Cloud security jobs in United Kingdom - Page 3

Senior Security Engineer Focus: Cloud First / Zero Trust / Azure / Identity Management / Security Principles Salary: £90,000 + 20% Bonus + 20% Pension Location: Central London – Hybrid Join a prestigious, family-run financial organisation embarking on a large-scale digital transformation. With around 500 employees, you’ll have excellent exposure across the business while making a significant impact. The organisation has recently completed an enterprise-wide migration from on-premise to Azure Cloud. As Senior Security Engineer, you’ll be the third hire in a growing security team. This is a broad role covering all aspects of Cyber and Information Security, including supporting projects that require security input (design and concept) and helping mature the organisation’s security posture. Your remit will span areas such as: • Security strategy and roadmap, • Security architecture and design, • Incident response and management, • SOC operations, • Compliance and vulnerability management, • Identity and access management, • Network security and DLP You don’t need experience in all areas, but you’ll be instrumental in driving the business towards a cloud-first, zero-trust model, taking stakeholders on the journey. Experience Required: • Broad experience as a Cyber Security Generalist, covering multiple domains, • Ability to implement best practice and security principles, • Strong technical knowledge across Azure security technologies (e.g., Defender), • Background in customer-facing IT support roles, with experience handling escalations and troubleshooting, • Relevant industry certifications, • Excellent stakeholder management and engagement skills If you’re interested, please apply directly and we’ll be in touch with further details.

DevOps Engineer (AI Deployment) | AI Tech Scale-Up | £60,000–£85,000 DOE + Shares | London / Hybrid We’re partnered with an innovative AI scale-up that is growing quickly and looking to hire a hands-on DevOps Engineer focused on AI deployment to help deliver cutting-edge agent-based solutions into complex client environments. The Company This fast-growing business sits at the forefront of applied AI, working with major organisations to build and deploy intelligent systems that solve real operational challenges. With a strong product roadmap and a collaborative culture, they offer the chance to work on high-impact projects in a fast-paced, forward-thinking engineering team The Role This is a DevOps-centric, client-facing engineering role focused on getting AI systems—particularly agent-based solutions—successfully deployed into customer environments. You’ll work across cloud, hybrid and on-premise setups, navigating real-world constraints (networking, security, Kubernetes clusters, containerised workloads, etc.) and collaborating directly with clients to get solutions up and running. You’ll work closely with senior engineering leadership to support deployments, contribute to agent-driven product builds, and ensure smooth delivery across varied technical landscapes. The Candidate Key attributes of the suitable DevOps Engineer (AI Deployment) include: • Deployment & Delivery Experience – Hands-on experience deploying software or platforms into client environments (on-premise, hybrid or cloud)., • DevOps Foundations – Solid experience with Docker and Kubernetes (both essential), plus comfort working across different cloud providers and networking constraints., • Interest in AI & Agents – Not a pure ML role—just curiosity or side projects involving AI agents, LLM tools, or automation frameworks., • Client-Facing Mindset – Confidence working directly with customers, understanding their environments, and guiding them through deployment and solution delivery., • Growth Mentality – 2+ years’ experience in DevOps, infrastructure, platform engineering or forward-deployed engineering roles.

Tech Lead | Azure, Terraform, Kubernetes | Bank-Grade Cloud Platform Build • £600-700 p/d (Outside IR35), • 5-month initial contract (extensions likely), • Hybrid: London (2 days/week on-site) The Role Join a newly formed Cloud Platform Engineering team building a greenfield Azure platform for a regulated banking venture. As Tech Lead, you’ll drive technical delivery across a team of ten engineers, staying hands-on while setting the standard for Infrastructure-as-Code, DevOps, and platform engineering. You’ll work at the intersection of architecture and delivery, ensuring solutions are built securely, efficiently, and to a consistently high standard. This is a hands-on technical leadership role, not a people management one. What They’re Looking For (Non-Negotiables) • Tech Lead / Principal Engineer experience on large-scale Azure platform builds, • Azure Cloud expertise (enterprise-scale landing zones, networking, security, governance), • Expert-level Terraform for modular, composable infrastructure-as-code, • Hands-on experience with Kubernetes in production environments, • Delivery leadership in DevOps-driven teams using GitHub Actions / Azure DevOps, • Proven ability to mentor engineers and embed technical standards, • Strong grasp of Kanban / continuous-delivery workflows What You’ll Work With • Azure Cloud: CAF enterprise-scale architecture, policy automation, governance, • Terraform: Modular provisioning, testing, and deployment patterns, • Kubernetes: Workload orchestration and container management, • CI/CD: GitHub Actions or Azure DevOps pipelines with end-to-end automation, • Event-Driven Architecture: Kafka or similar messaging systems, • Monitoring & Observability: Azure Monitor, Open Telemetry, Prometheus etc., • Secure-by-Design Practices: Policy as Code, automated validation, compliance controls Nice to Haves • Experience in regulated environments (banking, fintech, healthcare), • Background in Site Reliability Engineering or DevOps transformation, • Exposure to FinOps / cost optimisation, • Familiarity with Azure Enterprise Scale Landing Zones Accelerators, • Microsoft certifications (AZ-400 / AZ-305 or equivalent) Why Join / Projects This is your chance to shape a greenfield banking platform from day one, defining the standards, practices, and automation that will underpin a regulated enterprise cloud You’ll have genuine technical ownership, influence how a modern engineering culture takes root, and see your work directly impact a mission-critical delivery. (Option to extend or convert to permanent after initial term.) Tech Lead | Azure, Terraform, Kubernetes | Bank-Grade Cloud Platform Build

🚀 About Ten-Xer At Ten-Xer, we match people to roles where they can actually build and grow. We partner with startups that want operators, not passengers, and help them hire talent who move fast and deliver outcomes. About Crimson Crimson is an AI productivity platform built for litigators. Litigation teams use Crimson to analyze case files, answer case-specific questions and draft documents tailored to each dispute. By automating manual workflows across the life cycle of a case, Crimson helps lawyers find key evidence faster, streamline case management and save 10+ hours per week on common litigation tasks. Crimson is a small, high-ownership team of three co-founders building a category-defining AI platform for high-stakes litigation. They work with major UK and US law firms on highly sensitive case files. The culture is product-driven and security-obsessed: engineers talk directly to users, own features end-to-end, and care deeply about accuracy, reliability and speed. YC-backed and focused on shipping quickly while learning from demanding users. 🧩 What You'll Do • Build core product features across the stack from cloud infrastructure to prompting to UX, including Python backend, Next.js with TypeScript frontend, PostgreSQL, and Azure-hosted LLM workloads with CI/CD pipelines via GitHub Actions and IaC such as Bicep, • Work directly with litigators and knowledge workers to understand how lawyers work, what they need, and how Crimson can fit into their workflows, • Architect and scale document ingestion and processing pipelines to power fast, accurate search, summarization and data extraction over large volumes of legal documents, • Design and implement intelligent, multi-step agent workflows that autonomously handle complex legal tasks from surfacing key testimony to generating fact chronologies and spotting inconsistencies in filings, • Design and ship intuitive, AI-native user experiences tailored to litigation workflows in partnership with founders and early customers, • Improve system performance, stability and observability as the platform scales to more cases, larger datasets and additional firms, • Shape engineering culture and team standards from best practices and code quality to interviewing, hiring, and mentoring future engineers ⚡ What You Bring • 3+ years building and shipping production web applications full-stack, ideally in startups or small, high-ownership teams, • Strong backend experience with Python or similar, PostgreSQL, and cloud infrastructure with Azure preferred but AWS or GCP also relevant, • Frontend experience with modern TypeScript frameworks like Next.js or React, and an eye for building clean, intuitive product experiences, • Experience designing and operating data pipelines or distributed systems that handle large volumes of text or documents, • Comfort working with LLMs and applied AI including prompting, integrating model APIs, and thinking carefully about correctness, reliability and UX for AI-powered features, • Excellent product judgment, communication skills and attention to detail with comfort talking to demanding users and turning their feedback into shipped features, • High agency and bias for shipping with a preference for owning problems end-to-end and seeing your work used in real cases, • Bonus: interest or background in legal tech, disputes, or working with professional services users 📌 Why this role matters You'll be building tools that change how some of the most critical legal disputes get resolved. Your work will directly impact case outcomes, billable efficiency and how litigation teams operate under pressure. You'll have equity, direct access to founders and users, and the chance to define what AI tooling for law should actually look like.

Data Platform Engineer – Permanent Hybrid (3 days in the office, 2 days WFH) London McCabe & Barton are partnering with a leading financial services client to recruit an experienced Data Platform Engineer. This is an excellent opportunity to join a forward-thinking team driving innovation with modern cloud-based data technologies. Role Overview As a Data Platform Engineer, you will design, build, and maintain scalable cloud-based data infrastructure using Azure and Databricks. You’ll play a key role in ensuring that data pipelines, architecture, and analytics environments are reliable, performant, and secure. Key Responsibilities Platform Development & Maintenance • Design and implement data pipelines using Azure Data Factory, Databricks, and related Azure services., • Build ETL/ELT processes to transform raw data into structured, analytics-ready formats., • Architect and deploy scalable data lake solutions using Azure Data Lake Storage., • Implement governance and security measures across the platform., • Develop and optimise data jobs using PySpark or Scala within Databricks., • Implement the medallion architecture (bronze, silver, gold layers) and use Delta Lake for reliable data transactions., • Implement monitoring solutions using Azure Monitor, Log Analytics, and Databricks tools., • Partner with data scientists, analysts, and business stakeholders to deliver effective solutions., • 5+ years of experience with Azure services (Azure Data Factory, ADLS, Azure SQL Database, Synapse Analytics)., • Strong hands-on expertise in Databricks, Delta Lake, and cluster management., • Proficiency in SQL and Python for pipeline development., • Familiarity with Git/GitHub and CI/CD practices., • Experience with Terraform or other Infrastructure-as-Code tools., • Familiarity with Azure DevOps or similar CI/CD platforms., • Experience with data quality frameworks and testing., • Azure Data Engineer or Databricks certifications. Please apply with an updated CV if you align to the key skills required!

Role Overview Title: Senior Solution Architect (Cloud & Data Platforms) Programme: Multi-year Data & Analytics Transformation Client Environment: Global investment management Contract: 6 months, with extensions over multi-year programme. Outside IR35 Pay rate: £800+ per day, to be discussed This position is Remote working, with some likely occasional trips to site for critical meetings / workshops etc. This role is a hands-on senior Solution Architect acting as the technical and design authority for a modern cloud-based data platform, with Databricks at the core. The architect bridges investment business needs, data engineering, and platform architecture, setting standards others must follow. Key Responsibilities Architecture & Design Authority • Define and own end-to-end solution architecture across:, • Establish design patterns, reference architectures, and templates, • Ensure architectural consistency across multiple squads and pods Hands-On Technical Leadership • Build proofs of concept (POCs) when required, • Get hands-on with code and configuration to unblock teams, • Review and assure quality of engineering outputs Cloud & Platform Architecture • Own architecture decisions on AWS, including:, • Networking (VPCs), • Security, • Performance and scalability, • Reliability and cost considerations, • Ensure solutions align with SDLC, security, compliance, and audit requirements Business & Stakeholder Engagement • Translate investment business requirements into technical solutions, • Challenge both business and technology assumptions where needed, • Act as the front-facing technical representative to:, • Security architects, • Infrastructure teams, • Compliance and audit, • Senior technology leadership Governance & Delivery Enablement • Produce high-quality architectural artefacts:, • Architecture diagrams, • Design decisions and trade-offs, • Non-functional requirements, • Ensure solutions meet risk management and regulatory expectations Required Domain Knowledge (Must-Have) Candidates must have experience in investment or financial services environments Technical Requirements Core Stack (Strong Preference) • Databricks (Lakehouse architecture, design patterns), • AWS (deep understanding of cloud-native architecture), • Strong backend / platform engineering heritage, • Comfortable designing and reviewing:, • Data pipelines, • Cloud-native services, • Scalable distributed systems, • Senior Solution Architect (typically 10+ years experience), • Proven experience owning architecture for enterprise-scale platforms, • Has led architecture through full delivery lifecycles, • Strong engineering-first mindset, • Pragmatic and conservative in technology choices, • Confident challenging "latest and greatest" trends About Korn Ferry Korn Ferry unleashes potential in people, teams, and organizations. We work with our clients to design optimal organization structures, roles, and responsibilities. We help them hire the right people and advise them on how to reward and motivate their workforce while developing professionals as they navigate and advance their careers. To learn more, please visit Korn Ferry at

Role - Senior Lead Analyst- Data Scientist Technology – Data science, MLops, GenAI Location – London, UK Job Description Today, the corporate landscape is dynamic, and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish and where you are empowered to move forward as far as your ideas will take you. At Infosys, we assure that your career will never stand still, we will inspire you to build what’s next and we will navigate further together. Our journey of learnability, values and trusted relationships with our clients continue to be the cornerstones of our organization and these values are upheld only because of our people. Your Role: Data Scientist Preferred: Azure data science and open AI Technical Expertise: -Proven experience in data science leadership roles with team management. -Strong expertise in Azure Machine Learning, Python, and ML frameworks (TensorFlow, PyTorch, Scikit-learn). -Hands-on experience with MLOps, CI/CD pipelines, and model monitoring. -Knowledge of cloud architecture, data engineering, and security best practices. -Design and implement ML pipelines on Azure Machine Learning. -Own end-to-end model lifecycle: data ingestion, feature engineering, training, deployment, and monitoring. -Excellent communication and stakeholder management skills Key Responsibilities: -Team Leadership & Management -Manage and mentor a team of data scientists and ML engineers. -Allocate resources, review deliverables, and ensure adherence to best practices. -Foster a culture of innovation, collaboration, and continuous learning. Solution Development & Delivery -Build predictive and prescriptive models for business-critical use cases. -Integrate models with enterprise systems and APIs for real-time inference. -Ensure Responsible AI principles: fairness, explainability Client & Stakeholder Engagement -Collaborate with business stakeholders to translate requirements into technical solutions. Present insights and recommendations to senior leadership Overview Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer. “By applying via Easy Apply option you confirm you have read, and you accept Infosys Data Privacy notice for the country of the job posting. Please see the relevant Data Privacy Notice under the link: ___.”

