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New Permanent Opportunity available with a leading National Security Organisation for an eDV cleared Data Engineer in Manchester • Manchester location – hybrid working when possible, • Must hold active Enhanced DV Clearance (West), • Competitive Salary DOE - 6% bonus, 25 days holiday, clearance bonus, • Experience in Data Pipelines, ETL processing, Data Integration, Apache, SQL/NoSQL Who Are We? Our client is a trusted and growing supplier to the National Security sector, delivering mission-critical solutions that help keep the nation safe, secure, and prosperous. You’ll work with cutting-edge technologies including AI/Data Science, Cyber, Cloud, DevOps/SRE, and Platform Engineering. They have long-term contracts secured across the latest customer framework and are set for significant growth. What will the Data Engineer be Doing? You will develop mission-critical data solutions and manage pipelines that transform diverse data sources into valuable insights for our client’s National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: • Design and develop data pipelines, including ingestion, orchestration, and ETL processing (e.g., NiFi)., • Ensure data consistency, quality, and security across all processes., • Create and maintain database schemas and data models., • Integrate and enrich data from diverse sources, maintaining data integrity., • Maintain and enhance existing architectural components such as Data Ingest and Data Stores., • Troubleshoot and diagnose issues within integrated (enriched) data systems., • Collaborate with the scrum team to decompose user requirements into epics and stories., • Write clean, secure, and reusable code following a test-driven development approach., • Monitor system performance and implement updates to maintain optimal operation. The Data Engineer Should Have: • Active eDV clearance (West), • Willingness to work full-time on-site in Manchester when required. Required technical experience in the following: • Apache Kafka, • Apache NiFI, • SQL and noSQL databases (e.g. MongoDB), • ETL processing languages such as Groovy, Python or Java To be Considered: Please either apply by clicking online or emailing me directly to . For further information please call me on 0161 416 6800 / 07719065951 - I can make myself available outside of normal working hours to suit from 7am until 10pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to follow me on Twitter @SearchableHenry or connect with me on LinkedIn, just search Henry Clay-Davies (searchability). I look forward to hearing from you. KEY SKILLS: DATA ENGINEER / DATA ENGINEERING / DEFENCE / NATIONAL SECURITY / DATA STRATEGY / DATA PIPELINES / DATA GOVERNANCE / SQL / NOSQL / APACHE / NIFI / KAFKA / ETL / MANCHESTER / DV / SECURITY CLEARED / DV CLEARANCE

Job Description: GCP Platform Engineer / SRE 1. In‑Scope Technologies / Products • GCP Cloud, • GCP API Management (Apigee) – Infrastructure, • GCP Networking, • GCP Cloud Armor, • GCP Load Balancer, • GCP Kubernetes Service (GKE), • GCP Storage, • HashiCorp Terraform, • HashiCorp Vault, • Harness, • Containers, • Backstage 2. Skillsets Required Cloud Platform Engineering • Strong proficiency with Terraform (minimum)., • Deep understanding of GCP API Management (Apigee) infrastructure and API Gateway solutions., • Ability to implement actionable observability solutions., • Performance tuning and automation to reduce toil., • Proficiency in Bash, PowerShell, or Python., • GCP certifications are desirable. 3. SRE Role – Additional Requirements • Relevant GCP certifications aligned to the service., • Strong DevOps background with experience in IaC and CI/CD pipelines (Terraform, Jenkins)., • Ability to quickly understand, update, and write code (Python, Groovy, Bash, PowerShell)., • Demonstrable expertise in modular, maintainable IaC design., • Strong understanding of cloud security, networking, and APIs., • Excellent troubleshooting and problem‑solving capability., • Hands‑on experience with observability tooling (including Observability‑as‑Code and SLO‑based Dynatrace monitoring)., • Strong understanding of source‑control practices and collaborative engineering., • Experience developing and administering Kubernetes clusters in production., • Strong focus on automation and toil reduction., • Good knowledge of incident management and issue resolution processes., • Demonstrated passion for continuous learning and engineering excellence. 4. Scope of Services As Infrastructure Engineers within the Integration GCP team, responsibilities include: Design, Build & Operate • Work closely with architecture and feature teams to evolve the cloud roadmap and platform products., • Mentor team members and promote a culture of continuous learning. 5. SRE Role – Additional Service Responsibilities • Hands‑on engineering ownership of IaC and CI/CD pipeline‑based products and services., • Respond to change requests, implement enhancements, and improve reliability and customer experience., • Observe, investigate, and resolve service issues using an engineering mindset – resolving issues through code, automation, and root‑cause elimination., • Implement automation to remove manual toil by leveraging existing cloud tooling or integrating new technologies.

