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At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer centric mindset guides us in creating a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be a vital part of this mission, utilising your technical expertise to demonstrate how our Lakehouse Platform can help customers address their complex data challenges. You'll work with a collaborative, customer focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering. The impact you will have Engage with some of Databricks's largest and most complex customers across the UK & Ireland, defining their technical strategies and supporting them in adopting Databricks to achieve their business objectives. Collaborate with Databricks leadership, account teams and field engineers to define and execute customer engagement strategies. Demonstrate our Builder Culture to the highest standards, putting our principle of "show, not tell" into practice, supported by the full breadth of the latest in AI tooling and processes, to inspire customers and Bricksters on the art of the possible. Coach junior Solutions Architects and teams on use case prioritisation and building technical champions. You will influence stakeholders at all organisational levels through complex engagements with the broader cloud ecosystem and third party applications, ensuring they are excited by the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer facing collateral and leading workshops, seminars, and meet ups. Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for We are seeking a highly motivated and technically skilled individual to join our UK&I Enterprise Solutions Architecture team, which focuses on engaging with our largest and most complex customers, supporting them in executing strategic business change. This role offers the opportunity to be based in the London Office, with regular collaboration across the UK&I region and close alignment with our London based team. Core Technical Qualifications Hands on experience in technical pre sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI. Demonstrated ability to architect end to end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine tuning, RAG, MLOps for LLMs), using either open source and/or ISV tools such as Dataiku, Domino, DataRobot etc. Hands on experience and enthusiasm for building with AI based development tooling such as Genie Code, Claude Code, Cursor etc. Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark. Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). Hands on expertise in designing and delivering complex proofs of concept (PoCs). Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions. Experience in the full pre sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives). A customer centric mindset with a passion for building client relationships and internal partnerships with account teams. Seniority & Leadership Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer facing skills. Logistics Ability to commute to the London office regularly. Willingness and ability to travel approximately % of the time across UK&I and EMEA for customer visits. Nice to Have Databricks or other relevant Cloud/Data certifications. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

About Andercore Andercore is the AI-native supplier of industrial materials for energy, infrastructure, and construction in wholesale and beyond. We trade with global suppliers and distribute to European customers on our own account. Our AI runs the full trade and distribution end-to-end: sourcing, quality, pricing, sales, logistics, and embedded financing. For the customer, it feels like buying from their preferred local supplier; for our partners, it is the most convenient and safe way to do business across borders. Behind it, our software and agentic AI do the heavy lifting that used to take an asset intensive supply chain with four or five intermediaries and weeks of manual coordination. Where we are today: Strong triple digit million euro turnover Seven European markets live 80+ people across Berlin (HQ), offices in London, Mumbai, and Shanghai $40M Series B just closed, $75M raised to date from Atomico, Project A, and Inven Capital, institutional financing from international banks. We are building the world's first and last industrial grade AI operating system for materials, redefining how global trade works in one of the largest and most essential industries on earth. As a Senior Backend Engineer, you will be a technical anchor across the team - expected to lead by example, shape architecture decisions, and raise the quality bar for everything we ship. You will operate with a high degree of autonomy while staying deeply embedded in collaborative engineering culture. Tech Stack: Java 21 (Spring Boot 3), Python, LangGraph, LLM APIs (OpenAI, Anthropic, Gemini), PostgreSQL, Kinesis, AWS, Terraform, GitHub Actions, Node.js, TypeScript, Next.js, React. What you will do Take ownership of complex backend systems from design through production - including architecture, implementation, and long term maintenance. Lead technical discussions, drive engineering decisions, and document trade offs clearly for the team. Mentor junior and mid level engineers through code reviews, pairing sessions, and structured feedback. Identify systemic weaknesses in our infrastructure, propose improvements, and execute on them with minimal direction. Collaborate across engineering, product, and data to align technical direction with business goals. Drive improvements to observability, reliability, and performance across our backend stack. Contribute to hiring by participating in technical interviews and helping define the engineering bar. Who you are 7+ years of backend engineering experience, with a track record of owning critical systems in production. Deep expertise in Java (Spring Boot) and strong familiarity with Python; comfortable navigating a polyglot codebase. Proven experience designing distributed systems - event driven architecture, microservices, data pipelines. Strong command of PostgreSQL and experience working with cloud native infrastructure on AWS. Someone who has been through hypergrowth or scale challenges and has the scars and instincts to show for it. A multiplier: you make the engineers around you better through your presence, feedback, and technical clarity. Comfortable operating in ambiguity - you can shape requirements, not just execute on them. We are an equal opportunity employer and welcome applicants from all backgrounds, regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, disability, or any other characteristic. We believe that diversity drives innovation, creativity, and collective strength.

