Trabajos azure cloud engineer en Reino Unido - Page 2

Network Engineer Hybrid (2 days a week) Contract (6+ Months) Inside IR35 Canary Wharf, UK Knowledge, skills, and abilities • A solid network/security/cloud engineer with a strong focus on cloud hosted environments within AWS and Azure as well as excellent skills in firewall deployment, routing and switching., • In-depth knowledge of design, implementation, configuration and testing of the following:, • Routing – OSPF, BGP, knowledge of route redistribution and manipulation., • WAN - MPLS, Internet, VPN, SDWAN, understanding of circuit commissioning., • Datacenter – ACI spine and leaf, APIC, VxLAN and distribution switching., • Encryption - IPsec VPN, MACSec, configuring site-to-site VPN on routers and firewalls., • Switching and L3 - HSRP, VRRP, GBLP, NTP, STP, RSTP, QoS, CoS, SVI, VLAN’s, ACL’s., • WiFi – Cisco Meraki and Cisco Wireless LAN controllers with Lightweight APs., • Firewalls – Cisco ASA/FirePOWER, Conversion from ASA code to Firepower, Checkpoint, Fortigate, ACL’s, CSM/FMC. Job purpose • Provide last line support for solutions delivered by the engineering function in line with existing IT service management processes. Act as an escalation point, for the managed service, for problems pertaining to network technology and with a view to re-engineering., • Perform all changes to organisation standards across the whole network stack, including cloud, on-premises datacenters, including internet edge and ACI Fabric, branch, WAN, and operate CSM/FMC to deploy firewall rules where required., • To design and implement network connectivity between on premise datacenters and the cloud and within the cloud. This will require an extensive knowledge of Direct Connect, leveraged through Equinix Fabric and familiar with AWS DX gateways, AWS Transit Gateways (TGW) and site-to-site VPN, to connect other third parties into the cloud and the on-premises networks to the cloud. A thorough understanding of VPC and VPC peering is essential., • Through knowledge of products across the AWS Market Place and familiar with setting up Cloud Services Routers (CSR’s) and firewalls from multiple vendors. These firewalls could be dual stack with separate vendors with HA being essential. This may extend to Autoscaling. Experience of AWS Firewall is preferred., • Knowledge of IPS at all layers across the firewalls is required along with an understanding of FirePOWER services., • Experience of implementing ExpressRoute within a hybrid Exchange environment, using a combination of on-premises servers and M365 SaaS., • Comfortable with firewall platforms such as Cisco ASA/FirePOWER, CheckPoint, multiple context firewalls from Cisco and CheckPoint and the tools used to deploy the rules such as Cisco CSM (Cisco Security Manager), Cisco FMC (FirePOWER Management Centre), Fortigate/Fortinet etc., • Strong debugging skills are required with the ability to run packet captures and wireshark traces. Good working knowledge of ACL’s., • Good understanding of BGP and OSPF along with policy-based routing and prefixes lists. This routing knowledge should be across ASR/ISR and IOS-XE., • A good understanding of NX-OS is required and any knowledge of ACI is preferred. Python and Postman is a bonus., • Datacenter switching and routing comprises Cisco ACI Fabric with a spine and leaf topology. The engineer should be familiar with operation of ACI deployed within the core infrastructure. The datacenter also features firewalling between Tenants, such as Production, Secure Management and Dev/Test., • Partners and vendors are connected via a separate VRF on the WAN and the webhosting environment features three tiered stacks (Cisco ASA, CheckPoint, Cisco ASA). Throughout this architecture, there are many DMZ’s so there should be a thorough understanding of all these technologies., • The engineer will also need to have a good knowledge of the tools used within the network, such as CMC for Riverbed, CSM for Cisco ASA, Voyager and CheckPoint Manager for CheckPoint, CPI for WiFi, ISE for NAC and future deployment of technology, such as TrustSec, RSA tools, Solarwinds Orion, Cisco ACS and Infoblox etc. A strong knowledge of WireShark is also required. Qualifications / certifications: · Engineering/Computer Science Degree or industry related qualifications, such as AWS and Cisco Certifications.

AI Engineer [Analyst] – Early Career Role About the Job As an early‑career AI Engineer at Cerberus, you’ll join a small, high‑impact team building AI systems that power decision‑making across a global investment platform. You’ll work alongside experienced AI engineers, data scientists, and technologists to deliver real products used by investment teams and portfolio companies. This role is ideal for: • PhD graduates in a STEM field with applied ML, optimization, or computational experience; or What You’ll Do Build and deliver ML systems Work with senior engineers to design, train, and deploy machine learning models and data-driven tools that support investment and operational decision-making. Contribute to real production deployments Help integrate ML models into business workflows, build data pipelines, and support the rollout of AI applications across teams. Experiment and iterate Prototype ideas, test assumptions, and rapidly evolve solutions based on real user feedback and real-world constraints. Learn modern tooling and practices Gain hands-on experience with ML frameworks, cloud infrastructure, MLOps tools, and best practices for building scalable AI systems. Communicate clearly Translate technical findings into clear, structured insights for collaborators across technical and business teams. Grow as an AI engineer Develop skills across the full ML lifecycle—data processing, modelling, evaluation, deployment, and ongoing improvement. Sample Projects You Might Work On GenAI for due diligence Support the configuration, extension, and rollout of our in-house GenAI platform across investment teams. Work with senior engineers to customise workflows, analyse model outputs, and drive adoption. Automated Deal Sourcing Tools Help build prototypes that extract signals from datasets and integrate with APIs to enrich leads. Support the creation of modular ML-driven components that can be used across investment strategies. (Both examples are reframed so junior team members contribute meaningfully but are not expected to independently lead full workstreams.) Your Experience We don’t expect candidates to have experience across all areas—what matters most is strong technical fundamentals, curiosity, and a willingness to learn quickly. Foundational skills • Degree in a STEM field., • PhD candidates: applied research involving ML, optimisation, simulation, statistics, numerical methods, NLP, or related areas., • Experience writing clean, maintainable Python code., • Applied AI experience such as exposure to LLM APIs (OpenAI, Azure OpenAI, Anthropic, etc.) and experience with small personal or internship projects building agents or AI-driven workflows., • Comfortable working with data, performing analysis, and writing SQL queries., • Familiarity with tools like MLflow, Weights & Biases, or cloud platforms (Azure, AWS, or GCP)., • Strong problem-solving skills, • Curiosity and eagerness to learn, • Pragmatic, impact-driven approach, • Ability to work collaboratively in a fast-paced environment About Us We are a growing team of AI specialists—data scientists, ML engineers, software engineers, and technology strategists—working to transform how a global investment firm with $65B+ in assets uses data and AI. We operate like a startup within the firm: fast, collaborative, and focused on delivering real value. Our work spans investment desks, portfolio companies, and core operations, giving early-career engineers wide exposure and the opportunity to grow rapidly.

Infrastructure and Connectivity - Cloud Engineer - Holborn. Here at Whitbread, we are looking for a hands-on and experienced Cloud Engineer – DevOps (Azure) to join our platform team, focused on building and managing scalable, secure, and automated infrastructure across a multi-cloud environment.

We’re hiring a Privileged Access & Identity Security Engineer to join a highly technical, security-first organisation operating in a fast-paced, regulated environment. Identity, privileged access, and secrets are treated here as core security engineering problems, not just compliance controls. This role sits within the Identity & Access Management (IAM) function, with a strong emphasis on Privileged Access Management (PAM), automation, and secure access to critical systems and platforms. Responsibilities: Privileged Access Management (PAM) • Own and operate enterprise PAM platforms (e.g. CyberArk or equivalent), • Design, implement, and maintain privileged access controls across Windows, Unix/Linux, and application environments, • Automate onboarding of privileged and service accounts, including credential rotation and reconciliation, • Enforce least privilege and just-in-time access principles, • Monitor privileged sessions and support investigations into access-related incidents Secrets & Non-Human Access • Manage credentials for applications, services, and automation workflows, • Support secure runtime credential retrieval and rotation, • Work with engineering teams to reduce hard-coded secrets and improve secrets hygiene, • Partner with infrastructure, application, and security teams to implement robust access models, • Support RBAC and access policy alignment across on-prem and cloud platforms, • Support access reviews, audit requests, and evidence production, • Contribute to incident response related to privileged access or credential exposure, • Strong hands-on experience with Privileged Access Management (PAM), • Deep knowledge of CyberArk (Vault, PSM/PSMP, CPM, Privilege Cloud) or equivalent, • Experience automating privileged access onboarding and credential lifecycle, • Solid understanding of least privilege, JIT access, and privileged account risk, • Background working in regulated or high-security environments, • Exposure to secrets management concepts or platforms, • Cloud experience (AWS and/or Azure), • Scripting or automation (PowerShell, REST APIs, etc.)

We’re hiring a skilled Data backend engineer to join a financial services client building high-performance, data-driven market systems. This role sits at the intersection of data engineering, platform services, and market infrastructure, with a strong focus on real-time market data, analytics, and execution workflows. 🔧 What You’ll Do • Design and maintain graph-based data models representing relationships across financial entities, • Build and orchestrate DAG-driven pipelines for analytics and event processing, • Develop low-latency APIs integrating real-time and historical market data, • Implement search and indexing solutions for fast data access and analytics, • Work with financial messaging systems in capital markets environments 🧠 What We’re Looking For • Strong Python experience (Django / API-driven backend development), • Knowledge of graph databases (e.g. Neo4j) and workflow orchestration (DAGs), • Familiarity with Elasticsearch / OpenSearch and query optimisation, • Experience building REST APIs, WebSockets, and real-time systems, • Cloud experience (Azure preferred), • Interest in solving complex data and system design challenges 💬 If you’re interested in building real-time, event-driven financial systems, feel free to apply or message me directly.

At ScaleneWorks People Solutions, we're more than recruiters; we're career architects dedicated to connecting exceptional talent with top-tier opportunities. Backed by industry experts, we prioritize relationships, offer global opportunities, and champion your success every step of the way. Ready to shape your future? Explore opportunities with us today. We are looking for Python AI Engineer with Databricks exposure Role for our well-known client. • Location: London UK, • Type of Work: Hybrid (2-3 days from the office in a week), • Employment Type: FTE (Full Time Employment) or Inside IR35 Contract Overview We are looking for a Python AI Engineer (with Databricks exposure) with hands-on experience in Generative AI, backend development, and database-driven applications. The role involves designing and building AI-enabled applications, developing APIs and services to deploy AI models, and integrating them with enterprise databases and cloud platforms. The candidate should be comfortable working across AI solution design, backend development, and data engineering. Key Responsibilities • Design and develop AI and Generative AI applications using Python., • Build backend services and APIs using Flask or Django for AI-powered systems., • Work with enterprise databases (SQL-based systems) to ingest, transform, and manage large datasets., • Develop and integrate GenAI capabilities such as LLM-powered workflows, AI assistants, or automation tools., • Design scalable architectures for AI solutions including model deployment and data pipelines., • Build REST APIs and microservices to integrate AI models with enterprise applications., • Work with cloud platforms (Azure preferred) to deploy and scale AI applications., • Collaborate with data engineers, product teams, and domain experts to build production-grade AI solutions. Required Technical Skills • 7+ years of experience as a Python developer which atleast the last 3+ years have been on AI / GenAI solutions, • GenAI / AI development experience: LLM applications, AI workflows, or AI-enabled automation, • Python development: Strong coding and data processing experience, • SQL and database experience: Querying, data modeling, and data integration, • Backend frameworks: Django or Flask, • API development: RESTful services and microservice architecture, • AI system architecture / solution design: Designing scalable AI applications, • Cloud platforms: Azure AI services preferred, • Strong problem solving and analytical thinking, • Ability to work in cross-functional teams, • Good communication and collaboration skills Ready to Take the Next Step? If you're ready to embark on an exciting journey with ScaleneWorks, we’d love to hear from you! Submit your resume today and let’s unlock new possibilities together KRAZ nr. 28233

