDuty, OpsGenie, etc.) Collaborate with development teams to build reliability into system design What Youll Bring Strong AWS experience (EC2, networking, xrnqpay autoscaling, IAM, load balancing) Deep Linux troubleshooting skills (performance, networking, debugging) Real 24/7 production on-call experience Hands-on incident management and postmortems Experience mentoring or leading a small technical team Scripting/automation with Python, Go, or Bash Strong observability skills (Datadog, Prometheus, Grafana, CloudWatch) Why This Role Appeals to Real SREs Youll be solving actual SRE problems: reliability, incidents, resilience, uptime Youll guide a small team through complex engineering challenges

CV Technical Pricing Manager Location: Primarily remote with occasional travel. Offices located in Haywards Heath, London and Manchester. Role Overview We are seeking an experienced Risk Pricing Manager to join a quickly growing and developing pricing department focusing on Motor and in particular Commercial Vehicle. As a Pricing Manager in the Motor Risk Pricing team, you will be responsible for the pricing of Commercial Vehicles, including the following core activities: • Be a key stakeholder influencing the direction & outcome of projects, • Advance the adoption of data science & statistical techniques, • Develop reporting structures to monitor pricing performance in an automated fashion Key Responsibilities • Maintain and improve the pricing process to meet business requirements., • Develop and maintain risk models, leveraging both traditional and machine learning techniques., • Support delivery of the pricing & underwriting business plan across Motor., • Work with the Data Science and Machine Learning teams to define and automate data ingestion, modelling, analysis, model monitoring and reporting., • Advance the adoption of the latest data science & statistical techniques across pricing & underwriting., • Research and leverage new and existing data sources; capturing and explaining trends with innovative data features., • Clearly communicate results and proposed actions to key decision makers across the business., • Champion and facilitate automation of reporting, data pipelines and quality assurance., • Manage, coach and mentor team members, driving a culture of development and excellence across the team., • Experience managing general insurance products and/or pricing teams, including knowledge of current trends and issues in motor or home pricing., • Experience with some of the following predictive modelling techniques; GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering, with knowledge of the technical differences between different packages for some of these model types would be an advantage., • Experience in statistical and data science programming languages (e.g. Python, PySpark, R, SAS, SQL), • Experience of WTW's Radar software is preferred., • Proficient at communicating results in a concise manner both verbally and written., • Good communication and people management skills, • Driven to deliver iterative improvements in a timely fashion, • Self-motivated with a drive to learn and develop, • Logical thinker with a professional and positive attitude, • Passion to innovate, improve processes and challenge the norm JBRP1_UKTJ

Company description WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiencesfrom AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, youll discover the real differentiator is our culture. We push the limits of innovation to solve the worlds most important challengesstriving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career Job description ABOUT THE TEAM: The Networking Technology and Solution IP Group at AMD is adding to the Data Centre design team in Belfast. We focus on design and verification of ASIC blocks for next generation data center networking, focusing on the needs of AI clusters for training and inference; covering the entire design cycle across: architecture, algorithm design and modelling, block specification, RTL design, test planning, verification and end-to-end validation. We get the pleasure of seeing the results of our work in real products. We are a team who actively look for variety and complicated problems in our daily work. We encourage each other to work, over time, on all aspects of our development and to have a big picture view of our designs to better guide our block level development. Becoming a part of our local team at this stage is a hugely exciting opportunity and will enable you to play a key role in solidifying our culture and values as we grow. ABOUT YOU: For this highly visible role, the ideal candidate will be able to demonstrate success in a comparable technical role on a product team innovating and redefining high-performance computing and networking applications. Should be comfortable working in a cross-team environment and show creativity and self-motivation in their career. You are keen to make a real word difference in networking. You want to achieve the best image quality and customer experience, whilst minimising bandwidth, power and chip area. You are excited by the challenges these goals create. You are intelligent, curious, and want to get stuck into very difficult concepts. You are comfortable making technical decisions that have a significant impact on product families, go to market strategies and customer satisfaction and providing consultative direction with senior management to influence future business and technical direction. ABOUT THE ROLE: • Define and Develop block and system-level test benches and verification environments, • Develop support utilities for verification automation, test bench automation, regression and other verification enhancements to improve productivity and functional coverage, • Mentor verification team and provide technical support for verification activities, • Develop verification test plans, test suites and support verification activities, • Contribute to verification infrastructure development for complex ASICs, • Contribute to the post-silicon validation of ASICs in the lab, writing tests and scripts Required profile Qualifications • Experience in Verilog/SystemVerilog (essential), • UVM (Universal Verification Methodology) is a must-have, experience with Formal Verification would be an advantage, • Experience in C/C++, Python, Perl, TCL for scripting and testbench development, • Experience in designing complex digital hardware systems and developing hardware architectures for algorithm implementation would be a plus, • Proficiency using ASIC and/or FPGA simulation and synthesis tools, • Familiarity with best practice chip-level verification techniques and languages, • Experience with Cache Coherency verification would be an advantage, • Experience of leveraging AI tools would be an advantage, • Familiarity with AMD products (including CPU & GPU) would be an advantage What we offer JBRP1_UKTJ

