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Senior Infrastructure Engineer (Contract) £700 per day | 3-Month Contract (Likely to Extend) | Onsite - Oxford Based Are you a Platform/Linux/DevOps expert who thrives on complex challenges? Do you love working at the intersection of science, technology, and hardware innovation? Ready to join a high-growth, cutting-edge tech environment where your impact is immediate? Our client, a scaling technology business with ambitious plans, is on the lookout for seasoned Senior Linux Platform Engineers to play a pivotal role in their DevOps transformation. This is your chance to join a project that blends scientific complexity with technological excellence, perfect for DevOps professionals who enjoy solving sophisticated problems, influencing infrastructure decisions, and working hands-on with the latest in modern tooling. Why This Role is Great • Shape the Future of Infrastructure: Drive the migration from Linux-based systems to cloud-native environments in a way that blends reliability, scalability, and performance., • Cloud without Boundaries: Work in a cloud-agnostic setup (primarily AWS and GCP), offering broad exposure to both platforms-no rigid vendor lock-in., • Hands-On with Leading Tech: Tackle real-world challenges using Docker, Kubernetes, Terraform, and Ansible in an agile and forward-thinking team., • Be Where Science Meets Tech: Collaborate with specialists across engineering and data science, contributing to projects that operate at the edge of hardware innovation., • Ownership from Day One: Hit the ground running and take immediate ownership of complex problems in a fast-paced, supportive environment. About You You’ll bring a solid foundation in Linux systems and have proven experience guiding businesses through cloud transformations. You may have previously worked in scientific, hardware, or deep-tech environments and have a natural ability to unravel technical complexity and make smart, scalable decisions. You’ll also enjoy working onsite-immersed with the team, collaborating closely, and shaping solutions in real time. You may have worked with or be eager to deepen your experience with: • Public cloud platforms – AWS, GCP, or both, • Container orchestration – Kubernetes & Docker, • Infrastructure-as-Code – Terraform, Ansible, • Monitoring tools – Grafana, Datadog, Prometheus, etc., • Python – for development, scripting and automation, • Solving complex technical challenges in environments where hardware and software intersect, • Working in highly collaborative, cross-functional teams If you don't tick every box but bring similar experience and the ability to adapt quickly, we strongly encourage you to apply. The Offer • £700-750 per day (Inside IR35), • Initial 3-month contract with strong likelihood of extension, • Onsite role (majority of the week), • Start ASAP Apply Now If you’re ready to make an impact in a tech-driven, fast-scaling organisation where no two days are the same, we’d love to hear from you. Submit your CV today to explore the next big step in your DevOps career. We are committed to building inclusive teams. We welcome applications from people of all backgrounds, experiences, and perspectives. Our client values diversity and believes a broad range of ideas and experiences makes for better outcomes.

Data Engineer Central Bristol (Hybrid – 2 days per week in the office) £50,000–£55,000 + Bonus + Excellent Benefits An established and forward-thinking organisation is seeking a talented Data Engineer to join its growing Data & Analytics function. This is an exciting opportunity to play a key role in the evolution of a modern data platform, supporting advanced analytics and AI initiatives. Working within a collaborative engineering team, the successful candidate will design, build and optimise scalable data solutions that enable informed decision-making across the business. The Role The Data Engineer will be responsible for developing and maintaining robust data pipelines and architectures, ensuring high standards of performance, quality and governance. You will contribute to the ongoing enhancement of the data platform, helping to shape best practice and drive innovation. Key responsibilities include: • Designing and developing scalable data pipelines and data models, • Building and maintaining cloud-based data infrastructure, • Implementing data quality, validation and monitoring processes, • Troubleshooting and optimising existing pipelines and datasets, • Working closely with cross-functional stakeholders to translate business requirements into technical solutions, • Supporting continuous improvement through automation and best engineering practices, • Participating in Agile delivery processes, including code reviews and sprint ceremonies, • Proven experience in a Data Engineering role, • Strong proficiency in SQL, Python and Spark (PySpark), • Experience designing data models and implementing reliable pipeline patterns, • Knowledge of orchestration tools such as Airflow, • Experience with low-code or no-code integration tools, • Hands-on experience with cloud platforms (AWS preferred), including services for storage, transformation and warehousing, • Experience interacting with APIs and cloud services programmatically, • Experience building and maintaining cloud data warehouses (e.g. Redshift, Snowflake or Databricks), • Familiarity with Git-based source control, • Experience working in an Agile delivery environment, • Strong analytical and problem-solving skills, • Competitive salary of £50,000–£55,000, • Discretionary annual bonus, • 25 days’ annual leave plus options to purchase additional days, • Generous pension contribution, • Comprehensive wellbeing support and healthcare cash plan, • Enhanced family leave policies, • Life assurance and employee discount schemes If you’re ready to make a meaningful impact in a hybrid Bristol-based role, we’d love to hear from you.

Lead AI Engineer Location: Flexible, Europe preferred Type: Full time Overview I am supporting a new AI venture backed by an established global technology platform in digital publishing and print infrastructure. The team is building an AI powered design editor that allows users to generate fully customised, print ready assets from natural language prompts. Unlike template based tools, this system creates original layouts, graphics, and structured outputs end to end. The Role You will operate at the intersection of backend engineering and applied AI, designing and building scalable systems that support production grade AI workflows. This is a hands on role with architectural ownership, focused on taking AI systems from concept through to reliable, high traffic deployment. Key Responsibilities • Design and build backend systems for AI driven content generation, • Develop and scale LLM pipelines, including orchestration and evaluation, • Build agent based workflows for structured content generation, • Architect APIs using Python, FastAPI, and Pydantic, • Ensure systems are robust, scalable, and optimised for production inference, • Collaborate with product and design teams to translate user prompts into structured outputs, • Own performance, reliability, and cost optimisation across AI services Requirements • Strong backend engineering experience with Python, • Proven experience building and deploying LLM based systems in production, • Experience with FastAPI, Pydantic, or similar frameworks, • Hands on experience with RAG, prompt engineering, or agent based systems, • Understanding of system design for high traffic, low latency environments, • Experience working across cloud platforms such as AWS or GCP, • Ability to operate as a senior individual contributor with ownership of architecture and delivery Nice to Have • Experience with generative design, graphics, or structured document generation, • Exposure to multimodal models or layout aware systems, • Background in building tools for creative or publishing workflows

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.

Position Summary Be part of the mission to keep the UK safe. We work with Defence & Security clients on some of the most ambitious technology programmes in the country. Our teams are growing across Technology and Transformation — and if you hold UK DV-level Security Clearance, we’d love to hear from you. The Opportunity We’re looking for an experienced Senior Technology Consultant to help digitise defence — combining modern innovation with traditional military functions. You’ll work with clients to solve complex technology challenges, shape cloud strategies, and deliver scalable, secure environments for mission-critical system Key Requirements All applicants must hold active UK DV (Developed Vetting) Security Clearance. Core consulting capabilities: • Strong ability to provide pragmatic, clearly articulated solutions to complex business challenges, • Proven experience managing workloads, meeting deadlines, and delivering tangible results, • Confident communication skills with both technical and non-technical audiences, • Experience leading teams and managing deliverables, • Ability to assess and select vendors/products, • Strong understanding of cloud migration and architecture We’re looking for candidates with skills in one or more of the following areas: Cloud Architecture & Engineering • Cloud platforms: AWS, Azure, Google Cloud Platform, or OCI, • Container technologies (Docker, Rocket) and orchestration (Kubernetes, OpenShift, Rancher, Swarm), • Infrastructure as Code (Terraform, CloudFormation, ARM, GCP CDM), • CI/CD and cloud automation tooling, • DevOps philosophies and toolchains, • Linux and Windows automation frameworks (Ansible, Puppet, PowerShell, etc.), • Version control and deployment tools (Jenkins, SVN, GitHub), • Awareness of cloud security, performance, and non-functional requirements Cloud Consulting • Defining and delivering Cloud Strategy and Operating Models, • Developing business cases for cloud investment, • Product and service selection for cloud solutions, • Leading agile ceremonies and stand-ups, • Architecting and delivering cloud platforms, • Understanding and advising on emerging cloud technologies and challenges, • Maintaining strong relationships with cloud vendors (AWS, Azure, GCP) Technical Authoring • Translating architectural information into clear, technical documentation for engineering and development teams, • Publishing and maintaining network documentation using tools like Git or markup-based repositories, • Managing technical decision processes and facilitating backlog discussions About the Business – Technology and Transformation Distinctive thinking, deep expertise, and a collaborative mindset — that’s what defines us. Our Defence and Security teams support clients to make the UK a safer place. From organisational change and programme management to advanced technology integration, we help clients deliver their mission through innovation and precision. Location and Working Model You’ll be based in Bristol, London, or Manchester, with hybrid working. We understand the importance of balance - so you’ll have the flexibility to work in the office, remotely, or on client sites as needed. Collaboration and connection remain key, but we support adaptable work styles that help you perform at your best.

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.

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).