IT Operations Platforms and Security Lead This role requires excellent management of a small team in IT along with managing stakeholders and vendors. You must be hands on technically in IT Infrastructure. The IT Operational Platform and Security Lead is responsible for overseeing the organisation's IT operations, ensuring the stability, continuity, security, and efficiency of its technology platforms within a global commercial insurance environment. While Microsoft technologies (Microsoft 365, Azure, Exchange Online) form a core part of the infrastructure, the role also encompasses broader enterprise IT systems, multi layered networking, security, data management, and third party platforms that support global business operations and the associated applications estate. The role requires a proactive leader who can drive IT operational excellence, manage security risks, focus on continual service improvement, drive transformational delivery projects, and work effectively with internal stakeholders and third party vendors to deliver a high quality Global IT services. Working in line with the Architecture defined IT principle of a 'buy before build' environment, the individual will need to ensure that outsourced and cloud based services are robust, cost effective, and aligned with business needs and the Strategic IT vision. They will also play a key role in enhancing cybersecurity, protecting data and systems, driving transformative operational change, enhancing IT processes and ensuring compliance with governance bodies and industry regulations. Due to the nature of the role, complexity Security, Compliance & Risk Management Define and enforce cloud security policies, identity management, and access controls to protect systems, networks, and data. Oversee the adoption of zero trust security principles to enhance protection across cloud platforms. Manage identity and access management (IAM) in a cloud first environment, including Azure AD, MFA, Conditional Access, SSO, and Privileged Access Management (PAM). Lead threat monitoring, detection, and response using cloud native security solutions such as Microsoft Defender, Sentinel, and SIEM platforms. Ensure compliance with cloud security frameworks and regulatory requirements (ISO 27001, NIST, GDPR, SOC2, FCA). Conduct regular security risk assessments, penetration tests, and vulnerability management across cloud services. Oversee endpoint security, cloud network and API security for robust protection across all assets. Define, manage and maintain accurate DR and BCP plans for the infrastructure area with biannual tests. Technical Experience Microsoft Azure Infrastructure design and administration, including topology, Azure networking, services, and component knowledge. Microsoft AD (Entra), Server and SQL experience. O365 administration and design. Global Software Patching and estate management via Intune. Firewall (Azure, CheckPoint and Cloudflare), DNS, VPN, WIFI and Local Area Network design & administration experience. Software Defined Networking (Cisco, Meraki, Versa). Key Skills Microsoft 365 & Azure: Strong experience managing Microsoft 365 (Exchange, SharePoint, Teams), Azure cloud infrastructure, and security tools such as Microsoft Defender and Sentinel. Security & Compliance: Deep knowledge of security frameworks (ISO 27001, NIST, CIS), compliance requirements (GDPR, SOC2), and risk management best practices. Identity & Access Management (IAM): Expertise in Azure AD, MFA, Conditional Access, Single Sign On (SSO), and Privileged Access Management (PAM). Threat Management & Incident Response: Ability to detect, respond to, and mitigate cyber threats using SIEM, endpoint security, and vulnerability management tools. Networking & Infrastructure Security: Understanding of firewalls, VPNs, SD WAN, DNS security, endpoint protection, and cloud security controls. IT Service Management & Automation: Experience implementing ITIL based service management, automating operational tasks, and optimising service delivery. IT Operations & Service Continuity: Ability to ensure IT systems are highly available, resilient, and fit for purpose, with a strong focus on business continuity and disaster recovery. Supplier & Vendor Management: Experience managing third party IT vendors, MSPs, and SaaS providers, ensuring service levels, performance, and cost effectiveness. Project Leadership & Change Management: Ability to lead technology projects, system upgrades, and platform migrations, ensuring smooth execution and minimal business disruption. Process Improvement & Automation: Strong analytical mindset to identify inefficiencies, automate workflows, and enhance security controls. Problem Solving & Decision Making: Capable of making informed decisions and resolving complex IT issues in a fast paced environment. Stakeholder Engagement: Ability to communicate effectively with technical and non technical stakeholders, including senior leadership and business users. Resilience & Adaptability: Comfortable working in an evolving technology landscape, with a proactive and security first approach. Summary of Skills Required: Global Enterprise level Infrastructure Management position for the last 5 years. Global team management (human resources, strategic delivery, operational service, audit lead for Infra, budget ). Key - 3rd party operational infrastructure vendor management - i.e management of managed service partners. Migration of Legacy VM based estates to SaaS and Cloud services platforms. Legacy tech to Azure knowledge/experience. Prior to the last 5 years, a technical infrastructure engineering level background, working on Windows Server, AD , SQL environments, Firewalls/SDWAN, and Networks (WAN &/or LAN). The Client is based in the City of London. This is a hybrid position with 3 days in the office. The salary for this role will be in the range £85K - £100K plus Benefits. Do send your CV to us in Word format along with your salary and notice period.