Zenith UK AI Data Engineer Our Commitment At Zenith UK, we believe that fostering an inclusive culture where all talent can thrive makes our company stronger. It enables a greater idea exchange, which fosters innovation and creativity, and enriches our perspective.We are committed to Publicis Groupe’s wide variety of talent engagement and inclusion programming, and encourage our people to take an active role in continuing to drive positive change within our agency. This role presents an opportunity to engage deeply with MLOps, vector databases, and Retrieval-Augmented Generation (RAG) pipelines. If you are passionate about shaping the future of AI and thrive on complex, high-impact challenges, we encourage you to apply. What You'll Do: As a Senior Data Engineer for AI/ML, you will be the architect and builder of the data infrastructure that feeds our intelligent systems. Your responsibilities will include: • Design and Build Scalable Data Pipelines: Architect, implement, and optimize robust, high-performance real-time and batch ETL pipelines to ingest, process, and transform massive datasets for LLMs and foundational AI models., • Cloud-Native Innovation: Leverage your deep expertise across AWS, Azure, and/or GCP to build cloud-native data solutions, ensuring efficiency, scalability, and cost-effectiveness., • Power Generative AI: Develop and manage specialized data flows for generative AI applications, including integrating with vector databases and constructing sophisticated RAG pipelines., • Champion Data Governance & Ethical AI: Implement best practices for data quality, lineage, privacy, and security, ensuring our AI systems are developed and used responsibly and ethically., • Tooling the Future: Get hands-on with cutting-edge technologies like Hugging Face, PyTorch, TensorFlow, Apache Spark, Apache Airflow, and other modern data and ML frameworks., • Collaborate and Lead: Partner closely with ML Engineers, Data Scientists, and Researchers to understand their data needs, provide technical leadership, and translate complex requirements into actionable data strategies., • Optimize and Operate: Monitor, troubleshoot, and continuously optimize data pipelines and infrastructure for peak performance and reliability in production environments. What You'll Bring: We are seeking a seasoned professional who is excited by the unique challenges of AI data. Must-Have Skills: • Extensive Data Engineering Experience: Proven track record (3+ years) in designing, building, and maintaining large-scale data pipelines and data warehousing solutions., • Cloud Platform Mastery: Expert-level proficiency with at least one major cloud provider (GCP-Preferred, AWS, or Azure), including their data, compute, and storage services., • Programming Prowess: Strong programming skills in Python and SQL are essential., • Big Data Ecosystem Expertise: Hands-on experience with big data technologies like Apache Spark, Kafka, and data orchestration tools such as Apache Airflow or Prefect., • ML Data Acumen: Solid understanding of data requirements for machine learning models, including feature engineering, data validation, and dataset versioning., • Vector Database Experience: Practical experience working with vector databases (e.g., Pinecone, Milvus, Chroma) for embedding storage and retrieval., • Generative AI Familiarity: Understanding of data paradigms for LLMs, RAG architectures, and how data pipelines support fine-tuning or pre-training., • MLOps Principles: Familiarity with MLOps best practices for deploying and managing ML models in production., • Data Governance & Ethics: Experience implementing data governance frameworks, ensuring data quality, privacy, and compliance, with an awareness of ethical AI considerations. Bonus Points If You Have: • Direct experience with Hugging Face ecosystem, PyTorch, or TensorFlow for data preparation in an ML context., • Experience with real-time data streaming architectures., • Familiarity with containerization (Docker, Kubernetes)., • Master's or Ph.D. in Computer Science, Data Engineering, or a related quantitative field. Zenith UK has fantastic benefits on offer to all of our employees, full details of which are shared when you join. This includes the classics like Pension, Life Assurance, Private Medical, as well as Reflection Days, Shared Parental Leave, and spans other initiatives like: 📖 Please check out the ___ which showcases our Inclusive Benefits and our EAG’s (Employee Action Groups). At Zenith UK, we are proud to be an equal opportunities employer. We welcome and encourage applications from people of all backgrounds, and do not discriminate on the basis of race, ethnicity, nationality, religion or belief, disability, age, citizenship, relationship status, sexual orientation, gender identity, or any other protected characteristic. We are committed to providing a fair, accessible, and inclusive recruitment process. If you have any access needs - for example, related to disability, neurodivergence, or a health condition - please let us know. We’ll work with you to ensure the process works for you. Sharing this information will never impact your application. Guided by our values, we listen with empathy, uplift each other, take responsibility, and embrace change - building a culture where everyone feels seen, respected, and genuinely included.

Contract DevSecOps Engineer (Microsoft Azure) We are supporting a large, complex organisation in appointing an experienced DevSecOps Engineer to design, implement, and support secure cloud deployment pipelines across a Microsoft Azure technology estate. This is a hands-on contract opportunity suited to someone with strong Azure DevSecOps expertise who enjoys working collaboratively across engineering, security, cloud operations, and external partners to deliver secure and reliable platforms. Location: London - Hybrid (minimum 3 days per week onsite) Rate: Competitive (dependent on experience) Start Date: ASAP Duration: Initial 3 months Key Responsibilities • Design, build, and support secure CI/CD pipelines within Azure DevOps, • Implement DevSecOps frameworks and best practices across the Azure environment, • Integrate security tooling into pipelines including SAST, DAST, dependency scanning, and secret scanning, • Develop and maintain Infrastructure as Code using BICEP and ARM, • Enable secure, automated, and repeatable deployment pipelines across Azure services, • Support deployment within Power Platform and Microsoft Fabric environments, • Implement monitoring, logging, and alerting using Azure Monitor, Application Insights, and Log Analytics, • Design and support identity and access management controls across environments, • Support incident response, recovery processes, and operational resilience, • Design backup and recovery strategies, ensuring RTO/RPO requirements are met, • Develop scripts and automation tools using PowerShell and Python, • Plan testing, release readiness, and deployment activities with engineering teams, business stakeholders, and external partners, • Monitor pipeline performance and proactively identify and resolve issues, • Work closely with Engineering Leads and Security teams to ensure solutions align with organisational standards and best practices, • Support configuration and management of development, test, UAT, and production environments, • Promote continuous improvement across DevSecOps tooling, processes, and automation Skills & Experience Required • Strong Microsoft Azure platform expertise, • Proven hands-on experience building and securing CI/CD pipelines in Azure DevOps, • Strong experience with Infrastructure as Code (BICEP and ARM), • Experience integrating security tooling into DevSecOps pipelines, • Experience designing DevSecOps frameworks and secure cloud deployment processes, • Experience with Azure monitoring and observability tools (Azure Monitor, App Insights, Log Analytics), • Strong scripting skills (PowerShell and Python), • Experience working with Power Platform and Microsoft Fabric deployments, • Experience with identity and access management in Azure environments, • Understanding of backup and recovery design including RTO/RPO, • Experience supporting incident response and recovery, • Strong problem-solving and troubleshooting skills, • Experience working collaboratively with engineering teams, security teams, and third-party partners Working Style • Strong communication skills with both technical and non-technical stakeholders, • Comfortable influencing without authority, • Collaborative approach across engineering, security, and business teams, • Self-starter with a continuous improvement mindset, • Delivery focused within a complex enterprise environment Working Pattern • Hybrid working model - minimum 3 days per week onsite in London Please send your CV to to progress matters. • Services Advertised are those of an Employment Business

Technical Lead / Solution Engineer (Salesforce) London | Permanent | Hybrid £100,000 - £120,000 + bonus + benefits We’re looking for a Technical Lead / Solution Engineer to join a high-impact Salesforce transformation programme. You’ll play a key role in delivering and evolving a global Salesforce ecosystem across multiple lines of business. This is a hands-on leadership role, combining solution architecture, technical delivery, and business engagement. You’ll have the autonomy to lead initiatives, influence architectural decisions, and step up when senior leadership is unavailable. What You’ll Be Doing • Lead solution design and technical delivery across Salesforce and integrated platforms, • Collaborate with Architects, Product Owners, Developers, and Testers to deliver scalable, high-quality solutions, • Translate business requirements and customer journeys into technical designs, • Challenge and influence architectural decisions to optimise outcomes, • Provide hands-on technical leadership, mentoring developers and reviewing code where needed, • Drive adoption of modern engineering practices (CI/CD, cloud, event-driven architecture), • Support Agile delivery across global teams and remove technical blockers, • Ensure compliance with financial regulations, data privacy, and governance standards Key Skills & Experience Essential • Strong Salesforce (Sales Cloud) experience, • Proven background as a Technical Lead / Solution Architect / Solution Engineer, • Experience with:, • AWS (Glue, AppFlow), • Java development, • API integrations (REST/SOAP), • CI/CD pipelines & cloud deployment (AWS/Azure), • Experience working across business requirements / user journeys (BA background beneficial), • Strong understanding of data models, MDM, and ETL processes, • Experience in Agile environments Leadership & Stakeholder Skills • Experience managing or mentoring developers and QA teams, • Strong communication skills with the ability to challenge and influence stakeholders, • Comfortable working with architecture review boards and senior leadership, • Ability to operate independently with confidence and gravitas Desirable • Experience in insurance, • Understanding of financial regulations (data privacy, compliance, etc.), • Consultancy background working with insurers, • Salesforce ecosystem knowledge including:, • Flows, Apex, LWC, • Data management & integrations, • Security & sharing models The Team & Environment • Part of a global technology function supporting business operations globally, • Multiple Salesforce teams globally, with distributed engineering across the UK and US, • Collaborative Agile environment with strong cross-functional partnerships Additional Information • Start date: ASAP (flexible for the right candidate), • Candidates must have the right to work in the UK Why Join? You’ll be part of a global insurer investing heavily in technology, working on a high-visibility Salesforce programme with real impact across the business. This role offers a rare mix of technical leadership, strategic influence, and hands-on delivery.

🔥Senior Backend Engineer🔥 Series-A Fintech AI Startup 📍 London | Hybrid 💸 £100k–£200k base (depending on experience) 🧩 $160k equity over 4 years (vesting annually) 💗 Perks: catered lunches, gym access, private healthcare This is a career-defining opportunity for a senior engineer ready to make a measurable impact. Join a rapidly growing, product-focused company designing core backend systems for high-stakes financial applications. After a successful Series A, the team is scaling an elite engineering unit responsible for owning critical systems end-to-end. This is real software, real customers, real influence. You’ll collaborate directly with the founders no bureaucracy, no slow approvals, no endless hand-offs. Decisions are fast, feedback is instant, and growth is accelerated. If flexibility is your main priority, this may not be the role but if ownership, impact, and career progression drive you, this could be ideal. What you’ll do: • Design and implement scalable backend APIs and services using Python (FastAPI/Django), • Build robust, large-scale data pipelines for financial systems, • Ensure secure, compliant, production-ready infrastructure, • Partner with ML engineers to deploy models into production Who succeeds here: • Professional backend experience with full production ownership., • Advanced Python skills, database expertise, experience with async processing and distributed systems., • Comfortable in cloud environments (AWS/Azure), containerization (Docker/K8s), CI/CD pipelines., • Thrives in autonomous, ambiguous, high-impact environments. This is one of Europe’s most exciting Senior Backend Engineer roles, offering the chance to take real ownership, influence product direction, and accelerate your career.