About Ryft Ryft is a regulated payment facilitator and authorised payment institution building the infrastructure layer for modern commerce platforms. We enable marketplaces, SaaS platforms and multi-party ecosystems to embed and monetise payments natively. Our technology handles onboarding, compliance, orchestration, split payments and revenue sharing allowing our partners to focus on growth while we manage complexity. We’ve recently closed our Series A and are entering the next phase of scale: deepening our product moat, expanding into new verticals and building a category-defining embedded payments platform. About The Role This role is a great opportunity for exposure to a fast-paced, groundbreaking, democratic scaleup that continuously pushes boundaries. The business development team is the backbone of our business, so we are looking for bright, motivated, organised self-starters to join us and further develop their sales career. As an Account Executive you'll be responsible for building and nurturing relationships with key stakeholders, pitching the benefits of Ryft and negotiating contracts. In this role you’ll be expected to find and approach suitable new clients for Ryft and manage those clients through the sales cycle all the way to closed deals. You’ll work together with our one of our Senior Account Executives to hit and exceed your own personal targets, while contributing to the business’s wider objectives. You will... • Prospect from a book of ICP leads while also identifying and qualifying your own potential clients, • Build relationships with decision makers, understand customer needs, deliver sales presentations, negotiate contracts, and close deals, • Communicate with and influence C-suite level executives to use Ryft as their payment partner, • Understand client needs and propose solutions based on those needs, • Support the commercial team in the execution of sales initiatives What we are looking for Experience: • 12 months minimum sales experience or similar, • Experience in a B2B sales role selling a complex product with a longer sales cycle (3 months +), • Experience in a role where pipeline generation has been a requirement, • Experience prospecting, developing relationships and negotiating deals through to close, • Experience using CRM systems to track progress and work with leadership to create a sales growth plan Skills that will help you succeed: • Self-driven, • Strong communication skills, • The ability to persuasively demonstrate product and industry knowledge to clients, • The ability to show initiative and bring your own ideas, • A creative approach to sales and the sales cycle, • Strong commercial acumen and a desire to find new ways to grow the business, • Comfortable having relative autonomy over how you achieve your sales targets Please note that these are not all absolute requirements. We value attitude and cultural fit as much as experience, so if you don’t match all the above but you are interested in the role, please don’t hesitate to apply.

Location: Primarily remote, with one onsite visit to Manchester per month Contract Type: 12-Month Fixed Term Contract (FTC), with a view to go permanent Employer: Amber Labs – Digital Consultancy Clearance: Active SC clearance advantageous, however SC Eligibility accepted. Start Date: April About Amber Labs Amber Labs is a forward-thinking digital consultancy delivering innovative cloud, data, and DevOps solutions across the UK public sector. We specialise in helping organisations achieve digital transformation at pace while maintaining the highest security and governance standards. We are seeking a Lead DevOps Engineer well-versed with Azure, with experience leading DevOps teams, as well as previous experience working within centralised government capacities. This is an excellent opportunity to work on highly impactful projects while enjoying a flexible, collaborative environment. Role Overview As a Lead, you’re expected to operate at both a technical leadership level and a hands-on architecture/automation level. You will work within an Agile team, focusing on scalable, secure, and resilient cloud architectures that support modern digital services. Key Responsibilities • You’ll define and enforce deployment pipelines using Azure DevOps and GitHub Actions by building multi-stage pipelines (build, test, security scan, deploy), implementing blue/green or canary deployments and standardizing pipelines across teams., • Full automation of infrastructure using Terraform and Azure Resource Manager (ARM) to build reusable modules and templates to enforce consistency across environments., • Develop and maintain CI/CD pipelines to enable continuous integration and delivery, • Automate system deployments, configuration, and monitoring for reliability and performance, • Manage and optimise containerised applications using Docker and Kubernetes (standardising Docker usage)., • Collaborate with developers, security engineers, and architects to deliver high-quality solutions, • For Senior Engineers: Provide technical leadership, mentor team members, and contribute to solution design decisions Skills & Experience Required • Active SC clearance preferred, but SC Eligibility accepted (applications without clearance cannot be considered), • Proven experience with Azure, AWS core services (EC2, S3, VPC, IAM, Lambda, ECS/EKS), • Expertise in Infrastructure as Code (Terraform, CloudFormation), • Strong knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab CI), • Experience with containerisation and orchestration (Docker, Kubernetes), • Scripting ability with Python or Bash, • Version control experience (Git) Apply Now and help shape the future of UK digital services with Amber Labs.

