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Are you passionate about building the engine that powers data at scale? At Specsavers, we’re looking for a Senior DataOps Engineer to play a critical role at the heart of our Data Engineering team helping us build, run, and continuously improve the platforms that enable data-driven decision making across the business. This is an exciting opportunity to own the “assembly line” behind our data products. You’ll be focused on making our data platform faster, more reliable, and easier to work with using automation, observability, and modern engineering practices to improve quality, resilience, and speed to value. If you enjoy solving complex problems, reducing friction for engineering teams, and making systems run better every day, this role will really resonate. In this role, you’ll be hands-on building and evolving our DataOps capability automating data pipelines, testing data quality, and ensuring our production and development environments are monitored, observable, and highly performant. You’ll work closely with Data Engineers, QA, DevOps, and platform teams to replace manual processes with smart orchestration, enable self-service environments, and deploy with confidence through CI/CD and infrastructure-as-code. Your work will directly impact how quickly and safely data products can be delivered to the business. You’ll thrive here if you bring strong, real-world experience in DataOps and cloud-based data platforms. You’ll be comfortable working end-to-end across Azure based technologies such as Databricks, Data Factory, Data Lake and Azure SQL, and confident using Python, SQL, Git, and automation tooling to improve reliability and scalability. Experience with containerisation, Kubernetes, Terraform, and modern DevOps practices will allow you to lead by example and champion best practice across the data engineering community. What really sets you apart is your mindset. You care deeply about quality, observability, and operational excellence. You enjoy collaborating across teams, explaining complex technical concepts in simple terms, and helping others learn and improve. You’re curious, proactive, and always looking for smarter, more efficient ways to do things while keeping security, performance, and cost firmly in mind. If you’re excited by the idea of enabling data at scale, building robust platforms, and having real influence over how data engineering is done across a global organisation, this is a role where you can truly make your mark. Join us as a Senior DataOps Engineer and help power the data foundations that support Specsavers’ mission to change lives through better sight and hearing. #LI-CB1

About Mondottica Mondottica means 'World Optical'. Collectively, we aspire to develop strong and long-term partnerships with our licensors, customers and employees. Mondottica is in business to build a customer focused international fashion eyewear company that is committed to making beautiful product. Through our collaborations and our partnerships, we aim to bring our Brand Partners’ vision to life through eyewear design, helping people to see. Role Purpose A hybrid technical role covering 1st and 2nd line support, data analysis, and the development of AI-powered and automated solutions. Responsibilities 1st Line Support • Act as the first point of contact for IT issues., • Log, triage, and resolve incidents within SLA., • Diagnose basic hardware, software, and access issues., • Troubleshoot escalated complex issues., • Administer AD/Entra ID accounts and permissions., • Support servers, networking, and enterprise systems., • Extract, clean, and analyse data from systems., • Develop reporting dashboards in Power BI., • Identify data quality issues and improvements., • Assist staff in using MS Copilot and internal AI tools., • Create and refine prompt templates., • Guide safe and responsible AI use., • Build & maintain simple automations using Power Automate or scripts., • Automate repetitive IT tasks., • Document automations and ensure knowledge transfer. Skills & Experience (Essential) • Excellent communication with technical and non-technical users., • Strong customer service mindset., • Analytical thinker with strong problem-solving capabilities., • Organised, proactive, and able to work independently., • Ability to translate technical concepts into simple language. Desirable Skills • Basic PowerShell or Python scripting., • SQL querying for data extraction., • Experience supporting ERP or specialist business systems., • Exposure to Azure cloud services. This is a hybrid based 3 days a week in our Nottingham office, NG2, with two days working from home. The salary bracket for this role is £35,000 to £40,000 per annum + a wide array of employee benefits.

Robotics & Software Engineer Location: Flexible (UK/Northern Europe preferred) Sector: Advanced Automation & Robotics Type: Permanent Are you a robotics engineer who thrives at the intersection of software, automation, and real‑world problem‑solving? Our client is scaling fast and building next‑generation robotic systems that power high‑performance intralogistics, manufacturing, and automated material flow. They’re looking for a hands‑on engineer who can bridge robotics, software development, and system integration. What you’ll own • Designing, developing, and deploying robotics software for autonomous and semi‑autonomous systems, • Building control algorithms, motion planning, and real‑time decision‑making logic, • Integrating sensors, actuators, PLCs, and embedded systems into robust robotic platforms, • Collaborating with mechanical, electrical, and automation teams to deliver end‑to‑end solutions, • Troubleshooting, testing, and optimising robotic behaviours in live environments, • Contributing to architecture decisions, code quality, and continuous improvement What you bring • Strong experience in robotics engineering, automation, or mechatronics, • Solid software development skills (Python, C++, ROS/ROS2, or similar frameworks), • Understanding of kinematics, control theory, and perception systems, • Experience with simulation tools (Gazebo, RViz, MATLAB, etc.), • Ability to work across hardware and software boundaries, • A problem‑solver’s mindset with the confidence to experiment, iterate, and deliver Why this role stands out • Work on cutting‑edge robotics used by global brands, • Join a team that values innovation, autonomy, and engineering excellence, • Real influence on architecture, roadmap, and system performance, • Competitive package with strong progression opportunities

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.