We are looking for a skilled and experienced Analytics Engineer to join a rapidly growing organisation. Use Python or similar scripting languages to support analytics, automation, and data manipulation tasks. Excellent experience with Python.

Storage Automation SME +Hybrid in Sheffield +6 months+ +£540 a day Inside IR35 We are seeking a Storage Automation Subject Matter Expert (SME) to engineer, automate, and operate enterprise SAN and storage platforms. The role focuses on modern automation, DevOps integration, and delivering storage and infrastructure "as-a-Service" across on-prem and cloud environments. Key Responsibilities Certify, test, and develop enterprise SAN platforms including Dell PowerMax / VMAX-3 / XtremIO, Pure Storage FlashArray, Hewlett-Packard Enterprise Primera / Alletra, and Cirrus Data Solutions DMS. Automate storage install, provisioning, migration, compliance, and operational support using Python, Ansible, and scripting. Work with Broadcom and Cisco SAN switches and iSCSI connectivity. Deliver enterprise platform services across Linux, Windows, VMware, storage, and virtualisation. Build and integrate automation into CI/CD pipelines and Infrastructure-as-Code frameworks. Support cloud-based platform delivery and collaborate with DevOps and business teams. Contribute to technology strategy, service quality, risk, and cost management. Skills & Experience Strong experience with Linux (RHEL), Windows, and VMware. Expert knowledge of enterprise storage platforms and SAN architectures. Proven background in storage automation, remediation, and migration. Experience with Infrastructure-as-Code, CI/CD, and De...