DevOps / Platform Engineer | £70,000 - £80,000 + 25% Bonus | 3 Days per Week - London About the Company: We’ve exclusively partnered with a London-based Investment Firm that is bringing innovation to the fixed-income marketplace. Their proprietary platform, reached profitability within the first six months, and since then, the company has nearly doubled in size. Now, they're focused on building a high-performance team for exciting new projects as they continue to grow. About the Role: Joining a team of engineers, as the sole DevOps / Platform Engineer you’ll play a pivotal role in designing, deploying, and optimising cloud infrastructure and DevOps pipelines to streamline workflows and ensure a seamless development-to-production pipeline. The ideal candidate will be confident in building automation workflows, managing cloud infrastructure, and optimising deployments within a dynamic, fast-paced start-up environment. Tech Stack: Azure, Kubernetes, Terraform, CI/CD, Observability, Python Bonus & Benefits: • £70,000 - £80,000 + 20%/30% Bonus, • Private Life & Health Insurance, • Work From Anywhere allowance Sound like your next role? Apply now, and if your experience aligns, I’ll be in touch! DevOps / Platform Engineer | £70,000 - £80,000 + 25% Bonus | 3 Days per Week - London

Lead AI Engineer - London £110,000 + bonus + additional package 3 days onsite, 2 days WFH - Central London We’re supporting a global leader at the forefront of applied AI, working in close partnership with some of the world’s leading AI labs. Responsibilities: • Lead the design and build production-grade systems using LLMs, • Working across RAG pipelines, vector databases, and agentic workflows, • Take AI from concept to real-world impact across industries like financial services, energy, and healthcare, • Liaise with stakeholders internally and externally to understand business problems and translate into technical solutions Requirements: • Proven experience building applications with LLM APIs, with a strong understanding of their real-world capabilities, limitations, and failure modes, • Hands-on experience implementing RAG architectures, vector databases, knowledge graphs, and effective prompt/context engineering, • Experience designing and developing multi-step LLM workflows and agent-based systems, • Strong programming skills (Python preferred) with experience building production-grade APIs and services, • Experience working with cloud platforms (AWS, Azure, or GCP) and deploying systems into production £110,000 + bonus + additional package 3 days onsite, 2 days WFH - Central London Lead AI Engineer - London

Azure DevOps Engineer, London/Hybrid, £66,500 per annum We are seeking a proactive and innovative DevOps Engineer to join our internal DevOps team at our headquarters in Central London. In this pivotal role, you will design, build, and maintain robust software development pipelines while championing automation and continuous improvement. Your expertise will be critical in bridging the gap between development and operations, ensuring efficient and secure delivery across multiple environments. Key Responsibilities • Pipeline & Infrastructure Development: Design and implement automated build, test, and deployment pipelines from source control through production. Build, configure, and maintain development tools and infrastructure to support scalable software delivery. • Collaboration & Stakeholder Engagement: Work closely with developers and other stakeholders to capture needs and translate them into technical solutions. Serve as a technical product owner by contributing to medium-to-long term strategic planning. • Process Improvement & Automation: Continuously assess and optimize development and release processes to enhance efficiency and performance. Develop tools and scripts (using PowerShell, Python, and YAML) that support automation and process standardization. • Quality Assurance & Security: Conduct thorough testing, code reviews, and system analysis to maintain high standards in code quality and performance. Ensure robust cybersecurity measures are embedded in all systems to protect against threats and vulnerabilities. • Project Management & Technical Support: Participate in project planning and decision-making, ensuring smooth rollout and integration of new features. Troubleshoot technical challenges and implement effective fixes and updates as needed. Professional experience required • A minimum of a 2:1 degree in Computer Science or a closely related field., • Microsoft Azure Fundamentals Certification is desirable but not essential. Technical Expertise • Cloud & DevOps Tools: Azure DevOps, Microsoft Azure Cloud, Azure Pipelines. • Development & Automation: Continuous Integration & Delivery (CI/CD) methodologies Scripting: PowerShell and Python; configuration with YAML. • Version Control & Operating Systems: Expertise with Git. Proficient with Windows and Linux environments. • Containerization & Orchestration: Docker containerization and Kubernetes. • Infrastructure as Code & Monitoring: Tools such as Bicep. Monitoring solutions like Prometheus, Grafana, and the Elastic Stack.

• Title: Senior Infrastructure Engineer (Mobile Device Management), • Location: Multiple UK locations (London, Manchester, Bristol, Newcastle, Glasgow, York, Norwich) With Hybrid (deally 2 days onsite/week; officially 60% onsite), • Pay Rate: Depends on Experience, • Type & Duration: Contract 6+ months Job Description: Key Responsibilities: • Support, manage, and upgrade Workspace ONE for Android and iOS devices., • Research, evaluate, and implement new hardware/software and enterprise policies., • Troubleshoot UEM issues and manage ticket escalations., • Maintain documentation, operating procedures, and corporate lifecycle policies., • Collaborate with Technical Architects and Principal Engineers to plan infrastructure changes., • Contribute to endpoint management, device hardening, and corporate patching policies. Essential Skills & Experience: • 4+ years managing MDM/EMM solutions and SaaS platforms., • Strong knowledge of mobile security and device hardening (iOS/Android)., • Experience managing Windows 11 and macOS devices., • Supporting infrastructure services for 10,000+ users., • Experience with IaaS/PaaS cloud platforms (AWS, GCP, Azure)., • Knowledge of Government/Public Sector IT legislation., • Excellent communication, attention to detail, and ability to work independently.

MLOps Engineer - £100K - Fully Remote Our client is a leading software as a service (SaaS) company, building cutting-edge solutions for trading, egaming and payments all over the world. Offering fully remote working, they’re looking to hire an MLOps Engineer. You’ll work in their Data Platforms team and be key in the design, building and support of Machine Learning platforms to deliver the power and scale of AI capabilities. Work will include the design and deployment of high quality, scalable platforms for running production Machine Learning software, helping define the overall strategy and roadmap for ML and AI and supporting platform deployments and CI/CD tools and processes. You’ll need a positive, growth, mindset, great experience of ML frameworks and software delivery and good knowledge of DevOps (Kubernetes especially), MLOps and Security. Requirements: • Proven Machine Learning and MLOps experience, • KubeFlow exp would be ideal, • Good knowledge of Cloud - AWS, Azure, GCP, OpenStack etc, • Solid DevOps experience - Kubernetes, Observability, IaC, CI/CD etc, • Coding skills using Python, Ruby, Perl etc, • Strong understanding of software development, modern tech and frameworks, • Solid Linux knowledge Tech / Tools you’ll be working with (some of them!) • Kubeflow, • Spark / MLlib / Tensorflow / PyTorn, • REST / FastAPI, • Docker / Kubernetes, • Terraform / Ansible, • GitOps, • Python / Bash

New Permanent Opportunity for an Enhanced DV Cleared Data Scientist / AI Engineer in Central London. • Must have active enhanced DV Clearance, • Junior to Lead levels available, • £45k to £95k DoE plus 15% clearance bonus, • Must be willing to be full-time on-site in Central London, • Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You’ll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements • Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis., • Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes., • Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors., • Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform., • Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at . For further information please call me on 0161 416 6800 or 07719065951 - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning

Lead Gen AI Engineer/ Architect London - Flexible Working Options Available £80,000-£90,000 + Bonus + Benefits Do you want to be at the heart of some of the biggest and most ambitious AI & Data programmes in the market? We’re hiring experienced Lead GenAI System Architects to join a world-class AI Institute – a centre of excellence driving cutting-edge Engineering, AI & Data innovation. You’ll work with senior leaders, global clients, and multidisciplinary teams on transformative Generative AI initiatives that redefine how organisations operate. This is a senior, hands-on role for someone who blends deep technical expertise with the ability to influence at board and C-suite level. • Shape and deliver enterprise-scale AI & Generative AI strategies aligned to real business outcomes., • Design, build, and deploy end-to-end AI pipelines – from data ingestion to secure, scalable production systems., • Lead the development and operationalisation of advanced models, including LLMs, diffusion models, and other generative techniques., • Architect production-grade RAG systems, evaluation frameworks, and responsible AI guardrails., • Stay at the forefront of AI research, translating emerging capabilities into practical, high-impact solutions., • Mentor and lead cross-functional AI teams, building reusable assets and delivery excellence. Background & Experience • PhD or equivalent in Computer Science, ML, AI, or a related field (or outstanding equivalent experience)., • Extensive experience designing and deploying enterprise AI/ML solutions in production., • Proven leadership of technical teams and senior stakeholders., • Deep domain experience in regulated or data-rich industries (e.g. financial services, healthcare)., • Track record of thought leadership (publications, patents, open source, or industry impact). Technical Excellence • Expert Python and modern ML frameworks (PyTorch, TensorFlow)., • Strong experience with Generative AI tooling (e.g. LangChain, LangGraph or similar)., • Deep understanding of LLMs, prompt engineering, RAG, vector databases, evaluation, and security., • Hands-on experience with fine-tuning, deploying, and monitoring large-scale GenAI systems., • Strong MLOps / LLMOps capability: CI/CD, monitoring, governance., • Cloud expertise across AWS, Azure, and/or GCP (cloud-agnostic preferred)., • Ability to communicate complex AI concepts to non-technical audiences.

DevOps Engineer We are currently working with a leading FinTech company, who are looking for a DevOps Engineer to join their ever-expanding platform / DevOps team from their Shoreditch London, Office. They are looking for you to have excellent cloud knowledge, ideally GCP but can also consider Azure or AWS. As well as this you will also be expected to have knowledge of Kubernetes and Terraform. As the DevOps Engineer, you will be a self-starter who has excellent stakeholder management experience who can show outcome based work. It is also important you have experience of Python scripting. You will also be responsible for end to end solutions working closely as part of a squad including Developers and Testers. Please note you will be expected to go to the office 3 days per week. Skills required for the DevOps Engineer: • Knowledge of AWS, Azure or GCP, • Knowledge of Kubernetes / Terraform This is a really exciting opportunity to rapidly grow your skill set and work closely with some of the most talented Developers and Analyst's within this space. If you are keen to hear more please apply ASAP or reach out to myself directly for more information. Location: 3 days per week in the London, Shoreditch office Salary: £80,000 - £100,000 Apply now for immediate consideration regarding this excellent opportunity! Understanding Recruitment is acting as an employment agency for this vacancy

Network IoT Engineer - London (Canary Wharf) - Hybrid - 12 months Requirements: Proven experience in IoT development, including firmware and software development. Strong working experience with Cisco SD Access, DNA and VxLAN is must. Strong understanding of various communication protocols used in IoT, such as MQTT, CoAP. Thread, etc. Familiarity with cloud platforms for IoT, such as AWS IoT or Azure IoT. Knowledge of security best practices for IoT devices and networks. Experience with hardware design and integration of sensors and actuators. Proficiency in programming languages such as C, C++, Python, or Java. Excellent problem-solving and debugging skills, effective communication and collaboration skills. 7 + years of relevant experience Responsibilities: 1. Design, implement and troubleshoot Internet of Things (IoT) solutions., 2. Collaborate with cross-functional teams to define IoT project requirements and specifications., 3. Integrate and onboard IoT devices onto the Network using DNA Center for seamless connectivity and ensuring optimal functionality., 4. Integrate sensors, actuators, and communication modules into IoT systems., 5. Implement security measures to safeguard IoT devices and data. Strong working experience with Cisco SD Access, DNA and VxLAN is must., 6. Troubleshoot and resolve issues related to IoT hardware and software components., 7. Conduct feasibility studies and evaluate the performance of various IoT solutions., 8. Collaborate with stakeholders to gather and analyze requirements for the projects., 9. Develop and execute network strategies using DNAC to isolate and secure IoT traffic., 10. Knowledge of designing networks that can efficiently scale to accommodate a future growth of IoT devices., 11. Document design specifications, system architecture, and troubleshooting procedures.

We are looking for a technically capable and detail-oriented Engineer to join our sales and support team for a well-known Security Integrator . You will be responsible for supporting cloud-hosted systems on AWS, with a strong focus on containerized environments using Docker and Docker Swarm. Our systems provide critical infrastructure for physical and electronic security solutions, so reliability, responsiveness, and attention to detail are essential. You’ll work closely with development, security, and infrastructure teams to ensure uptime, resilience, and ongoing improvement of our platform. Key Responsibilities: Provide support for cloud-hosted production and staging environments used in electronic security platforms. Monitor, maintain, and troubleshoot distributed containerized services using Docker and Docker Swarm. Respond to and resolve incidents, working to minimize downtime and ensure high system availability. Investigate system performance, log anomalies, and service issues, escalating when appropriate. Collaborate with DevOps and software engineering teams to implement improvements and automation. Maintain thorough documentation of system configurations, processes, and known issues. Assist in system upgrades, patching, and performance tuning. Support security compliance and auditing activities where applicable. Participate in an on-call support rotation. Required Skills & Experience: 2+ years of experience in a technical support, DevOps, or infrastructure engineering role. Strong hands-on experience with Docker and Docker Swarm in a production environment. Proficiency with core AWS services: EC2, S3, CloudWatch, IAM, ELB, ECS/ Fargate, and RDS. Solid understanding of Linux server environments, command-line operations, and scripting. Experience in supporting real-time or mission-critical systems (security, IoT, or similar sectors). Familiarity with log aggregation, monitoring, and alerting tools (e.g., ELK, Prometheus, Grafana). Good understanding of networking, VPNs, load balancing, DNS, and firewalls. Comfortable with Git and CI/CD workflows. Excellent troubleshooting skills and structured problem-solving approach. Strong written and verbal communication skills. Desirable / Nice to Have: Experience with Microsoft Azure cloud services. Background or familiarity with electronic security systems, access control, or surveillance technology. Exposure to Infrastructure as Code tools (e.g., Terraform, CloudFormation). Knowledge of container security and cloud compliance best practices. Experience with scripting languages (e.g., Python, Bash, PowerShell). Understanding of security certifications or industry compliance (e.g., ISO 27001, SOC 2) is a plus. Experience with Kubernetes or OpenShift for container orchestration. Familiarity with CI/CD pipelines and automation tools (e.g., GitHub Actions, Jenkins). Exposure to monitoring tools like Prometheus, Grafana, or ELK stack. Experience supporting enterprise customers in a B2B SaaS or software product company. Experience with access control and intrusion detection systems. Familiarity with virtualization technologies (e.g., VMware, Hyper-V). Knowledge of database systems (e.g., PostgreSQL, MS SQL). Relevant industry certifications (e.g., CompTIA Network+, Security+, CCNA). Experience providing technical training to end-users. Required Qualifications: Experience: 3+ years in a technical support, DevOps, or systems engineering role. Hands-on experience with Docker, docker-compose, and container lifecycle management. Experience supporting or integrating MinIO or similar S3-compatible object storage. Technical Skills: Familiarity with advanced networking concepts and protocols (TCP/IP, DNS, DHCP, VLANs, routing, proxies, firewall configuration, etc.). Strong Ubuntu Linux system administration and troubleshooting skills. Proficient in working with CLI tools and analyzing logs. Experience with storage solutions, volume mounts, and container data persistence. Soft Skills: Excellent communication skills for dealing with technical and non-technical users. Problem-solving mindset with attention to detail. Excellent troubleshooting and problem-solving skills with a logical and methodical approach. Ability to manage multiple priorities and respond promptly to issues. Mayflower is acting as an Employment Agency in relation to this vacancy.