Multiverse Computing Multiverse Computing is a fast growing deep tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with 250+ employees worldwide building advanced AI and quantum solutions that help enterprises tackle complex, high impact challenges across industries such as finance, energy, manufacturing, telecom, and industrials. Our mission is to enable organizations to gain a meaningful competitive edge through cutting edge AI and quantum technologies. Why join us? We are a European deep tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide - compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50-80%. Joining us means working on cutting edge solutions that make AI faster, greener, and more accessible - and being part of a company often described as a "quantum AI unicorn in the making." This opportunity is to work in our offices in London, UK. We are looking for a talented Solutions Architect to join our pre sales team and bridge the gap between our technology and our customers' needs, crafting innovative, scalable, and robust AI powered solutions. Key requirements Previous experience in a technical partner pre sales or consulting role with a heavy emphasis on partner and customer facing interactions (i.e. Solutions Architect, Sales Engineer, Implementation Consultant) Excellent communication and presentation skills, able to interface effectively with technical and non technical stakeholders; experience writing technical proposals or responding to RFPs/tenders; experience running hands on product demos independently. Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., SageMaker, Vertex AI, AzureML), including sovereign, on premise, and hybrid deployment models. Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization. Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, .safetensors, Hugging Face model hub). Experience sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200). Experience benchmarking and evaluating LLM performance (accuracy, latency, throughput). Hands on coding skills in Python, SQL, and familiarity with ML libraries and frameworks (PyTorch, TensorFlow, Hugging Face). Bachelor's or master's degree in Computer Science, Data Science, Engineering, or related field. Must be available to travel as needed for meetings, conferences, and project requirements. Languages: English Preferred Qualifications Experience with Computer Vision models, Speech models, Vision Language models, and other modalities. Experience with AI model optimization, quantization, or deployment to edge devices. Hands on experience designing RAG pipelines and/or multi agent systems. Experience designing data architectures (batch & streaming) and working with big data technologies. Knowledge of data privacy and ethical considerations in AI, including GDPR compliance and familiarity with the EU AI Act. Location Applicants must have legal authorization to work in the country where the position is based. Perks & Benefits Equal pay guaranteed. Signing bonus. Relocation package (if applicable). Eligibility for educational budget according to internal policy. Hybrid opportunity. Flexible working hours. Language classes and discounted lunch options Working in a high paced environment, working on cutting edge technologies. Career plan. Opportunity to learn and teach. As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.