Job Title: Senior Discovery and Configuration Manager Below, you will find a complete breakdown of everything required of potential candidates, as well as how to apply Good luck. Location: Reading- 3 Days a week Job Type: 12 Months Fixed Term Role purpose • The Configuration Management team are responsible for ensuring that the data in the CLIENT Configuration Management Databases (CMDB) acts as a single source of truth for all CLIENT configuration data because it is maintained, modelled and governed., • The role is responsible for developing the strategy for Discovery and Configuration Management along with the end-to-end Configuration Management Process at both high and low levels where appropriate. The role also provides subject matter expertise to support project teams, architects and designers as well as maintaining and advising on definition/dictionaries of data held within the CMDB., • The Discovery and Configuration Manager is responsible for the day-to-day operations of the Discovery and Configuration Management team, ensuring processes are being correctly followed, that data quality is being measured and maintained/improved., • The role is responsible for supporting the delivery of projects and programs, ensuring the seamless transition of deliveries into the CLIENT Configuration Management estate in a controlled manner, that aligns with our configuration management principles for service data modelling and data quality whilst protecting existing services and assisting the business to understand demarcation of our configuration management processes., • The Discovery and Configuration Manager is the Business Owner of the Discovery application and is responsible for the support, maintenance, and development of the application., • Management, coaching and development of the Discovery and Configuration team is also a part of this role, along with being an advocate of configuration management, data quality and automation., • The Discovery and Configuration Manager is responsible for leading the delivery of our Audit commitments (both internal and external) ensuring that our reporting obligations are delivered and completing any existing or new observations required to resolve/maintain compliance., • Define Configuration Management principles, policy, processes, and best practices across CLIENT., • As the Business Owner of the Discovery Application ensure there is a Roadmap and development plan in place that allows CLIENT to fully exploit the benefits that the tool can offer., • Engage with Solution Design, development, and architecture teams to influence the overall strategy for forthcoming technology & application changes and improve use of Discovery and the CMDB data structure., • Ensure that documentation exists and is regularly reviewed and validated for data architecture/data models, definitions of the configuration data and agreed data quality rules., • Ensure process documentation including high level process, procedures and work instructions are regularly reviewed and updated if necessary. Review and assess whether these are actual configuration management deliverables and escalate any concerns., • Ensure that Discovery design documentation (for example how TPL code have been designed applied, how precedence rules are being applied etc) is kept up to date and is regularly reviewed and validated., • Be the Discovery and Configuration Management lead on large projects, ensuring all configuration management requirements are in scope and that any data modelling/definition and architecture diagrams are produced/updated and that our data builds (CI's, application models, service to application mapping) are all delivered into our Configuration Management System to our defined standards and that any deployment of Discovery/TPL codes etc are delivered., • Support the production of project impact assessments and the delivery of smaller projects ensuring that new Configuration Items (CIs), and service to application mapping and application modelling are reflected in the CMDB's and that any deployment of Discovery/TPL codes etc are delivered., • Responsible for the day-to-day maintenance and updating of the Configuration Management Systems. Ensuring that new Configuration Items (CIs) and their relationships to one another are identified and controlled/updated throughout their lifecycle. Ensure there are processes in place to process error logs/data exceptions/analyse reports for data changes/anomalies etc. Ensure the performance of processes can be monitored and measured., • Responsible for day-to-day maintenance of BMC Discovery. Tasks include design, build, deployment & configuration of new discovery infrastructure as well as managing Discovery support & data feed issues, including TPL errors and owning resolution end to end, working closely with Vendors and Suppliers alike., • Responsible for the resolution of Incidents raised against Configuration and Discovery tools, ensuring Incidents are resolved within SLA and Root Cause Analysis is completed and acted on where appropriate., • Measure, monitor and report on the quality of the data in the Configuration Management System and look to identify improvements to the data quality in line with business needs and priorities by tackling data quality issues at source., • Ensure that Configuration Items are owned, and that the ownership is regularly checked and validated in line with best DQ practice., • Support the development of targets, measures and KPI's for Discovery and Configuration Management and then when delivered develop a plan for how to meet/exceed the targets., • Management of Suppliers, developing the relationship and ensuring that our suppliers are delivering against their contractual obligations., • Experience or understanding of project management methodologies including planning, risk and issue management and delivery., • Experience of maintaining and managing Enterprise level Configuration Management and BMC Discovery tools and processes., • Excellent understanding of the Discovery Tool, best practices and how to fully exploit the benefits that the tool can deliver., • Application Modelling Experience - Including BMC SAAM (Start Anywhere Application Mapping), CAM (Collaborative Application Mapping) and at the forefront of new developments and education of the wider team during version upgrade/systems maturity., • Good understanding and use of BMC Helix/Remedy and Atrium CMDB with a good understanding of BMC Common Data Model and the SID (Shared Information Data model), • Excellent understanding of technologies used by IT Infrastructure (Virtualisation, LDOM, Cloud etc)., • Strong understanding of Configuration Management's role within other ITSM functions, including exposure/experience of Change Management, Incident Management (including Major Incident) and Problem Management., • Experience or understanding of project management methodologies including planning, risk and issue management and delivery., • Imaginative and innovative thinking particularly relating to problem solving and new opportunities to enhance the integrity of Configuration Management, its systems, processes and data., • Experience of analysing current processes to proactively identify improvement opportunities., • Excellent people management skills focussing on performance, development, and softer skills., • Excellent Stakeholder Management skills helping them to understand the benefits of Discovery and Configuration Management as well as developing strong working relationships with key infrastructure teams and asset managers., • Supplier Relationship Management skills, developing strong partnerships with suppliers and ensuring that they are delivering against contractual obligations., • ITIL Service Management Accreditation., • Strong Data Science/Analysis and reporting skills, • Able to produce good quality documentation & Architecture Diagrams (Visio) and processes., • BMC Discovery TPL (Tideway Pattern Language) experience., • SQL/MySQL/VBA/Python/Java/Perl/Bash and or similar scripting language knowledge.