Head of AI is seeking exceptional leaders to join our network of fractional Heads of AI. Our mission is to help Biotechnology and life sciences organisations evolve into AI-enabled institutions — embedding AI strategically across their research, development, operations, and decision-making. We are looking for individuals who combine deep technical fluency with board-level leadership, capable of guiding organisations as they adopt and scale the new era of generative and agentic AI. We work with organisations across biopharmaceuticals, drug discovery, genomics, clinical research, digital health, and medical devices, typically ranging from £20m–£500m+ in revenue. These organisations face increasing pressure to accelerate innovation and improve patient outcomes while maintaining strong governance, regulatory compliance, and data integrity. Our fractional Heads of AI support leadership teams in embedding AI capabilities that improve R&D efficiency, strengthen decision-making, and unlock new scientific and commercial value. We recognise that few professionals have completed a full AI transformation in life sciences. Therefore, we seek leaders with proven experience in digital, data, analytics, or operational transformation who are now applying that expertise to AI-led change. You understand how to translate ambition into action — guiding organisations through the cultural, operational, scientific, governance, and regulatory shifts required to unlock AI’s potential. What We Are Looking For: AI-Driven Business Transformation Leaders: Proven experience leading complex transformation programmes where technology, data, and innovation reshaped business performance. Able to apply that experience to the generative AI era — guiding biotech and life sciences organisations through the shifts required to become AI-enabled. Can connect earlier digital, analytics, or automation expertise with today’s agentic and generative AI capabilities. Deep Technical Fluency: Fluent in modern AI ecosystems including generative AI, agentic systems, AI copilots, and orchestration frameworks (e.g. LangChain, AutoGen, CrewAI). Understands how to combine traditional ML, analytics, and scientific data systems (e.g. genomics, clinical, real-world data) with emerging AI architectures to deliver measurable value. C-Suite and Board-Level Communicators: Able to simplify complex AI and scientific topics for executives and align AI investments with organisational strategy. Confident advising CEOs, CTOs, Chief Scientific Officers, and Boards on strategy, risk, governance, and ROI. Change Leaders: Strong stakeholder engagement and ability to drive adoption. Skilled in mentoring teams, developing AI literacy, and ensuring responsible AI practices. Understands data governance, regulatory requirements (e.g. GxP, FDA/EMA), and human-in-the-loop design needed for AI success in life sciences. Entrepreneurial Mindset: Thrives in ambiguity and fast-paced environments. Curious about new AI tooling and pragmatic about implementation. Focused on delivering measurable outcomes through experimentation and iteration. What We Are Not Looking For: • Legacy executives without hands-on AI or GenAI understanding, • Academic or research-focused professionals without applied business outcomes, • Technologists who lack leadership or transformation delivery experience, • Consultants who only advise but have not led execution, • Corporate-only leaders reliant on large structures Desired Profile Summary The ideal candidate will serve as a Fractional Head of AI / AI-Driven Transformation Leader, focused on helping biotech and life sciences organisations design and execute end-to-end AI strategies, roadmaps, execution plans, and governance frameworks. They will bring 10–20+ years of experience across AI, data, digital transformation, analytics, or life sciences innovation, with a proven ability to translate technology into measurable scientific and commercial outcomes. They are experienced transformation leaders — such as Heads of Data Science, Chief AI Officers, AI Strategy Leads, or Digital Transformation Leaders — who have evolved beyond model development into organisational change and value delivery. Candidates with a data science or bioinformatics foundation are welcome, provided they demonstrate fluency in modern AI technologies (LLMs, copilots, orchestration frameworks) and executive-level influence. They thrive in fractional roles (1–5 days per week) and bring an entrepreneurial, adaptable, and outcome-driven mindset. We welcome applications from professionals passionate about helping life sciences organisations harness AI responsibly and at scale.

Job Title - Senior Golang Engineer Rate - Competitive (Outside IR35) Location - Remote from UK & Europe Role Overview The Senior Backend Engineer will play a key role in building and scaling robust backend systems for a high-growth, multi-region platform. This position focuses on developing resilient, high-throughput services within a distributed, event-driven environment, supporting critical domains such as payments, accounts, and transaction processing. Core Responsibilities • Design, develop, and optimise backend services using Golang., • Build scalable, fault-tolerant microservices within a distributed architecture., • Develop and maintain RESTful APIs and internal service-to-service communication layers., • Work across core platform areas including payments, accounts, ledger, and risk/compliance systems., • Ensure code quality through peer reviews, testing, and adherence to engineering best practices., • Monitor and support live systems, troubleshooting and resolving production issues., • Collaborate closely with cross-functional teams including Product, DevOps, and Compliance. Required Experience • Strong hands-on experience developing backend services in Golang., • Solid understanding of concurrency, system performance, and efficient resource management., • Proven experience designing and building microservices and distributed systems., • Experience working with containerisation and orchestration tools such as Kubernetes., • Familiarity with cloud platforms (AWS, GCP, or Azure)., • Previous experience in fintech, regulated environments, or high-transaction systems is highly desirable. If this is of interest then please apply, we would love to hear from you!

Company Description AI agents are becoming autonomous - they execute code, call APIs, and make decisions without human oversight. An adequate security approach to govern them doesn't exist yet. We're building it. Our founding team created Sigstore, the open-source signing standard now used by npm, PyPI, Kubernetes, and other critical infrastructure. We're applying that same thinking to agentic security: execution boundaries, immutable attestation, and dynamic capability management for AI agents. This is a UK based role, but we may consider hiring from Europe and the US East Coast for exception candidates. What You'll Do • Contribute directly to the Nono open source project - code, documentation, and architectural proposals., • Experiment with different deployment architectures for Nono across cloud environments, on-premise infrastructure, and hybrid setups and share your findings with others at Always Further, and often with the community, via our blogging platforms or YouTube channel., • Work closely with early design partners to integrate Nono into proof-of-concept and pilot programmes, gathering feedback and translating it into engineering priorities., • Support pre-sales and post-sales engineering conversations with tier-1 enterprise organisations., • Produce technical content - blog posts, architecture guides, demos - that helps users and customers get the most out of Nono. What We're Looking For • AI engineering experience. You understand how modern AI/ML workloads are built, deployed, and orchestrated. Familiarity with agent frameworks and LLM-based systems is a strong plus., • Rust and Python proficiency. You don't need to be a language lawyer in either, but you should be comfortable reading, writing, and reviewing code in both. Rust experience is especially important for contributing to Nono's core, while Python is often used for tooling, research integration, and customer-facing scripts., • DevOps and cloud fluency. You've worked with container orchestration, CI/CD pipelines, and at least one major cloud provider (AWS, GCP, Azure) and some familiar with others.. Infrastructure-as-code is a strong point., • Security background. Understanding of host isolation, sandboxing, and supply chain security is highly valued. If you've worked on container security, VM isolation, or trusted execution environments, even better., • Open source experience. You've contributed to or maintained popular open source projects and understand how healthy communities operate - governance, code review culture, release processes, and community engagement., • Strong communication skills. You're equally comfortable in a GitHub issue thread with community contributors and in a room (or on a call) with enterprise architects and CISOs. Nice to Have • Background in systems programming, low-level Linux, or virtualisation technologies., • Strong hands on architectural knowdledge of how to deploy and operate complex distributed systems in production., • Familiarity with AI agent security challenges - prompt injection, tool misuse, data exfiltration, lateral movement., • Previous experience in a solutions engineering, or field engineering role at a startup or open source company. Why Join Always Further • Foundational impact. You're not joining a team — you're building one. Your architectural decisions become the product., • Foundational Stake & Compensation. As an early foundational hire at a pre-seed company, you will receive a highly competitive equity stake designed to reward early risk-taking and outsized impact, paired with a pre-seed base salary., • Remote, UK preferred. We're UK-based but open to exceptional candidates wherever they are. We provide flexible working built on trust and ownership., • Interested? Send us your CV along with your GitHub profile that links to any relevant open source contributions, blog posts, or projects. A short note on why this role interests you goes a long way.

Role: Senior AI Engineer Location: Remote (UK-based) Type: Full-time, permanent Compensation: Competitive salary + equity available About Veridox Veridox detects fraud in documents and images submitted to insurance companies, airlines, and financial institutions. When someone submits a receipt, ID document, or damage photograph, our platform determines whether it's genuine, tampered with, or AI-generated and explains why. Under the hood, we’re replacing brittle, hand‑wired pipelines with multi‑agent AI that reasons more like a human forensic analyst: pulling signals from multiple tools, weighing messy, conflicting clues, and landing on clear, defensible decisions. The Role You'll work on the core AI systems that make fraud decisions. This means building and improving the agent pipelines that coordinate LLMs, VLMs, OCR and forensic tools. You won’t be just calling APIs, but designing how autonomous agents reason about complex, ambiguous evidence. Day to day, you might be: • Improving how the system handles a document type it's getting wrong, • Designing a new agent reasoning pattern (e.g., cross-referencing findings across multiple documents in a claim), • Debugging why an agent produces inconsistent verdicts on edge cases, • Deploying pipeline changes to AWS and monitoring real-world performance, • Writing tests that verify an agent makes the right routing decision when evidence conflicts The work sits at the intersection of AI engineering, systems design, and a surprisingly interesting fraud detection domain. Builder Mindset We’re looking for people who build systems, not just talk about them. This role is about shipping reliable AI into production: debugging edge cases, improving pipelines, and learning from real-world behaviour. If you enjoy turning ideas into working software and iterating quickly, you’ll fit right in. What We're Looking For You should be strong in: • Python: you write clean, typed code and care about it working correctly at the edges, • Working with LLMs beyond chat: structured output, multi-step reasoning, prompt calibration for reliability, • AWS: comfortable with S3, Lambda, IAM, and deploying services that need to work without you watching them, • LLM/VLM Observability (e.g Arize Phoenix), • Experience with agent orchestration frameworks (LangGraph, LangChain, or similar), • Familiarity with vision-language models for image analysis, • Some exposure to document analysis, OCR, or fraud detection, • The specific AWS services we use (Bedrock AgentCore, EventBridge), • Our domain (insurance fraud, document forensics), • The exact frameworks in our stack These are learnable. What matters more is that you can reason about systems, write reliable code, and think critically about how AI makes decisions. How We Work • Small team, high autonomy, async-first, • Security-conscious by default. We assume all inputs are hostile, • We'd rather halt and ask a question than ship something we're uncertain about, • Code gets attacked before it ships. We review from the perspective of a hostile auditor, • We don't over-engineer. Three similar lines of code is better than a premature abstraction What Growth Looks Like Early on: You're deploying changes to the pipeline, understanding how evidence flows through agents, and shipping features that touch the reasoning layer. Later: You own major subsystems. The document analysis agent, the tool orchestration layer, or the cross-document case analysis pipeline. You're making architectural decisions about how agents reason. Longer term: You're designing novel multi-agent patterns, integrating new forensic tools, and shaping how the platform learns from analyst feedback over time.