This is a great opportunity for an experienced full stack engineer to join our growing engineering team. You'll report to the CTO and work alongside the founders and the rest of our small engineering team. Role You'll build a SaaS application using cutting edge technology (React, Rust & TypeScript), and you'll be hands on with everything adjacent to that, from cloud deployment to system architecture. You'll work across the stack. We're still a small team, so you'll be involved in every aspect of the product. That means more than the frontend and backend of our codebase: you might speak to users to help them get the most out of the product, or help the sales team build a demo for a pitch. You'll influence what we build together, not just how we build it - you'll decide where we should focus our efforts to deliver the most value for our customers, and lay a solid foundation for the product and the business in the future. You'll work alongside engineers with previous experience building and scaling a B2B SaaS product from zero to exit. We're looking for someone who is motivated by making a difference for customers, and by building something that solves real problems for real people. thrives in a fast paced, less structured operating environment - you're confident in your ability to be sure you're working on the most important thing at any given moment. cares about building high quality software, and you have strong opinions on how to do that. You understand the trade offs between doing things 'right', and doing things 'at the right time' in a growing business. is comfortable working on the backend or the frontend, building 'both sides' of a feature - even if you have a preference for one or the other. has 5+ years of experience in Software Engineering, building customer facing applications where you spoke directly to users. can demonstrate proficiency using Rust in a professional or open source context. is able to spend at least 2 days (Monday + Tuesday) per week at our office in Central London. Benefits £80-100k salary depending on your experience. We think you should choose how to spend your comp, not us! We prioritise your base salary over expensive benefits. Every role comes with generous equity options. 33 days of annual leave per year. This includes public holidays (you are free to take them on public holidays or not). Currently, the first Friday of every month is a company wide day off, which doesn't eat up your leave allowance. FAQs What is your office/remote working policy? Everybody attends our Central London office on Mondays and Tuesdays, unless it's a day off! It's really important for us to have this time together, face to face. You can choose to work from home or attend the office on Wednesdays, Thursdays and Fridays. What are the working hours like? We believe that we get the best results in the long term by keeping things sustainable. Problem solving and relationship building works better when you're feeling fresh! Aim for 9am 6pm with flexibility when you need it. Sometimes we'll have to work late or on a weekend to meet a deadline, but this is the exception and not the norm. We expect you to use up your annual leave allowance in full and encourage you to make best use of the monthly Friday off! (see Benefits) Where is the office? The office is currently located right next to Victoria station in London. If we move to a new office, it will be in Central London and near to a public transport hub. Do you have company socials? We have a social every month on an office Tuesday. There's a generous budget so we can enjoy an activity or go for a nice meal. What is your tech stack? We're using React & TypeScript on the frontend, and Rust on the backend - everything is hosted on Google Cloud, and we're all in on Postgres. Interview process 30 minute initial call Take home task Half day on site final interviews

Job ID: 36123 Job location: London, GB IT Manager, enterprise infrastructure services & cloud Why we need this role The Manager IT Infrastructure (M365, Azure, GCP, Windows & VDI) is responsible for the end-to-end delivery, operation, and performance of critical enterprise platforms, including Microsoft 365, Azure, GCP, Windows Server, VDI, and Citrix services. The role leads a team of approximately 15 engineers, ensuring the secure, stable, and efficient operation of business-critical services, while delivering roadmap initiatives, platform improvements, and automation outcomes aligned to architecture and strategy. Working closely with Architecture, Security, Development, and wider Operations teams, the role ensures solutions are delivered, integrated, and operated at scale, with a strong focus on service reliability, security, cost efficiency, and user experience. The role embeds operational excellence, resilience, automation, and governance, driving standardisation and continuous improvement across cloud, workplace, and identity platforms. Through strong leadership and execution, it reduces risk, complexity, and operational overhead, while improving service performance, stability, and cost control. What you will do Microsoft 365 Platforms: Ownership of collaboration and productivity services (Teams, Exchange, SharePoint, OneDrive, Intune), including service performance, governance, security, lifecycle, and user experience. Azure & GCP Cloud: Operational management of cloud platforms including landing zones, subscriptions/projects, connectivity, platform services, and governance controls. Windows & End User Platforms: Management of Windows Server and end-user compute platforms, including build, patching, configuration, and lifecycle. VDI & Citrix: Delivery and operation of virtual desktop environments, ensuring performance, availability, and user experience. Identity & Access: Operational ownership of Active Directory and Entra ID, including authentication, Conditional Access, privileged access, and directory services. Cloud Security & Compliance: Enforcement of secure configurations, monitoring, logging, and policy controls across all