Graduate ASIC Verification Engineer Cambridge or remote within the UK Must have internship or placement experience and be based in the UK. An innovative UK fabless semiconductor company developing next-generation secure microcontroller technology for safety-critical embedded systems. Built on advanced capability-based architecture research, the company is already collaborating with several of the world’s leading technology organisations. I am looking for a talented Graduate ASIC Verification Engineer to join a growing verification team. You will work alongside experienced engineers to ensure the functional correctness and quality of complex digital designs used in next-generation semiconductor products. This role is suited to graduates with strong digital design and verification knowledge, excellent academic performance, and relevant industry experience through internships or placements. Key Responsibilities • Develop and maintain verification environments for digital and ASIC designs, • Write SystemVerilog/UVM testbenches to verify RTL functionality, • Create directed and constrained-random tests, • Run simulations, analyse results, and debug failures, • Contribute to coverage-driven verification strategies, • Work closely with design engineers to resolve functional bugs, • Participate in design and verification reviews, • Document verification plans, test results, and coverage metrics Required Qualifications • Bachelor’s or Master’s degree in Electronic Engineering, Electrical Engineering, Computer Engineering, or a related discipline, • First Class or Upper Second Class (2:1) degree from a top engineering university, • Minimum 12 months of relevant internship or industrial placement experience, • Strong understanding of digital logic design and computer architecture, • Knowledge of HDL languages (SystemVerilog, Verilog, or VHDL), • Strong analytical and problem-solving skills, • Good written and verbal communication skills Desirable Skills • Experience with SystemVerilog verification and UVM – through internship, • Exposure to coverage-driven verification methodologies, • Familiarity with EDA tools (Synopsys VCS, Cadence Xcelium, Siemens Questa), • Knowledge of Python, Tcl, or scripting for verification automation, • Understanding of ASIC design flows, • Enthusiasm for semiconductor design and verification On offer is the rare opportunity to work for a British company and remotely, mentorship from experienced ASIC engineers and the opportunity to work on advanced semiconductor projects. You will be entitled to a base salary and company stock options. For more information please contact Rachel Mason at IC Resources

About Us Leading global fintech platform serving millions of users, top-ranked by transaction volume. We're pioneering AI-native systems where LLMs, intelligent agents, and automation drive core capabilities—not just features. The Role Seeking engineers to build vertical AI agents for financial technology domains. Train, fine-tune, and deploy LLMs (using SFT/RLHF) as production-ready systems, including: • Fintech AI agents & copilots, • Domain Q&A and knowledge tools, • Specialized financial insight engines Collaborate with product/engineering teams to ship AI at scale. What You’ll Work On • LLM training/fine-tuning (SFT, RLHF, distillation) for financial use cases, • RAG systems & knowledge integration, • Model optimization for real-time production, • AI agent development & efficiency pipelines Who You Are • Hands-on LLM/deep learning experience (PyTorch/Transformers), • Built domain-specific AI (fintech/finance preferred), • Strong Python & engineering fundamentals, • Mandarin & English fluency required Nice to Have • Fintech/trading/quant background, • Scaled AI deployments, • Agentic AI systems Why Join • Shape AI for a global top platform, • Real-world impact at massive scale, • Fully remote (GMT+8 hours focus)