Staff Golang Engineer (Contract – Pharma / Life Sciences) - up to £750 per day, outside IR35 Location: 3 days a week in the office in London, 2 days WFH Contract Type: 6 months (with potential to extend) Day Rate: up to £750 per day, outside IR35 About the Role Our client within the Life Sciences industry is seeking 3 x experienced Staff Golang Engineer to join our engineering team on a contract basis. You’ll play a key role in building databases from scratch and creating platforms like Kafka. Being hands-on within a team delivering projects and solving tough tech problems. What You’ll Do • Design and implement robust, scalable microservices and APIs in Go, • Lead the technical design of distributed data systems supporting research and clinical workflows, • Collaborate with data scientists, bioinformaticians, and product teams to translate scientific needs into resilient software solutions, • Optimize data processing pipelines for performance, reliability, and compliance, • Drive adoption of best practices for security, observability, and data governance, • Mentor engineers and contribute to architectural decisions across teams What We’re Looking For • 7+ years of software engineering experience, including extensive experience with Golang, • Deep understanding of distributed systems, data-intensive applications, and microservices architectures, • Experience with cloud environments (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker), • Solid background in API design, data streaming, and event-driven architectures (Kafka, NATS, RabbitMQ), • Proven leadership in technical design and mentoring, • Strong collaboration and communication skills in cross-functional scientific environments Why Join Us • Work with cutting-edge data and infrastructure challenges in the life sciences domain, • Chance to work with a high-performing, mission-driven engineering team, • Competitive day rate and opportunities for long-term collaboration

Staff Site Reliability Engineer – Data & Trading Platforms London, Barcelona or Madrid | Full-time | Hybrid The mission Join a fast‑growing B2B data platform used by commodity traders to replace spreadsheets and fragmented tools with a single real‑time view of the market. The product ingests live data streams, powers complex analytics and visualisations, and is becoming the operating system for trading teams globally. The role You’ll be the reliability specialist embedded in a product engineering team, owning how distributed systems are designed, run and scaled rather than sitting in a separate ops silo. Expect real‑time data, high‑throughput pipelines and a strong “you build it, you run it” culture, with plenty of scope to shape infrastructure direction and mentor others. What you’ll do • Lead the design and evolution of reliable, scalable and observable infrastructure for real‑time and analytical data systems., • Embed SRE practices (SLIs/SLOs, error budgets, operational readiness) across product teams., • Optimise performance, availability and cost across cloud environments while maintaining strong security and resilience., • Build and enhance observability stacks for metrics, logging, tracing and alerting, and guide incident response., • Mentor engineers in distributed systems, reliability engineering and infrastructure design, acting as a technical reference point. What you bring • 7+ years in software engineering, SRE, DevOps or infrastructure roles, with a solid software engineering foundation., • Experience operating cloud‑hosted systems at scale, plus strong skills in automation, CI/CD and cloud engineering., • Strong understanding of distributed systems, performance and failure modes, and experience with observability tooling., • Comfortable with several languages (e.g. Python, Java, Kotlin, TypeScript) and technologies like Kafka, Flink, Redis and clustered Postgres., • Familiarity with networking concepts (routing, load balancing, service‑to‑service communication); bonus points for leading teams and managing Kubernetes‑based infrastructure. Why you might care • Work on a mission‑critical platform where reliability directly affects how traders see and act on live markets., • High‑ownership, low‑bureaucracy environment, with the backing of fresh Series B funding and the chance to influence both architecture and culture as the company scales.

Who We Are: We are a fast growing business and technology consultant company co-founded in 2019. We offer a custom-tailored, white-glove engineering service fit for our clients, because a digital transformation is more than just technology. With a successful track record of being a preferred vendor for Fortune 500 companies and as a trusted partner for some of the industry’s leading companies, our global talent has helped many clients achieve their goals. The 3 G’s of RE: “Get Shit Done.” “Get Over Shit.” “Give a Shit.” We are seeking an experienced and opinionated Java Developer to join our high-performing engineering team, working on low latency, high-throughput systems in the payments processing domain. This hybrid role is based in the UK or US and offers the opportunity to build scalable, real-time services using modern technologies. If you’re passionate about performance, have strong Core Java and SpringBoot expertise, and thrive in a collaborative yet opinionated engineering culture, we want to hear from you. Key Responsibilities: • Design, develop, and optimize low-latency, high-throughput backend systems using Core Java and SpringBoot., • Build and maintain RESTful APIs and microservices that power secure payment workflows., • Work with XML-based messaging standards and protocols commonly used in financial transactions., • Deploy, monitor, and scale applications in Red Hat OpenShift and AWS cloud environments., • Integrate with MongoDB and other NoSQL/SQL datastores for real-time data management., • Collaborate with DevOps, Product, and QA teams to ensure production-grade solutions., • Participate in architectural discussions, advocate for best practices, and provide mentorship to peers., • Drive performance tuning, fault tolerance, and observability improvements across services. Required Skills & Experience: • 5+ years of experience in Core Java development with a focus on performance and memory optimization., • Proficient in SpringBoot and microservice-based architecture., • Proven experience with low-latency, high-throughput applications (sub-millisecond response times a plus)., • Experience working with XML and message parsing/transformation., • Hands-on experience deploying applications on Red Hat OpenShift and/or Kubernetes., • Strong cloud experience with AWS services such as ECS, EKS, Lambda, S3, etc., • Solid understanding of MongoDB and NoSQL design patterns., • Prior experience in Payments Processing, financial services, or banking systems., • Strong communication skills and a bias toward action and opinionated design decisions. Nice to Have: • Familiarity with messaging systems (Kafka, RabbitMQ, etc.), • Exposure to container security and performance tuning on OpenShift., • Knowledge of payment gateways, ISO 20022, or SWIFT formats. • Collaborative, fast-paced, and engineering-driven culture. • Emphasis on engineering autonomy, architectural decision-making, and clean code., • Collaborative, fast-paced, and engineering-driven culture. Emphasis on engineering autonomy, architectural decision-making, and clean code. Join Our Global Team: We invite you to apply for the position at RE Partners. Join us in shaping the future of business technology consulting and transforming the way organizations thrive in a digital world. As a diverse, woman-owned global business, we pride ourselves on keeping talent happy – our 7% attrition rate speaks volumes. Bring your talented friends along and earn a referral bonus Equal Opportunity Employer: We are an equal opportunity employer and welcome applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or veteran status.

Senior Data Engineer Job Title: Senior Data Engineer Salary Range: £80,000–£100,000 Location / Working model: London | Hybrid This is a critical technical position within a high-growth, forward-thinking organization that specializes in digital innovation. We require an experienced Senior Data Engineer to design, build, and maintain a robust, scalable, and high-performance system that is fundamental to the organization's operational and analytical success. Core Responsibilities The successful candidate will own the technical development and strategic execution of the core data platform, ensuring high quality, performance, and security: • System Architecture & Development: Lead the design, development, and maintenance of scalable, high-performance, real-time data pipelines and core infrastructure components within the cloud environment., • Data Integration: Ensure seamless, low-latency data flow by integrating and unifying diverse data sources across the organization., • Data Modeling & Quality: Build and optimize robust data models specifically for complex querying and analytical use cases, and ensure data quality, integrity, and security across all systems., • Reliability & Monitoring: Construct highly available, fault-tolerant systems for high-volume data ingestion and processing, implementing effective monitoring, logging, and alerting mechanisms., • Performance Optimization: Continuously monitor, tune, and optimize pipeline scalability and performance to meet stringent throughput and latency standards., • Cross-Functional Alignment: Partner directly with technical and business teams to ensure the data infrastructure directly supports strategic objectives. Required Technical Expertise This role demands a deep, production-level background. Candidates must demonstrate proficiency in the following essential areas: • Production Experience: Extensive hands-on experience in Data Engineering, specifically a proven track record of successfully architecting, building, and managing production-grade real-time data pipelines across multiple large-scale initiatives., • Cloud Platform Specialization: Mandatory deep, practical experience leveraging Google Cloud Platform (GCP) and its associated tools for the deployment and management of real-time data ingestion and processing services. (While AWS knowledge is valuable, GCP expertise is primary.), • Distributed Streaming: Strong familiarity with distributed streaming technologies, such as Kafka or similar platforms., • Programming & Scripting: Expert proficiency in Python for development, coupled with the ability to optimize and refactor data pipelines for improved performance and scalability., • Database Expertise: Advanced knowledge of SQL is mandatory, alongside a strong understanding of various database technologies (NoSQL, time-series databases) and deep competence in data modeling principles., • Workflow Orchestration: Strong working knowledge of industry-standard data orchestration tools (e.g., Apache Airflow or Kubernetes). The Environment We are seeking a highly collaborative professional with strong problem-solving skills, capable of thriving in a fast-paced environment. Exceptional written and verbal communication skills in English are required for effective technical leadership and documentation.

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. Vision In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization. Solution As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs. About The Role We are looking for a Senior/Staff Software Engineer (Data) to help transform our rapidly growing universe of raw robotic data into a dependable, scalable foundation for learning, simulation, and system performance. You will be part of a specialised team responsible for designing and maintaining the data pipelines that connect control, perception, simulation, and learning systems. This role involves close collaboration with robotics engineers, machine learning researchers, and software developers. You will own critical aspects of our data platform, shape data models and schema design, implement quality controls, and optimise systems for high-throughput and reliable processing. It’s ideally suited to someone passionate about building foundational systems at the intersection of AI and robotics, who enjoys solving practical challenges and working across disciplines to turn complexity into clarity. What You’ll Do • Develop the backbone of our HMND robot Capability Factory., • Curate, preprocess, and manage large-scale datasets for humanoid robot training—projected to grow to petabytes by 2026., • Build highly scalable data pipelines on massive infrastructure tens of thousands of vCPUs., • Ensure the quality, accuracy, and consistency of data across multiple projects., • Collaborate with machine learning teams to design data pipelines that support efficient training workflows., • Develop and maintain data quality metrics reporting systems., • Implement best practices for data management, including versioning, security, and compliance. We’re Looking For • Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field., • 5+ years of experience in data engineering and data quality., • Strong proficiency in one the programming languages, such as Python, Java, Scala, C++, etc., • Experience with distributed computing frameworks such as Ray, Spark, and MapReduce., • Attention to detail and a strong commitment to data integrity., • Excellent problem-solving skills and ability to work in a fast-paced environment. Nice To Have • Experience developing infrastructure for petabyte-scale data platforms., • Deep, hands-on expertise in low-level and system-level engineering, including operating systems, networking, and large-scale infrastructure internals., • Understanding of ML requirements and experience working with ML teams., • Experience with DBT, Prefect, and Databricks., • Familiarity with robotics or the self-driving field., • Experience with cloud-based data storage and processing solutions. AWS would be a plus., • Passion for contributing to the development of advanced humanoid robots. Benefits • Competitive salary plus participation in our Stock Option Plan, • Paid vacation and travel opportunities to our London, Vancouver, and Boston offices, • Office perks: free breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

About the Role Join a mission-critical team within our firm’s cutting-edge platform engineering function, supporting platform for front-office developers (quants and strategists) in a unique hands-on opportunity within a focused, high-impact team. You’ll be at the forefront of data and cloud-native engineering, working with modern technologies across AWS, On-premise kubernetes, Python, and data pipelines, while engaging directly with key internal platforms and front-office business developers. If you are passionate about solving hard technical problems, staying current with trends like AI Engineering, and want to make a difference in a globally respected financial institution, this role is for you. The successful AWS Data Engineer candidate will have the chance to make a significant impact in designing the platform and working on cutting-edge technologies like Databricks and Snowflake in the heart of a leading global Investment Banks’ front-office. This is a rare greenfield role that offers the opportunity to solve the ultimate data pipeline challenge faced by all banks, working closely with various businesses and gaining an overview of many different sectors. What We’re Looking For • 5 + years, hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools., • Strong experience engineering in a front-office/capital markets environment., • Previous experience in implementing best practices for data engineering, including data governance, data quality, and data security., • Proficiency in data processing and analysis using Python and SQL., • Experience with data governance, data quality, and data security best practices., • Strong knowledge of market data and its applications., • Understanding of Generative AI concepts, along with hands-on experience in developing and deploying AI applications in real-world environments. Nice to Have • Experience with other data engineering tools and technologies., • Knowledge of Machine Learning / AI and data science concepts. Accountabilities • To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure., • Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data., • Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures., • Development of processing and analysis algorithms fit for the intended data complexity and volumes., • Collaboration with data scientist to build and deploy machine learning models.