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.

The Setup: A high-growth agile unit within the global STARLIMS ecosystem. STARLIMS provides leading Laboratory Information Management System (LIMS) solutions that have served customers around the world for over 30 years. Our solution suite helps labs: • Improve the reliability of sampling and testing, • Manage complex testing workflows and analytical methods, • Support compliance with global regulatory requirements and industry standards The Role: Architect, Mentor, & AI Pioneer We are looking for a Senior Architect/Lead Developer to take complete ownership of the Labstep platform. You will be the primary decision-maker for our architecture, moving us from a robust data tool to an AI-augmented powerhouse. The Opportunity: The Best of Both Worlds Labstep was founded to build user-centric software that accelerates scientific discovery. Recently, we joined forces with STARLIMS, a global leader in Informatics. What this means for you: You get the high-impact, fast-moving "Day 1" culture of a startup where you own the entire tech stack, backed by the job security, comprehensive healthcare, and professional benefits of a major global organization. • Complete Technical Autonomy: You own the AWS-based stack (Pulumi, ECS, Fargate). You decide the "how" and the "when" for every major architectural shift., • Lead the AI Roadmap: You will architect our AI Search and Natural Language Agent. We want a pragmatic engineer who can lead the implementation of LLMs and Vector Databases to help scientists automate complex tasks., • Mentorship & Team Lead: You will work closely with a Technical Product Manager and mentor a Junior Developer, setting the standard for engineering excellence and clean code., • DevOps Excellence: Managing our infrastructure via Pulumi to ensure the high-availability and security standards required by global research institutions. The Tech Stack: We believe in using the right tool for the job. You will manage the current foundation while evolving it: • Current Core: PHP 8 / Symfony / Doctrine API, React / TypeScript Frontend., • Cloud/Infra: AWS (Fargate, ECS, Lambda), Pulumi (IaC), MySQL., • The Frontier: This is your domain. You will lead our transition into Vector Search, Hybrid Search Engines, and AI Orchestration. Who You Are: • A Technical Owner: You’ve scaled production web apps and are comfortable across the full stack and infrastructure., • Pragmatic AI Enthusiast: You don't need a background in AI, but you are excited to build production-ready AI features (RAG, Agents) that solve real problems., • Empathetic Mentor: You enjoy leveling up junior talent and collaborating deeply with product peers., • Mission-Driven: You want your work to help scientists cure diseases and solve global challenges. Skills Required: • 5+ years of leading development teams, • 5+ years of leading architect, • 5+ Years of AWS DevOps experience, • Experience coding with the following languages/technical solutions - PHP 8 / Symfony / Doctrine API, React / TypeScript Frontend Why Labstep & STARLIMS? • Impact: Your code directly supports the world’s leading scientists and researchers., • Stability & Perks: Enjoy the comprehensive benefits package of a large corporation—including private healthcare, pension, and enhanced job security—without the corporate red tape., • The "Startup" Feel: We remain a small, agile team that moves fast, experiments often, and values your voice., • Work-Life Balance: Remote-first flexibility with meaningful monthly in-person collaboration in London. STARLIMS is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, creed, religion, color, national or ethnic origin, citizenship, sex, sexual orientation, gender identity and expression, genetic information, veteran status, age or disability status.

Senior Data Engineer – Remote UK or Europe Are you a Senior Data Engineer who wants to join a scaling SaaS startup that is just about to close its Series A? A hospitality SaaS company are shaking up the industry, building a modern platform designed around real data. 📍 Remote in UK or Europe. You will need to be +/- 2 hours UTC 💷 £80,000 - £90,000 + Equity 🤝 Interview Process 3 stages – Interview with Founder, Interview with team members, Final Technical Interview Tech Stack: Angular, TypeScript, Liveview, Tailwind, Elixir, Node, Nest, Postgres, GraphQL, Git, Kubernetes, Websockets, AWS Today the platform already processes a large volume of transactional information and has a strong data foundation in place. • ~500GB of structured transaction data, • 100M+ transactions across multiple restaurant types, • A data platform ready to scale The next step is turning this into a high-performance analytics and data infrastructure that powers benchmarking, product insights and machine learning. That is where you come in. We are looking for a Senior Data Engineer who can design and build the analytics architecture that sits alongside the transactional platform and unlocks the value of this data. The Role: You will design and build the analytics infrastructure that powers data across the business. This includes building scalable pipelines, selecting and implementing the right warehouse architecture and ensuring analytical queries can run in seconds across hundreds of millions of records. You will work closely with engineers, data scientists and ML engineers to ensure the platform supports both product intelligence and machine learning use cases. This is a hands-on role where you will own the architecture, pipelines and performance of the analytics stack. What You Will Be Doing • Design and build a scalable analytics architecture capable of handling hundreds of millions of transactions, • Build and optimise an OLAP analytics stack separate from the transactional database, • Design and maintain ETL / ELT pipelines moving data from transactional systems into the analytics warehouse, • Ensure data integrity across 100M+ transaction records, • Optimise analytical queries to deliver sub-second or few-second performance, • Implement monitoring, alerting and testing across data pipelines, • Support data modelling and suggest improvements to existing database structures, • Manage supporting infrastructure across the data platform, • Work closely with ML engineers to support model training and inference, • Collaborate with technical and non-technical stakeholders to turn business questions into efficient data models, • Contribute to the long term data architecture strategy, • Help establish data governance, consistency and quality standards across the platform Experience We Are Looking For • Strong experience as a Senior Data Engineer, • Advanced SQL skills and strong query optimisation experience, • Experience building large scale analytics systems, • Hands-on experience with OLAP databases such as ClickHouse, Snowflake or Amazon Redshift, • Experience designing and implementing ETL pipelines from scratch, • Experience implementing caching strategies using Redis or AWS ElastiCache, • Strong knowledge of AWS infrastructure, • Ability to explain complex technical ideas to non-technical stakeholders Nice To Have • Experience with real time analytics systems, • Experience building benchmarking or BI platforms, • Experience working with very large datasets, • Familiarity with orchestration tools such as Airflow, Kafka or AWS Glue, • Knowledge of partitioning and sorting strategies for large datasets, • Experience in startup or high growth environments, • Understanding of data science concepts such as clustering or recommendation 90 Day Outcomes Within the first 90 days you will be expected to deliver clear progress on the analytics platform. This includes: • Selecting the appropriate analytics warehouse based on performance, cost and scalability, • Designing and deploying ETL / ELT pipelines ingesting data from Amazon Aurora into the analytics warehouse, • Implementing monitoring and alerting across pipelines and warehouse infrastructure, • Reducing benchmark analytics query times to under 2 seconds, • Implementing a caching layer for frequently used analytical queries, • Evaluating the current data architecture and recommending improvements to support long term scale If you’ve spent most of your career working for a large business, think about applying. You’ll need to be able to adapt, pivot and face the challenges that happen in startups. Apply or DM for more information

Senior Software Engineer – Backend (TypeScript / Node.js) 📍 Remote (UK) 💰 Circa £150,000 This opportunity is with a growing B2B technology company building backend-heavy products used by enterprise customers in a regulated space. The platform focuses on reliability, data correctness, and operational robustness. The business is continuing to scale its engineering function and is investing in strengthening the foundations of its backend systems as both the product and customer base grow. The Role: They’re looking for a Senior Backend Software Engineer to join one of their product engineering teams, with a focus on building and running services in TypeScript / Node.js. This is a hands-on role working on core backend services that underpin the product. You’ll take ownership of meaningful technical areas, contribute to architectural decisions, and help raise engineering standards as the team grows. What You’ll Be Doing: • Building and operating backend services in TypeScript / Node.js, • Owning services end-to-end, including production support, • Working with data-heavy systems where correctness and reliability matter, • Integrating with third-party APIs and external systems, • Improving performance, observability, and resilience, • Contributing to system design and architectural decisions, • Helping set and uphold engineering best practices, and acting as a senior presence in the team What They’re Looking For • Strong backend engineering experience with TypeScript / Node.js, • Experience working with modern backend frameworks and production databases, • Familiarity with cloud-native environments (AWS or similar), containers (Docker), and orchestration (e.g. Kubernetes), • Experience operating and improving production systems, not just building features, • A quality-focused mindset and a clear understanding of what “good” looks like in backend engineering, • Comfort working in complex, evolving systems with real-world reliability requirements Industry background isn’t the priority — they’re looking for solid senior backend engineers who care about building dependable systems. Why Consider It? • A chance to work on meaningful backend problems, • Exposure to complex data flows and reliability challenges at scale, • Real influence over how systems are built, operated, and improved, • An environment that values ownership, pragmatism, and engineering quality