AI Developer Full Time · Remote · All experience levels considered Apply Submit your CV and a short cover letter to: About Cassette Cassette is an AI-first creative technology partner. We design and build intelligent solutions that make a real impact — from immersive experiences and AI video to productivity tools and custom platforms — working with some of the world's most innovative companies, including major pharmaceutical and consumer brands. We move fast, we prototype constantly, and we use the best tools available — including the ones that didn't exist six months ago. If you're the kind of developer who wakes up excited about what AI can do next, you'll fit right in. The Role We're looking for an AI Developer to join our team. The title says developer but this role is really about momentum — building things quickly, experimenting boldly, and turning ideas into working prototypes before the coffee goes cold. We're not fixed on experience level. What matters is mindset: comfort with ambiguity, genuine enthusiasm for AI tools and new ways of working, and the ability to ship. What You'll Do – Use vibe coding tools (Cursor, Windsurf, v0, Bolt, Replit Agent and others as they emerge) to build and iterate rapidly – Prototype quickly — turning a brief or a vague idea into something real and testable within hours, not weeks – Build front-end experiences that bring AI-powered products to life – Develop backend services, APIs, and automations that underpin those experiences – Create and orchestrate AI agents for research, content generation, decision support, and workflow automation – Design, test, and refine prompts to get consistent, high-quality outputs from LLMs – Experiment with emerging tools and models — and bring your findings back to the team – Collaborate closely with designers, strategists, and technologists across small, fast-moving teams What We're Looking For We care far more about how you think and work than what's on your CV. A portfolio of side projects tells us more than a list of job titles. Essential: – Hands-on experience with vibe coding and AI-assisted development tools — not just awareness of them, but actual daily use – A rapid prototyping mindset: you build to learn, iterate fast, and don't wait for perfect conditions – Working knowledge of JavaScript and/or Python – Genuine curiosity about AI — you follow the space, you experiment, and you have opinions – Comfort working with ambiguity: you can take an open-ended brief and make something from it – Clear communicator who can explain their thinking to non-technical colleagues and clients Experience level is flexible. We'll consider: – Recent graduates or self-taught developers who've built things with AI tools independently – Mid-level developers with 2–4 years of experience looking to work at the cutting edge – Senior developers who want to bring rigour and experience to an AI-first environment Nice to Have (None of these are required — but they'd put a smile on our faces.) – Side projects, experiments, or public repos involving AI, agents, or automation – Experience with workflow tools like n8n, Make, or Zapier – Familiarity with AI APIs, vector databases, or agent frameworks (LangChain, CrewAI, etc.) – Prompt engineering or system design experience – Any exposure to immersive or experiential tech: AR, VR, WebGL Recruitment Process We want the process to reflect how we actually work — collaborative, low-pressure, and focused on what you can do. 1. Initial Chat A relaxed conversation about you, what you've built, and what excites you. No trick questions. 2. Creative Technical Challenge A short hands-on exercise to complete in your own time — no more than 2 hours. We want to see how you prototype and problem-solve, not test your memory under pressure. Vibe coding tools are not just allowed — they're encouraged. 3. Meet the Team A friendly session to walk through your challenge, talk about your approach, and meet the people you'd be working with. Why Join Us? You'll be part of a small, ambitious team at the forefront of AI-first enterprise work. We have real clients, real projects, and a genuine commitment to doing things differently — not just talking about it. We value curiosity, initiative, and a willingness to learn in public. We're building new ways of working from the ground up, and the right person will help shape what that looks like. There are no AI experts yet. Only people learning faster than others. We're one of those teams — come help us stay ahead.

Senior ML & AI Engineer Remote Up to £80,000 About the Role We’re partnered with a fast-growing tech startup focused on how brands and retailers use data. Their AI platform brings together data science, immersive visualisation, and large-scale machine learning to optimise product ranges, plan shopper journeys, and drive smarter commercial decisions. They’re now looking for a Senior ML & AI Engineer to join their lean, high-impact engineering team. This is a pivotal role at the intersection of ML engineering, backend systems, and LLM integration - ideal for someone who thrives in fast-paced, hands-on environments where ML systems are core. Responsibilities • Design, build, and maintain scalable backend systems that power advanced ML and LLM applications., • Develop and manage end-to-end MLOps pipelines with automation, reproducibility, and scalability at their core., • Deploy and monitor machine learning and LLM models in production, identifying model drift and performance issues., • Drive research and development in modern ML, AI, and LLM approaches, applying SOTA techniques in a real-world setting., • Champion clean, maintainable, and well-documented code following best engineering practices. What We’re Looking For • Strong academic background in Computer Science, ML, AI, or a related field., • Deep hands-on experience with Python and ML frameworks (PyTorch, TensorFlow, Hugging Face)., • Proven background in MLOps, including model versioning, CI/CD for ML, and production monitoring., • Experience building robust backend systems and APIs to serve ML models at scale., • Strong understanding of big data technologies and data orchestration tools (Airflow, DBT)., • Familiarity with LLM integration and optimisation in production environments., • Excellent problem-solving, analytical, and communication skills., • Experience fine-tuning LLMs (e.g. Unsloth, cloud-based methods).