Ready to build the high-performance logic powering next-generation logistics? Join Reelables and architect the core back-end services that process and serve data for millions of smart labels worldwide! This isn't just back-end development – you're building the mission-critical application layer that handles massive IoT data streams, ensures millisecond latency for global supply chains, and scales seamlessly as we grow from millions to billions of tracking events. Think API performance and data processing efficiency meets cutting-edge innovation. You'll be designing highly performant and distributed services that ingest and process location and temperature data from every corner of the globe, building robust, low-latency APIs that power logistics decisions worth millions of dollars, and creating the rock-solid, secure logic that our entire product ecosystem depends on. Who we are Reelables is a rapidly scaling tech company based in North London (near Angel), developing the world's most advanced smart shipping labels. Our breakthrough technology is already transforming how companies track and manage their shipments globally, and we're just getting started. Responsibilities Core Service Architecture & Scale • Design, develop, and maintain highly scalable back-end services that handle millions of concurrent data ingestion events and user requests., • Architect and optimize data processing pipelines and application logic for massive streams of real-time location, temperature, and sensor data., • Develop robust, well-documented, and performant APIs (REST/GraphQL/gRPC) that power both our customer-facing platform and third-party logistics integrations., • Ensure the application layer can scale seamlessly and cost-effectively from startup to enterprise-level traffic peaks. Performance & Reliability • Build fault-tolerant, self-healing application services with comprehensive unit, integration, and performance testing., • Implement advanced security best practices within the application code and API gateways for handling sensitive logistics and tracking data., • Optimize service performance and database queries to achieve low-latency responses under peak loads during high-traffic periods (think Black Friday logistics!)., • Drive application-level error handling, retry logic, and resiliency patterns across the microservices landscape. Technical Ownership & Collaboration • Collaborate closely with the Platform Engineering/DevOps team to define deployment requirements, monitoring needs, and infrastructure usage., • Contribute to microservices architecture decisions, selection of new programming tools, and application state management strategies., • Mentor team members on back-end best practices, API design principles, and scalable system implementation., • Drive initiatives to improve code quality, testing rigor, and overall developer productivity. Experience Back-End Development Mastery • Backend Expertise: Advanced TypeScript/Node.js/Python skills with deep, hands-on understanding of designing and implementing high-scale distributed systems., • API Design: Proven track record designing, implementing, and optimizing production-grade APIs (REST/GraphQL) for both internal and external consumption., • Data Systems: Experience with optimizing database queries and schema design for both relational (PostgreSQL, MySQL) and NoSQL/Time-Series databases (e.g., DynamoDB, TimescaleDB) under high-throughput conditions. Scale & Performance Focus • Experience building systems that efficiently handle millions of requests/events per day with stringent latency requirements., • Deep understanding of distributed systems principles, caching strategies (e.g., Redis, Memcached), and microservices communication patterns (e.g., message queues, service meshes)., • Background in IoT platforms, real-time data processing, or high-scale consumer applications is a significant bonus. Technical Environment • Familiarity with cloud-native development on AWS (e.g., Lambda, ECS/EKS, API Gateway, SQS/SNS)., • Experience integrating application services with CI/CD pipelines and contributing to application monitoring/observability using tools like Prometheus, Grafana, or Datadog., • Experience with containerization (Docker) and a solid understanding of how application code runs within a Kubernetes or serverless environment. Leadership & Collaboration • Strong mentoring abilities and passion for elevating team code quality and development standards., • Excellent communication skills for collaborating with Product Managers, Front-End Engineers, and the Platform team., • Experience working in fast-paced start-up environments where you take ownership of core application features and drive significant technical decisions.

Join us to shape the technology powering the frontline workforce. Connect by Cocentric is growing fast – and we’re looking for a hands-on Platform Engineering Manager to shape its technical future. Connect bridges HR systems and digital tools to give frontline employees seamless, secure access – without email addresses or complexity. Backed by recent funding and used by some of the UK’s biggest brands, the platform is scaling fast. As our Platform Engineering Manager, you’ll work at the intersection of engineering, product, and customer delivery – setting technical direction, guiding architectural decisions, and helping scale a secure, modular, and high-performing platform. You’ll lead on everything from architecture and infrastructure to mentoring engineers and helping shape the product roadmap. WHAT YOU WILL DO • Design, lead, and evolve the technical architecture of the Connect platform, • Make decisions on tech stack, infrastructure, frameworks, and integration approaches, • Collaborate closely with the Head of Connect to align architecture with roadmap priorities, • Provide hands-on technical leadership – contributing code, conducting reviews, and guiding decisions, • Mentor and support a growing engineering team, ensuring high-quality delivery, • Translate complex business requirements into scalable and maintainable systems, • Focus on performance, reliability, and security at scale, • Stay ahead of emerging technologies and contribute to continuous improvement WHAT YOU’LL BRING • Strong experience with Service Fabric and Kubernetes, • Proven experience architecting and scaling B2B SaaS platforms, • Strong full-stack technical expertise – especially across C#, JavaScript, and React, • Experience integrating with APIs and identity platforms (e.g. Microsoft Entra ID / Azure AD), • Solid understanding of cloud infrastructure – ideally Azure and Service Fabric, • A collaborative mindset – comfortable working across product, engineering, and client delivery, • A pragmatic, hands-on approach to problem-solving and decision-making, • Background in IAM or SSO is a bonus OUR TECH STACK • Frontend: React, JavaScript, • Backend: C#, .Net, Azure Service Fabric, • Infrastructure: Azure, Service Fabric, Cosmos DB WHY COCENTRIC • Be a key part of a product that’s transforming how the frontline workforce connects, • Help shape the technical foundation of a platform built for scale and impact, • Work alongside a talented, fast-growing team backed by investment and momentum, • Hybrid working model with a base in our London office and flexibility to work from home, • 29 days annual leave, including a day off for your birthday, plus bank holidays., • Our office closes over Christmas, • Generous private medical care and additional perks with Vitality, • Cocentric recognise that your family is important and being able to spend quality time with your family as it grows is a wonderful experience. This is why we offer enhanced Maternity, Paternity, Adoption and Parental leave.

Client: Tier 1 Global Brand Rate: £700-£800 Inside IR35 (negotiable) Duration: 6 months initially, view to extend Location: London 3 days, remote 2 days Senior Infrastructure Developer (Python, VMware Cloud Foundation) As part of our global Virtualization Engineering team, you’ll play a critical role in architecting, integrating, and automating our next-generation infrastructure based on VMware Cloud Foundation (VCF). We are embarking on a multi-year transformation, leveraging expert consultants to deliver a scalable, automated virtualization stack. You’ll work hands-on with VCF, Linux, Ansible, and our proprietary configuration management system to deliver robust solutions across both brownfield and greenfield environments. Responsibilities: • Design, implement, and automate configuration management for a large-scale, global VCF-based virtualization platform using Python and Ansible., • Engineer and integrate APIs to provide infrastructure-on-demand and seamless interaction between on-prem and third-party tools., • Lead lab-based testing, certification, and integration of new hardware and software components into existing infrastructure., • Collaborate with internal stakeholders to gather requirements and architect scalable, resilient solutions., • Ensure technical alignment with both vendor best practices and internal standards for reliability, automation, and security., • Work independently to deliver on aggressive project timelines and resolve complex technical challenges. Required Skills: • Extensive experience automating infrastructure tasks (installation, configuration, management) using Python., • Hands-on experience with automation frameworks (Ansible, Python) and Infrastructure as Code practices., • Deep understanding of virtualization technologies, ideally VMWare Cloud Foundation (VCF) or vSphere., • Strong technical fundamentals: TCP/IP, DNS, Linux, distributed systems., • Experience integrating APIs and automating workflows across hybrid infrastructure stacks. Familiarity with software version control, CI/CD pipelines, and modern SDLC practices. Desired Skills: • Hands-on expertise with VMware’s suite (VCF, vSphere, vSAN) in both greenfield and brownfield rollout scenarios., • Knowledge of software testing methodologies for infrastructure automation., • Experience with other programming languages (e.g., Go, PowerShell, Bash)., • Understanding of containerization and cloud-native patterns., • Experience working in high-pressure, global teams on multi-year strategic projects. Personal Attributes: • Self-motivated and able to operate independently with minimal oversight., • Comfortable working under pressure and managing competing priorities., • Excellent communication skills in a distributed, multicultural environment.

We are seeking a Principal Recruitment Consultant with experience in technology recruitment to join our Eames Consulting team in London. You will be responsible for managing client relationships, sourcing top talent for key positions, and supporting organisations as they undergo major changes. This is an exciting opportunity for a seasoned professional to work on high-impact projects and shape the future of businesses in transition. Who you are • Proven experience as a Recruitment Consultant, ideally specialising in Technology recruitment, or related fields., • Strong knowledge of tech, ideally with experience across on of the following verticals: Data, Cyber security, Infrastructure, DevOps, Cloud or Business Systems., • Exceptional communication and relationship-building skills, with a demonstrated ability to work closely with clients and candidates., • Proven track record in managing recruitment campaigns and delivering results, meeting targets, and achieving KPIs., • Ability to work effectively in a fast-paced, ever-changing environment while managing multiple priorities. Join a high-performance team • Warm client base with over 200 signed terms and on PSL, • Billing Director with over 20 years' experience across tech recruitment, • Very strong team culture of hard work and fun, and collaborative, where everyone supports each other's success, • Highly rewarded and recognition-focused team environment, • Clear vision to grow the team across the technology sector, • Structured plan around career growth and development, • One-to-one hands-on coaching from incredibly experienced leaders Be Rewarded • There's no smoke and mirrors here; we want your career path and progression to be as clear as possible. We offer clear, structured and transparent career paths for all levels. In fact, 38% of our team earned a promotion in the last 12 months., • Whatever your role and chosen path, you'll have access to a structured training and collaborative development plan to achieve your goals., • Commission schemes that pay up to 40% of everything you bill, plus an equity scheme for Partners, in addition to competitive base salaries that are regularly benchmarked. You can also earn up to £2,000 for successful referrals., • We have a generous holiday allowance, offering 25 days (increasing to 28 with service), plus a day off for your birthday. Our offices shut between December 25th and the New Year, and we finish early on Fridays., • An inclusive range of incentives, including High Achievers Club and all-expense-paid holidays for top performers; regular company-funded socials from the Summer Party to the Big Eames Quiz, the Christmas Party and everything in-between. Join the Opportunity Makers If you're looking for opportunity, you've come to the right place. Because at Eames, we've built our business on making opportunity happen. Apply now, or get in touch directly to hear more about opportunities at Eames:

AI Engineer (Infrastructure), London - Hybrid, £85k + Stock Options Are you ready to help world-leading enterprises deploy cutting-edge AI at scale? We’re looking for an AI Infrastructure Engineer to join a pioneering AI company that’s transforming the way businesses operate. This is agentic AI that can drive decisions, optimize workflows, and unlock insights that were previously impossible. Trusted by Fortune 500 clients across finance, healthcare, and enterprise, this company has grown 500% year-on-year since emerging from stealth mode in 2021, backed by over $50M from top-tier investors and visionary angels. The Role You’ll be the bridge between enterprise infrastructure and AI innovation. Your focus will be on deploying advanced AI solutions into complex client environments, ensuring reliability, security, and scalability. Your expertise will determine how seamlessly it integrates into real-world systems. What You’ll Do • Collaborate with top-tier enterprise clients to design and deploy bespoke AI workflows., • Build robust architectures leveraging the latest AI technologies, including LLMs, RAGs, MCPs, and agentic workflows., • Ensure enterprise-grade deployment across cloud and on-prem environments, with focus on availability, observability, and security., • Translate complex business challenges into scalable, intelligent AI solutions., • Serve as a forward-deployed engineer, working closely with both technical teams and business stakeholders. What You’ll Bring • Proven experience deploying enterprise-grade AI or machine learning solutions in cloud and/or on-premise environments., • Hands-on familiarity with at least one major cloud provider and strong DevOps skills., • Client-facing experience with the ability to design, deliver, and support production-grade AI solutions., • Strong solution architecture skills and a track record of driving measurable impact., • Bonus points for personal AI projects or agentic AI experience. Why This Role Is Exciting • Work on high-visibility projects that truly change how enterprises operate., • Join a company backed by world-class investors and trusted by global Fortune 500 clients., • Be part of a team where 50% of members are PhDs, selected from over 50,000 applicants., • Enjoy a collaborative, hybrid work environment (office Tues & Weds, optional additional days). Benefits • Competitive salary (flexible for exceptional candidates), • Share options and pension scheme, • 25 days’ paid holiday plus bank holidays (carry over/sell up to 5 days), • Work abroad days and flexible benefits, including Health/Dental Insurance, • Learning & development budget, tech purchase support, office snacks, team events, referral bonuses Interview Process • Initial screening call, • Hiring manager/team interview (30-45 mins), • Take-home challenge (3 hrs), • In office interview - Speak with 3 members of the team (30 mins each), then a final chat with founders