Mid-Level Full-Stack Engineer - Python, Vue, FastAPI, Azure I've once again partnered with a top London based Tech Company, fresh of the back of their Seed funding round, who are looking to hire multiple Mid-Level Full-Stack Engineers, to their growing Engineering team. This is a Full-Stack role in a small Engineering team, where you will come in and take ownership across their platform end-to-end, collaborating with both Frontend and Backend engineers, Product & Design teams, building upon their Web application as the volume of users scale. Mid-Level Full-Stack Engineer - Python, Vue, FastAPI, Azure Key skills and experience: Minimum of 3+ years commercial experience working in a Full-Stack role Python backend experience (FastAPI, Flask or Django) Frontend experience, ideally in Vue but React is also fine Experienced working in small engineering teams, or start-up environments Experience with modern cloud platforms (Azure preferred) Product Engineering mindset Salary - Pays £55k-£75k + equity (depending on skills and experience) Hybrid working - 1-day per week in Central London offices Visa Sponsorship unavailable and you must be UK based Mid-Level Full-Stack Engineer - Python, Vue, FastAPI, Azure

🌳🌳🌳 🚀 Development Team Lead/Tech Leads (x5 roles) – C#, .NET, Azure, Testing, Remote - Scotland - Award-Winning, High-Growth Tech Scale-Up Award-Winning, High-Growth Tech Scale-Up | AI-Powered SaaS | £67,000–£80,000 + Market-Leading Benefits Areti Group – Carbon Positive Tech Recruitment | People & Planet Before Profit 🌳 About the Opportunity We are hiring five exceptional Development Team Leads / Tech Leads for one of the UK’s fastest-scaling, best-funded, and most forward-thinking software scale-ups. This company builds an advanced AI-powered platform used by some of the world’s most recognised organisations - powering smarter decisions, better performance, and next-generation digital transformation. They combine: 🌳 Real-time financial and operational insight 🌳 Intelligent optimisation through AI 🌳 Deep, strategic visibility across teams and projects 🌳 A human-first, high-usability engineering philosophy After 110% growth in the last 12 months, they are now investing heavily into engineering leadership to support their next stage of scale. These five hires will play a pivotal role in shaping the future of the platform. If you want to lead talented engineers, build meaningful technology, and be part of a company with serious momentum - this is the opportunity. ⭐ The Role: Development Team Lead / Tech Lead (x5) 🌳 We’re looking for five inspiring technical leaders to guide cross-functional engineering teams across multiple product areas. This is a hands-on leadership role, combining: • technical decision-making, • architectural influence, • people coaching, • delivery leadership, • and impactful ownership of high-value product areas Your team may focus on: 🌳 New product modules 🌳 UI modernisation initiatives 🌳 Workflow and automation improvements 🌳 Core platform scalability and resilience 🌳 High-impact customer-facing features Focus areas rotate annually, ensuring ongoing growth and variety. What You’ll Do 🌳 Lead and develop a team of 2–6 engineers, running 1:1s and supporting growth 🌳 Influence architecture, design patterns, and tech decisions across the platform 🌳 Partner with product managers to shape priorities and delivery outcomes 🌳 Guide teams in designing, building, testing, and shipping new features 🌳 Own the full lifecycle from concept → architecture → code → release 🌳 Play a key role in hiring the next generation of engineering talent 🌳 Foster a culture of learning, collaboration, and engineering excellence 🌳 Remain technically hands-on, especially while teams scale 💻 Tech Stack We’re seeking strong full-stack engineers who lead by example. Core stack includes: 🌳 .NET (Framework & Core) 🌳 Azure SQL + Azure Cloud 🌳 Vue.js, Vanilla JS, CSS, HTML (SPA) 🌳 Bonus: RabbitMQ, SignalR, broader Azure services Experience with large-scale, complex systems is a major advantage. 🌟 About You Leadership titles aren’t essential - but leadership behaviour is. You’ll thrive if you are: 🌳 A strong full-stack engineer with deep problem-solving instincts 🌳 Comfortable leading technical direction and coaching others 🌳 Skilled at breaking down complexity into clear actions 🌳 Emotionally intelligent and great at aligning teams 🌳 Confident challenging assumptions and navigating ambiguity 🌳 Motivated to build elegant, scalable, future-ready solutions 🌳 Passionate about learning, improvement, and collaboration 🎁 What You’ll Get 🌳 £67,000–£85,000 depending on experience 🌳 Remote-first working 🌳 £1,000+ personal & professional development budget 🌳 33 days holiday, rising to 40 🌳 4-week paid sabbatical after 5 years 🌳 Private healthcare, income protection, death-in-service 🌳 Matched 5% pension 🌳 Innovation Weeks (twice annually) 🌳 20 hours paid volunteering time 🌳 Monthly social time - hikes, BBQs, games nights, workshops 🌳 A supportive, ambitious, inclusive engineering culture 🌍 Working Model Remote-first across the UK 🌳 Collaboration days in Scotland 🌳 Flexible hours around a 37.5-hour week 🌳 No mandated office days — trust, autonomy, and delivery matter most 🚀 Urgent Hiring - Immediate Interviews Booked These five roles are high priority, with interview slots already reserved for strong candidates. 📌 Please ensure your CV clearly showcases: • technical leadership, • full-stack engineering experience, • relevant architectural or delivery ownership 🌳 Areti Group – Carbon Positive Tech Recruitment 🌳🌳🌳 People & Planet Before Profit. Building teams that leave the world better than we found it.

Mid-Level Full-Stack Engineer - Python, Vue, FastAPI, Azure I've once again partnered with a top London based Tech Company, fresh of the back of their Seed funding round, who are looking to hire multiple Mid-Level Full-Stack Engineers, to their growing Engineering team. This is a Full-Stack role in a small Engineering team, where you will come in and take ownership across their platform end-to-end, collaborating with both Frontend and Backend engineers, Product & Design teams, building upon their Web application as the volume of users scale. Mid-Level Full-Stack Engineer - Python, Vue, FastAPI, Azure Key skills and experience: Minimum of 3+ years commercial experience working in a Full-Stack role Python backend experience (FastAPI, Flask or Django) Frontend experience, ideally in Vue but React is also fine Experienced working in small engineering teams, or start-up environments Experience with modern cloud platforms (Azure preferred) Product Engineering mindset Salary - Pays £55k-£75k + equity (depending on skills and experience) Hybrid working - 1-day per week in Central London offices Visa Sponsorship unavailable and you must be UK based Mid-Level Full-Stack Engineer - Python, Vue, FastAPI, Azure

We’re looking for a skilled and enthusiastic JavaScript Solutions Engineer to play a key role in supporting our client's Sales, Project, Product and R&D teams in conducting technical discussions with online retailers and brands wishing to expand their cross-border business with our client's SaaS software solution. The job will include leading technology and integration with prospects and existing clients, face-to-face and virtually. Enable Cross-Functional Collaboration · Develop and maintain strong relationships with Partnerships, Agency Leads, and Product teams · Leverage your deep technical expertise to build trust by understanding their offering, technology, and customer needs · Build engagement plan including product & services fit analysis, enablement, integration strategy · Develop partner content and material as technical presentations, trainings, consultations, integration guides, and best practices • 8+ years of experience of coding skills with primarily JavaScript and Typescript. If you've got Python, HTML/CSS, C# and/or Java... well that's even better!, • Experience in web applications deployment (AWS, Azure, IIS, etc.) in a Windows or Cloud environment., • Data normalization and field mapping are concepts that you are familiar with., • Consulting and/or client facing experience, understand the importance of timely communications and see value in collaborating with colleagues to find the best possible solution., • Entrepreneurial spirit, you feel you achieve so much more by working along with a customer or partner than alone between four walls. If this sounds of interest, get in touch!

Job title: Data Engineer Department: Data & AI Reporting to: Lead Data Engineer Who we are We’re part of Super Group, the NYSE-listed digital gaming company behind some of the world’s leading Sports and iGaming brands. At Betway, we’re driven by our shared vision to become the global leader in the online sports betting and casino industry. Our people are forward-thinking team-players who thrive on a collective diversity of skills and backgrounds. Founded in 2006, our teams in Guernsey, London, Malta, Germany, Portugal and Spain are constantly expanding and evolving. Who we’re looking for We’re on a thrilling journey of growth and innovation, and we need passionate, driven individuals to join us. At Betway, every day is action-packed, and we expect you to bring your A-game. In return, you’ll find a supportive environment where your skills can flourish and your career can soar. Ready to become a game-changer? Supercharge your career with us and be part of something extraordinary. Why we need you We’re on a mission to build a near real‑time data warehouse for our business, and we believe your unique skills, passion, and drive will play a key role in helping us achieve that vision. This is an excellent opportunity for someone with a strong data background, a genuine interest in cloud technologies, and the ambition to grow in this space. We’re committed to fostering a culture of continuous learning—regularly running proof‑of‑concepts, sharing internal demos, hosting workshops, and attending external conferences. Our data team brings together a broad range of expertise, including real‑time event streaming, long‑term analytics in our data lake, development of highly transactional RDBMS systems, data warehousing, data science, and cloud engineering. We’re always pushing ourselves—and each other—to elevate our craft. What you’ll be doing As part of this role, you will: • Collaborate within an agile Data Engineering team, contributing to planning, delivery, and continuous improvement., • Work closely with technical leads and business stakeholders to design and deliver scalable, high‑performance data solutions., • Share knowledge and grow alongside your peers through pair programming, workshops, mentoring, and collaborative problem‑solving., • Leverage the latest AI tools and techniques to enhance development workflows and improve team efficiency., • Design, build, and maintain robust ETL services and real‑time data pipelines, ensuring reliability, scalability, and high data quality., • Deliver both functional and non‑functional requirements, taking ownership of implementation quality and alignment with best practices., • Develop and support CI/CD pipelines, embedding automated testing to ensure consistent, high‑quality releases. This job description outlines the core responsibilities of the role but is not exhaustive. You may be asked to take on additional reasonable duties to support broader business objectives. Essential skills you’ll bring to the table The necessary skills we require for this role include: • Strong verbal and written communication skills, with the ability to convey complex ideas clearly and effectively, • Experience working collaboratively in cross-functional teams, with a focus on achieving shared goals, • Experience in managing multiple projects simultaneously, with a track record of delivering on time and within scope, • Strong attention to detail, ensuring high standards of quality in all outputs, • Ability to adapt quickly to changing environments and priorities, maintaining effectiveness in dynamic situations, • Demonstrable understanding of data processing using SQL or C#, • Exposure to building data services in a cloud environment (ideally Azure) Desirable skills you’ve got up your sleeve The following skills and experience would be highly beneficial: • In-depth knowledge of sports betting markets, including odds calculation, betting types, and market trends, • Previous experience in the online gaming or casino industry, with a strong understanding of player behaviour and industry regulations, • Experience working with the ClickHouse OLAP database engine, • Proficiency in .NET, Visual Studio / Visual Studio Code, Node.JS, • Experience using GitHub and Azure DevOps, • Familiarity with GitHub Copilot and modern AI-assisted coding practices, • Experience with message queues and building eventually consistent systems (such Kafka, or Azure Event Hubs), • Experience providing Infrastructure as Code, eg using Terraform or Pulumi, • Experience writing automated tests and integrating them into a CI/CD pipeline Our values are non-negotiables Our culture is underpinned by core values that are linked to key behavioural competencies. Along with the below behavioural competencies, these are essential for all employees in order for you to embed in and drive our culture forward. These competencies are: • Adaptability, • Ownership and accountability, • Initiating action, • Resilience, • Team orientation, • Integrity, • Innovation What you’ll get back We offer a great variety of personal and professional benefits to help you thrive at Betway and Super Group. This includes: • We’re dedicated to your super growth. Our comprehensive learning and development programmes give you a range of resources and opportunities to expand your skills and advance your career., • Your hard work and achievements won’t go unnoticed. Our innovative Performance Tool ensures you receive regular, constructive feedback, helping you to continuously improve and reach your full potential., • Our Employee Assistance programme offers a variety of benefits which you and your family can benefit from., • Vitality Health Care, • Unum Dental, • Life Assurance & Income Protection, • Tusker car scheme, • Cycle to Work, • Retail discounts Be part of that Superclass feeling. At Super Group, diversity is part of our DNA. With teams across 17 countries, 85 nationalities, and 30 languages, we take equal opportunities seriously, championing a supportive, inclusive and empowering environment wherever you are in the Group. It’s all about putting your experience first and ensuring honesty and fairness in all we do. Here, your growth is supported and your contributions valued. Game on!