Distributed Systems Engineer / Ray Framework SME A fast-growing, early-stage infrastructure company building at the intersection of AI and distributed compute! They’re looking for an Nngineer with strong experience in Python-based distributed computing, strong experience with Ray Framework in particular, to help design and scale systems handling complex, high-throughput workloads. What you’ll be doing • Designing and building distributed systems for large-scale compute workloads, • Scaling Python-based services across clusters and cloud environments, • Working on ML infrastructure / platform tooling (training, orchestration, or inference pipelines), • Improving performance, reliability, and fault tolerance across distributed environments, • Collaborating closely with data scientists and ML engineers to productionise models What they’re looking for • 6-8 years of experience minimum in Systems/Software Engineering., • Strong experience with Ray (e.g. Ray Core, Ray Serve or Ray Tune), • Strong experience with distributed systems or parallel computing, • Solid Python skills (production-level), • Experience with frameworks like Ray, Spark, Dask, or similar, • Exposure to Kubernetes / containerised environments Nice to have • Background in ML infrastructure, data platforms, or backend systems ideal, • Familiarity with PyTorch / TensorFlow in production environments, • Experience building internal platforms or developer tooling, • Cloud experience (AWS, GCP, or Azure) Why join? • Work on genuinely complex distributed problems at scale, • High ownership and impact in a growing team, • Opportunity to shape ML infrastructure from the ground up, • Strong engineering culture with a focus on performance and scalability Location / Package • Ideally London, onsite, but remote will be considered for the right fit., • Up to circa £130k + benefits per annum (dependent on experience)

Location: Remote (UK/EU preferred) Type: Freelance Contract (Part-time ad-hoc, project-based, potential for long-term collaboration) Hours: Work on your own schedule but must be available for 1 meeting per week during UK working hours. About WineFi WineFi is a data-driven platform for fine wine investing. We combine financial modelling, machine learning, and deep domain expertise to uncover undervalued wines and select assets that outperform the wider wine market. Our work bridges quantitative finance and alternative assets, helping investors make smarter decisions in an opaque market. The Role We’re seeking a freelance Backend / API Engineer to design and build production-grade APIs that expose our proprietary wine market data to our platform and external stakeholders. This role is ideal for someone with experience building clean, reliable, and well-structured APIs on top of complex data systems. Your first project will be to design and build a robust external-facing API layer that serves curated datasets from our internal databases. Over time, you may play a key role in improving how our data systems integrate with our platforms. Requirements • Proven experience as a Backend Engineer / API Engineer (3+ years), ideally in a startup or freelance environment., • Strong Python programming skills (FastAPI, Flask, or similar frameworks), • Experience building and maintaining production APIs used by external clients, • Strong SQL skills, including query optimisation and schema understanding, • Experience working with PostgreSQL;, • Familiarity with AWS (e.g. EC2, RDS, Lambda, API Gateway, etc.), • Experience with API security (authentication, rate limiting, key management), • Strong communicator, able to work independently and asynchronously Nice-to-have • Familiarity with ETL pipelines and orchestration tools (Dagster, Airflow, Prefect), • Experience with Motherduck, DuckDB, Dagster, dbt and Modal also beneficial., • Exposure to financial, time-series, or alternative asset datasets Responsibilities • Design and build scalable, production-grade REST APIs in Python., • Structure endpoints for both internal platform use and external clients/partners, • Implement authentication, rate limiting, and access control for external users, • Build efficient data access layers on top of PostgreSQL and internal data models, • Optimise query performance and API response times, • Ensure high availability, logging, and monitoring of API services, • Help define best practices for API structure, versioning, and maintainability, • Contribute to the broader architecture connecting data pipelines, databases, and application layers Collaboration • Work closely with data scientists and the head of data to align API outputs with models and research., • Support frontend/platform needs for seamless data consumption. Why work with us? • Freelance flexibility with potential for long-term collaboration -- we have lots to build!, • A lean, ambitious environment where your work has direct impact, • The opportunity to build the core API layer of a data-driven investment platform, • Work closely with the founding team across data science and engineering Unedited, AI-generated applications and messages are highly discouraged. Please start any message to us with 'original' and keep them under 100 words.

Accelerant is seeking a Product Area Lead Architect to provide hands on, operational architectural leadership for our Insights, Analytics & Workflows product area. This role operates at a Principal level, influencing architecture and execution across multiple autonomous product teams. You will work closely with team architects, engineering managers, product managers, and Data Science teams to ensure teams move fast without fragmenting the architecture. This is not an ivory tower architecture role. It is highly collaborative, pragmatic, and operational, focused on identifying architectural gaps, managing dependencies, and enabling teams to execute confidently within a shared architectural framework. You will champion standards based architecture, leveraging web standards, open protocols, and industry conventions to build interoperable, accessible, and future proof systems. Key Responsibilities Operational Architectural Leadership • Ensure architectural alignment across product teams, partnering closely with team architects and engineering managers, • Proactively identify architectural gaps, technical debt, and quality risks; drive resolution through collaboration and influence, • Manage cross team technical dependencies to enable independent, parallel execution, • Translate architectural strategy into clear, actionable guidance that teams can apply sprint by sprint Cross Team Coordination & Alignment • Facilitate architectural discussions and resolve technical conflicts across teams through principled, pragmatic decision making, • Act as an escalation point for complex cross team technical challenges, • Ensure architectural decisions are clearly communicated, understood, and consistently applied Design and Innovation • Define and maintain architectural patterns across backend services, APIs, data platforms, and front end systems, • Design scalable, resilient systems for analytics, workflow orchestration, and intelligence features, • Guide decomposition of legacy systems into well defined services and domains, • Evaluate technologies and data stores, favoring open standards and long term maintainability, • Architect distributed systems with focus on reliability, fault tolerance, and scalability Standards & Governance • Establish API design standards ensuring consistency, discoverability, and ease of integration, • Define front end standards prioritizing web platform capabilities, progressive enhancement, and accessibility (WCAG), • Create governance frameworks that balance standardization with team autonomy, • Drive adoption of industry standards (OAuth2, OpenID Connect, OpenTelemetry, JSON:API) over proprietary alternatives Technical Leadership • Partner with engineering teams on design reviews, PR reviews, and implementation guidance, • Establish standards for cross cutting concerns: API versioning, auth, observability, error handling, and resiliency patterns, • Collaborate with platform and DevOps teams on containerization, CI/CD, and cloud native deployment, • Produce clear technical design documentation that drives alignment and knowledge sharing, • Mentor engineers and raise the overall architectural maturity of the organization GenAI, ML & AI Architecture • Architect customer facing GenAI features using LLMs, including RAG pipelines, prompt engineering frameworks, and conversational AI interfaces, • Define patterns for ML model integration: serving endpoints, API contracts, versioning, and health monitoring, • Partner with Data Science to translate models into production grade features with clear integration contracts and deployment workflows, • Establish standards for responsible AI, including evaluation criteria, privacy guardrails, and LLM output validation AI Transformation & Productivity Leadership • Scale AI driven development workflows across teams, ensuring engineers leverage AI coding tools effectively, • Guide team architects and coach senior engineers on using AI tools to enhance productivity and code quality, • Work hands on with teams to identify opportunities for AI to solve operational challenges and improve velocity Solution Evaluation & Quality Assurance • Evaluate and recommend technologies to enhance capabilities across analytics, workflow, and intelligence domains, • Ensure architectural integrity through code reviews, assessments, and continuous monitoring, • Proactively identify technical risks and devise strategies for reliability, security, and performance Technical Requirements Full Stack SaaS Architecture: • Strong proficiency in modern JavaScript/TypeScript and Node.js, • Deep knowledge of web platform fundamentals and browser native capabilities, • Experience designing and evolving well structured APIs for platform integrations Architectural & Systems Thinking: • Deep knowledge of architecture principles, design patterns, and distributed systems, • Proven ability to make pragmatic tradeoffs in complex, evolving systems, • Experience in cloud native environments, preferably AWS AI Enabled Engineering: • Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, Claude, etc.), • Understanding of AI applications for development productivity and code quality improvement Qualifications • 8 to 12+ years in software engineering and architecture roles, • Proven experience operating across multiple agile teams in an architectural leadership capacity, • Track record of managing cross team dependencies and bridging architectural vision with day to day execution, • Proven ability to drive AI adoption and transformation within engineering organizations, • Excellent communication and facilitation skills with ability to align work across distributed teams, • Pragmatic, operational mindset with strong problem solving abilities, • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

We're hiring a Gen AI Engineer If you've built LLM systems that actually work in production — not prototypes, not demos — this is worth reading. What our client does They're an AI company operating at the intersection of computer vision and large language models, building intelligent workflows for industries where work happens in the field: utilities, telecoms, energy, retail. Their platform processes real-world operational data at scale, helping global enterprise clients make faster, safer and more accurate decisions about their assets and people. They own a dataset in this space that nobody else has. That matters when you're building AI that actually needs to work. 50+ models in production. Real clients. Real scale. The role You'll own LLM applications end to end. Architecture, prompt engineering, RAG pipelines, eval tooling, guardrails, all of it. No handoffs, no red tape. You build it, you own it. Stack: LangChain / LangGraph, AWS Bedrock, Pinecone / FAISS / Weaviate, DeepEval / Langfuse, Docker, Python. Multimodal capability essential. What we're looking for • 2+ years building and deploying production LLM systems, • Hands-on with RAG, vector databases and retrieval optimisation, • Eval tooling experience: DeepEval, Langfuse, Ragas or equivalent, • Strong Python and LLM orchestration frameworks, • Multimodal LLM experience (text + image/video), • Can own a model autonomously without hand-holding Why join Small senior team. Bi-weekly shipping cycles. Remote-first with optional London office and monthly meetups. Equity, healthcare allowance, pension. The problems are hard. The data is unique. The ownership is real.