Job Summary We’re seeking a Lead GenAI Engineer to join our MLOps team and drive the design, delivery, and integration of impactful Generative AI (GenAI) solutions across the organisation. This is a lead-level individual contributor role, with responsibility for owning and delivering high-value AI solutions from concept through to secure, scalable production deployment. You’ll work across engineering, commercial, and operational teams to develop GenAI tools including retrieval-augmented systems, intelligent assistants, and workflow automation. Your work will be central to embedding GenAI into enterprise platforms, unlocking measurable business outcomes while ensuring maintainability, security, and compliance. Key Responsibilities • Lead the design and delivery of production-grade GenAI solutions using LLMs, RAG, and vector search, optimising prompts, context, and retrieval for accuracy and performance., • Architect and implement GenAI services integrated with enterprise systems and cloud platforms, ensuring scalability, security, and maintainability., • Own the delivery of GenAI applications such as internal support assistants, case handling tools, and commercial automation services., • Deliver solutions from proof-of-concept to production, focused on measurable business value while meeting compliance and performance standards., • Collaborate with cross-functional teams to embed GenAI into operational and commercial workflows as part of wider digital transformation efforts., • Lead technical workshops and enablement sessions to support internal adoption of GenAI tools and practices., • Evaluate GenAI APIs, frameworks, and vendors, advising on architecture, integration strategy, and build-vs-buy decisions., • Implement monitoring and evaluation processes to ensure solution quality, reliability, and continuous improvement., • Partner with security and governance teams to ensure responsible, compliant deployment of GenAI technologies. Skills & Experience • Proven experience leading the development and deployment of GenAI systems in enterprise environments., • Deep hands-on expertise with LLMs, RAG architectures, vector databases, and orchestration frameworks (e.g. LangChain)., • Strong understanding of prompt design, context management, and GenAI-specific risks such as hallucination and data exposure., • Experience integrating GenAI solutions with enterprise systems and cloud platforms (AWS, Azure, or GCP)., • Proven ability to work independently and collaboratively across technical and business teams to deliver outcomes with clear business impact., • Excellent communication and stakeholder engagement skills, particularly in cross-functional environments. Desirable • Background in software engineering, ML engineering, or AI solution architecture., • Familiarity with CI/CD, observability, and MLOps practices that support scalable GenAI deployment., • Experience working in large-scale or regulated enterprise settings., • Proven track record delivering GenAI solutions across knowledge assistants, customer support, commercial automation, and engineering tools., • Understanding of evaluation methods for GenAI in production environments, including user feedback loops, latency tracking, and quality scoring., • Exposure to advanced GenAI orchestration patterns and frameworks such as tool use, memory management, agentic workflows, or Model Context Protocol.

Mid-Level Platform Engineer – AWS, Kubernetes, Terraform, CI/CD Oliver Bernard are currently working with a FinTech / Banking SME who are looking to take on a Mid-Level Platform Engineer as part of current expansion plans across tech, due to a surge in demand for their platform. You will work in an extensive Team, devised of Platform and Cloud Infrastructure Engineers to help drive the development across their existing platform. Working from Design, to Architecture, Development and Implementation, as a Mid-Level Engineer you will be given large amounts of autonomy and ownership over how certain technologies are implemented and utilised within the Engineering team. A well-cultured and tight knit environment, the company have a small team that competes heavily with their sizeable competitors. To be considered for this opening you’ll need at least 3-4 years’ experience, encompassing the following: • Cloud experience with AWS & AWS Services (EC2, VPC, API Gateways, Security Groups etc), • Containerisation / Orchestration with Kubernetes (with Helm, Istio, or equivalent), • IaC with Terraform, comfortable driving best practices, • Extensive experience building and managing CI/CD pipelines (with Jenkins, GitLab or CircleCI), • Knowledge of Monitoring and Security is also a big bonus This position is open to Mid-Level Engineers, able to offer £65-75K (plus benefits), and operates a hybrid working model in London (3 office days p/week). Mid-Level Platform Engineer – AWS, Kubernetes, Terraform, CI/CD

My client, a leading multi-strategy hedge fund, is seeking a Lead Infrastructure Engineer to join their team in London. This individual will be responsible for supporting and developing the firm’s technology infrastructure, playing a key role in their ongoing transition to an independent cloud-hosted environment. This is an opportunity to work across a wide range of technologies, contribute to strategic projects, and make an immediate impact within a high-performing team. The ideal candidate should have strong experience with Microsoft technologies (Windows 10/11, Intune, Active Directory, Exchange Online), Azure advanced services (Functions, Logic Apps, Automation, Networking), scripting and automation (PowerShell, Python, or Bash), and infrastructure-as-code (Terraform). Additional exposure to cloud security, networking fundamentals, disaster recovery strategies, and tools such as Okta, Netskope, and Mimecast will be highly advantageous. To secure the most relevant hire, my client is committed to offering a strong uplift on current base salary alongside market leading bonuses. It is also worth noting, my client provides exceptional benefits, ranging from on-site breakfast + lunch, to private healthcare. Apply now via the link below or send your resume directly to .

Vice President of IT Operations - Enterprise Applications & Infrastructure • Based in London, • Permanent, Full-Time, • Salary: Competitive (depending on experience), • This role requires hands-on experience with Entrata - the property management software. A leading global organisation is seeking a Vice President of IT Operations to oversee three critical technology functions: Entrata application services, end-user support, and corporate IT infrastructure. This is a strategic leadership role requiring hands-on expertise in Entrata and strong IT project management skills to deliver operational excellence and drive innovation across enterprise systems. You’ll lead high-performing teams, collaborate with senior stakeholders, and ensure seamless IT service delivery across applications, infrastructure, and user support. Role & Responsibilities: Entrata Application Service Management • Build and lead a dedicated team to support the Entrata platform, ensuring high availability and performance., • Oversee the full application lifecycle: deployment, upgrades, incident resolution, and vendor coordination., • Define and implement SLAs, KPIs, and continuous improvement initiatives., • Align Entrata capabilities with business needs through stakeholder collaboration. End-User Support Leadership • Manage local end-user support operations, ensuring timely resolution of IT issues., • Develop and enforce support policies, procedures, and standards to enhance user experience., • Implement ITSM best practices and tools to streamline support operations., • Drive training and development initiatives for a high-performing support team. Corporate IT Infrastructure Oversight • Provide administrative oversight for IT infrastructure resources, including network, servers, storage, and security systems., • Coordinate with global infrastructure teams to ensure compliance, reliability, and scalability., • Support audits, risk assessments, and adherence to IT governance and cybersecurity policies., • Act as the local escalation point for infrastructure-related issues and projects. Key Skills & Experience: • Mandatory experience with Entrata platform (implementation, support, and optimization)., • Strong IT project management skills, including planning, execution, and stakeholder communication., • 10+ years of experience in IT operations, with at least 3 years in a senior leadership role., • Proven experience managing enterprise applications and end-user support teams., • Strong understanding of IT infrastructure, network systems, and cloud technologies., • Excellent leadership, communication, and stakeholder management skills. Preferred Skills: • ITIL certification or equivalent service management credentials., • Familiarity with global IT operations and cross-cultural team management., • Strong analytical and problem-solving abilities. Don’t miss this opportunity to lead enterprise-level IT operations and shape technology strategy within a dynamic organisation. Apply now with your most up-to-date CV!

Akkodis is a global leader in engineering, technology, and R&D, harnessing the power of connected data to drive digital transformation and innovation for a smarter, more sustainable future. As part of the Adecco Group, Akkodis combines the expertise of AKKA and Modis, with over 50,000 engineers and digital specialists across 30 countries in North America, EMEA, and APAC. Our teams bring extensive cross-sector knowledge in critical technology areas such as mobility, software services, robotics, simulations, cybersecurity, AI, and data analytics, enabling clients to tackle complex challenges in today’s rapidly evolving markets. With a comprehensive solution portfolio across four service lines—Consulting, Solutions, Talents, and Academy—Akkodis supports clients from concept through to full-scale deployment and optimisation. Our diverse offerings help organisations rethink product development, accelerate productivity, reduce time-to-market, and prepare for the future. At Akkodis, you’ll join a dynamic environment that values continuous learning and global collaboration, where you can make a meaningful impact through innovative projects that shape the future of technology. Role Overview: Experienced Technical Architect with a strong background in Artificial Intelligence (AI) and data architecture within the investment banking domain. The ideal candidate will have deep expertise in designing and implementing scalable, high-performance data platforms using modern technologies such as MongoDB, Redis, Elasticsearch, and other tools that enable fast data storage, querying, and exposure. This role requires a strategic thinker with hands-on technical skills and a proven track record of delivering enterprise-grade solutions. Key Responsibilities: • Architect and design AI-driven data platforms to support investment banking applications and regulatory reporting needs., • Define and implement data storage, retrieval, and exposure strategies leveraging technologies like MongoDB, Redis, Elasticsearch, and other NoSQL/relational systems., • Collaborate with business stakeholders, data scientists, and engineering teams to deliver solutions that meet performance, scalability, and compliance requirements., • Ensure data provenance, integrity, and security across all layers of the architecture., • Drive innovation in AI integration, including model deployment, inference optimization, and real-time analytics., • Establish best practices for data architecture, including caching strategies, indexing, and query optimization., • Provide technical leadership and mentorship to engineering teams., • Partner with cloud and infrastructure teams to ensure optimal deployment and cost efficiency., • Maintain compliance with regulatory standards and internal governance frameworks. Required Skills & Experience: 15+ years of experience in technology organizations, with a strong focus on architecture and enterprise solutions. • 5+ years in a similar capacity as a Technical Architect, specifically working with:, • MongoDB (schema design, performance tuning), • Redis (caching, high-speed data access), • Elasticsearch (search and indexing strategies), • Other modern data technologies for fast storage and retrieval., • Strong knowledge of AI/ML integration within enterprise architectures., • Expertise in data modelling, distributed systems, and microservices architecture., • Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes)., • Excellent understanding of data governance, security, and compliance in regulated environments., • Strong communication and stakeholder management skills.

A well-established professional services business is hiring a Data Engineer to play a key role in building and optimising its modern cloud data environment. This is a technical, hands-on role with team management responsibilities – ideal for someone who wants to stay close to the tech while guiding and developing a growing team. Role: Data Engineer Salary: £70,000 - £80,000 Location: Guildford – 5 days per week onsite What you’ll be doing: • Design, build, and optimise scalable data pipelines and architecture, • Work hands-on with SQL, PySpark, Databricks, Azure, and Data Lake to deliver high-performance solutions, • Translate business needs into technical requirements and data-driven solutions, • Ensure best practice in data governance, quality, and security, • Manage and mentor engineers, helping them grow while contributing directly to delivery, • Support the company’s AI roadmap by developing and scaling the data environment What you’ll need: • Proven experience as a Data Engineer or Senior Data Engineer with some team leadership responsibilities, • Strong technical expertise with PySpark, Databricks, Azure, and Data Lake, • Deep understanding of data architecture and ETL processes in cloud environments, • The ability to balance coding and technical delivery with people management, • Excellent problem-solving skills and the energy to thrive in a fast-paced environment What’s on offer: • Salary £60,000 - £80,000, • Onsite role – Guildford HQ, 5 days per week, • The chance to work on cutting-edge data projects within a modern data stack, • Play a central role in building the foundations that will fuel the company’s AI roadmap, • A brilliant opportunity for a highly energetic, ambitious technical professional who is passionate about data and ready to step up into a role combining delivery with people management

Hey! We're team Granola 👋 If you haven't already, you should check out ___, and ___. We're looking for an engineer to help us scale our systems and unlock Granola for the next 100x users. In this role, you will deep dive into scaling challenges, build secure and reliable infrastructure, and develop robust backend solutions that power exciting new features. In this role, you will: • Own the evolution and scaling of our backend infrastructure, • Design and implement performant APIs and services, • Build infrastructure to support cutting-edge AI capabilities, • Optimise database performance and query efficiency, • Continuously improve reliability and observability through enhanced monitoring and alerting, • Collaborate cross-functionally to ensure our infrastructure supports continuous product innovation Your background looks something like: • Engineering experience in tech and product-driven environments, • Strong proficiency in TypeScript and Node.js, • Hands-on experience with cloud infrastructure and infrastructure as code (we build on AWS using Terraform), • Deep knowledge of relational databases (we use PostgreSQL), • Familiarity with serverless architectures (we love lambdas!), • Solid understanding of security best practices and performance optimisation As a person, you… • Are first and foremost a builder, • Are excited to work in-person from our office in London (most of the time), • Love working in a startup environment (you either have experience working in a startup or are really drawn to the zero-to-one phase), • Value working with people who are kind, ambitious, and pragmatic, • Have an interest in infrastructure for AI/ML (direct experience is a bonus, but not required), • Thrive in a fast-paced environment with evolving requirements and shifting priorities About the opportunity We are living in the most exciting time for tool builders since ___ in 1968. We want to assemble the best crew to build this future together, here in London. Our compensation philosophy is to pay slightly above market on salary and above market on equity. We do our best work in person, and so our team spends time together five days per week in our new, bright, and spacious office at Old Street. We are happy to offer relocation assistance to candidates who'll be moving to London to join us. Lastly, we think amazing talent comes from all kinds of life journeys and experiences. If what is written above speaks to you, whether you look like a fit on paper or not, please reach out.