VMware Engineer\n\n£525 a day (Inside IR35)\n\nManchester (2 days onsite)\n\n4 months\n\nWe are seeking a Senior VMware Engineer (Contractor) with hands-on experience provisioning and managing Linux and Windows virtual machines in enterprise VMware environments. This is a contract engagement supporting a higher education institution's virtual infrastructure modernisation and operational support initiatives.The contractor will provide advanced engineering expertise across VMware Cloud Foundation (VCF), VMware ESXi, VMware vSphere, and VMware NSX-T, ensuring stability, scalability, and performance of mission-critical academic and research systems.\n\nScope of Work\n\nProvision, configure, and manage Linux and Windows VMs in enterprise clusters.\nDeploy and manage workloads within VMware Cloud Foundation environments.\nInstall, configure, patch, and upgrade VMware ESXi hosts.\nAdminister and optimise VMware vSphere clusters, including HA, DRS, and vMotion.\nDesign and manage network virtualisation using VMware NSX-T.\nPerform VM lifecycle management (build, template creation, cloning, migration, decommissioning)\nConduct performance monitoring, capacity planning, and resource optimisation.\nSupport storage integration (SAN/NAS/vSAN) and ensure optimal IOPS performance.\nImplement and support backup, replication, and disaster recovery solutions.\nProvide advanced troubleshooting and root cause analysis.\nDocument architecture, configurations, and operational procedures\nCollaborate with infrastructure, security, networking, and research computing teams.Deliverables\n\nFully provisioned and optimised virtual machine environments.\nUpdated and documented VMware architecture diagrams and configurations.\nPerformance optimisation and capacity planning reports.·\nResolved infrastructure incidents within agreed SLAs\nKnowledge transfer documentation and handover sessions (if required at contract completion)Required Experience & Skills\n\nVMware engineering experience.\nProven track record provisioning Linux (RHEL, Ubuntu, etc.) and Windows Server VMs\nStrong hands-on expertise in VCF, ESXi, vSphere, and NSX-T.\nExperience in higher education, research institutions, or multi-tenant environments preferred.\nSolid understanding of storage, networking, and security integration\nAutomation and scripting skills (PowerCLI, PowerShell, Bash, Python)\nExperience with vCenter administration and cluster design\nStrong troubleshooting and performance tuning capabilities.\nVMware certifications (VCP-DCV, VCAP)\nExperience with automation/orchestration (VMware Aria/vRealise, Ansible)\nHybrid cloud experience (Azure, AWS, VMware Cloud).Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

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.

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.

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

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.

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!

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.