Job Title: GCP Data Engineer (DBT, Cloud Composer, Python, Terraform) Location: Edinburgh / Leeds/Halifax (hybrid 2/3 days from office) Experience: 10+ years Role Overview We are seeking an experienced GCP Data Engineer with strong expertise in DBT, Cloud Composer, Python, and Terraform Required Skills & Experience • Strong hands-on experience with Google Cloud Platform (BigQuery, Cloud Storage, etc.)., • Proven experience in DBT for data transformation., • Expertise in Cloud Composer / Apache Airflow for workflow orchestration., • Advanced proficiency in Python., • Solid experience with Terraform for infrastructure provisioning., • Demonstrated experience in migrating legacy systems (on-prem or other cloud) to GCP., • Strong understanding of data warehousing concepts and ETL/ELT frameworks., • Experience in leading teams and managing end-to-end delivery.

Staff Software Engineer – AI/ML (Agentic AI) Engineering | UK Remote / London (hybrid) Overview My client is a fast-growing, product-led technology company investing heavily in AI and next-generation machine learning solutions. They are seeking a Staff Software Engineer with experience in agent-based AI systems to help design and deliver advanced AI-driven products. The Role This is a hands-on technical leadership role focused on building scalable AI/ML systems, with a particular emphasis on agentic AI and modern machine learning approaches. You will play a key role in shaping technical direction, establishing best practices, and delivering high-quality systems from concept through to production. The role also involves mentoring engineers and contributing to the growth of a high-performing team. Key Responsibilities Project Ownership • Lead the design and delivery of AI/ML initiatives across the full lifecycle, • Build and deploy models, data pipelines, and production systems Cross-Functional Collaboration • Work closely with Engineering, Product, and DevOps teams, • Support integration of AI capabilities into wider platforms Technical Leadership • Provide guidance on AI/ML frameworks, tools, and best practices, • Contribute to the development of agent-based AI systems and workflows Mentorship & Communication • Mentor engineers and support technical development, • Promote strong collaboration across teams Problem Solving & Optimisation • Identify and resolve challenges in AI/ML systems, • Improve performance, scalability, and reliability Governance & Quality • Ensure high standards around model performance, data quality, and compliance Documentation & Knowledge Sharing • Maintain clear documentation and contribute to internal best practices Skills & Experience • 7+ years’ experience in AI/ML engineering, including production systems, • 3+ years in a technical leadership role, • Strong programming skills (e.g. Python or similar), • Experience with machine learning, data pipelines, and scalable systems, • Knowledge of modern AI approaches, including large language models and agent-based systems, • Experience working with cloud platforms (AWS, GCP, or Azure), • Understanding of distributed systems and scalable architectures, • Experience with CI/CD, microservices, and MLOps practices, • Ability to mentor and support engineers, • Strong collaboration and communication skills, • Experience working in Agile environments, • Degree in a relevant technical field (or equivalent experience) Tech Environment (indicative) • Backend languages (e.g. Python or similar), • Cloud platforms (AWS / GCP / Azure), • Containerisation and orchestration tools, • Infrastructure as code, • Observability and ML tooling, • Modern AI/LLM frameworks, • Relational and non-relational databases, • Version control and CI/CD tooling Benefits • Competitive salary, • 25 days’ annual leave + bank holidays, • Sick pay package, • Flexible / remote working, • Enhanced parental leave, • Pension scheme, • Career development opportunities Additional Information This role is not eligible for visa sponsorship.

Insight Global is looking for a fully remote Azure Cloud Architect to join a large financial services institution for a contract that will go until the end of the year. This would be a fully remote position in the UK. In this role, you will work closely with business and technical stakeholders to understand customer requirements and priorities, leading architectural design sessions to deliver secure, scalable, and compliant Azure infrastructure solutions across multiple divestment projects. Targeting following skillsets: • Cloud Architect focused on Azure., • Experience with Databricks as a data management orchestration tool and Azure Data Factory, • Experience with on prem data storage., • Experience operating in highly regulated industry, e.g. Financial Services., • Experience and understanding of large-scale infrastructure deployments in enterprise-wide environments required., • Success in consultative/complex technical sales and deployment projects., • Exceptional verbal and written communication skills as well as stakeholder management experience., • Experience of working with Continuous Integration (CI), Continuous Delivery (CD) and continuous testing techniques and tools with knowledge/awareness of TerraForm., • Experience in working in a global cross functional service management team., • Industry recognized Azure cloud architect certification., • Experience dealing with IT Audit, Security and Risk.

The Opportunity - (Fully Remote, Perm role) This is a greenfield data platform build. ___ is in the middle of a major AI transformation — a multi‐agent copilot platform (KAI) is already live in production, serving manufacturing clients globally. The AI roadmap is ambitious (agentic AI capabilities, multi‐agent orchestration, voice interfaces), and the next wave of capabilities depends on a strong data engineering foundation. A Databricks lakehouse POC is being evaluated (Unity Catalog, Delta Sharing, PrivateLink to RDS), and the team is assessing the right long‐term analytics platform strategy. This role builds the entire data engineering function from scratch — defining the architecture, tooling, and patterns that power the next generation of AI capabilities. This is an entirely forward‐looking role. While there is an active platform modernisation underway (the engineering team is migrating a .NET platform from SQL Server to PostgreSQL and containerising for Kubernetes), this role’s primary focus is building new data pipelines and analytics infrastructure, not maintaining legacy systems. That said, collaboration with the platform engineering team is important, as the data pipelines need to ingest from both the existing SQL Server estate and the new PostgreSQL databases. Core Technical Requirements • Python — primary language for data pipelines, scripting, and integration with the AI stack. This is a Python‐first team, • SQL (SQL Server + PostgreSQL) — deep experience required across both engines. The platform runs a large‐scale multi‐tenant database estate with per‐client schemas (local, global, corporate). The new platform targets Aurora PostgreSQL, with several modules already migrated. Pipelines must bridge both., • Databricks / Apache Spark — a lakehouse POC is being evaluated with Unity Catalog and Delta Sharing via AWS PrivateLink. Experience with Databricks or equivalent analytics platforms is important for assessing and scaling the right approach, • Apache Kafka — event streaming experience is essential. The platform is evaluating Kafka as the strategic backbone for ordered event logs, consumer group replay, and guaranteed partition ordering as the microservices fleet scales, • ETL/ELT pipeline design — building and maintaining pipelines into a medallion architecture (bronze/silver/gold layers) on Databricks or equivalent analytics platform, • Delta Lake — understanding of lakehouse table formats, time travel, and ACID transaction patterns, • AWS data services — RDS, S3, Lambda, Glue or equivalent. The platform runs entirely on AWS • Linux / CLI proficiency — must be comfortable working AI-Assisted Development Methodology -> Solvace is transitioning towards AI‐assisted development as a core engineering practice. Candidates should demonstrate: • Hands‐on experience with AI coding tools — Claude Code, OpenAI Codex, GitHub Copilot, Cursor, or similar. We’re looking for engineers who have integrated these tools into their professional workflow, not just experimented casually, • Spec‐driven development — ability to write clear technical specifications that can be used to drive both human and AI‐assisted implementation, with strong evaluation criteria and test coverage, • Portfolio evidence — professional projects or side projects that demonstrate AI‐assisted development practices. Contributions to or experimentation with emerging projects like OpenClaw are a strong signal, • Testing and evaluation rigour — experience building robust test suites, automated quality gates, and evaluation frameworks that ensure AI‐assisted code meets production standards Nice-to-Have -> • Apache Flink — for real‐time stream processing as the platform moves from batch to streaming analytics, • Apache Iceberg — experience with open table formats alongside or as an alternative to Delta Lake, • Go or Rust — valued as evidence of strong backend engineering and systems thinking, even though Python is the primary language, • Multi‐tenant data architectures — the platform runs per‐client schemas with tenant isolation requirements. Understanding tenant isolation patterns is a significant advantage, • Terraform / IaC — infrastructure is managed via Terraform; the Databricks POC has been codified in Terraform, • dbt or similar transformation framework, • Manufacturing / industrial data domain experience (sensor data, quality metrics, OEE, SPC), • CDC (Change Data Capture) — the platform is building CDC pipelines for the SQL Server to PostgreSQL transition, • Weaviate or other vector database experience — currently used for semantic search in the AI agent layer Why Join? • Greenfield data platform — the entire data engineering practice needs to be built from scratch. A lakehouse POC is being evaluated but the production architecture is theirs to define — patterns, tooling, and platform decisions from day one, • Direct AI impact — every pipeline they build directly unblocks AI agent capabilities. The KAI copilot is live in production and evolving towards agentic AI — autonomous agents that take actions, orchestrate workflows, and operate across systems. This role provides the data foundation that makes agentic capabilities possible, • Event streaming architecture — opportunity to design and implement a Kafka‐based event backbone, shaping the platform’s real‐time data architecture, • Manufacturing AI — opportunity to work at the intersection of industrial operations and generative AI, a domain with massive untapped potential. Rich, real‐world data: quality inspections, KPIs, maintenance records, safety observations, process parameters across global manufacturing sites, • Small team, high autonomy — the Innovation Hub operates with startup‐level autonomy inside a funded, growing company, • Leadership trajectory — the data function is critical to the platform and will grow. As an early hire, there is an open career path that will grow with the function — earned, not guaranteed