Automat-it is where high-growth startups turn when they need to move faster, scale smarter, and make the most of the cloud. As an AWS Premier Partner and Strategic Partner, we deliver hands-on DevOps, FinOps, and GenAI support that drives real results. We work across EMEA and the US, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech. We’re looking for a Principal Data Architect to help shape how high-growth startups build and scale on AWS. In this role, you’ll design and deliver end-to-end data and analytics solutions - from architecture and pipelines to visualization and insights - guiding customers from concept through production. You’ll work closely with startup founders, technical leaders, and account executives to create scalable, cost-efficient architectures that drive real business impact. 📍 Work location - hybrid from London If you are interested in this opportunity, please submit your CV in English. Responsibilities: • Design, develop, and implement data & analytics solutions to meet business requirements and create cost-efficient, highly available, and scalable customer solutions, including Well-Architected reviews and SoW., • Research and analyze current solutions and initiate improvement plans., • Collaborate with other engineers and stakeholders to ensure solutions are designed and developed according to best practices., • Lead workshops, POCs, and architecture reviews with startup customers, conferences, webinars, and more., • Stay up to date on Data Engineering and Analytics trends and contribute to internal enablement., • Frequent travels - locally (on-demand to meet with customers and partners and attend local events) and abroad (at least once a quarter). Requirements: • 3+ years of hands-on experience in AWS, including solution design, migration, and maintenance, • 2+ years in customer-facing technical roles (e.g., SRE, Cloud Architect, Customer Engineer), • Production experience with AWS infrastructure, data services, and real-time data processing, • Proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation, DynamoDB), • Skilled in AWS analytics tools (Glue, Athena, Redshift, EMR, Kinesis, MSK, QuickSight, dbt), • Understanding of information security best practices, • Strong verbal and written communication in English and local language, • Ability to lead end-to-end technical engagements and work in fast-paced environments, • AWS Solutions Architect – Associate certification, • Experience with Iceberg– an advantage, • Experience with Kubernetes, CI/CD, and DevOps tools – an advantage, • Experience with ETL processes, data lakes, and pipelines – an advantage, • Experience writing SOWs, HLDs, and effort estimates – an advantage, • AWS Professional or Data Analytics/Data Engineer certifications – an advantage Benefits: • Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.), • International work environment, • Referral program – enjoy cooperation with your colleagues and get a bonus, • Company events and social gatherings (happy hours, team events, knowledge sharing, etc.), • English classes, • Soft skills training Country-specific benefits will be discussed during the hiring process.Automat-it is committed to fostering a workplace that promotes equal opportunities for all. We firmly believe that cultivating a diverse workforce is crucial to our success. Our recruitment decisions are grounded in your experience and skills, recognizing the value you bring to our team.

We are looking for a DevOps Engineer to join our team and actively engage with and support DevOps technology adoption and modernization by all application development teams at the firm. The candidate will provide implementation and support services for our existing and prospective DevOps technology stack, as well as work directly with developers to improve their overall experience and productivity via implementing our DevOps tools and processes. Additionally, the candidate will focus on modernization efforts, including the use of containers and container orchestration systems. The role will also work closely with the Cloud Engineering and Security groups to ensure that our DevOps technologies continue to support our cloud adoption, primarily via AWS and Azure. Responsibilities include: • Implement and maintain the system stability, security, and performance of on-premise DevOps tools, including Atlassian's suite (Jira, Confluence, Bitbucket, Bamboo), JFrog, and others., • Design and maintain scalable and reliable CI/CD pipelines to support software development and deployment processes across a wide range of technologies, including both native and containerized applications written in Java, C++, Python and other languages, including container deployment to Kubernetes., • Collaborate with application teams to integrate DevOps tools and methodologies into existing workflows, as well as containerize existing native applications., • Develop automation scripts and frameworks to streamline development and operational tasks., • Centrally monitor and manage code repositories, build systems, and deployment environments., • Provide technical guidance and support to development teams regarding DevOps best practices., • Evaluate and implement new DevOps tools and technologies. Requirements: • 4-6 years of proven experience in managing on-premise versions of DevOps tools, particularly Atlassian's suite and JFrog, as well as designing CI/CD systems involving both native and containerized applications, including deploying containerized applications onto Kubernetes., • Strong understanding of CI/CD principles and experience with pipeline design and implementation, especially with Atlassian Bamboo and Jenkins., • Strong proficiency in scripting languages such as Python, Bash, or PowerShell., • Solid understanding of version control systems, particularly Git., • Moderate proficiency in Java and C++, especially for basic code comprehension and ecosystem tooling (e.g. package management and compilation), • Moderate proficiency in infrastructure as code and configuration management tools such as Terraform and Ansible, as well as similar tools in the Kubernetes ecosystem including Helm and ArgoCD., • Excellent problem-solving skills and the ability to work independently or as part of a team., • Strong communication and collaboration skills to effectively interact with various stakeholders within the organization.

My client, a successful quantitative investment manager, is looking for a Senior DevOps engineer to join their ML ops team and to implement testing, development, automation tools, and IT infrastructure for the ML platform team and its users. They are looking for a senior with 10+ years of experience and proficient in AWS and Terraform. Key Responsibilities: • Implement testing, development, automation tools, and IT infrastructures for the ML Platform team and its users., • CI/CD tools, handling configuration management., • Define and establish processes for testing, development, release, updates, and support in DevOps operations., • Drive continuous improvement by building pipelines for integration, development, and deployment., • Implement and maintain monitoring systems., • Maintain and enhance the team's cloud infrastructure., • Promote and implement automation processes., • Enhance security protocols by conducting vulnerability assessments and risk management to deploy cybersecurity measures. Technical • Proficient in Terraform and AWS., • Solid experience with CI/CD, ideally with GitLab CI and Jenkins., • Extensive experience using Docker and managing large-scale Docker images within an organization., • Skilled in setting up and maintaining monitoring systems.

Senior Platform Engineer Salary: £80,000 - £90,000 Location: London/Hybrid At Healthera, we’re transforming how people access medicines and healthcare making it simpler, faster and more connected. As one of the UK’s fastest growing health tech companies, we partner with over 1,700 pharmacies and support more than a million patients through our market leading digital pharmacy platform, enabling seamless prescriptions, medicine delivery and access to clinical services all powered by innovative, patient centred technology. Role Overview We’re hiring a Senior Platform Engineer to own and evolve our cloud platform, setting standards and best practices across backend services, frontend static and dynamic deployments, and the GCP infrastructure that underpins them. This role is primarily focused on platform engineering, while remaining deeply hands-on with backend engineering, with responsibilities evenly split between the two. You’ll act as a force multiplier for engineering teams enabling fast, self-service access to infrastructure, CI/CD pipelines and developer tooling, while embedding security-by-default, reliability and scalability into the platform. You’ll modernise legacy systems, build new backend capabilities, and make pragmatic engineering decisions that balance delivery speed, quality and long-term maintainability. Core Responsibilities Platform Engineering • Act as a platform enabler, reducing friction and accelerating delivery for product teams, • Provide secure, self-service infrastructure on GCP, managed exclusively via Terraform, • Design and maintain CI/CD pipelines that enable fast, safe, and repeatable deployments, • Embed security and compliance by default through DevSecOps practices and platform guardrails, • Implement observability as a standard: metrics, logs, traces, alerts, SLIs/SLOs, • Define and own cost and observability standards, including budgets, spend alerts, unit economics, SLIs/SLOs, and operational dashboards, • Own, maintain, and evolve backend services across legacy and greenfield systems, • Design and implement scalable backend architectures using Node.js, TypeScript, and NestJS, • Build and operate RESTful APIs and event-driven systems (queues/topics), • Improve performance, resilience, and data models across MongoDB, ElasticSearch, and relational databases, • Implement backend security best practices: authentication, authorization, data protection, and GDPR compliance, • Contribute to architectural decisions and long-term backend strategy Why Join Healthera You’ll be a key technical enabler, helping teams move faster by giving them safe, reliable ways to build and ship. You’ll focus on creating solid foundations, so engineers don’t have to think about infrastructure, security, or costs every time they deliver. Your work will directly support a healthcare platform used by thousands of patients every day.

Job Title: Senior Data Engineer Summary: The Senior Data Engineer will play a key role in designing, developing, and delivering high-quality, reliable data solutions that support the organisation’s strategic data initiatives. This role requires deep technical expertise in modern data engineering practices, strong analytical and problem-solving abilities, and the capability to collaborate effectively with cross-functional teams. Key Responsibilities • Design, build, and optimise scalable data pipelines and workflows., • Develop and maintain data models and data warehouse structures to support analytical and operational needs., • Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and deliver robust data solutions., • Troubleshoot data discrepancies, performance issues, and system errors., • Ensure compliance with data security, governance, and regulatory standards., • Support and enhance existing data engineering processes and platforms. Essential Skills & Knowledge SQL Server Proficiency: • Strong expertise in Microsoft SQL Server and SQL., • In-depth understanding of data warehousing principles and modelling concepts., • Proven experience building and maintaining ETL/ELT processes., • Good understanding of data security best practices and compliance frameworks (e.g., GDPR)., • Snowflake Data Cloud and related technologies (e.g., Fivetran, DBT, Dataiku, Collibra preferred)., • Microsoft Azure, including Azure Synapse and Azure DevOps., • Microsoft SQL Server tools, including Master Data Services, SSIS, SSAS, and SSRS., • Programming experience with Python and C#., • Microsoft Power BI for data visualisation., • Microsoft Office 365.

We are seeking a Microsoft CX & CCaaS Implementation Specialist with deep expertise in MS Dynamics CCaaS, MS Dynamics 365 CRM Customer Service, Microsoft Copilot Studio, and Azure Communication Services to design, build, and operationalize next-generation customer experience (CX) and contact-center-as-a-service (CCaaS) environments. This role sits at the intersection of Dynamics 365 CRM Service, Microsoft Dynamics CCaaS, and Copilot-driven automation, enabling seamless omnichannel engagement, agent assist, and AI-driven case management. At TeKnowledge, your work makes an impact from day one. We partner with organisations to deliver AI-First Expert Technology Services that drive meaningful impact in AI, Customer Experience, and Cybersecurity. We turn complexity into clarity and potential into progress—in a place where people lead, and tech empowers. You’ll be part of a diverse and inclusive team where trust, teamwork, and shared success fuel everything we do. We push boundaries, using advanced technologies to solve complex challenges for clients around the world. Here, your work drives real change, and your ideas help shape the future of technology. We invest in you with top-tier training, mentorship, and career development—ensuring you stay ahead in an ever-evolving world. Why You’ll Enjoy It Here: • Be Part of Something Big – A growing company where your contributions matter., • Make an Immediate Impact – Support groundbreaking technologies with real-world results., • Work on Cutting-Edge Tech – AI, cybersecurity, and next-gen digital solutions., • Thrive in an Inclusive Team – A culture built on trust, collaboration, and respect. We Are TeKnowledge. Where People Lead and Tech Empowers. Key Responsibilities • Design and configure Dynamics 365 Customer Service, Microsoft CCaaS, and Copilot Studio solutions across voice, chat, and digital channels., • Integrate Microsoft CCaaS, Dynamics 365 with Azure Communication Services (ACS), Power Platform, and third-party CRMs., • Develop and maintain reusable reference architectures, solution blueprints, and deployment templates for D365 + CCaaS synergies., • Build and maintain demo environments, accelerators, and proof-of-concept demonstrating integrated D365 Service + Copilot + CCaaS capabilities., • Translate presales solution designs into implementation-ready configurations and guide delivery teams through setup and go-live., • Own UAT setup, final validation, cutover, and hypercare readiness., • Implement Copilot Studio conversational flows integrated with Dynamics 365 cases, knowledge bases, and Power Virtual Agents., • Design intelligent routing, agent assist, and self-service automation leveraging Microsoft AI services., • Build and publish custom connectors, plug-ins, and data adapters to unify customer journeys., • Create technical BoQs, solution documentation, and implementation playbooks for presales and delivery teams., • Support solution sizing, feasibility analysis, and migration assessments (e.g., from Genesys, Avaya, Kore.ai, or Cognigy)., • Ensure alignment with Microsoft Cloud Adoption Framework, Security & Compliance, and Well-Architected Framework standards., • Continuously refine solutions to enhance agent productivity, CX analytics, and service automation maturity. Required Skills & Experience • Proven hands-on implementation experience with Microsoft Dynamics 365 Customer Service, CCaaS (Digital Contact Center Platform), and Copilot Studio., • Strong understanding of omnichannel engagement, case management, routing logic, and agent productivity tools., • Experience in CCaaS migrations and integration architectures using Azure Communication Services and Power Automate., • Ability to build end-to-end CX solutions connecting Dynamics 365, Copilot, Azure Open AI Services, and external systems such as WFM., • Excellent technical documentation skills., • Familiarity with Azure Foundry, Power Platform, Dataverse, and Azure Cognitive Services. Preferred Qualifications • Microsoft Certifications: MB-910 / MB-920 (Dynamics 365 Fundamentals), MB-230 (Dynamics 365 Customer Service Functional Consultant), AI-102 (Azure AI Engineer Associate), Azure Communication Services, and/or Copilot Studio specializations., • Prior experience in presales solution engineering, consulting, or technical evangelism roles., • Demonstrated success in creating accelerators, integration templates, or solution IP within Microsoft ecosystems., • Understanding of contact-center KPIs, journey analytics, and CX transformation frameworks.