We’re partnering with a boutique data analytics and technology consultancy with a strong and growing footprint across UK Central Government / Public Sector Following sustained organic growth and increasing demand from major government departments, the consultancy is expanding its consulting team and seeking Azure-focused engineers with real Kubernetes experience who want to move further into consulting, solution design, and architecture. We are open to candidates at different stages of their career: from Junior/mid Level Engineers ready to step into consulting, through to experienced Senior Consultants who can lead solution design and client conversations from day one. This is not just a sys admin type of role and not a pure platform support position. It’s a delivery-focused consulting role, working closely with clients to design and implement secure, scalable, cloud-native solutions, with a clear pathway to grow into an Azure & Kubernetes Solution Architect. Why Join Us? • Join a small, fast-growing consultancy where your contribution genuinely matters, • Work on long-term, meaningful programmes, including national-scale public sector projects, • Be supported in your progression toward Azure & Kubernetes Solution Architecture, • Balance hands-on engineering with design, consulting, and technical leadership, • Avoid rigid role definitions, your responsibilities will grow with your capability What You’ll Be Doing Depending on your experience, you’ll be involved in: • Designing and delivering Azure-based data and platform solutions, • Deploying, operating, and improving Kubernetes platforms (AKS) in real production environments, • Building and supporting modern, containerised workloads, • Contributing to solution design and architectural decisions, with increasing ownership as you grow, • Working across multiple client projects, adapting to different technical and business contexts, • Engaging directly with technical and non-technical stakeholders, understanding requirements and shaping solutions, • Writing clear, high-quality technical documentation and design artefacts, • Keeping up to date with emerging technologies and best practices in cloud, data, and DevOps Who This Role Is For This role could suit you if: • You’re a Junior / Mid Level Engineer looking to move into consulting and gain exposure to solution design and architecture, • You’re an experienced Consultant or Senior who enjoys hands-on delivery but also leading technical direction, • You have practical Kubernetes experience and want to apply it in varied, meaningful client environments, • You want to move toward a Solution Architect role, rather than staying purely operational, • You enjoy variety, ownership, and working closely with clients rather than being embedded in a single internal team Essential Skills & Experience • Continuously lived in the UK for 5+years without sponsorship or visa, and eligible to obtain Government Security Clearance (SC) - MANDATORY REQUIREMENT., • Commercial experience in data engineering, cloud engineering, or platform engineering, • Strong experience with Microsoft Azure, • Hands-on Kubernetes experience (ideally AKS, but equivalent experience considered), • Experience working with DevOps practices and CI/CD pipelines, • Coding experience (e.g. Python, SQL, R, SAS, or similar), • Experience working in secure or highly regulated environments, • Ability to work independently, take ownership, and use your initiative, • A numerate or technical degree, NVQ Level 4, or equivalent experience, • Excellent communication and stakeholder management skills Desirable (Nice to Have) • Experience migrating or modernising legacy platforms, • Exposure to SAS tools and/or SAS administration, • Familiarity with information security standards and controls, • Experience working in Agile delivery environments (Scrum, SAFe, etc.), • Previous consulting or client-facing experience Location & Travel • Remote within the UK - Very occasional travel to client site (typically once a month at most - travel expenses fully covered. Salary & Benefits • Salary range c. £55,000–£65,000, dependent on experience and level, • 12% employer pension contribution, • Up to 15% performance-related bonus, • Shared Company Bonus, • Standard company benefits in addition to above

The Company This business is a rail software and consulting company with a growing team and a solid foundation of project-based revenue. It works with leading organisations across the UK rail industry, helping them harness data to solve complex operational challenges. Data Engineers are key to this mission - building robust data infrastructure and tooling that powers insights, analytics, and software products used across the rail network. The Role As a Data Engineer, you'll be part of a collaborative technical team, working across the data lifecycle: from designing ETL pipelines and integrating real-time data streams, to developing APIs and backend systems that deliver rail data securely and reliably. You'll work closely with engineers, consultants, and project managers to translate real-world rail problems into scalable technical solutions. This role sits at the intersection of software engineering, data architecture, and delivery. Key Responsibilities Data Engineering & Infrastructure • Design and implement robust data pipelines (batch and real-time) for ingesting, transforming, and serving rail-related datasets., • Develop and maintain data APIs and services to support analytics, software features, and reporting tools., • Build data models and storage solutions that balance performance, cost, and scalability., • Contribute to codebases using modern data stack technologies and cloud platforms (e.g., Azure, AWS). Collaborative Delivery • Work with domain consultants and delivery leads to understand client needs and define data solutions., • Participate in agile delivery practices, including sprint planning, reviews, and retrospectives., • Help shape end-to-end solutions — from ingestion and transformation to client-facing features and reporting. Best Practices & Growth • Write clean, well-documented, and tested code following engineering standards., • Participate in design reviews, code reviews, and collaborative development sessions., • Stay up-to-date with new tools and trends in the data engineering space., • Contribute to internal learning sessions, tech talks, and shared documentation. The Candidate You might be a good fit if you have experience with: • Building ETL/ELT pipelines using tools like Kafka, dbt, or custom frameworks., • Working with structured and unstructured data at scale., • Backend development in Python (or similar), and familiarity with data APIs., • Cloud data platforms (e.g., AWS Redshift, Azure Synapse)., • SQL and database design for analytics, reporting, and product use., • Agile collaboration with cross-functional teams. You don’t need experience in rail — just curiosity and a willingness to learn the domain.

Lead Security Engineer - Trading Firm - London (On-Site) - Up to £160,000 Per Annum (Base) A leading global proprietary trading firm is seeking a Lead Security Engineer to define and evolve defence-in-depth security architecture across a complex hybrid estate spanning on-premise data centres and Microsoft Azure. This role is ideally suited to a hands-on Security Architect with deep infrastructure roots across VMware, Active Directory, Windows Server, and enterprise cloud security, who is comfortable operating across both architectural governance and engineering implementation within a high-availability trading environment. The Role As Lead Security Engineer, you will sit within a small, high-performing Security Architecture & Engineering function responsible for securing critical trading systems and enterprise platforms. You will collaborate closely with Infrastructure, DevOps, Platform, and Engineering teams to ensure all new and existing solutions align with defined security standards, regulatory frameworks, and architectural guardrails. This is a design-led role with hands-on depth — ideal for someone who has grown from infrastructure engineering into enterprise security architecture. Key Responsibilities • Define and maintain security blueprints, reference architectures, and guardrails across:, • Hybrid infrastructure (multi-datacentre VMware estate + Azure IaaS/PaaS/SaaS), • Identity platforms (Entra ID / Azure AD hybrid), • Privileged Access and role-based access control models, • Secure connectivity between internal trading platforms and external counterparties, • Review and sign off HLDs and LLDs across infrastructure and application projects, • Conduct structured security risk assessments using frameworks such as NIST, CIS Controls, STRIDE, OWASP and MITRE ATT&CK, • Provide go-live security assurance, identifying risks, remediation controls, and risk acceptance where appropriate, • Establish and maintain governance processes to ensure security architecture aligns with enterprise standards and regulatory requirements (ISO27001, GDPR) Skills & Experience • Proven experience operating as an Infrastructure Security Architect, Security Architect, or senior-level Security Engineer within financial services, trading, or other high-availability, low-latency environments., • Strong architectural expertise across hybrid infrastructure, including:, • Enterprise network security (segmentation, firewalls, secure connectivity, zero-trust principles), • Multi-datacentre environments (VMware, Windows Server, Active Directory, DR design), • Cloud security architecture, particularly Microsoft Azure (IaaS, PaaS, SaaS), • Identity & Access Management (Entra ID / Azure AD, MFA, Conditional Access, PAM), • Experience defining and reviewing High-Level and Low-Level Designs (HLD/LLD), setting security standards, and providing architectural governance across infrastructure and cloud initiatives., • Strong understanding of security frameworks and best practice controls (e.g., NIST, CIS, ISO 27001) and ability to align architecture to regulatory requirements., • Experience shaping security tooling strategy across infrastructure layers (SIEM, vulnerability management, endpoint security, PAM, DLP), including vendor evaluation and roadmap input., • Ability to operate at both deep technical and strategic levels — influencing infrastructure, engineering, and senior stakeholders on long-term security direction., • Comfortable working in fast-paced, mission-critical environments where resilience, performance, and risk management are critical. Package • Up to £160,000 base salary, • Discretionary annual bonus, • Comprehensive benefits package

ANALYTICS ENGINEER LONDON/HYBRID UP TO £60000 This is a standout opportunity to join a highly creative, globally recognised organisation as they scale their data capabilities. You will be central to shaping a modern data environment, owning pipelines, modelling, and platform development while partnering closely with finance and wider business teams. ROLES AND RESPONSIBILITIES: The Analytics Engineer will: • Manage and maintain data pipelines in Azure Data Factory and Databricks., • Integrate core systems and APIs across HR, ERP and internal platforms., • Develop and evolving their lakehouse environment and transformation logic., • Design data models that align with business requirements and reporting needs., • Work closely with stakeholders, including finance, to structure data effectively., • Create robust semantic models and supporting the Power BI reporting layer., • Implement scalable design patterns covering incremental loads and snapshotting., • Support end‑to‑end builds across ingestion, transformation and consumption. YOUR SKILLS AND EXPERIENCE: The ideal candidate will have the following skills and experience: • Strong commercial experience working in a cloud data environment, ideally Azure., • Hands‑on experience with Databricks or similar transformation frameworks., • Strong SQL skills., • Solid Power BI capability, including modelling, DAX and semantic layers., • Experience with data modelling approaches such as star schema, Kimball or medallion architectures., • Ability to partner with non‑technical teams and communicate clearly with stakeholders., • Comfortable working autonomously in an evolving data function. APPLY BELOW!