Data Architect (DV) £Up to £100,000 GBP Transport Allowance Onsite WORKING Location: London; Manchester; Bristol, Manchester, North West - United Kingdom Type: Permanent The Role - Data Architect (DV Cleared) Join a consultancy recognised as a UK Great Place to Work year after year - a distinction that reflects its commitment to inclusion, technical excellence, and delivering transformative outcomes across complex, high-impact programmes. Our client is a globally respected digital, data and technology consultancy, combining strategy, innovation, and advanced engineering to solve some of the most challenging business problems. With over 4,000 experts across sectors including health, government, defence, financial services, and transport, the client delivers end-to-end data and AI transformations at scale. As a Data Architect , you will define and drive the blueprint for complex data platforms, helping clients translate strategic business needs into scalable, resilient, and secure solutions. You will work across cloud and multi-platform architectures, ensuring data governance, security, observability, and cost efficiency are embedded into every design. The Data Architect role is based in a hybrid model, with a minimum of two days per week in the office or on client site, aligned to programme requirements. Key Responsibilities - Data Architect As a Data Architect , you will: Define end-to-end data architecture for complex programmes, including ingestion, orchestration, governance, security, cost-optimisation, and observability Architect and implement multi-cloud, data lake, and data warehouse platforms Design scalable data pipelines, integration workflows, and analytics solutions Apply ML/AI frameworks, semantic models, and BI/visualisation tools to solve client challenges Operate as a strategic and technical leader across client engagements, guiding engineering teams and shaping delivery Translate business requirements into technical solutions that are secure, resilient, and high-performing Collaborate with cross-disciplinary teams, mentoring junior colleagues and championing best practice Contribute to business growth through bid support, opportunity identification, and thought leadership Establish architectural vision and ensure adherence to delivery methodologies across projects The Data Architect will operate at the intersection of strategy, technology, and client delivery, ensuring that data solutions are both innovative and operationally robust. Key Requirements You must hold Active DV Clearance (UK Developed Vetting) Proven experience as a Data Architect leading complex data and AI transformations Hands-on experience designing scalable, multi-cloud data platforms Strong understanding of data architecture methodologies, governance, and security best practices Proficiency with cloud platforms (AWS, Azure, GCP) and data technologies such as Snowflake, Databricks, or equivalent Experience with programming/scripting, data integration, ETL pipelines, and orchestration Knowledge of ML/AI frameworks, BI/analytics platforms, and semantic data modelling Strong client-facing skills with the ability to translate business needs into technical solutions Leadership experience mentoring teams, promoting best practice, and driving delivery excellence Analytical thinking and problem-solving skills in complex, multi-stakeholder environments Even if you don't meet every requirement, applications are encouraged - the client hires across multiple levels within the Data Architect capability. You Will Gain Exposure With Large-scale, multi-cloud data and AI transformation programmes Diverse projects across public and private sector clients Cross-disciplinary collaboration with strategists, engineers, designers, and technologists Architecting resilient, secure, and scalable platforms using the latest tools and technologies Structured learning budgets, certifications, and continuous professional development A collaborative, inclusive, and supportive technical community A clearly defined technical career track for ambitious Data Architects Why Join? Join a consultancy consistently recognised as a top employer in the UK Work as a Data Architect shaping strategic data platforms and AI solutions Hybrid working model with flexibility aligned to client needs Access to private healthcare, generous pension, and performance bonus Share ownership opportunities Strong commitment to inclusion, equality, and diverse career progression Operate at the intersection of technical authority, client impact, and strategic leadership This Data Architect opportunity offers the chance to influence large-scale data and AI transformations while developing deep technical expertise within a consultancy that combines engineering rigour with purpose-led, high-impact work. Interested? Apply Now! Or reach out directly to Aaron O'Neill | LinkedIn Reference: AON/AMC/PGDataArchitect aaonc272c101-f45c-4783-b4a0-50ad222b87c0

DevOps Engineer Bristol (Hybrid – 3 days per week) £60k-£70k ClimateTech Want to build secure, scalable infrastructure while working on meaningful climate tech? At Bohr, the platforms you support help reduce methane emissions across Europe’s gas networks! The Company Bohr exists to decarbonise energy through innovation. Through their methane emissions division, Tectrac, they combine mobile leak detection technology with cloud platforms, analytics, and GIS-led insight. Their systems help utilities detect, prioritise, and repair methane leaks faster, cutting emissions and improving safety across the UK and Europe. The Role We’re looking for a Dev(Sec)Ops Engineer to take ownership of their cloud infrastructure, deployment pipelines, and security practices across their digital platforms. You’ll work closely with engineers to ensure systems are reliable, scalable, and secure by design. This is a hands-on role where you’ll be responsible for Infrastructure as Code, CI/CD pipelines, and embedding security best practices across the development lifecycle. You’ll also play a key role in improving observability, automating processes, and supporting the team in maintaining high standards across performance, compliance, and resilience. What We’re Looking For We’re looking for someone with a strong foundation in DevOps or platform engineering, a security-first mindset, and an interest in working on impactful, climate-focused technology. Essential: • Experience in DevOps, Platform Engineering, or SRE roles, • Experience with Infrastructure as Code (Terraform or OpenTofu), • Cloud experience (Azure preferred, others considered), • Experience with CI/CD pipelines (e.g. GitHub Actions), • Understanding of cloud security principles and best practices, • Experience with automation and scripting, • Familiarity with monitoring, logging, and observability tooling, • Experience working with external vendors or third-party tools, • Strong communication skills and collaborative mindset Desirable: • Experience with security/compliance tooling (e.g. Vanta), • Experience implementing security controls in cloud environments, • Familiarity with containers or orchestration (Docker, Kubernetes), • Exposure to startup or scale-up environments, • Interest in DevSecOps practices and continuous improvement Why Join Bohr? At Bohr, you won’t be working on abstract systems. The infrastructure and platforms you help build directly support methane reduction, network safety, and net zero goals across Europe. You’ll also get: • Hybrid working with flexibility, based in our Bristol office, • Salary up to £70,000 (BOE), • Pension contributions, • 25 days holiday plus 8 bank holidays, • Participation in our EMI share scheme If you’re a DevOps engineer looking to step into a more security-focused role in an impact-driven environment, this is a great opportunity to do exactly that.

UK Government role — candidates must be eligible for security clearance. We are seeking an experienced Site Reliability Engineer with strong Linux troubleshooting skills and deep knowledge of virtual cloud networks and access technologies. The ideal candidate will have proven experience resolving complex issues across large-scale network infrastructure and cloud services in real time. Responsibilities include diagnosing and resolving production incidents, writing Python and Bash scripts on the fly to support live troubleshooting and automation, and maintaining operational reliability across cloud networking environments. Candidates should have hands-on expertise with remote access technologies such as FastConnect, IPsec, and BGP for secure and scalable route distribution. A strong understanding of Linux system processes, memory utilisation, disk and log management, network functionality, containerisation, and the TCP/IP stack is essential. The role involves triaging and resolving Severity 1 and 2 incidents using logs, metrics, and CLI tools under pressure, including failed changes or system and process failures that directly impact customers in a 24/7 operational environment. Responsibilities • Work with the Virtual Networking team to share full-stack ownership of a collection of services and technology areas, providing operational support as part of an on-call rotation. Understand the end-to-end configuration, technical dependencies, and overall behavioural characteristics of production services. Take responsibility for the delivery of the mission-critical stack with a strong focus on security, resiliency, scalability, and performance., • Hold authority for end-to-end performance and operability. Partner with global development teams to define and implement improvements in service architecture. Clearly articulate the technical characteristics of services and technology areas, guiding development teams to engineer and deliver premier capabilities within the Oracle Cloud service portfolio., • Develop and communicate a clear understanding of the scale, capacity, security, and performance attributes and requirements of the service and technology stack. Demonstrate a solid grasp of automation and orchestration principles., • Act as the ultimate escalation point for complex or critical issues that have not yet been documented as Standard Operating Procedures (SOPs). Apply a deep understanding of service topologies and their dependencies to troubleshoot issues and define mitigations. Understand and explain the impact of product architecture decisions on distributed systems., • Exhibit professional curiosity and a desire to develop a deep technical understanding of services and technologies., • Ensure high quality, accurate and timely technical documentation of incidents, problems, changes, and standard operating procedures is maintained using tools such as Jira and Confluence, • Work is non-routine and highly complex, involving the application of advanced technical and business skills within the Virtual Networking specialisation of Oracle Cloud Infrastructure (OCI). Qualifications • Strong understanding of virtual network architecture, security, and automation, • Understanding of TCP/IP stack and routing concepts in Linux systems and networking environments. IPSEC, VPNs and BGP specifically., • Experience with containerisation technologies and orchestration platforms., • Solid understanding of Virtual Cloud Networks (VCNs) in public cloud environments., • Experience with CI/CD systems and release automation tools., • Experience in scripting languages such as Python or Shell., • Familiarity with infrastructure automation tools such as Terraform and Chef., • Possess leadership experience to ensure appropriate changes, upgrades, and enhancements are made based on the technical analysis., • Must support network segmentation (e.g., security lists, network security groups, or firewalls)., • Deep Understanding of manipulating telemetry data (traffic flows, health status) using Grafana dashboards and MQL., • Experience with major public cloud providers (e.g., Oracle Cloud Infrastructure OCI, or equivalent)., • Experience using Jira and Confluence for incident tracking, knowledge management, and ongoing technical documentatio

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).