Senior Security Engineer Salary: £120-140k + 20-40% Bonus Location: London (Hybrid working – 2-3 days in office per week) I’m currently working with one of the most innovative, tech-driven Investment Management firms who are looking to bring in a Senior Security Engineer to work directly alongside their newly appointed Head of Security Engineering and lead in the build-out of their cloud-native Infrastructure capability. Highly technical position where you will be responsible for not just assessing and threat modelling novel concepts and services to introduce across Security and the wider Tech functions; but leading in the actual design, configuration and implementation. Previous experience in Software Security / Cloud Security Engineering capacity with the ability to comfortably read, write and script in Python will be essential as an in-depth knowledge of deploying Infrastructure as Code, Containers, CI/CD concepts and policy as code will be a minimum requirement. This is genuinely an incredible opportunity to build something truly innovative, with the backing of one of the most respected leaders in Security, as well as an incredibly forward-thinking wider Tech division. You have the chance to put your stamp on one of the most ambitious Tech Transformations for one of the most renowned Investment Management firms in the UK. Responsibilities • Perform hands-on security threat modelling, risk assessment and vulnerability remediation., • Evaluate, architect, implement and support security focused tools and services., • Work closely with Development teams to ensure security and privacy are built in by design, automating tasks wherever possible., • Promote a security focused culture across the organization. Requirements • Significant experience working as a Cloud Security Engineer in DevSecOps environments with an in-depth knowledge of Infrastructure as Code (Terraform), Containers and CI/CD concepts., • Significant knowledge of AWS and implementing AWS Well Architected Security pillar., • Breadth of knowledge of cloud-based IAM/PAM and authentication concepts., • Strong proficiency in coding/scripting/development languages – Python, Terraform, Java ideally, • Experience building and fine-tuning security tooling to be deployed in cloud environments.

Cybersecurity Engineer (Hands-On) — IT Separation / Carve-Out We’re looking for a hands-on Cybersecurity Engineer to build, configure and validate the core security controls needed for a major IT separation / carve-out. This is an implementation-heavy role — you’ll be engineering the security stack, not writing policy. Key Responsibilities • Deploy and harden controls across Identity, Endpoint, Network, M365/Cloud, and Data Protection, • Implement/tune Entra ID/AD, MFA & Conditional Access, JML, PAM, EDR/Defender, Intune, vuln scanning/patch baselines, • Engineer network security: firewalls, segmentation, VPN, ZTNA/SASE, • Configure and integrate Sentinel/SIEM, alerting, and operational runbooks for BAU handover Ideal Background • Strong hands-on cybersecurity engineering background (7+ years ideal), • Proven delivery across M365 Security (Defender, Intune, Entra ID, Conditional Access, Sentinel), • Practical experience implementing PAM (e.g., Delinea/CyberArk) and tooling integrations, • Prior experience on M&A carve-outs / IT separations (highly preferred) Nice to have • OT/ICS or data centre security exposure, Zero Trust programmes, experience with vendors like Zscaler/Fortinet/CrowdStrike Interested? Send your CV with a short note on your carve-out experience and the security tools you’ve implemented end-to-end and we can take it from there.

Cloud Architect – M365, Identity & Zero Trust Contract | Complex Transformation Environment We’re supporting a client delivering a major modernisation of their end-user, identity, and security platforms. The focus is on Microsoft 365 adoption, identity-led security, and a zero-trust network architecture operating at scale in a highly regulated environment. This role suits a hands-on Cloud Architect who can operate comfortably at both strategy and delivery level, influencing design decisions while staying close to implementation. What you’ll be working on • Designing and shaping a Microsoft 365–centric end-user and identity platform, • Defining and evolving zero-trust / SASE architecture and security controls, • Producing clear, pragmatic architecture designs (high-level through to detailed), • Creating and maintaining core architecture artefacts (identity flows, security patterns, standards), • Supporting delivery teams with architectural direction, challenge, and assurance, • Assessing options and trade-offs across cost, risk, resilience, and operability, • Embedding cyber security by design, including threat modelling and risk reduction, • Defining technical standards and guardrails aligned to enterprise and regulatory requirements What we’re looking for • Proven experience as a Cloud or Enterprise Architect in complex environments, • Strong knowledge of Microsoft Cloud (M365, Azure, Entra ID, Power Platform), • Solid understanding of identity-centric design and zero-trust networking, • Experience designing end-user compute and identity platforms at scale, • Comfortable working across multiple teams and stakeholders, • Strong analytical skills with the ability to cut through ambiguity, • Experience operating in regulated or security-conscious organisations Nice to have • Experience with Okta or equivalent identity platforms, • Exposure to Zscaler or similar zero-trust/SASE technologies, • Background in public sector or heavily regulated industries Additional information • Security Clearance (SC) required, • Hybrid working model (details discussed at screening stage) Why Entasis Partners We work with clients tackling complex, high-impact transformation challenges and place a strong emphasis on quality, pragmatism, and long-term outcomes. You’ll be trusted to operate as a true architecture practitioner, not just a box-ticker.

My client, a leading hedge fund, is seeking a Senior Infrastructure Engineer to join their in-house engineering team. This individual will be responsible for designing, implementing, securing, and managing modern infrastructure services - partnering closely with Information Security and Support to deliver reliable trading platforms across the enterprise. This is an opportunity to work hands-on with the latest Microsoft technologies - as well as core network infrastructure spanning LAN/WAN, Wi-Fi, firewalls, and cloud connectivity. You’ll contribute to service design and drive automation. The ideal candidate should bring strong TCP/IP networking fundamentals, proven scripting/automation skills (PowerShell or Python), and experience delivering cloud infrastructure (IaaS) and M365 deployments/migrations. Proficiency with Conditional Access, CI/CD pipelines, and Infrastructure-as-Code (e.g., Terraform) is essential. Additional exposure to Exchange Online/Server, Teams, SharePoint, OneDrive, desktop build/deploy automation (Windows 365/AVD), and config management tools such as Ansible or Puppet will be highly advantageous. To secure the most relevant hire, my client is committed to offering a highly competitive package alongside excellent benefits and a collaborative environment where engineers can thrive and make a visible impact. Apply now via the link below or send your CV directly to .

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. The work: The Staff Software Engineer will help lead and build the next generation of crypto custody platform that enable banks to secure their funds and build an Internet of Value. Ripple’s distributed financial technology outperforms today’s banking infrastructure by driving down costs, growing processing speeds and delivering end-to-end transparency into payment fees, timing and delivery! What you'll do: • Lead the build and scale of a high-security crypto-custody platform, expanding to AML/Travel Rule compliance, staking, tokenization and fully automated transaction workflows across supported chains., • Work with wider technical teams on the design, deployment and continuous improvement of backend applications, • Be a technical domain leader, provide technical guidance to your team and own the delivery of features., • Participate in raising our standard of engineering excellence by implementing standard methodologies for architecture, coding, testing, and deploymentWhat you'll bring:, • 8+ years of hands-on software development and architecture experience on large scale distributed backend systems, with the last 5+ years in Java(with spring framework), and 4+ years experience working as a tech lead and mentoring other specialists, • Experience in building transactional systems (preferably in payments / banking / e-commerce domains), backed by an RDBMS., • Experience building cloud applications on AWS or Azure, and technologies such as Docker, Kubernetes., • Experience with Agile development of distributed services, with a focus on robust software design, scalability, availability and security, • Eagerness to work openly and collaboratively with a diverse team, • Ability to encourage and drive engineering standard processes, • A positive demeanor and a passion for sharing knowledge WHO WE ARE: Do Your Best Work • The opportunity to build in a fast-paced start-up environment with experienced industry leaders, • A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning., • Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team., • In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in., • Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team, • Competitive salary, bonuses, and equity, • Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support, • Employee giving match, • R&R days so you can rest and recharge, • Generous wellness reimbursement and weekly onsite & virtual programming, • Generous vacation policy - work with your manager to take time off when you need it, • Industry-leading parental leave policies. Family planning benefits.

Exceptional opportunity for an experienced Full Stack Developer to join a groundbreaking AI-powered video technology company revolutionising how we capture and experience live events. The future of media is multi perspective, interactive, and AI-driven. London's tech sector is at the forefront of this transformation, where innovative start ups are redefining storytelling through cutting-edge video technology and artificial intelligence. This Senior Full Stack Developer position offers the rare chance to shape the technical architecture of a platform that's changing how millions experience concerts, festivals, sports, and live events worldwide. About the Company This award winning London based technology company is pioneering multi-view video innovation, backed by recognition from Nasdaq, the European Innovation Council, and Innovate UK. Their AI-powered platform enables audiences to explore events from multiple camera angles simultaneously, creating personalised viewing experiences that blend entertainment with intelligent media delivery. Operating at the intersection of video streaming, artificial intelligence, and cloud infrastructure, they're scaling globally across media, events, and brand activations. The Opportunity As Senior Full Stack Developer, you'll serve as a technical leader within the product and engineering team, working directly alongside the CTO, product owner, and founders. This hands-on leadership role combines active development with technical mentorship, architectural decision-making, and Agile process ownership. You'll be the primary technical escalation point whilst remaining deeply involved in building scalable, secure solutions that power next-generation video experiences. Based in London with hybrid flexibility, this role offers genuine influence over both technology choices and engineering culture. Here's what you'll be doing: • Lead full stack development across front-end and back-end systems, translating product vision into robust technical implementations, • Collaborate directly with the CTO to architect scalable solutions and define the technical roadmap supporting long-term growth, • Drive Agile ceremonies and sprint delivery, working closely with the product owner to prioritise features and maintain development velocity, • Act as the main technical escalation resource, troubleshooting complex issues whilst maintaining high code quality standards through reviews and mentorship, • Design and optimise APIs, microservices architectures, and cloud infrastructure for performance, security, and scalability, • Support CI/CD pipelines, deployment processes, and DevOps responsibilities including containerised environments and monitoring systems, • Mentor junior developers, introducing best practices and modern development workflows including AI-assisted coding tools, • Collaborate with AI and R&D teams to integrate emerging technologies in video processing, data systems, and cloud platforms, • 5+ years professional experience as a Full Stack Developer, preferably within start-up or scale-up environments where agility and ownership are essential, • Proven technical leadership experience, whether mentoring developers, leading projects, or driving architectural decisions, • Expert proficiency in JavaScript/TypeScript with modern frameworks such as React, Next.js, or Vue for building responsive front-end experiences, • Strong back-end capabilities with Node.js and Express, plus experience in at least one of C#, Java, or Python for diverse system requirements, • Demonstrated experience designing scalable RESTful APIs, microservices architectures, and both SQL and NoSQL database solutions, • Solid understanding of cyber security principles including secure coding practices, encryption, authentication, and access management, • Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerisation technologies including Docker and Kubernetes, • Familiarity with CI/CD tools, infrastructure as code, performance monitoring, and modern DevOps practices, • Strong communication skills enabling effective collaboration with technical teams and non-technical stakeholders alike You must have the right to work in the United Kingdom. Visa sponsorship may be available for exceptional candidates. Key perks and benefits: • Competitive salary package between £45,000-£55,000 reflecting your experience and the mid-level market rate for Full Stack Developer roles in London, • Share options available following successful completion of probationary period, giving you genuine ownership in the company's success, • Flexible hybrid working arrangements with options for remote work or London office collaboration based on your preferences, • Direct collaboration with C-level executives and exposure to strategic decision-making in a scaling technology business, • Professional development opportunities to expand your skills in AI, video technology, and cloud architecture The convergence of artificial intelligence and video technology represents one of the fastest-growing sectors in the UK tech industry. Full Stack Developer professionals with experience in cloud platforms, real-time data processing, and scalable architectures are in exceptional demand as companies race to deliver next-generation media experiences. This sector offers continuous learning opportunities, exposure to cutting-edge technologies, and the chance to work on products that millions of people will use. For developers seeking meaningful impact alongside technical challenge, AI-powered media platforms provide the perfect career accelerator in London's thriving tech ecosystem. This exciting Senior Full Stack Developer opportunity in London is brought to you by The Opportunity Hub UK – connecting ambitious tech professionals with career-defining roles in innovation-led companies.

Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few! Job Description Your Career As a Professional Services Consultant, you will be a pivotal technical expert, spearheading the successful deployment and initial configuration of our Prisma Access Browser (PAB) solution for customers. This is a highly impactful, hands-on role where you will directly translate customer security requirements into a fully operational and optimized cloud-delivered browser security solution. Working closely with customers, solution consultants, and project managers, you will implement PAB according to best practices and customer-specific needs. Beyond deployment, you will be a proactive driver, navigating complex environments, anticipating roadblocks, and accelerating our customers' journey to a Zero Trust architecture. You will solidify customer partnerships with Palo Alto Networks by ensuring they successfully adopt and maximize the value of PAB. If you thrive on technical challenges, leading complex deployments, and being the face of strategic, results-driven implementation, this is your next career move. Your Impact • Proactively Drive Technical Deployment: Execute the complete technical lifecycle of PAB implementation, including secure tenant setup and complex Identity Provider (IdP) integrations. Take ownership of the deployment timeline, proactively managing and overcoming any customer hesitations or delays to ensure rapid time-to-value., • Translate Strategy to Security Policy: Convert customer business and security designs into practical, effective PAB configurations, focusing on access controls, data loss prevention (DLP) rules, and web security policies., • Drive Adoption: Guide customers through the secure and large-scale deployment of the PAB extension/client to end-user devices using various enterprise deployment methods (e.g., GPO, MDM)., • Be a Proactive Technical Advisor: Serve as the go-to expert for PAB best practices, advanced feature utilization, and performance tuning, actively monitoring environments to pre-emptively identify, recommend, and resolve potential issues or areas for security posture improvement., • Resolve Complex Escalations: Act as the primary technical escalation point, performing deep-dive root cause analysis and coordinating across Support, Engineering, and Product teams for timely resolution., • Document and Transfer Knowledge: Create high-quality, customer-specific "as-built" documentation and deliver comprehensive operational training and knowledge transfer to customer administrators., • Advocate for the Customer: Capture and translate valuable field feedback into actionable feature requests, serving as a critical internal voice for product improvement and development., • Maintain expert-level understanding of Prisma Access Browser: Stay updated on latest product releases, security trends, and industry best practices. Actively participate in relevant training and certification programs to maintain technical proficiency. Qualifications Your Experience • 8+ years of experience required in a hands-on, technical, customer-facing role such as Professional Services Consultant, Technical Account Manager, or Senior Sales Engineer., • Proven track record of proactive engagement; the ability to take initiative to push customers toward successful deployment, manage project risks, and navigate organizational challenges or pushback to maintain project velocity., • Expert-level knowledge of core networking concepts (TCP/IP, DNS, HTTP/S) and enterprise security principles (Zero Trust, SASE, Firewall, Proxy, VPN)., • Demonstrated ability to independently lead and execute complex technical projects in customer environments, driving deployment to successful completion., • Advanced analytical and troubleshooting skills with a methodical approach to identifying, diagnosing, and resolving technical issues (Root Cause Analysis)., • Exceptional verbal and written communication skills with a proven ability to convey complex security topics to diverse technical and non-technical stakeholders., • Experience with Identity and Access Management (IAM) and authentication protocols, specifically integrating solutions with IdPs like Azure AD or Okta using SAML 2.0., • Familiarity with cloud and SaaS security architecture and the challenges associated with securing modern applications and browsers., • Knowledge of Prisma Access deployment, architecture, and traffic flows. These skills are desired and will be prioritized, accelerating time-to-value in the role: • Basic knowledge of enterprise tools for large-scale device deployment (e.g., Microsoft Intune, Jamf, SCCM)., • Industry certifications such as Palo Alto Networks (PCNSA, PCNSE), CISSP, or cloud-specific security certifications., • Basic scripting ability (e.g., PowerShell, Python) for automation or data manipulation. Additional Information The Team Our Professional Services team is critical to our success and mission. As part of this team, you enable customer success by providing support to clients post-sale. Our dedication to our customers doesn’t stop once they sign — it evolves. As threats and technology evolve, we stay in step to accomplish our mission. You’ll be involved in implementing new products, transitioning from old products to new, and fixing integrations and critical issues as they are raised. But you won’t wait for them to be raised, you’ll seek them out, too. We fix and identify technical problems with a pointed focus of providing the best customer support in the industry. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $140000 - $192500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found ___. Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

Locai Labs is The British Foundational AI Company based in Paddington London. We are dedicated to building world class large language models at the forefront of cost and efficiency. Our mission is to advance cutting-edge AI from within the UK by combining deep technical innovation with engineering excellence to create powerful scalable models that compete on the global stage. Our models are designed not just for performance, but for real-world deployment powering bespoke agentic applications that solve complex challenges across enterprise and consumer domains. The Role We are seeking a DevOps / Platform Engineer to maintain and enhance our existing platform infrastructure, with opportunities to contribute to backend development when needed. Our systems are already live and in active use, so your focus will be on reliability, performance, automation, observability, and clean, maintainable Infrastructure-as-Code. You’ll also support Python and Node.js backend services. This role is centred on operational excellence, continuous improvement, and technical ownership. The position is based at our Paddington HQ and reports directly to the Chief Technology Officer (CTO), ensuring close alignment with our technical vision and strategic roadmap. Responsibilities • Maintain and evolve cloud infrastructure, primarily on Google Cloud Platform (GCP), with some exposure to AWS and Azure, • Write, review, and manage modular, reusable Terraform code, • Operate and enhance CI/CD pipelines using GitHub Actions, • Containerise and deploy backend applications using modern tooling (e.g., Docker, Kubernetes), • Implement and manage comprehensive logging, monitoring, and alerting systems, • Contribute to the backend codebase for service integrations, internal tooling, and incident resolution, • Improve developer workflows and internal automation to increase team velocity, • Proven experience operating production-grade systems in a live environment, • 1–3 years experience in DevOps, Cloud Engineering, or Platform Engineering roles, • Hands-on experience with Infrastructure-as-Code using Terraform (modular and reusable patterns preferred), • Strong foundation in Linux, networking, and container technologies, • Experience deploying and managing applications on at least one major cloud provider (GCP preferred; AWS or Azure acceptable), • Experience working with relational databases in production environments (e.g., Postgres, MySQL), including basic performance troubleshooting, migrations, backups, and access control., • Familiarity with observability tools such as Prometheus, Grafana, ELK stack, or OpenTelemetry, • Experience with container orchestration platforms, particularly Kubernetes, • Ability to systematically troubleshoot and debug distributed systems, • Production experience with Google Cloud Platform (GCP), • Knowledge of security and IAM best practices, including role design, policy management, and access boundaries, • Experience optimising CI/CD pipelines for speed, reliability, and developer experience (e.g., caching, incremental builds, rollback strategies) You will join a small, highly technical team where your voice will be heard, and your contributions will directly shape our platform and products. We value ownership, curiosity, and a collaborative mindset. You’ll work onsite at our Paddington HQ, embedded within a close-knit engineering team that values transparency, continuous learning, and impactful work. This role reports directly to the CTO, offering a unique opportunity to influence technical direction from the ground up. Application Process As part of your application, please complete the accompanying form in addition to submitting your CV. Interview Stages: • Application Review – We assess your background and experience., • Take-Home Technical Assessment – A practical exercise to evaluate your engineering approach and problem-solving skills., • Technical & Team Fit Interview – A virtual discussion covering your technical expertise, past projects, and cultural alignment., • In-Person Assessment at HQ – A final visit to our Paddington office for deeper technical discussions, collaboration exercises, and team interactions., • Offer – Successful candidates will receive a formal offer following the final stage. If this sounds like you, no need to send us your CV. Just fill in the form below 👇 Strictly no agencies or recruiters. We are only accepting direct applications from candidates.

About the Role Join a mission-critical team within our firm’s cutting-edge platform engineering function, supporting platform for front-office developers (quants and strategists). This is a unique opportunity to remain hands-on in engineering while also leading a focused, high-impact team. You’ll be at the forefront of data and cloud-native engineering, working with modern technologies across AWS, On-premise kubernetes, Python, and data pipelines, while engaging directly with key internal platforms and front-office business developers. If you are passionate about solving hard technical problems, staying current with trends like AI Engineering, and want to make a difference in a globally respected financial institution, this role is for you. The successful Senior AWS Data Engineer candidate will have the chance to make a significant impact in designing the platform and working on cutting-edge technologies like Databricks and Snowflake in the heart of a leading global Investment Banks’ front-office. This is a rare greenfield role that offers the opportunity to solve the ultimate data pipeline challenge faced by all banks, working closely with various businesses and gaining an overview of many different sectors. What We’re Looking For • 10 + years, hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools., • Strong experience engineering in a front-office/capital markets environment., • Previous experience in implementing best practices for data engineering, including data governance, data quality, and data security., • Proficiency in data processing and analysis using Python and SQL., • Experience with data governance, data quality, and data security best practices., • Strong knowledge of market data and its applications., • Understanding of Generative AI concepts, along with hands-on experience in developing and deploying AI applications in real-world environments. Leadership Responsibilities • To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures., • Lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements., • Demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard., • Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment., • Manage and mitigate risks through assessment, in support of the control and governance agenda., • Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Nice to Have • Experience with other data engineering tools and technologies., • Knowledge of Machine Learning / AI and data science concepts. Accountabilities • To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure., • Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data., • Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures., • Development of processing and analysis algorithms fit for the intended data complexity and volumes., • Collaboration with data scientist to build and deploy machine learning models.

VP of Platform Engineering | Fintech | London (Ideally 1-2 days in London) A scaling, global fintech, powering top-tier e-commerce, payments, and tech brands is looking for a VP of Platform Engineering to lead the next phase of platform maturity. This is a senior leadership position it requires a 50:50 balance of: • deep technical background in architecting and operating high performance platforms, microservices, API-driven development, and distributed systems., • leading and developing teams - the platform team is 20 people. You will lead and foster a high performance culture, reducing silos in and engaging across the business to add value. This is your opportunity to: • Build and scale high-performance, secure, cloud-native infrastructure, • Lead platform architecture, CI/CD, DevOps tooling, observability, and security, • Add value across the whole business taking the DevEx concept and broadening to all internal functions., • Impact product lines used across 9+ international markets, • Own platform reliability, developer experience, and operational excellence, • Drive a forward-thinking engineering culture focused on velocity and resilience The right candidate will be super focused on the culture and team development, with strong experience of leader (not just managing) in a high growth environment. You'll bring: ✅ Deep cloud & platform engineering experience (AWS, Kubernetes, CI/CD, IaC) ✅ Proven leadership of high-performing platform/infrastructure teams ✅ A strategic mindset with the ability to scale systems in complex environments ✅ Experience in high-growth, product-led tech environments (fintech a bonus) This is a mission-critical leadership role with real impact on growth, scale, and innovation.

Key Responsibilities • Design, deploy, and maintain LAN, WAN, WLAN, and VPN infrastructure, • Monitor network performance and troubleshoot issues to ensure high availability, • Configure and manage routers, switches, firewalls, and load balancers, • Implement and maintain network security measures, including firewalls, IDS/IPS, and access controls, • Perform network upgrades, patches, and capacity planning, • Document network configurations, procedures, and diagrams, • Collaborate with systems, security, and cloud teams to support IT initiatives, • Provide tier 2/3 network support and participate in on-call rotations as required, • Ensure compliance with company policies and industry best practices Required Qualifications • Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience), • 5+ years of experience in network engineering or network administration, • Strong knowledge of TCP/IP, DNS, DHCP, VLANs, routing, and switching, • Hands-on experience with networking hardware (e.g., Cisco, Juniper, Arista, Palo Alto, Fortinet), • Experience with network monitoring and troubleshooting tools, • Understanding of network security principles and best practices Preferred Qualifications • Industry certifications such as CCNA, CCNP, JNCIA, or equivalent, • Experience with cloud networking (AWS, Azure, or GCP), • Knowledge of SD-WAN, VoIP, or wireless networking, • Scripting or automation experience (Python, Bash, Ansible), • Experience in high-availability or enterprise-scale environments Soft Skills • Strong analytical and problem-solving skills, • Excellent communication and documentation abilities, • Ability to work independently and as part of a team, • Strong attention to detail and time management skills Benefits • Competitive salary and performance-based incentives, • Health, dental, and vision insurance, • Retirement savings plan with company match, • Paid time off and holidays, • Professional development and certification support

OtherUniversity (OU) is building the world’s first AI-powered university for degree apprenticeships - a new model of higher education that is faster, smarter, employer-funded, and built for real professional mastery. We are looking for a Lead AI Engineer to join as our founding technical hire. This is a hands-on role: you will design, build, and own the core AI systems that power Prof. T, our 24/7 AI professor. If you want to build something important, ambitious, and first-of-its-kind - this is it. What you'll build As our Lead AI engineer, you will: • Architect and deploy OU’s private Azure OpenAI environment, • Build Prof. T v0.1 — our AI tutor trained on curriculum, assessments, and teaching materials, • Create retrieval and vector-based pipelines (RAG) for structured learning content, • Build internal tools for academics to upload, review, and refine materials, • Work with leadership to define our long-term AI roadmap, • Lay the foundation for adaptive learning, personalised coaching, and automated formative assessment, • Set engineering standards, model safety guidelines, and data governance frameworks, • Help scale the AI stack into a proprietary academic engine used by thousands of learners This is a rare opportunity to shape the technical core of an entire institution. What we’re looking for Essential • Experience with Azure OpenAI, OpenAI, LangChain, or similar frameworks, • Strong Python engineering skills, • Practical experience building RAG systems, embeddings, vector stores, • Comfort with cloud architecture (Azure preferred), • Ability to move fast, prototype, and ship, • Experience building MVPs, internal tools, or early-stage AI products, • Strong understanding of prompt engineering, evaluation, and safety guardrails, • Ownership mindset — you want to build and shape the system, not just take tickets Bonus • Experience with LLM fine-tuning or instruction tuning, • Background in edtech, assessment, apprenticeship systems, or LMS tooling, • Previous startup or founding-engineer experience, • Familiarity with SOC2 / ISO data security practices, • Interest in AI ethics, education, or professional training Who you are You want to build something meaningful. You like small teams, high autonomy, and rapid iteration. You enjoy creating systems, not just writing code. You care about impact, not bureaucracy. You’re energised by the challenge of building the AI foundation of a new kind of university. Why join us • Founding engineer role with massive influence, • Build a globally significant AI education product from scratch, • Work directly with the founder/CEO and academic leadership, • Zero bureaucracy - move fast, own outcomes, ship continuously, • London or Dubai (both supported), • Competitive pay (£7k/month), • Mission-driven organisation with UK non-profit status, • You will create the backbone of a new educational model