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

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

We are awaze, the largest managed vacation rentals and holiday resorts business in Europe, which brings together some of the continent’s most trusted travel brands, including cottages.com, Hoseasons and NOVASOL. With over 1.5 million bookings each year, we're proud to offer our guests a choice of over 100,000 properties in our portfolio, in 25 countries across Europe. Position: Software Engineer | Payments Team Here at awaze, we’re building the next generation of our tech and product platform powered by innovation, experimentation, and a sharp focus on conversion. Our mission is simple: deliver seamless web and mobile experiences for guests and owners across every brand in our group. And now we’re hiring engineers to help make it happen. Do you want to play a key role in shaping the future of travel? 🏡 What team will you be joining? Our Payments Team powers every transaction across our network, serving as the single source of truth for the entire business. You’ll be hands on designing and building essential services within our payments ecosystem, from transaction processing and scheduling to vouchers and discounting The roadmap is packed with exciting challenges, including payment orchestration, platform migration, and greenfield solutions that will redefine our payments and checkout experience. If you’re excited by complex systems, large-scale impact, and shaping the future of payments, this is the team to join. 🏡 What will your role be? Joining our engineering teams, you’ll join a culture which revolves around getting things done. We deliver with small, fully autonomous teams that have real ownership of their products using a cutting edge stack in a best-idea-wins meritocracy. We operate what we build – which means reliability is key and devops is part of every engineer’s job description. • Work as part of a back end focussed product team, you’ll be responsible for building innovative payment solutions to ensure we continue to deliver optimal experiences for our guests and owners., • Help shape the overall architecture and tech strategy for our Payments product journey using the right technology for the task, rather than allowing the technology to dictate the solution., • Contribute to driving best engineering practices such as CI/CD, TDD, cloud architectures and pair/mob programming., • Experiment (it’s encouraged), collaborate, learn and debate., • Be an active member of the engineering and wider tech community within Awaze. 🏡 Who are you? You’ll enjoy working in pairs & sometimes a mob, you thrive in an autonomous product engineering team and enjoy problems, we have many to solve. A passionate Software Engineer (Back End), you will offer experience/knowledge in a mixture of the following (we are not expecting you to know everything): • Significant experience using TypeScript & NodeJS, • Developing and deploying AWS services (e.g. EC2, Lambda, API Gateway, SQS, S3), • Building Microservices and APIs within an Event Driven Architecture environment, • Payments and/or checkout platforms experience (advantageous), • Experience building CI/CD pipelines, • Infra-as-code tools such as Terraform, Cloudformation, • Modern quality practices, such as pairing, TDD, BDD, • AI tooling - we've started using ChatGPT and Claude to enhance our daily engineering tasks. It would be great if you're already in this mindset to accelerate your coding, debugging, and documentation. 🏡 What will we offer you? Upon joining, we’ll set out your journey with us with a personalised competency framework and we’ll give you the freedom to inform the best way of working to get the job done and help us shape the culture of our international teams. We’ll also reward you with: • Annual Bonus Scheme, • 25 days holidays (plus the option to buy up to 5 additional days), • Holiday Discounts (18% to 20% discount across all AWAZE brands), • Pension contribution scheme, • Private healthcare, • Personal training allowance via Sunlight, • 35 hour working week, • Hybrid working (we work 2 days in our Manchester office every week, with 3 days working from home) 🏡 Get in touch, we'd love to chat: If you're interested in transforming the industry and reinventing how our technology powers everyday amazing holidays, please send your profile to and let's chat today.

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)

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

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.

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 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).

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.

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.

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).

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.