Profile 29 recruitment keywords: Site Reliability Engineer Site Reliability Engineering, DevOps Kubernetes container orchestration Red Hat OpenShift Terraform Amazon Web Services AWS CI/CD Bash Python monitoring observability cloud architecture London hybrid remote AI artificial intelligence securit

A technology-driven company in the UK is seeking an experienced Bid Manager to lead bid activities and proposals from start to finish.The ideal candidate will have strong leadership and communication skills, a background in competitive bid management, and the ability to engage with stakeholders effe

Senior Cloud Platform Architect - Contract - Outside IR/35 Role Overview We are looking for a Senior Cloud Platform Architect to help define and scale a cloud-native platform environment. The role sits at the architectural level, shaping how infrastructure and applications are designed, deployed, and operated across AWS. This is not an SAP/BTP-first role - candidates should come from a hyperscaler cloud background, with SAP exposure considered a bonus. Key Responsibilities • Define end-to-end cloud platform architecture on AWS, • Design and govern Infrastructure-as-Code approaches (Terraform, Helm), • Architect Kubernetes-based environments and container deployment strategies, • Embed Site Reliability Engineering (SRE) principles across the platform, • Define best practices for:, • Deployment workflows (e.g. blue/green deployments), • Monitoring, alerting, and reliability, • Scalable and resilient infrastructure, • Translate high-level business and technical requirements into architectural designs, • Work closely with platform engineering teams responsible for execution, • Proven experience as a Cloud / Platform Architect in AWS environments, • Strong understanding of:, • Infrastructure-as-Code (Terraform essential), • Kubernetes and container orchestration, • Helm and deployment tooling, • Experience with platform engineering and cloud-native architecture patterns, • Strong knowledge of Site Reliability Engineering (SRE) concepts, • Ability to design end-to-end architecture lifecycle:, • From initial request ? design ? deployment ? monitoring ? optimisation, • Exposure to SAP landscapes or SAP BTP, • Experience working in SaaS or product-led environments, • Understanding of 'opinionated platforms' (e.g. abstractions over hyperscalers like BTP) JBRP1_UKTJ

Bristol An exciting opportunity for a passionate HPC Architect to join a unique, multi-national Information Management function. Ideal candidates should be committed to the future of software defined data centres and open source technologies and have the dedication in supporting our engineering community in a dynamic, fast paced development environment. Salary: Up to £75,000 depending on experience Dynamic (hybrid) working: 2-3 days per week on-site due to workload classification Security Clearance This role will require DV Clearance. Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team. What we can offer you: Company Bonus: Bonus of up to 21% of base salary Pension: maximum total (employer and employee) contribution of up to 14% Flexible working: We welcome applicants who are looking for flexible working arrangements Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments Facilities: Fantastic site facilities including subsidised meals, free car parking and much more... Healthcare Cash Plan: The Healthcare Cash Plan benefit provides the option to claim cash back on everyday healthcare expenses such as optical, dental, health and wellbeing and moreThe opportunity: We are seeking a forward thinking HPC Architect with expertise in storage and infrastructure to define the long-term future roadmap of HPC environments within MBDA. You will ensure alignment with business objectives in collaboration with our business areas. As a HPC Architect you will be responsible for building scalable and high-throughput infrastructure. You will manage and maintain HPC environments including compute nodes, storage and interconnects. The role involves close collaboration within your team and wider stakeholders across the organisation. You will also engage with wider multi-national and multi-cultured teams to drive capability development cross functionally. Become part of a unique, well-respected team of dedicated people that have been recognised within our company for its professionalism, dedication and flexibility. Having the opportunity to work both nationally and internationally, broaden your horizons by embracing the rich cultural diversity of our company. Partner with both engineers within MBDA and HPC vendors to ensure HPC services are meeting evolving business needs. Be part of an organisation with a values-led culture that is committed to investing in its workforce with a personal development programme.What we're looking for from you: Key Responsibilities Architecture & Strategy Define the long-term HPC architecture roadmap aligned with organisational goals Evaluate and select technologies across compute, storage, networking, and cloud HPC Establish standards, reference architectures, and best practices System Design & Engineering Oversight Architect large-scale HPC clusters, including CPU, GPU, and accelerator-based systems Design high-performance networking (InfiniBand, RDMA, high-speed Ethernet) Define storage architecture (parallel file systems, object storage, tiered storage) Provide technical leadership and oversight to HPC engineering and operations teams Performance & Scalability Ensure systems are designed for optimal throughput, latency, and scalability Lead performance benchmarking, capacity planning, and workload modelling Identify and eliminate architectural bottlenecks Workload & Software Ecosystem Define strategies for workload orchestration (SLURM, Kubernetes for HPC, etc.) Guide software stack design (MPI, CUDA, compilers, libraries, containers) Ensure reproducibility, portability, and performance of workloads Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom. We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity, Disability and more... We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process. Follow us on LinkedIn (MBDA), X (@MBDA_UK), Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information. #LI-RM1

Bristol An exciting opportunity for a passionate Cloud Architect to join a unique, multi-national Information Management function. Ideal candidates should be committed to the future of software defined data centres and open source technologies and have the dedication in supporting our engineering community in a dynamic, fast paced development environment. Salary: Up to £74,000 depending on experience Dynamic (hybrid) working: 1-2 days per week on-site due to workload classification Security Clearance British Citizen only. This role will require DV Clearance. Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team. What we can offer you: Company Bonus: Bonus of up to 21% of base salary Pension: maximum total (employer and employee) contribution of up to 14% Flexible working: We welcome applicants who are looking for flexible working arrangements Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments Facilities: Fantastic site facilities including subsidised meals, free car parking and much more... Healthcare Cash Plan: The Healthcare Cash Plan benefit provides the option to claim cash back on everyday healthcare expenses such as optical, dental, health and wellbeing and moreThe opportunity: We are seeking an experienced OpenStack & OpenShift Architect to design, implement, and optimise on premisescloud and container platforms. The ideal candidate will have deep expertise in cloud infrastructure (OpenStack) and container orchestration (Red Hat OpenShift/Kubernetes), with a strong focus on scalability, automation, and high availability. You will play a key role in defining cloud strategy, leading platform architecture, and guiding engineering teams in delivering robust, secure, and performant environments. Become part of a unique, well-respected team of dedicated people that have been recognised within our company for its professionalism, dedication and flexibility. Having the opportunity to work both nationally and internationally, broaden your horizons by embracing the rich cultural diversity of our company. Partner with both engineers within MBDA and suppliers to ensure services are meeting evolving business needs. Be part of an organisation with a values-led culture that is committed to investing in its workforce with a personal development programme.What we're looking for from you: Key Responsibilities Design and architect OpenStack-based private cloud solutions (RHOSO) Lead the deployment and management of Red Hat OpenShift clusters Define and implement cloud-native architecture patterns Integrate OpenStack with container platforms (OpenShift/Kubernetes) Drive automation using Infrastructure as Code (IaC) tools Ensure high availability, scalability, and disaster recovery strategies Establish security best practices across infrastructure and platforms Collaborate with DevOps, security, and application teams Provide technical leadership, mentoring, and governance Evaluate and recommend new tools, technologies, and improvementsRequired Skills & Experience Cloud & Virtualisation Strong experience with OpenStack (Nova, Neutron, Cinder, Glance, Keystone) Hands-on experience designing and deploying private cloud environments Understanding of multi-region / multi-tenant architecturesContainer Platforms Deep expertise in Red Hat OpenShift (OCP 4.x) Strong knowledge of Kubernetes architecture and components Experience with container lifecycle managementAutomation & DevOps Proficiency with Ansible, Terraform, or similar IaC tools Experience with CI/CD pipelines (Jenkins, GitLab CI, ArgoCD) Scripting skills (Python, Bash, or similar)Storage Experience with Ceph or other distributed storage systems Understanding of block, object, and file storage conceptsPreferred Qualifications but not necessary Red Hat certifications (e.g., RHCA, RHCE, OpenShift certification) Experience with hybrid or multi-cloud environments Familiarity with service mesh (Istio) and observability tools (Prometheus, Grafana) Exposure to GitOps practicesOur company: Peace is not a given, Freedom is not a given, Sovereignty is not a given MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom. We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity, Disability and more... We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process. Follow us on LinkedIn (MBDA), X (@MBDA_UK), Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information. #LI-RM1