Data Engineer [Associate/Senior Associate] About the job We are looking to expand our Data Engineering team to build modern, scalable data platforms for our internal investment desks and portfolio companies. You will contribute to the firm’s objectives by delivering rapid and reliable data solutions that unlock value for Cerberus desks, portfolio companies, and other businesses. You’ll do this by designing and implementing robust data architectures, pipelines, and workflows that enable advanced analytics and AI applications. You may also support initiatives such as due diligence and pricing analyses by ensuring high-quality, timely data availability. What you will do • Design, build, and maintain scalable, cloud-based data pipelines and architectures to support advanced analytics and machine learning initiatives., • Develop robust ELT workflows using tools like dbt, Airflow, and SQL (PostgreSQL, MySQL) to transform raw data into high-quality, analytics-ready datasets., • Collaborate with data scientists, analysts, and software engineers to ensure seamless data integration and availability for predictive modeling and business intelligence., • Optimize data storage and processing in Azure environments for performance, reliability, and cost-efficiency., • Implement best practices for data modeling, governance, and security across all platforms., • Financial Asset Management Pipeline: Build and manage data ingestion from third-party APIs, model data using dbt, and support machine learning workflows for asset pricing and prediction using Azure ML Studio. This includes ELT processes, data modeling, running predictions, and storing outputs for downstream analytics. Your Experience We’re a small, high-impact team with a broad remit and diverse technical backgrounds. We don’t expect any single candidate to check every box below - if your experience overlaps strongly with what we do and you’re excited to apply your skills in a fast-moving, real-world environment, we’d love to hear from you. • Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on experience in production environments, emphasizing performance optimization and code quality., • Python expertise: Advanced proficiency in Python for data engineering, data wrangling and pipeline development., • Cloud Platforms: Hands-on experience working with Azure. AWS experience is considered, however Azure exposure is essential., • Data Warehousing: Proven expertise with Snowflake – schema design, performance tuning, data ingestion, and security., • Workflow Orchestration: Production experience with Apache Airflow (Prefect, Dagster or similar), including authoring DAGs, scheduling workloads and monitoring pipeline execution., • Data Modeling: Strong skills in dbt, including writing modular SQL transformations, building data models, and maintaining dbt projects., • SQL Databases: Extensive experience with PostgreSQL, MySQL (or similar), including schema design, optimization, and complex query development., • Infrastructure as Code: Production experience with declarative infrastructure definition – e.g. Terraform, Pulumi or similar., • Version Control and CI/CD: Familiarity with Git-based workflows and continuous integration/deployment practices (experience with Azure DevOps or Github Actions) to ensure seamless code integration and deployment processes., • Communication and Problem solving skills: Ability to articulate complex technical concepts to technical and non-technical stakeholders alike. Excellent problem-solving skills with a strong analytical mindset. About Us: We are a new, but growing team of AI specialists - data scientists, software engineers, and technology strategists - working to transform how an alternative investment firm with $65B in assets under management leverages technology and data. Our remit is broad, spanning investment operations, portfolio companies, and internal systems, giving the team the opportunity to shape the way the firm approaches analytics, automation, and decision-making. We operate with the creativity and agility of a small team, tackling diverse, high-impact challenges across the firm. While we are embedded within a global investment platform, we maintain a collaborative, innovative culture where our AI talent can experiment, learn, and have real influence on business outcomes.

Foundational DevOps / SRE Engineer – Telecom Security Startup London / Hybrid Numi are partnered with an exciting early-stage venture backed by leading global telecoms. They’re on a mission to restore trust in voice communication with next-generation network-native security and AI-powered services. This is a foundational hire – you’ll help build the platform, shape the engineering culture, and have real impact from day one. The Role This isn’t pipeline maintenance. You’ll take full ownership of platform reliability, performance, and security, powering mission-critical, low-latency products and AI-driven features. What You’ll Own • Build and manage cloud infrastructure from scratch with Terraform, • Lead Zero Trust security implementation: micro-segmentation, strict IAM, mTLS, immutable logs, • Design and maintain CI/CD pipelines for microservices, • Own observability and monitoring (Prometheus, Grafana, OpenTelemetry), • Manage Kubernetes clusters (EKS), real-time data streams (Kafka), and high-performance APIs, • Embed compliance into infrastructure (GDPR, PIPA), • 3–5+ years in DevOps, SRE, or Platform Engineering, • Terraform / IaC expertise, • Strong AWS, Docker, Kubernetes experience, • CI/CD pipeline design experience, • Observability stack experience, • Zero Trust / mTLS experience, • Low-latency / high-throughput systems experience, • Apache Kafka expertise, • Kubernetes automation tools (e.g., ArgoCD) Who You Are A proactive problem-solver who takes ownership end-to-end, thrives in fast-paced, high-impact environments, and handles sensitive data responsibly. Reach out to or apply direct

Location: London (or remote) 3-6 month freelance contract Our client is a technology company that builds decentralized digital identity solutions. They believe that everyone has the right to own and control their data, and they are committed to creating a trusted digital credentials ecosystem that empowers businesses and individuals to securely exchange data and services across borders and industries. They are in search of a solution-oriented Rust Software Engineer (Backend) with deep, demonstrable expertise and experience in Rust, to work on secure, scalable, and high-performance backend systems. You will be responsible for the continued enhancement and development of a multi-component platform, where your expert skills in designing, architecting, and building quality systems will intersect with your hands-on coding, performance testing, and integration experience. Responsibilities: • Build and deliver secure, high-quality features and improvements using Rust. Experience in TypeScript and Dart will set you above other applicants for this role, • Create standards-compliant world-class software systems and components, most of which will be open-sourced., • Influence architectural direction while staying hands-on with development, • Design and implement solutions to complex, large-scale technical challenges, • Identify and drive the most critical improvements in product quality, security, and performance, • Guide the team to build well-tested, secure, and performant services, • Establish and refine best practices for high-scale distributed systems, • Collaborate closely with product, security, and engineering peers in a fast-paced, iterative environment Requirements: • Proven experience with performance optimization and a track record of diagnosing and preventing system bottlenecks, • Strong backend development skills with Rust as a core expertise, • Deep knowledge of TypeScript/Node.js; Dart experience strongly preferred. Familiarity with C# or Go is a plus, • Expertise in cloud computing (AWS) and cloud-native environments, • Proven track record in designing and deploying distributed systems using modern design patterns, • Skilled in technical documentation (C4 Model, ADRs) and clear communication of architectural decisions, • Strong advocate for privacy by design, security-first principles, and high-performance systems, • Expertise in applying asymmetric cryptography in production-grade products, • Experience with authorization/authentication domains; knowledge of identity, verifiable credentials, or secure data exchange is a strong plus, • Comfortable thriving in autonomous, fast-moving startup environments and collaborating across global teams

Senior AI Engineer In office ~x2 days a week This is a newly created opportunity to join a well-established data organisation that is investing in advanced AI capabilities to enhance data intelligence, automate research processes, and bring new value to their users. The team is building out scalable AI systems from the ground up, combining deep software engineering rigour with cutting-edge machine learning and retrieval techniques. You will work at the intersection of data engineering, AI product development, and platform reliability. This role suits someone who enjoys building robust pipelines, working on modern LLM integrations, and applying AI tools to real-world knowledge domains. What You’ll Be Doing • Build and manage data ingestion pipelines capable of processing various document types, including text files, spreadsheets, structured JSON, and audio sources, • Design intelligent retrieval systems that combine structured chunking, advanced indexing, re-ranking methods, and hybrid search approaches, • Develop machine learning and LLM-based applications for tasks like information extraction, document classification, summarisation, and semantic querying, • Construct and maintain multi-step LLM workflows using tools such as LangChain, LangGraph, or similar frameworks that support tool usage and agent coordination, • Help define internal testing and validation processes to assess model accuracy, factuality, and relevance, • Collaborate closely with product, engineering, and data teams to embed AI capabilities into user-facing platforms, • Deploy solutions in an Azure-based cloud environment, using container orchestration, automation pipelines, secure key management, and observability tooling, • Enforce data security and responsible AI practices, including anonymisation, access control, and model auditability What They’re Looking For • Hands-on experience delivering production-ready AI or LLM solutions, ideally with 2+ years working in a similar role, • Strong Python development background and confidence using popular machine learning libraries such as PyTorch, TensorFlow, or scikit-learn, • Familiarity with vector-based storage and search systems (e.g. pgvector, Pinecone, Azure Search), as well as experience working with graph technologies like Neo4j, • Practical understanding of retrieval-augmented generation pipelines and how to implement structured outputs or link models to graph-based knowledge systems, • Track record of optimising and scaling AI systems to handle real-world loads with high reliability, • Knowledge of modern ML/LLM deployment workflows, including testing, infrastructure automation, and version control, • Exposure to frontend integration, particularly with frameworks like Angular, is a nice bonus, • Any experience in content-heavy industries such as publishing, research, or legal analytics is welcome but not required, • Strong communication skills with the ability to work across teams and clearly articulate complex technical ideas to a variety of audiences If this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via (feel free to include a CV for review).

PHP Engineering Lead Reference: BH-370p Working Hours: Full time Job Type: Permanent Permanent Salary: £110,000 (negotiable dependant on experience) Location: Hybrid: minimum 2 days per week at our client’s Elstree / Kings Cross offices About the Company: Our client is a forward-thinking technology organisation reshaping how creative products are produced and delivered. Their platform connects a global network of industry partners while empowering independent artists with scalable, accessible tools. As demand grows, the company is rapidly expanding its platform and infrastructure to support increasing global scale. About the role: Our client is seeking a PHP Engineering Lead to balance approximately 50% hands-on engineering with 50% leadership, architecture, and team development. This role requires someone who can bring structure, clarity, and technical direction to a growing engineering function. You’ll be responsible for shaping technical decisions, guiding delivery, mentoring engineers, and contributing hands-on where it has the most impact. Strong communication, a collaborative mindset, and solid product instincts are essential. Key Responsibilities: Engineering Leadership, Delivery & Team Development • Architect, design, and deliver scalable, high-performance full-stack solutions., • Lead complex feature development across PHP (Symfony/Laravel), JavaScript (Vue.js or React.js or Node.js), and AWS., • Own technical direction, architecture decisions, and engineering standards., • Manage end-to-end delivery of features from discovery and planning through deployment and iteration., • Lead, mentor, and develop a team of five engineers (one senior, four mid-level)., • Conduct code reviews, guide technical approaches, and raise engineering standards., • Support team growth through coaching, pairing, and knowledge sharing., • Collaborate closely with the CEO and senior stakeholders on product and engineering strategy., • Identify and address technical debt to support long-term platform growth. Platform, Infrastructure & Reliability • Build and maintain APIs, microservices, backend systems, and third-party integrations., • Ensure platform security, performance, reliability, and scalability., • Manage cloud-native workflows using AWS, Docker, and CI/CD pipelines., • Work with distributed systems and messaging technologies (e.g. SQS, RabbitMQ)., • Drive strong testing practices, monitoring, observability, and production readiness. Essential Technical Experience: • Significant full-stack engineering experience, particularly with PHP (Symfony or Laravel)., • Strong experience with JavaScript (Vue.js, React.js, and/or Node.js)., • Solid database expertise across MySQL and PostgreSQL., • Hands-on experience with AWS architecture, Docker, and CI/CD automation., • Experience building APIs, microservices, and distributed systems., • Familiarity with messaging systems such as SQS or RabbitMQ., • Strong testing mindset using frameworks such as PHPUnit, Vitest, or equivalents., • Proven ability to deliver features end-to-end from concept to production., • Excellent communication skills and ability to balance technical depth with delivery. Desirable Experience: • Previous experience leading engineering teams or acting as a technical lead., • Interest in progressing further into people leadership., • Exposure to automation systems, industrial software, or production workflows., • Familiarity with manufacturing or factory-adjacent technology environments., • Experience with Node.js. Benefits: • Highly competitive salary package, • 25 days annual leave, • Pension scheme, • Private medical insurance, • Modern, technology-focused office environment Why Join Our Client: • Take on a pivotal leadership role influencing the technical direction of a rapidly scaling platform., • Work directly with senior leadership on engineering strategy and product evolution., • Lead and mentor a growing development team, shaping culture and standards., • Contribute hands-on and architecturally to a platform with strong industry visibility and creative impact., • Be part of a visionary company pushing innovation in physical media and creator technology.