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

The role: This is more than a job - it's a mission. You will be part of a high-impact, collaborative environment, where we expect everyone to live the values and standards of the British Army. Every person in our team plays a critical role in delivering OMNIA's vision; designing, delivering, and transforming collective training so the British Army is ready to fight and win. You'll work in a matrix organisation and report operationally through OMNIA Training and functionally through the Cloud & Platform Lead. Ultimately, you'll work for the British Army, championing innovation, and helping shape the future of military collective training. Key Responsibilities: * Design, deploy, and support integrated system and application solutions across physical, virtual, and cloud environments through CI/CD pipelines * Work with engineering teams to translate operational and technical requirements into implementable system architectures and solution designs * Support the deployment, configuration, and integration of systems and applications within development and operational environments * Ensure system solutions meet performance, reliability, security, and interoperability requirements across platforms and environments * Act as the technical liaison between engineering teams and supply chain partners, ensuring technical specifications, standards, and integration requirements are clearly communicated and understood * Support supplier engagement by reviewing technical proposals, validating solution compatibility, and assisting with integration planning * Coordinate with engineering and supply chain teams to ensure delivered components and systems meet required technical and operational specifications * Support and conduct system testing, validation, and troubleshooting to ensure successful deployment and operational readiness * Collaborate with cross-functional teams including software engineers, network engineers, architects, and programme teams to support system delivery * Support the integration of third-party technologies and vendor solutions into the broader systems architecture * Contribute to the development and maintenance of technical documentation, including design documentation, integration guides, and deployment procedures * Maintain awareness of emerging technologies and tools that could enhance system performance, integration, or operational capability * Any other duties required to meet the needs of the programme Who we are looking for: We're after individuals who want to serve. You'll have a mission focus, and the enthusiasm and drive to 'get things done'. You'll want to work in collaboration with other defence training organisations, and the British Army. You won't let bureaucracy get in the way of what needs to be done, you'll learn lessons and share these lessons across the team. You won't necessarily have a military background, but you'll understand what it means to serve and to put the mission first. The OMNIA Systems Solutions Engineers will be responsible for responsible for the discovery, deployment and integration of a wide range of applications, bespoke technology and solutions in relations to cloud platforms and modelling & simulation for the Army Collective Training Service (ACTS). Responsible to the Cloud & Platform Lead, this position will be critical to the successful technology and interoperability of the entire solution. The position is suited to an all-round engineer who thrives on the challenge of tackling integration and deployment wide range of solutions across a broad spectrum of technologies, including simulation systems. This position requires a customer first mindset, strong stakeholder engagement skills, and the ability work in a multidisciplinary engineering team in a complex and evolving environment. Essential Skills and Experience: * Engineering background with a degree in a relevant discipline or equivalent professional experience * Proven experience designing, deploying, and supporting integrated systems and application solutions across hybrid environments (cloud and on-premise) * Strong understanding of systems integration principles across software, infrastructure, and networking layers. * Ability to translate operational and technical requirements into practical system architectures and deployment plans. * Experience supporting technical deployments within structured delivery environments (e.g. Agile or SAFe). * Strong analytical and problem-solving capability with experience diagnosing complex system issues * Understanding of system security principles and governance requirements * Experience designing and deploying containerised solutions using orchestration technologies (e.g. Docker, Kubernetes) * Experience implementing CI/CD pipelines and DevOps tooling (e.g. GitHub, ArgoCD, Helm, Maven, SonarQube, Quay or equivalent) * Experience using monitoring and observability platforms (e.g. Prometheus, Fluentd, ELK stack, Grafana) * Experience integrating and supporting database solutions (e.g. MongoDB, PostgreSQL, MSSQL) * Experience deploying and operating systems within cloud platforms such as Azure or AWS * Experience supporting system testing, validation, and troubleshooting during deployment and operational phases * Holds, or is eligible to obtain, UK Security Clearance (SC) Desirable Skills and Experience: * Experience working with Red Hat OpenShift and Ceph storage platforms * Programming experience (e.g. Python, JavaScript) * Experience working with event streaming and data pipeline technologies (e.g. Kafka, Apache NiFi, Apache Spark) * Experience delivering multi-system integration projects within defence, government, or highly regulated environments. * Experience implementing and configuring training simulation technologies across Live, Virtual, and Constructive (LVC) environments * Experience working with external suppliers and vendors to deliver integrated technical solutions, including reviewing technical documentation to ensure alignment with system/architecture requirements and standards * Experience supporting procurement or supply chain teams by translating technical specifications and integration requirements * Understanding of interoperability standards or integration frameworks used within enterprise or defence systems Benefits and Work Culture Benefits * Competitive salaries. * 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr) * Contributory Pension Scheme (up to 10.5% company contribution) * Company bonus scheme (discretionary). * 6 times salary 'Life Assurance' with pension. * Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others. * Enhanced sick pay. * Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave. * Car / Car allowance (dependant on grade/ role) * Private Medical Insurance (dependant on grade) Work Culture * 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements. * Early 1.30pm finish Friday, start your weekend early! * Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role. * A grownup flexible working culture that is output, not time spent at desk, focussed. More formal flexible working arrangements can also be requested and assessed subject to the role. Please enquire or highlight any request to our Talent Acquisition team to explore the flexible working possibilities. * Up to 5 paid days volunteering each year. JBRP1_UKTJ

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

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

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.

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.

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.