Role: Rubrik IT Engineer – Rubrik Backup and Hybrid Cloud Protection Location: Central London (Hybrid) Duration: 3 Months + Day rate: £600 Inside IR35 Clearance: SC or eligible for clearance Role Overview We are seeking a highly capable IT Engineer with deep subject matter expertise in Rubrik data protection technologies. The successful candidate will take ownership of the end to end backup and recovery lifecycle across our on premises infrastructure, Microsoft Azure footprint, and Office 365 workloads. Key Responsibilities Strategic and operational delivery • Lead the configuration, optimisation, and administration of Rubrik clusters across hybrid environments., • Ensure comprehensive backup coverage for physical servers, virtualised platforms, Azure workloads, and Office 365 tenants., • Conduct regular resilience reviews and steer corrective actions., • Own backup policies, SLAs, retention schedules, immutability controls, and compliance frameworks. Operational excellence • Perform routine health checks, troubleshooting, and remediation., • Respond to backup and restore incidents and complete root cause analysis., • Oversee patching, upgrades, and feature enablement., • Maintain documentation of backup architectures and DR processes. Stakeholder engagement • Collaborate with Cloud, Infrastructure, and Cyber Security teams., • Support audits, projects, and initiatives requiring backup expertise., • Communicate technical information clearly. Essential Skills • Proven Rubrik experience., • Strong understanding of hybrid infrastructure., • Experience protecting Azure and Office 365 workloads through Rubrik., • Strong troubleshooting ability and governance understanding. Desirable Skills • Experience with other enterprise backup suites., • API integration exposure., • Disaster recovery planning. Professional Attributes • Methodical and governed by best practice., • Confident decision maker., • High accountability., • Strong interpersonal skills. Qualifications • Rubrik certifications or equivalent experience., • Microsoft Azure or Office 365 certifications. All profiles will be reviewed against the required skills and experience. Due to the high number of applications, we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!

DevOps Engineer - MLOps - Fully Remote Our client is a leading tech consultancy and software development firm. Offering fully remote working, working on a range of egaming, trading and payments projects they’re looking to hire an MLOps Engineer with great DevOps / Platform knowledge and exp of KubeFlow and Kubernetes. You’ll work in their Data Platforms team and be key in the design, building and support of Machine Learning platforms to deliver the power and scale of AI capabilities. Work will include the design and deployment of high quality, scalable platforms for running production Machine Learning software, helping define the overall strategy and roadmap for ML and AI and supporting platform deployments and CI/CD tools and processes. You’ll need a positive, growth, mindset, great experience of ML frameworks and software delivery and good knowledge of DevOps, MLOps and Security. Requirements: • Proven MLOps experience, • Good knowledge of Cloud - AWS, Azure, GCP, OpenStack etc, • Strong DevOps experience - Kubernetes, IaC, CI/CD etc, • KubeFlow and Machine Learning exp, • Coding / scripting skills, • Good, overall, understanding of software development, modern tech and frameworks, • Solid Linux knowledge can't hurt! Tech / Tools you’ll be working with (some of them!) • Kubeflow, • Spark / MLlib / Tensorflow / PyTorn, • REST / FastAPI, • Docker / Kubernetes, • Terraform / Ansible, • GitOps, • Python / Bash

We are seeking a Senior Software Engineer to join a growing engineering team and help build scalable software systems that support cutting-edge research in biotechnology and life sciences. You will play a key role in designing and developing platforms that enable scientists, data engineers, and bioinformaticians to analyze complex biological data, accelerate drug discovery, and improve clinical research workflows. This role combines strong backend engineering, cloud infrastructure and data engineering, with an interest in working alongside scientists and research teams. Key Responsibilities • Design and develop scalable backend systems and APIs for scientific and clinical data platforms, • Build and maintain data pipelines for large biological and research datasets, • Collaborate with scientists, bioinformaticians, and data teams to translate research needs into software solutions, • Contribute to cloud infrastructure, system architecture, and performance optimisation, • Ensure high-quality code, testing, and CI/CD best practices, • Mentor junior engineers and support technical decision-making Required Skills & Experience • Strong programming experience in Python, Java, or Go, • Experience building backend services, APIs, and distributed systems, • Strong knowledge of cloud platforms (AWS, GCP, or Azure), • Experience with containerisation and orchestration (Docker, Kubernetes), • Experience with CI/CD pipelines and DevOps practices, • Strong understanding of databases and data pipelines (SQL, NoSQL, ETL systems), • Experience working with large-scale datasets

We are seeking a proactive and hands-on Junior Systems Engineer to support a fully cloud-based environment within an Investment Management firm. This role is ideal for someone with foundational infrastructure knowledge, strong troubleshooting skills, and a willingness to learn and grow within a fast-paced business environment. Key Responsibilities • Provide day-to-day IT support across end-user devices and office systems, • Perform laptop upgrades, rebuilds, and imaging across the business, • Create and maintain standard laptop images, ensuring consistency and security, • Manage device configurations including:, • Full disk encryption, • Hard drive setup and management, • USB port restrictions (while maintaining Bluetooth functionality), • Install and configure Windows OS, including patching schedules and updates, • Identify and remediate system vulnerabilities through patch management, • Support a fully cloud-based infrastructure (AWS & Azure):, • Log in, navigate, and manage cloud portals, • Provision and spin up servers as required, • Assist with basic cloud infrastructure setup and maintenance, • Assist with pilot testing programs (e.g., rolling out new builds to a small user group before wider deployment), • Provide on-site meeting room IT support, including:, • Preparing rooms for board/investor meetings (48–72 hours’ notice), • Ensuring AV equipment, conferencing tools, and connectivity are fully operational, • Troubleshoot and resolve common hardware/software issues, including:, • Docking stations, • Headsets and peripherals, • Microsoft Office applications (Excel, Word), • Adobe software Required Skills & Experience • 2+ years’ experience in an IT support or systems engineering role, • Basic knowledge of AWS and/or Microsoft Azure (portal navigation and server provisioning), • Experience with Windows OS deployment, imaging, and patch management, • Familiarity with endpoint security practices (encryption, device control, vulnerability patching), • Strong troubleshooting skills across hardware and software Desirable Skills • Exposure to cloud-first or fully cloud-based environments, • Experience with endpoint management tools (e.g., Intune, SCCM), • Understanding of IT security best practices Personal Attributes • Strong attention to detail and organisation, • Proactive and able to work independently on-site, • Good communication skills with both technical and non-technical users, • Calm under pressure, particularly when supporting senior stakeholders during meetings

Job Title: Databricks Architect Location: London, UK Work Mode: Onsite Experience: 10–15 Years (minimum 5+ years in Databricks) Employment Type: Full-time About the Role We are seeking a highly experienced Databricks Architect to lead the design, development, and optimization of scalable data platforms and advanced analytics solutions. This role requires a deep understanding of Databricks Lakehouse architecture, big data engineering, cloud ecosystems, and enterprise data strategy. The ideal candidate will partner with business and technology leaders to deliver high-performance data systems that support analytics, AI/ML, and real-time insights. Key Responsibilities Architecture & Solution Design • Architect end-to-end Databricks Lakehouse solutions including data ingestion, ETL/ELT pipelines, Delta Lake, data warehousing, and data governance frameworks., • Define and enforce best practices, security standards, and performance optimization across Databricks workloads., • Design scalable big data architectures leveraging Spark, Delta Live Tables, Unity Catalog, and MLflow., • Build and optimize large-scale ETL/ELT pipelines using PySpark, SQL, and Delta., • Work closely with business leaders and product teams to translate requirements into robust technical solutions., • Guide development teams, perform architecture reviews, and ensure platform engineering excellence., • Optimize Databricks clusters, query performance, and cost management., • Implement data governance standards using Unity Catalog, RBAC, and compliance guidelines (GDPR, ISO)., • 10–15 years overall experience in data engineering or data architecture., • 5+ years of hands-on architecture experience specifically in Databricks., • Expert in Apache Spark, PySpark, Databricks SQL, Delta Lake, and distributed systems., • Strong understanding of Lakehouse architecture, BI ecosystems, and modern data platforms., • Cloud expertise in Azure / AWS / GCP (Azure preferred for many UK clients)., • Experience with CI/CD, Infrastructure-as-Code (Terraform preferred), and DevOps., • Databricks certifications (e.g., Databricks Certified Data Engineer Professional, Architect)., • Experience building ML solutions using MLflow or integrating with cloud ML services., • Experience in BFSI, Retail, Telecom, or Healthcare data environments., • Excellent communication and stakeholder management skills., • Strong problem-solving and solution-oriented mindset., • Ability to lead in a fast-paced and dynamic environment., • Work onsite with a high-impact, cutting-edge data team in London., • Opportunity to lead large-scale data transformation initiatives., • Exposure to enterprise data strategy, advanced analytics, and AI projects., • Competitive compensation and career-growth opportunities.

Lead Machine Learning Engineer Location: London Work model: Hybrid | 2 days on site Salary: Up to £125,000 + Package Eligible for security clearance Who you’ll be working with: As a Lead Machine Learning Engineer, you’ll drive the technical direction of complex AI projects, designing robust architectures and deploying cutting-edge solutions with clients. This hands-on role blends deep technical expertise with leadership—fostering team growth, driving innovation, and delivering high-impact, practical AI outcomes. What you’ll have the opportunity to do as a Lead Machine Learning Engineer: • Set the technical direction for complex ML projects, balancing trade-offs and guiding team priorities., • Design, implement, and maintain reliable, scalable ML systems, making sound architectural decisions., • Define project problems, develop roadmaps, and oversee delivery across multiple workstreams., • Build reusable ML tools and libraries and guide the team in applying them effectively across projects., • Lead hiring, mentor team members, and foster technical growth and collaboration., • Advise clients as a technical expert, providing estimates and rationale for high-impact work. What we need from a Lead Machine Learning Engineer: • Strong Python skills and experience operationalising models with frameworks like Scikit-learn, TensorFlow, or PyTorch., • Cloud and full-stack experience (AWS, Azure, or GCP) with containerisation (Docker) and orchestration (Kubernetes)., • Recognised technical expert with deep ML knowledge and broad problem-solving ability., • Excellent communicator, guiding teams and clients to deliver impactful AI solutions. As a Lead Machine Learning Engineer, what’s in it for you? • Competitive salary, • Unlimited holidays, • Private medical and dental cover

Senior 3rd Line Engineer IT Solutions Provider London / Hybrid Salary £50,000 to £60,000 Role Overview: • An established IT Solutions Provider is seeking a Senior 3rd Line Engineer to play a key role in delivering advanced infrastructure support and project delivery across a diverse client base., • This role combines senior level technical escalation, infrastructure project ownership, and client facing solution delivery. You will work across complex environments supporting servers, virtualisation, networking, cloud platforms, and security technologies., • You will act as a technical leader within the engineering team while helping clients modernise and strengthen their IT environments. Key Responsibilities: • Provide expert level 3rd line support across server infrastructure, networking, cloud platforms, and security systems., • Act as the primary escalation point for complex technical issues., • Lead infrastructure projects including server migrations, virtualisation deployments, Azure implementations, and network upgrades., • Design and deliver tailored IT solutions based on client needs., • Manage and support virtualised environments using Hyper V or VMware., • Support and maintain Microsoft Azure environments including virtual machines, identity, and storage., • Implement backup and disaster recovery solutions., • Maintain secure and resilient infrastructure across on premises and cloud environments., • Configure and manage firewalls and core networking technologies., • Work directly with clients to understand requirements and guide technical implementations., • Maintain documentation and provide recommendations for improvement., • Mentor junior engineers and support technical development within the team., • Support security best practice through implementation of endpoint protection and infrastructure hardening. Technical Skills and Experience: • Strong experience with Windows Server environments., • Advanced knowledge of Active Directory, DNS, DHCP, and Group Policy., • Hands on experience with Hyper V or VMware., • Experience working with Microsoft Azure including virtual machines, identity, and storage., • Backup and disaster recovery solutions such as Veeam, Cove, or Acronis., • Strong networking fundamentals including VLANs, subnetting, TCP IP, and VPNs., • Firewall experience with Fortinet, WatchGuard, Palo Alto, or similar platforms., • Experience with storage solutions such as Dell or Synology., • Knowledge of endpoint security tools such as Microsoft Defender or Sophos., • Experience delivering infrastructure projects including migrations and upgrades., • Background, • Experience working within a Managed Service Provider or IT Solutions environment is highly desirable., • Comfortable working in client facing roles. Package and Benefits • Salary £50,000 to £60,000., • Hybrid working model., • 40 hour working week., • Ongoing training and certification support., • Professional development opportunities., • Clear progression within a growing solutions focused provider.