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).

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).

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.

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.

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.

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.

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.

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).

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

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.

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.

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)

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

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.

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn . Internal Grade D/EB8 Job Description Experian's Offensive Security team charges itself with improving the organisation's security posture through clarifying risk and verifying the efficacy of our technical, people, physical and process controls from an attacker perspective. The team perform regular Adversary Simulation (Red Team) testing and a range of Ad-Hoc and Tactical Assessments based on changes to the threat landscape and organisational needs. To succeed in this role, you have breadth and depth of knowledge in security. This knowledge will include operating systems, networking and protocols, firewalls, databases, and middleware applications. Additionally, you will have expertise in forensics, scripting and programming, vulnerabilities, and the usage of GenAI / social engineering techniques. This is a Hybrid, Nottingham or London based role (40% in office) reporting to the Head of Offensive Security. Responsibilities • Collaborate with other teams within the Cyber Fusion Centre and the wider organisation. This ensures that we understand and articulate Cyber Risks in a threat-informed manner. The ultimate goal is to contribute to the successful defense of the organisation., • Support Offensive Security's engagement at multiple organizational levels, from senior leaders to technical analysts to help improve risk understanding and verify the efficacy of remediation/mitigative actions., • Participate in performing physical exploitation, network exploitation and social engineering assessments against authorized targets., • Use CyberThreat Intelligence, Offensive Security Research, previous Adversary Simulation (Red Team) findings and internal risk intelligence to develop test cases demonstrating TTP effectiveness against Experian's control environment., • Research and stay up to date with the latest cyber threats, attack vectors and attacker methodologies., • Develop scripts, tools and methodologies to increase Offensive Security's capabilities and educate other team members around automation and AI., • Background in offensive security and adversary simulation., • Detailed knowledge of global cyber threats and the procedures used by cyber adversaries., • Two or more of the following skills:, • Network penetration testing and manipulation of network infrastructure, • Web application penetration testing assessments, • Email, phone, or physical social-engineering assessments, • Development, extension, or modifying of exploits, shecode or exploit tools, • Covert physical intrusion, • Cloud security or penetration testing (any major provider), • AI Red Teaming/Testing and usage of Agentic AI for automation., • Proficient in attacker tooling, including post-exploitation frameworks and tooling., • Proficient in any of following programming languages (C, C++, C#, Python, PowerShell, Bash, or Ruby), • Proficient in Social Engineering techniques across OSINT, phishing, vishing and impersonation., • Knowledge of current cloud attack methodologies and mitigations., • Experience of Windows Operating System architecture and internals and use thereof in an enterprise environment., • Core Information Technology concepts such as TCP/IP networking, Windows & Active Directory, Unix/Linux, Mainframe, Cloud Service Providers, Relational Databases, Data Warehouses, and filesystems, • Great compensation package and discretionary bonus plan, • Core benefits include pension, bupa healthcare, sharesave scheme and more Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here 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. 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, 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 JBRP1_UKTJ

Company description WHAT YOU DO AT AMD CHANGES EVERYTHING All potential candidates should read through the following details of this job with care before making an application. 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. xrnqpay 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, • 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 advantageWhat we offer

We are partnering with a leading organisation in the data and analytics space to recruit an experienced Senior Site Reliability Engineer. This is an opportunity to join a highly collaborative, technically strong SRE function working on large‑scale, cloud‑native platforms that support high‑volume, high‑speed data services. The team is expanding due to increased workload, and this role will become the eighth member of an established, supportive engineering group. You’ll play a key part in driving cloud automation, improving system reliability, and supporting critical production environments. Key Responsibilities Build, maintain, and improve AWS cloud infrastructure Develop automation using Terraform, Ansible, and Python Support incident response and troubleshoot performance issues Deliver routine maintenance, including patching and upgrades Enhance CI/CD pipelines (GitLab CI, GitHub CI) Contribute to Agile ceremonies and take ownership of user stories Implement new technologies and solutions to improve system reliability What You Will Bring Strong commercial experience with AWS (essential) Solid understanding of Linux systems (RHEL, CentOS or similar) Scripting skills, ideally Python Hands‑on experience with Terraform and/or Ansible Proficiency with Docker Exposure to CI/CD tooling and Agile ways of working Background in software engineering, systems engineering, or previous SRE roles Minimum 4 years’ experience in a relevant technical discipline Please note, this role is not suitable for candidates with Windows‑only experience or Engineers without hands‑on AWS or Linux exposure. Remote working is supported, with an on-site presence in Nottingham, ideally once per week preferred

A leading actuarial consultancy in Greater London is looking for a Qualified Actuary to modernise their processes and contribute to various actuarial disciplines.You will collaborate with senior stakeholders and lead analytical projects that turn complex data into valuable insights.The ideal candida

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