Security Engineer Location: Manchester (Hybrid) Day Rate: £552 per day (Inside IR35) Duration: 6 months Start Date: Immediate Role Overview We are seeking a Security Engineer to support Data Security Posture Management (DSPM), deploying and managing applications in containerized environments, and implementing data privacy and compliance controls aligned with GDPR. Key Responsibilities • Perform structured and unstructured data discovery and classification to support DSPM, • Deploy and maintain containerized applications using Kubernetes and Helm, • Implement data privacy and regulatory controls aligned with GDPR, • Develop automation scripts and integrate CI/CD workflows to streamline data security operationsRequired Skills & Experience, • Data Security Posture Management (DSPM) - sensitive data discovery and scanning across structured and unstructured datasets, • Container & Cloud Deployments - experience with Kubernetes orchestration and Helm for secure application deployments, • Data Protection & Risk Management - data classification, access governance, and security monitoring across cloud and on-prem environments, • Experience automating data security processes using scripting and CI/CD pipelines JBRP1_UKTJ

Site Reliability Engineer (Security Cleared) • Salary to £60k + Company Options Scheme Overview This company is a Workflow & AI Orchestration Specialist. They're on a mission to modernise how public sector organisations manage casework, derive insight from data and deliver citizen services. Theyre growing fast and looking for bright, dynamic people to help build their business. Role Theyre looking for a (Security Cleared) Site Reliability Engineer (SRE) to join their growing platform and delivery teams. Youll help design, build, and operate reliable, secure, and performant infrastructure that underpins critical public-sector services. Youll combine your background in DevOps, cloud engineering, and automation with a focus on reliability, observability, and scalability. Youll also work with event-driven technologies, identity and access management, and data platforms, ensuring our orchestration solutions are resilient, secure, and future-ready. This is an exciting opportunity for an engineer who thrives on solving complex infrastructure and automation challenges, automating everything, and shaping secure-by-design delivery environments. Key Responsibilities Design, deploy, and manage containerized workloads using Kubernetes and Red Hat OpenShift Provision and manage infrastructure using Terraform Build and operate scalable infrastructure in Amazon Web Services (AWS) Design, implement, and maintain robust CI/CD pipelines Improve system reliability, observability, performance, and security Implement monitoring, logging, and alerting solutions Troubleshoot production incidents and perform root cause analysis Collaborate with development teams to improve application resilience and deployment processes Required Skills & Experience Experience in Site Reliability Engineering, DevOps, or similar roles Strong hands-on experience with Kubernetes and container orchestration Experience working with Red Hat OpenShift in production environments Proficiency in infrastructure as code using Terraform Solid experience with Amazon Web Services (AWS) Experience designing and maintaining CI/CD pipelines NB: Please only apply if you already have UK Security Clearance (SC). Other Stuff NB: for non-UK Citizens; we cannot accept applications from anyone requiring sponsorship (now or in the future) for UK permanent employment you are utilising a work visa this must allow you to work in the UK unrestricted for at least the next 5 years. 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 security cleared security clearance SC JBRP1_UKTJ

A leading travel technology company in Manchester is seeking a Technical Product Manager to own the vision and roadmap for the end-to-end booking lifecycle across products. The role involves defining seamless multi-product orchestration and providing self-service enablement for product teams. Ideal

Design and implement scalable data platforms and pipelines using Apache Spark on Databricks. Build and manage Databricks Workflows for orchestration, scheduling, monitoring, and error handling. Strong experience in Databricks Data Platform for distributed data processing.

A leading telecommunications firm in Manchester seeks an Application Support Analyst to provide technical support for their new Payment Orchestration gateway.

Multi-Product Orchestration: Define the technical logic for the Connected Trip, ensuring cross-product triggers and updates remain seamless within a single traveler itinerary. Self-Service Enablement: Drive the delivery of technical guides and automated tools that empower product verticals teams to

Join Transaction Network Services (TNS) as an Application Support Analyst to provide technical application support and engineering for our new Payment Orchestration gateway platform. TNS is seeking an experienced support analyst with strong technical knowledge of payments systems, AWS, and database