Lead AI Engineer – Fully Remote £100,000 - £150,000 + Package AI Connect are partnering with a major UK bank to help them hire a Lead AI Engineer to design, build, and deploy next-generation AI systems. You’ll join the leadership team of a growing AI function focused on delivering production-grade, application-level AI solutions that transform customer experience and internal workflows. This is a hands-on leadership role where you’ll define technical direction, shape architecture, and build scalable agentic and multimodal systems that operate at enterprise scale. What You’ll Do • Design and deliver production-ready AI systems, focusing on real-world applications rather than experimental models., • Build and integrate LLM-powered solutions using APIs from models such as OpenAI, Claude, and Gemini., • Architect and implement agentic AI systems, including orchestration, tool usage, and multi-step reasoning workflows., • Design and optimise RAG pipelines that leverage internal data to generate accurate, context-aware responses., • Develop and implement evaluation frameworks to assess performance, reliability, and quality of AI systems., • Work across multimodal use cases, including text, voice, and image-based interactions., • Lead on solution design, system architecture, and technical strategy, ensuring systems are scalable, secure, and reliable. Key Skills & Experience • Proven experience as a Lead or Senior AI Engineer, building and deploying AI systems in production environments., • Strong experience working with LLMs via APIs (e.g. OpenAI, Claude, Gemini) in real-world applications., • Hands-on experience with agentic frameworks (e.g. LangGraph) and building multi-step AI workflows., • Experience designing RAG architectures and working with enterprise data., • Experience building evaluation frameworks for LLM or agent-based systems., • Strong software engineering background (Python, APIs, microservices, distributed systems)., • Experience with cloud platforms (AWS, Azure, or GCP) and containerised environments (e.g. Kubernetes)., • Strong system design and architecture experience for scalable, high-performance applications., • Experience working in regulated environments is advantageous but not essential.

Data Engineer | Energy & Commodities Trading | Greenfield Data Transformation | £95,000 + Bonus & Benefits | Hybrid London Data Engineer required for a global Energy & Commodities Trading organisation, supporting a greenfield data transformation programme within a fast-growing and highly commercial trading environment. This is an exciting opportunity to join a core engineering team responsible for shaping and delivering a scalable, enterprise-grade data platform. You will play a key role in building modern data capabilities that support trading, PnL analysis, market data processing, and strategic investment decisions. Working within a small but highly skilled team, this is a hands-on role with significant influence over architecture, tooling, and engineering standards. The Opportunity As Data Engineer, you will: • Design, develop, and maintain scalable cloud-based data platforms, • Build and optimise data pipelines for batch and real-time data processing, • Support the adoption and implementation of Azure Databricks across the organisation, • Process and integrate market and trading data to support analytics and reporting, • Develop robust data models aligned to trading and operational workflows, • Ensure performance optimisation, data lineage, auditability, and governance controls, • Partner with the Head of Core Engineering and wider technology teams to align data strategy with business growth objectives, • Integrate data platforms with front-end BI tools such as Power BI and Tableau This role forms part of a broader Azure-focused transformation, assessing key platform features and implementing scalable, production-ready solutions. Technology Environment You will be working across a modern Azure data stack, including: • Azure Databricks, • Azure Data Factory (ADF), • Synapse / Fabric, • Snowflake, • Python & PySpark, • SQL, • DevOps & CI/CD tooling within Azure Experience Required: • Strong experience in modern data engineering within trading or financial services (energy/commodities experience highly desirable), • Deep hands-on experience with Azure Databricks, • Strong Python programming capability (including PySpark), • Advanced SQL skills, • Experience building and orchestrating scalable data pipelines, • Strong understanding of data modelling and architecture principles, • Familiarity integrating data platforms with Power BI and/or Tableau, • Appreciation for data governance, auditability, and regulatory considerations Kep Points: 💰 Up to £95,000 + Bonus & Benefits 📍 London – Hybrid (3 days per week onsite) If you are interested in this Data Engineer opportunity, please respond with your latest CV and contact details for immediate consideration, or email directly to .

Data Engineer – Azure & Snowflake Modernisation (Outside IR35) 6‑month contract | 4 days/week on‑site (City of London) A leading organisation is modernising its data ingestion landscape and looking for a Data Engineer to help migrate legacy ETL workloads into scalable, cloud‑native pipelines on Azure and Snowflake. Responsibilites: • Designing and building robust batch and near‑real‑time ingestion pipelines, • Migrating legacy ETL/ELT into modern Azure + Snowflake patterns, • Implementing incremental loads, CDC, schema evolution, backfills, • Standardising ingestion using reusable frameworks and best practices, • Contributing to a modern data platform built on ADF, Databricks, Synapse Skills: • Strong data engineering background with a focus on data ingestion, • Hands‑on experience with Azure Data Factory, Databricks, Synapse, • Solid SQL and experience with Snowflake, • Proficiency in Python for data processing and automation, • Understanding of data lake/lakehouse patterns, • Exposure to Terraform, Azure DevOps, and orchestration tools (e.g., Dagster) Apply now for more details!

Fullstack Software Engineers – C#, .NET, Vue.js, JavaScript, Azure, Testing- Scotland - Award-Winning, High-Growth Tech Scale-Up Award-Winning, High-Growth Tech Scale-Up | AI-Powered SaaS | £40,000 - £60,000 + Market-Leading Benefits After 110% growth in the last 12 months, they are now investing heavily into engineering function to support their next stage of scale. These five hires will play a pivotal role in shaping the future of the platform. Your role will involve the following: 🌳 New product modules 🌳 UI modernisation initiatives 🌳 Workflow and automation improvements 🌳 Core platform scalability and resilience 🌳 High-impact customer-facing features Focus areas rotate annually, ensuring ongoing growth and variety. 💻 Tech Stack We’re seeking strong full-stack engineers who lead by example. Core stack includes: 🌳 .NET (Framework & Core) 🌳 Azure SQL + Azure Cloud 🌳 Vue.js, Vanilla JS, CSS, HTML (SPA) Bonus experience (nice to have): RabbitMQ, SignalR, broader Azure services 🌳 Azure Cognitive Search 🌳 Data pipelines (Fabric or similar) 🌳 Search technologies (Lucene, Elastic, NoSQL, MSSQL) 🌳 MS SQL views and performance optimisation 🌟 About You 🌳 A strong full-stack engineer with deep problem-solving instincts 🌳 Skilled at breaking down complexity into clear actions 🌳 Emotionally intelligent and great at aligning teams 🌳 Confident challenging assumptions and navigating ambiguity 🌳 Motivated to build elegant, scalable, future-ready solutions 🌳 Passionate about learning, improvement, and collaboration 🎁 What You’ll Get 🌳 £40,000 - £60,000 depending on experience 🌳 Remote-first working 🌳 £1,000+ personal & professional development budget 🌳 33 days holiday, rising to 40 🌳 4-week paid sabbatical after 5 years 🌳 Private healthcare, income protection, death-in-service 🌳 Matched 5% pension 🌳 Innovation Weeks (twice annually) 🌳 20 hours paid volunteering time 🌳 Monthly social time - hikes, BBQs, games nights, workshops 🌳 A supportive, ambitious, inclusive engineering culture 🌍 Working Model Remote-first across the UK 🌳 Collaboration days in Office 🌳 Flexible hours around a 37.5-hour week 🌳 No mandated office days — trust, autonomy, and delivery matter most 🚀 Urgent Hiring - Immediate Interviews Booked These five roles are high priority, with interview slots already reserved for strong candidates. 📌 Please ensure your CV clearly showcases: • technical leadership, • full-stack engineering experience, • relevant architectural or delivery ownership 🌳 Areti Group – Carbon Positive Tech Recruitment 🌳🌳🌳 People & Planet Before Profit. Building teams that leave the world better than we found it.

🌳X3 Hands On Software Engineering Managers/Tech leads – C#/.NET/AZURE - Data & Performance🌳 This is a hands-on technical leadership role with a strong focus on data architecture, application performance, and platform scalability. You’ll lead a small senior engineering team, combining technical delivery with people leadership (around 75% technical / 25% line management). Your focus will be on enabling the platform to scale intelligently — supporting reporting, APIs, AI/LLM usage, and real-time customer insight. 🔧 What You’ll Do 🌳 Lead and support a newly forming team focused on data architecture and application optimisation 🌳 Drive structural change within a large, established codebase to support scale 🌳 Influence architecture, design, and technology decisions across the platform 🌳 Partner closely with Product, Engineering Managers, and SRE leadership 🌳 Translate strategic scaling goals into clear, deliverable roadmap initiatives 🌳 Contribute to engineering-wide OKRs and technical direction 🌳 Champion a culture of learning, collaboration, and thoughtful technical challenge 🌳 Remain technically hands-on, solving complex backend and data-driven problems 💻 Tech Stack Strong backend experience is essential. Core technologies include: 🌳 C# / .NET (Framework & .NET Core) 🌳 Azure SQL Server 🌳 Azure Cloud Platform Bonus experience (nice to have): 🌳 Azure Cognitive Search 🌳 Data pipelines (Fabric or similar) 🌳 Search technologies (Lucene, Elastic, NoSQL, MSSQL) 🌳 MS SQL views and performance optimisation 🌟 About You You don’t need the job title — but you do need the leadership mindset. You’ll thrive here if you are: 🌳 A strong backend engineer with deep .NET and Azure experience 🌳 Comfortable leading technical change in mature, complex systems 🌳 Skilled at breaking down big, ambiguous problems into clear actions 🌳 Emotionally intelligent and collaborative across teams 🌳 Confident challenging decisions — kindly and constructively 🌳 Motivated by learning, improvement, and meaningful impact 🌳 An excellent communicator who helps align people and priorities 🎁 What You’ll Get 🌳 Up to £90,000 🌳 £1,000+ annual learning & development budget 🌳 33 days holiday (rising to 40) 🌳 4-week paid sabbatical after 5 years 🌳 Private medical, dental & vision cover 🌳 Income protection & death-in-service 🌳 Matched 5% pension 🌳 20 hours paid volunteering time 🌳 Regular team socials & All-Hands events 🌳 A genuinely kind, ambitious, inclusive engineering culture 🌍 Working Model 🌳 Remote role – Scotland/Manchester/Leeds

Azure IaaS Customer Engineer Technical skills: Broad knowledge of Azure infrastructure with deep understanding of the following: Azure Virtual Desktop Azure Networking Azure virtual machines Azure Arc Azure Backup Azure Site Recovery Azure Networking Azure Storage Azure Monitor Azure Insights Azure Policy Well architected framework (and implementation of concepts) Cloud adoption framework (and implementation of concepts) Well rounded skills in other general areas of Azure infrastructure (IaaS, PaaS, SaaS, etc) Nice to have: Understanding of competitor virtual desktop solutions and migration from VMware Horizon to AVD. Technical experience with hybrid infrastructures, architecture designs, and technology management. 15+ years experience with customer facing roles in systems architecture, administration, operations, software support, IT consulting, on-premises and cloud support or consulting for enterprise and/or government customer base, and advanced troubleshooting Understanding of Microsoft’s Modern IT Architecture and Strategy Proven track record in successfully planning, deploying, operating, and optimizingcloud environments Azure certifications (Azure Solutions Architect Expert; Azure Security Engineer Associate; Azure Administrator Associate) Candidates must be able to work independently. Characteristics of importance include but are not limited to customer service, problem solving, communication skills, and the ability to read/interpret the needs/wants of customer executives and leaders. Advanced Microsoft certifications are preferred. BA/BS (or higher) in Information Technology or equivalent experience Expert level of Microsoft enterprise software product offerings Excellent demonstrated customer service skills Role type: Advisory - architecture, consulting, and support to help customers drive solutions and resolutions

PKI / SSH Engineer We are currently recruiting for a PKI / SSH Engineer with Kubernetes experience to join one of our Insurance clients on a 6-month contract Inside IR35 / Hybrid Experience Required: • Extensive hands-on experience as a PKI Engineer, SSH Engineer, operating Venafi PKI, CLM and Venafi SSH Manager (Trust Protection Platform) in an enterprise environment., • Strong Kubernetes experience, • Strong understanding of CA hierarchies, certificate chains, X.509, CRLs, OCSP, mTLS, and TLS configurations., • Experience integrating PKI/SSH services with Azure Key Vault, AWS KMS, OpenSSH, Kubernetes and service mesh certificate architectures (mTLS, SPIFFE/SPIRE style identities)., • Proficiency with scripting and automation (Python, PowerShell, Bash, Go, JSON) and IaC tools (Azure DevOps, Terraform, Ansible)., • Experience modernising TLS certificate and SSH key management processes, uplifting protocol versions, and improving trust configurations., • Knowledge SSH tooling, including OpenSSL, OpenSSH, and Cloud Provider TLS/CA integrations and KMS APIs., • Experience migrating from long-lived SSH keys to SSH CA certificate based authentication., • Experience implementing workload identity across cloud platforms using certificates or cloud KMS., • Strong understanding of NIST/FIPS standards and relevant IETF RFCs for PKI, TLS, and SSH.