SRT Marine Systems plc (SRT) is a market leader in the domain of international marine surveillance technology and systems. We are a respected, established, and an ambitious multi-national company headquartered in the UK with a global customer base. The company has a worldwide impact in the marine sector by leading the next generation of maritime domain awareness technologies "MDA", products, and systems that significantly enhance security, safety, environmental protection, and sustainability. Our customers are global and range from the largest national coast guards to individual vessel owners. SRT is an exciting company where high-quality results are rewarded. We are ambitious and constantly seek to innovate in order to deliver better products and services to our customers. We strive to make SRT a rewarding and challenging place to work, where talented, hard-working individuals have the opportunity to make a real impact across the marine industry. About the role of Head of Network and Infrastructure You as the Head of Network and Infrastructure will lead a team of Network, Infrastructure, and DevOps Engineers responsible for designing and implementing sophisticated on‑premise systems deployed directly into customer environments. The role includes ownership of high‑ and low‑level architecture, requirements clarification, and the evolution of both customer‑facing systems and internal development, testing, and staging environments. What You'll Be Doing as our Head of Network and Infrastructure - not exhaustive: Provide leadership, direction, and performance management for the Network & Infrastructure team Produce high‑quality, detailed high‑level system designs, considering field conditions, civil works, and existing technologies Define and refine technical requirements in collaboration with Sales and Project Management Develop the strategic roadmap for network and infrastructure evolution, ensuring system reliability and resilience for mission‑critical products Oversee the strategy and operation of internal development and testing environments to ensure reliability, flexibility, and appropriate capacity Ensure all internal environments remain fully functional and meet business needs What You'll Bring to the role of Head of Network and Infrastructure Extensive technical expertise with at least 15 years in IT and 5 years in a leadership role Strong experience designing and implementing secure, resilient distributed IP networks Proven capability in building IT infrastructure solutions, including virtualisation and containerisation Ability to lead technical teams and produce high‑quality documentation and architectural diagrams Degree in Computer Science, Engineering, Mathematics, or equivalent Willingness to travel occasionally for customer meetings and presentations Technical Competencies required in the role of Head of Network and Infrastructure The role requires a solid understanding of the following areas to provide effective technical leadership: Network Engineering WAN, LAN, mobile networks Multi‑vendor operating systems Network design through to switch‑level configuration Compute & Systems Server and compute architecture OS implementation and low‑level administration Storage engineering, including provisioning, clustering, and replication Virtualisation & Containerisation Multi‑vendor hypervisors and virtual networking Engineering virtualised operating systems Container architecture, orchestration, networking, and automated deployment Additional Disciplines Voice over IP Microsoft enterprise architecture (e.g., AD, policies) Video wall design VDI design, including thin‑client infrastructure Why join us here at SRT Work on mission-critical maritime surveillance systems used worldwide Be part of an ambitious, innovative, and supportive team Make a direct impact on global maritime safety and sustainability Enjoy flexible hybrid working Competitive salary and benefits, including: Matched pension contributions up to 5% 25 days annual leave (rising to 28 with service) Private health care Development and training programmes SRT Marine Systems plc is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and welcome applications from all backgrounds

Site Reliability Engineer | Bristol, Hybrid (3 days onsite, 2 from home) | Up to £95K & Great Benefits Ready to take on high-impact engineering challenges that actually matter? Want to work on mission-critical systems used across the UK’s most high-profile government organisations? This is your chance to join TwinStream—a team of elite engineers who built their careers cracking complex cross-domain problems, and then built a company to do it even better. We’re growing fast. Demand for our services is skyrocketing. And now we’re looking for a Site Reliability Engineer who’s ready to step into a role with real ownership, real influence, and real opportunities to innovate. Why You’ll Love This Role As our new SRE, you’ll be right at the heart of our evolving cloud and on-prem platforms. This isn’t a “keep the lights on” job—it’s a role where you’ll shape infrastructure strategy, partner closely with software and systems teams, and push performance, reliability, and automation to the next level. You'll help us evolve observability, enhance delivery pipelines, eliminate toil, drive reliability metrics, and make smart technical decisions that keep our systems robust as we scale. If you love solving gnarly problems, improving how things work, and innovating at speed—this is the role for you. Key Responsibilities of the Site Reliability Engineer: Collaborating with Software Engineers to improve subsystem reliability and performance Partnering with System Administrators to automate toil and cut down alert noise Taking observability to the next level—find issues before they hit the business Supporting development environments to boost speed and quality Researching & evaluating tools to guide key buy-vs-build decisions Deepening your expertise across multiple technical and business domains Expanding your knowledge of diverse tech stacks and platforms What You Bring Modern configuration management tools (Ansible, Chef or similar) Terraform Docker containers & orchestration (Kubernetes, OpenShift, Docker Swarm) CI/CD tooling (Jenkins or similar) Monitoring/metrics stack (InfluxDB, Prometheus, Grafana) MQ messaging (RabbitMQ or other AMQP solutions) SQL & relational databases Linux administration & shell scripting Network security fundamentals Cloud hosting (ideally AWS: EC2, RDS, S3, Lambda) Bonus points for: Experience with Java, Go, Python or similar Knowledge of cross-domain principles & tech Service management experience Hands-on observability implementation Proven ability to reduce downtime with smart reliability metrics Why You’ll Love Working at TwinStream Competitive salary, £65k - £95k DOE 8% employer pension contribution Private medical healthcare (including dental & optical for the whole family) Flexible working culture Learning & development owned by YOU Electric vehicle salary-sacrifice scheme 28 days holiday + bank holidays Regular team events, plus Christmas & summer parties Life assurance & cycle-to-work scheme Security Clearance You’ll need to be eligible for SC and/or DV clearance. Any offer will be subject to successful security screening. Ready to engineer impact? Apply now and shape the future of secure, high-performance cross-domain systems

Engineered to Protect, that’s our promise, we protect what matters - our nations, our waters, our land, our cities, our people, our environment, our world. We’re seeking a Senior Infrastructure/DevOps Engineer who excels in automation, infrastructure as code, and improving software delivery processes. This role focuses on GitLab CI/CD, Windows image creation for physical or virtualized environments, and Terraform‑based infrastructure management. The Senior Infrastructure/DevOps Engineer will be based at our Bristol site. This role allows for flexible working, with office visits on an as-required basis. The salary for this role is up to £65k, depending on experience. What you'll be doing Manage the self-hosted Gitlab environment, including designing, maintaining, and optimizing GitLab CI/CD pipelines for build, test, and deployment workflows, along with software upgrades of the platform. Maintain code and Docker repositories. Identify where to utilize Terraform for automation and to ensure consistency and repeatability, and implement where appropriate. Build secure-by-design Windows images for products across our Maritime and Underwater Battlespace departments, utilizing appropriate technologies to ensure security, consistency, and reliability. Understand and apply DevSecOps principles, working with the Infrastructure Lead and Information Assurance & Security Lead to meet customer security requirements.About our company At SEA, we develop and deliver advanced solutions to make our world safer, cleaner and more efficient. We provide state-of-the-art applications for naval ship and fleet protection, and undersea surveillance systems. In-service across the globe, our systems deliver a rapid response to threats and system effectiveness and interoperation. Our systems support an ever-growing number of navies across the world, and we continue to bolster our already specialist, on-the-ground knowledge of key overseas markets. What we offer At our core, we encourage innovation, flexibility and out-of-the-box thinking to solve problems, so we’re always looking for talented, flexible, and creative people to bring their best to SEA. In return we offer generous rewards, a fantastic work/life balance, and excellent career and training opportunities for everyone who joins. Have a look at the benefits we offer: Work life balance Hybrid/flexible working arrangements 25 days’ annual leave, plus buy and sell Up to 16 days flexi leave accrual Half day Fridays Reservists in the Armed Forces receive special paid leaveFamily & wellbeing Private medical health insurance & Employee Assistance Program All Staff Bonus Group Pension Plan of up to 7% employer contribution Cycle to work scheme Wellbeing Centre Sports & Social activities Employee Discounts portal - online and in-store discounts, travel savings Life assurance policy Publication and recruitment bonus rewards Development opportunities, including LinkedIn learning Facilities & resources Electric vehicle charging points at all sites Private seated lunch areas Onsite bistro (Barnstaple office) and free hot and cold beverages Onsite showers and toiletries provision Free onsite parking The skills you need Strong hands on experience with GitLab CI/CD Demonstrated experience creating and maintaining Windows images Experience with containerisation (Docker) and orchestration (Kubernetes) Join us and be part of something smaller - with 500 people in the UK and Canada - doing something bigger: protecting what matters. If you’d like to know more, please give Dave from our Talent Acquisition Team a call on (phone number removed). Or reach out to us on (url removed)

Orchestration Engineer + 6 month initial contract - extensions likely+ Hybrid - occasional travel to Corsham+ SC Cleared role+Inside IR35 Key Skills:+ Orchestration+ AWS - Platform X+ VMWare Description:Responsible for the design and implementation of networked computer systems; plans; installs and

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