Senior Data Engineer * Hybrid-working (Manchester + Home-based) * c£60,000 to £75,000 per year (DOE) * Plus an excellent company benefits package (including Private Healthcare, Bonuses, Professional Accreditations and Subscriptions, 25 days Annual Leave + Bank Holidays, etc.) The Opportunity: We are supporting a leading IT Consultancy operating at the forefront of digital services and transformation across the UK public sector are seeking an experienced Senior Data Engineer to play a key role in designing and delivering modern, scalable data platforms that support critical national services. Working within collaborative, multi-disciplinary teams, you will take ownership of end-to-end data engineering delivery across greenfield and transformation initiatives. You will influence technical direction, guide engineering best practice, and support the development of high-quality, robust data services that operate at enterprise scale. You will be consulting across modern cloud ecosystems and data technologies, with opportunities to deepen expertise in Python, SQL, cloud-native data tooling, orchestration platforms and streaming technologies across AWS, Azure and GCP. Skills and Experience: * Proven experience delivering production-grade data engineering solutions within complex environments * Strong Python skills for building, testing and operating scalable data pipelines * Experience working with at least one major cloud platform (AWS, Azure or GCP) * Strong SQL expertise and experience working with relational databases such as PostgreSQL or Microsoft SQL Server * Experience working with NoSQL technologies such as DynamoDB, MongoDB or similar * Hands‑on Kafka (or equivalent streaming) and workflow orchestration (Airflow) experience * Strong understanding of data architecture patterns including data lakes, warehouses and event-driven architectures * Experience of consulting across Agile delivery environments, implementing data quality, validation and monitoring frameworks Role and Responsibilities: * Lead the design, build and delivery of data platforms and services across the full engineering lifecycle * Own technical delivery of data pipelines, models and platform components, ensuring solutions are robust, scalable and maintainable * Design, develop and deploy ETL/ELT pipelines to ingest, transform and optimise large-scale datasets * Build and operate event‑driven architectures (Kafka) and orchestrate workflows (Airflow) * Apply strong data architecture principles across data lakes, warehouses and event-driven solutions * Develop and maintain streaming pipelines using technologies such as Kafka * Implement monitoring and observability solutions using tooling such as Prometheus and Grafana * Ensure data quality, validation and governance processes are built into engineering workflows * Act as a trusted technical advisor to clients and stakeholders (client-facing), translating business requirements into robust engineering solutions * Support delivery planning activities, including estimation, risk identification and dependency management * Mentor and support other engineers, contributing to a culture of continuous improvement and engineering excellence Applications: Please contact Edward Laing here at ISR to learn more about our client and how they are leading the way in developing the next generation of technical solutions through innovation and transformational technology?

Senior AI Engineer We’re looking for a hands-on Senior AI Engineer to build real-world AI systems that deliver measurable impact across customer journeys and internal operations. This role is all about turning emerging AI capabilities-LLMs, agentic systems, ML models, workflows, and AI services-into robust, production-ready solutions. What You’ll Do Design, build, and integrate AI applications into end-to-end workflows. Embed agentic AI into customer and operational processes with reliability, resilience, and safe fallback behavior. Collaborate with Product, Engineering, Data, and Operations to take AI solutions from concept to production. Establish best practices for orchestration, testing, monitoring, and operational safeguards. Evaluate emerging AI capabilities and translate them into practical, high-value implementations. What We’re Looking For Strong software engineering background (Python), with experience delivering production AI or ML-integrated systems. Hands-on experience with LLMs, AI services, or agentic AI frameworks. Practical understanding of AI production concerns: latency, resilience, observability, safety, and maintainability. Systems thinker who collaborates effectively across teams and communicates clearly. Passion for applied AI and agentic systems, with a focus on turning capabilities into tangible outcomes. Bonus if you have: AWS AI/ML experience, building autonomous workflows, regulated industry exposure, or contributions to the AI community. Benefits: Training and development budgets A culture of collaboration and growth so your career can become what you want it to be. Hybrid working – balance of remote working and on-site to suit your work/life balance. Join us and help shape the future of AI-driven systems in a fast-moving, hands-on environment. Interested? Please Click Apply Now Senior AI Engineer (Agentic AI) – Applied AI in Production Senior AI Engineer (Agentic AI) – Applied AI in Production