Typescript Full Stack Engineer – Consultant Salary: £50,000–£55,721 base plus benefits, perks, and healthcare options! Base Locations: London, Manchester, Newcastle or Glasgow (Hybrid working - operate out of any base!) Organisation: Global IT Consultancy Are you a Full Stack Engineer with deep expertise in Typescript and modern JavaScript frameworks? Join a fast-paced digital engineering community delivering innovative solutions across a wide range of transformation programmes. You’ll work with the latest technologies, collaborate in multi-disciplinary teams, and help shape high-impact digital products used across the UK What You’ll Do • Build high-quality microservices using NodeJS, • Develop responsive, modern front-end applications using React, Typescript, JavaScript, • Work with NextJS and Vite to build fast, scalable front-end solutions, • Deliver cloud-native applications using AWS or Azure, • Contribute to robust CI/CD pipelines (GitLab, GitHub, Jenkins), • Use containerisation tools such as Docker and Docker Compose, • Collaborate closely in agile teams across engineering, design and product, • Apply best practice in security, quality and maintainability What We’re Looking For.... Required • Strong experience building microservices with NodeJS, • Front-end engineering experience using React + Typescript/JavaScript, • Experience with NextJS and Vite, • Cloud experience (AWS or Azure), • Knowledge of Git and Git-based version control tools, • Experience with CI/CD (GitLab, GitHub, Jenkins), • Experience with Docker / Docker Compose, • Strong background working in agile delivery teams Desirable • Terraform or other Infrastructure-as-Code tools, • NoSQL databases (especially MongoDB) or SQL (e.g., Postgres), • Understanding of web standards, accessibility and development best practice Bonus Skills • Building microservices in C# or Java, • Integrating LLMs (e.g., LangChain, Vercel AI), • Using the GOV.UK Design System and Nunjucks What You’ll Love You’ll join a community that values technical excellence, continuous learning and collaboration. Expect: • Exposure to high-profile digital transformation programmes, • Access to extensive training and certifications across cloud, DevOps, engineering, cybersecurity and agile, • A dedicated international learning campus for immersive training experiences, • Monthly team events, digital showcases, breakfasts and away days, • Hybrid working and flexibility to support your work–life balance, • Strong wellbeing support, including wellbeing apps and trained mental health champions Ready to shape the next generation of digital excellence? If you’re a talented full stack engineer who wants to build innovative products, grow your skills and make a real impact, we’d love to hear from you. Apply today!

Senior React Engineer - £700 - £800 p/day – On-site (Central London) Overview We are hiring a Senior React Engineer to join a high-performance technology team within a leading financial services organisation operating in the oil and energy derivatives space. The business runs a cutting-edge electronic trading platform that serves both internal trading teams and external clients, offering low-latency, highly reliable trading access via a modern UI. We are looking for a self-starter who takes ownership of technical challenges and delivers robust solutions, with the ability to work under pressure in a fast-moving trading environment. You must also be a collaborative team player who communicates clearly and contributes to a high-quality engineering culture. Role & Responsibilities • Design, build, and maintain a React/TypeScript trading UI, delivering real-time streaming data and a seamless user experience, • Integrate the UI with RESTful and streaming APIs (built in Rust and Python), • Own performance improvements across dashboards, widgets, and live data visualisation, • Collaborate with QA and DevOps to enhance automated testing and deployment pipelines, • Lead efforts in securing, scaling, and monitoring the frontend environment, • Use observability tools (Prometheus, Grafana, Loki) to monitor UI health and performance, • Drive UI architectural decisions, performance benchmarking, and best practice implementation Essential Skills and Experience • Degree in Computer Science, Engineering, or a related field, • 5+ years of experience in frontend/UI engineering, with a focus on performance and scale, • Deep expertise in React, TypeScript, and JavaScript, • Strong understanding of WebSocket integration, low-latency data streaming, and threading, • Experience troubleshooting data-heavy UIs and optimising load times, • Familiarity with tools like Redis, Kafka, and cloud platforms such as Azure or AWS, • Proficient in Git and modern source control workflows, • Knowledge of performance diagnostics (e.g. Google PageSpeed Insights) and responsive UI optimisation Desirable Skills and Experience • Experience deploying apps to the Apple App Store, • Knowledge of web security best practices and cyber threat mitigation, • Familiarity with microservices and REST API architecture, • Exposure to Infrastructure as Code tools (e.g. Terraform), • Experience working with real-time trading or data visualisation platforms Package: • Initial 12 month contract (high possibility of extension), • Up to £800 p/day (dependent on level of experience), • Outside IR35, • On-site (Central London)

AI Engineer – Build the Future of Advanced Systems London · Hybrid · Full Time Up to £110,000 + Equity Are you ready to build AI that impacts real users, and pushes the boundaries of what’s possible with LLMs? Join us and help shape the future of intelligent products across complex, high value domains. The business is a fast scaling organisation building next generation AI systems used globally. Our teams combine deep technical expertise with a relentless bias for delivery. If you want to work with cutting edge models, own end‑to‑end solutions, and see your work drive meaningful real world outcomes this is the place. 🚀 The Opportunity As an AI Engineer, you will design, build, evaluate, and deploy cutting edge AI capabilities across multiple product lines. You will work on LLMs, agentic frameworks, retrieval systems, evaluation pipelines, and proprietary model improvements. You will collaborate with world class engineers and researchers, turning breakthrough ideas into high impact production systems. This is hands on, high ownership engineering, with huge scope, fast iteration cycles, and the ability to influence the direction of the entire AI roadmap. 🧠 What You’ll Work On You will own and contribute to projects such as: Build and deploy advanced GenAI models • Design, fine tune, and optimize LLMs, Transformers, and diffusion models., • Develop intelligent assistants, summarisation tools, document Q&A, code generation, and domain specific reasoning systems. Create high scale evaluation & monitoring frameworks • Build rigorous evaluation pipelines to benchmark models, detect drift, and guide R&D direction., • Ensure reproducible experimentation, robust deployment, and high quality model delivery. Develop powerful retrieval & agentic AI systems • Implement Retrieval Augmented Generation (RAG), vector search, and context aware pipelines., • Leverage embeddings, knowledge graphs, and multi-step reasoning agents. Take AI from idea → production • Deploy models into production using modern cloud platforms (AWS/Azure/GCP)., • Build scalable APIs, inference pipelines, and end‑to‑end MLOps workflows (MLflow, Kubeflow, Azure ML, Vertex AI, etc.). Shape the future of our AI platform • Prototype bold new ideas fast. Iterate with a “learn quickly, ship often” mindset., • Collaborate across engineering, product, and domain experts to identify high impact use cases and refine strategy. 🛠️ What You Bring Must‑Haves • Strong Python engineering skills and experience shipping AI/ML systems into production., • Hands‑on experience with LLMs, RAG, Transformers, or NLP/IR architectures., • Experience with prompt engineering, evaluation, and optimisation techniques., • Comfortable working with cloud infrastructure (AWS/Azure/GCP)., • Knowledge of MLOps workflows and ML tooling., • Clear communication and a collaborative mindset. Nice‑to‑Haves • Experience with LangChain, vector databases (Pinecone, Weaviate etc), or agent frameworks., • Track record of advanced side projects or research contributions., • Full stack familiarity (e.g., React, Postgres, TypeScript) is a plus. 💼 Why Join Us? Impact & Ownership You will build systems that real customers rely on fast. Your work won’t sit in a lab; it ships to production and shapes our core product. World Class Culture • High energy, collaborative environment with other exceptional engineers., • We reward creativity, curiosity, rigorous thinking, and shipping great work. Top Tier Compensation + Benefits • Up to £110,000 + meaningful equity, • Pension contributions, • Private medical insurance, • Income protection & life assurance Flexibility & Growth • Hybrid working model, • 25 days holiday + Bank Holidays, • Massive scope for career acceleration in a high growth environment Perks that boost performance • Free Lunch Wednesday’s & Friday’s, • High performance engineering culture, • Access to cutting edge research and tooling, • Annual AI Tools exploration budget 🎯 Who You Are You’re someone who: • Loves solving hard problems with elegant, scalable solutions, • Works with pace, ownership, and a positive mindset, • Gets energy from turning prototypes into polished, production ready systems, • Wants to build transformative AI, not just talk about it 📌 Important: UK right to work is required (no sponsorship available).

Role: Staff Data Engineer Location: London Area, United Kingdom (Hybrid) Employment Type: Full-time Seniority: Senior / Staff Level Salary: £95,000+ Bonus Are you a highly experienced Data Engineer ready to lead from the front and shape the future of a modern data platform? We’re looking for a Staff Data Engineer to play a pivotal role in a large-scale data transformation, driving the evolution of a cloud-native data platform. You’ll work at the intersection of engineering, product, and delivery—leading complex initiatives, mentoring engineers, and making high-impact technical decisions. This is an opportunity to be a true technical leader: setting standards, influencing strategy, and building scalable, high-quality data solutions in a collaborative, forward-thinking environment. What You’ll Do • Design, build, and own robust, scalable cloud-based data solutions with a strong focus on automation, • Lead a squad of data engineers, providing technical direction, mentoring, and coaching, • Drive complex engineering decisions and take ownership of high-impact backlog items, • Develop and enforce data engineering standards, frameworks, and best practices, • Design and optimise scalable data pipelines aligned to ETL principles and business objectives, • Collaborate closely with Product and Delivery teams to deliver high-value solutions, • Champion the adoption and evolution of a modern cloud data platform Required Experience • Proven experience operating at Senior or Staff Data Engineer level, • Strong leadership capability with experience mentoring and developing engineers, • Deep expertise in cloud-based data platforms (preferably Azure), • Strong background in end-to-end data solution design and data warehousing principles, • Hands-on experience with ETL tools (e.g. Databricks) and data processing frameworks, • Advanced proficiency in Python, SQL, and Spark, • Ability to navigate and deliver complex engineering challenges with confidence What Sets You Apart • A proactive, ownership-driven mindset with strong business awareness, • Experience influencing engineering strategy and driving best practices, • Passion for building high-performing engineering teams and communities, • Ability to communicate complex technical decisions to both technical and non-technical stakeholders Why Join You’ll be part of an ambitious transformation, helping to build a best-in-class data engineering function within a business that is redefining its digital future. You’ll work with cutting-edge technologies, solve meaningful problems at scale, and play a key role in democratising data across the organisation—all while doing some of the most impactful work of your career. If you’re a senior technical leader who thrives on ownership, mentorship, and solving complex data challenges, get in touch for a confidential conversation.

Identity Access Management (IAM) Lead - Hybrid (London) - £80k - £120k I am seeking a skilled and detail-oriented Identity & Access Management (IAM) Lead to join the cyber security team. In this role, you will be responsible for designing, implementing, and managing identity governance and access control systems to ensure secure and efficient access to organisational resources. Key Responsibilities • Design, implement, and maintain IAM solutions across cloud and on-premise environments, • Manage user identities, roles, and access privileges in line with security policies, • Support onboarding/offboarding processes and access provisioning workflows, • Conduct regular access reviews, audits, and compliance checks, • Collaborate with IT, security, and business teams to align IAM strategies, • Monitor and respond to identity-related security incidents, • Ensure compliance with industry standards (e.g., ISO 27001, GDPR, NIST), • Document IAM processes, procedures, and technical configurations Required Skills & Experience • Proven experience in Identity & Access Management or related cybersecurity roles, • Strong knowledge of IAM tools (e.g., Okta, Azure AD, SailPoint, Ping Identity), • Experience with authentication protocols (SAML, OAuth, OpenID Connect), • Familiarity with Active Directory, LDAP, and RBAC models, • Understanding of security frameworks and compliance standards, • Strong analytical and problem-solving skills, • Excellent communication and stakeholder management abilities Desirable Qualifications • Relevant certifications (e.g., CISSP, CISM, Azure Security Engineer, Okta Certified), • Experience with automation/scripting (PowerShell, Python), • Knowledge of Zero Trust architecture principles What We Offer • Competitive salary and benefits package, • Flexible working arrangements, • Opportunities for professional development and certifications, • A collaborative and forward-thinking work environment How to Apply If you’re passionate about cybersecurity and identity management, I'd love to hear from you!