A technology consulting firm in the United Kingdom is looking for a skilled Python Developer to enhance their database operations through automation.The successful candidate will design and maintain automation solutions, integrate APIs, and utilize container technologies like Docker and Kubernetes.S

A technology solutions provider in the United Kingdom is seeking a Python developer to build scalable automation solutions that enhance database operations.The ideal candidate will have hands-on experience with API development using Python and FastAPI, along with strong debugging and problem-solving

We are seeking a highly skilled Storage & Infrastructure Engineer to join our Enterprise Services team. This role is ideal for someone with deep technical expertise in storage platforms, automation, cloud infrastructure, and DevOps practices, who is passionate about delivering high‑quality services and driving continuous improvement. Key Responsibilities Storage & Platform Engineering Certify, test and develop new features and platforms across SAN infrastructure, primarily Dell PowerMax/Vmax‑3/XtremIO, Pure FlashArray, HP Primera/Alletra and Cirrus DMS using Broadcom and Cisco SAN switches/directors and iSCSI connectivity. Carry out end‑to‑end server‑to‑storage mapping and remediation activities. Develop and maintain automation supporting installation, provisioning, migration, compliance, and platform operations.Enterprise & Cloud Services Provide enterprise platform services across UNIX/Linux, Windows, virtualisation and storage environments. Support the delivery of Developer Services such as virtualisation, ALM, Dev Engineering, Development and Cloud. Develop cloud‑based infrastructure platforms and deliver Infrastructure/Platform-as‑a‑Service in collaboration with business and DevOps teams. Determine and execute the strategic direction across key enterprise technology disciplines.Service, Quality & Governance Ensure service quality targets are met for all platforms. Manage risk and cost across services and technologies. Partner with business stakeholders to define product roadmaps and identify emerging capabilities.Automation, DevOps & Engineering Write development code and build automated test scripts for infrastructure products and upgrades. Contribute to CI/CD pipelines and build automation interfaces between systems. Drive continuous improvement and support change implementation across services.Required Skills & Experience Expertise in server operating systems: Linux (RHEL), Windows, VMware. Deep technical knowledge of Dell PowerMax/Vmax3/SRDF/XtremIO, Pure FlashArray, HPE Primera, Cirrus DMS. Strong experience in Python, Ansible and Shell scripting for automation and as‑a‑service capabilities. Proven capability in storage migration (server‑ and storage‑based). Experience with infrastructure as code and automation/orchestration tools such as Puppet, Chef, Ansible Tower, Jenkins. Understanding of cloud and storage infrastructure architecture. Background in storage engineering, scripting, or automation roles. Experience with CI/CD engineering approaches. Experience with Agile methodologies and DevOps practices (desirable). Relevant certifications (EMC, Pure, cloud‑related) beneficial. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

Job Title: AI Engineer - Python, LLMs Location: Sheffield (Hybrid) Type: Contract, Full-Time We are looking for a skilled and experienced Analytics Engineer to join a rapidly growing organisation. You will Partner with business stakeholders to design and deliver impactful dashboards, analytical products, and metric frameworks. You will build high‑quality analytics datasets, semantic layers, and reusable data models that power reporting and advanced insights. You will be responsible for : Develop and maintain CI/CD pipelines for analytics workflows, ensuring reliable, automated testing and deployment. Use Python or similar scripting languages to support analytics, automation, and data manipulation tasks. Leverage LLMs and AI‑assisted tools to accelerate insight generation, documentation, and development workflows.Key Skills and Experience you must have: Strong SQL and data modelling skills. Hands-on experience with enterprise analytics platforms such as Power BI and Tableau. Experience in implementing CI/CD pipelines for Analytics. Excellent experience with Python. Excellent experience working with large Enterprise Data Platforms. Experience using LLMs or AI-assisted tools to accelerate analytics and insight generation. You must be a team player with the ability to work in a collaborative environment. If the role is of interest please get across your CV

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