VMWare Engineer Rate - £525 - £550 (Daily) Location - Manchester (Hybrid) Duration - 4 Months (Initially) Ir35 - Inside (Must use an umbrella company) We are seeking a Senior VMware Engineer (Contractor) with a minimum of 5 years of hands-on experience provisioning and managing Linux and Windows virtual machines in enterprise VMware environments. This is a contract engagement supporting a higher education institution's virtual infrastructure modernisation and operational support initiatives. The contractor will provide advanced engineering expertise across VMware Cloud Foundation (VCF), VMware ESXi, VMware vSphere, and VMware NSX-T, ensuring stability, scalability, and performance of mission-critical academic and research systems. Scope of Work Provision, configure, and manage Linux and Windows VMs in enterprise clusters. Deploy and manage workloads within VMware Cloud Foundation environments. Install, configure, patch, and upgrade VMware ESXi hosts. Administer and optimise VMware vSphere clusters, including HA, DRS, and vMotion. Design and manage network virtualisation using VMware NSX-T. Perform VM lifecycle management (build, template creation, cloning, migration, decommissioning). Conduct performance monitoring, capacity planning, and resource optimisation. Support storage integration (SAN/NAS/vSAN) and ensure optimal IOPS performance. Implement and support backup, replication, and disaster recovery solutions. Provide advanced troubleshooting and root cause analysis. Document architecture, configurations, and operational procedures. Collaborate with infrastructure, security, networking, and research computing teams.Deliverables Fully provisioned and optimised virtual machine environments. Updated and documented VMware architecture diagrams and configurations. Performance optimisation and capacity planning reports. Resolved infrastructure incidents within agreed SLAs. Knowledge transfer documentation and handover sessions (if required at contract completion).Required Experience & Skills Minimum 5+ years of enterprise VMware engineering experience. Proven track record provisioning Linux (RHEL, Ubuntu, etc.) and Windows Server VMs. Strong hands-on expertise in VCF, ESXi, vSphere, and NSX-T. Experience in higher education, research institutions, or large multi-tenant environments preferred. Solid understanding of storage, networking, and security integration. Automation and scripting skills (PowerCLI, PowerShell, Bash, Python). Experience with vCenter administration and cluster design. Strong troubleshooting and performance tuning capabilities.Preferred Qualifications VMware certifications (VCP-DCV, VCAP). Experience with automation/orchestration (VMware Aria/vRealise, Ansible). Hybrid cloud experience (Azure, AWS, VMware Cloud). Experience supporting research computing or HPC workloads. Familiarity with ITIL-based change management processes.Contractor Expectations Ability to work independently with minimal supervision. Deliver results within defined project timelines. Participate in change advisory board (CAB) meetings as required. Provide regular status updates to project stakeholders. Availability for occasional after-hours maintenance windows

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

A leading technology firm in Greater London is seeking a Robotics Software Testing Engineer to collaborate on maintaining and testing software for robotics in industrial factory automation.You will ensure software stability by implementing automated test suites, working with engineers to design test

Resource orchestration and collaboration – Coordinate pre‑sales and deal desk/commercial expertise in the sales cycle, while project managing account plans within an established timeline.

Part of the Enterprise Products organization, the Workflow Orchestration group is dedicated to delivering workflow management, orchestration, and transparency solutions for highly distributed, fully asynchronous, enterprise-scale applications. Senior Software Engineer - Workflow Orchestration. DAG-b

A growing AI consultancy in the UK is seeking an experienced AI Engineer to design, build, and deploy production-grade AI systems.The role focuses on integrating large language models with an emphasis on reliability and scalability.Candidates should possess hands-on experience with LLM APIs, solid P

A cutting-edge AI research lab seeks an individual to help build the next generation of AI infrastructure.You'll design and architect internal developer platforms and secure Kubernetes structures, managing high-performance NVIDIA H100 clusters.This role offers the chance to work in a remote-first en

Twine seeks a talented Music Composer to join their remote project for scoring an original song inspired by musical theatre, klezmer, and jazz.The ideal candidate will have experience in composing for musical theatre and classical music, along with expertise in scoring complex music and utilizing pr

A leading consulting firm is seeking a Camunda Architect to lead the design and implementation of enterprise-grade workflow solutions.Based in London with a hybrid work model, the role demands strong experience in Camunda, particularly version 8, along with a solid architecture background.Candidates