platforms. Standardisation, Automation & Tooling: Leads delivery of standardisation, automation, tooling, and operational consistency across cloud and workplace platforms. Key Accountabilities Service Delivery, Engineering & Operations Lead the build, delivery, and operation of critical infrastructure services across M365, cloud, Windows, and VDI. Ensure platforms meet availability, performance, and service level expectations. Act as senior escalation point for major incidents and service issues. Security, Resilience & Service Stability Ensure secure-by-design and operational security controls are implemented and maintained. Own resilience, recoverability, monitoring, and service continuity across platforms. Roadmap Delivery & Continuous Improvement Deliver platform roadmaps and improvement initiatives in line with architectural direction. Drive continuous improvement in automation, efficiency, and service quality. Team Leadership & Capability Development Lead and develop a high-performing engineering team (FTE & contingent). Build capability across cloud, workplace, and identity domains. Ensure effective workload management, prioritisation, and delivery. Cross-Domain Collaboration & Integration Work with Architecture, Security, Development, and Operations teams to deliver integrated services. Ensure solutions are fully transitioned, supported, and operationally sustainable. Vendor & Service Management Ensure service performance, delivery quality, and issue resolution. Operational Governance, Cost & Optimisation Ensure services are aligned to standards and governed through full lifecycle. Manage operational cost, capacity, and efficiency. Drive automation, standardisation, and reduction of technical debt and complexity. Additional Focus Areas Ownership & Accountability: Owns service outcomes across availability, security, and cost. Leadership & Team Development: Builds, leads, and develops high-performing teams. Execution & Delivery: Drives consistent, high-quality service and platform delivery. Collaboration & Influence: Works effectively across domains and stakeholders. Adaptability & Improvement: Responds to operational challenges while driving automation and optimisation. What we're looking for Extensive experience leading infrastructure engineering and operations teams in enterprise environments. Strong expertise across Microsoft 365 and workplace services, Azure and GCP cloud operations, Windows Server, VDI/Citrix, and identity (Active Directory, Entra), with robust knowledge of security, resilience, operational controls, and automation tooling. Proven ability to manage business-critical services at scale. Strong stakeholder, vendor, and team leadership capability. Excellent operational, analytical, and decision-making skills. Ownership & Accountability: Takes responsibility for delivering outcomes and driving technical excellence. Leadership & Influence: Ability to inspire, motivate, and guide team members toward achieving goals. Communication: Clear and concise verbal and written communication skills for technical and non-technical audiences. Problem Solving: Strong analytical skills to troubleshoot complex issues and implement effective solutions. Collaboration: Skilled at building relationships and working effectively across teams and stakeholders. Adaptability: Comfortable managing priorities in a fast-paced, evolving environment. Continuous Improvement Mindset: Proactive in identifying opportunities for process and technology enhancements. Qualifications Bachelor's degree in Computer Science, Information Technology, or equivalent experience. Relevant certifications (e.g., Microsoft Certified: Azure Solutions Architect, Citrix Certified Expert, VMware VCP, Google Cloud Professional Architect) preferred. Diversity and Inclusion Inclusion and valuing diversity of thought and experience are at the heart of our culture. We welcome people with diverse backgrounds and experiences, regardless of gender identity or expression, sexual orientation, race, religion, disability, neurodiversity, age, marital status, pregnancy status, or place of birth. Recent Initiatives Signed the UN Women Empowerment Principles which guide our Gender Action Plan. Trained 60+ employees to be Mental Health First Aiders. Provide adjustments to our recruitment process to support candidates as required. Benefits Flexible working hours and the option to work from home. Extensive induction programme with experienced mentors and buddies. Opportunities for further development and educational opportunities. Global Family Leave Policy. Employee Assistance Programme. Internal inclusion & diversity employee networks.

Position Overview Protect identities at global scale. We're hiring a hands on Senior Identity Protection Engineer/Specialist to lead detection, investigation, and response for identity based threats across Microsoft Entra ID/Azure AD, on prem Active Directory, and connected SaaS/IaaS. You'll serve as the enterprise SME/administrator for CrowdStrike Identity Protection, tune high fidelity detections, integrate dark web intelligence, and orchestrate automation that measurably reduces MTTD/MTTR and risk. What you'll do Lead identity threat monitoring and triage Operate and tune CrowdStrike Identity Protection; monitor SIEM/UEBA and identity telemetry for risks like impossible travel, atypical sign ins, MFA fatigue, and session hijacking Validate true/false positives, prioritize by business impact, and escalate per playbooks/SLAs Drive rapid containment and remediation Execute containment actions (disable accounts, revoke sessions/tokens, isolate hosts) Coordinate remediation with IAM/Endpoint/Infrastructure; verify risk reduction to closure Own identity focused incident response Lead IR for credential compromise, privilege escalation, directory persistence, and lateral movement Ensure evidence handling, root cause analysis, post incident reviews, and lessons learned Engineer detections and hunt for threats Build and refine detections and hunts across SIEM/EDR/identity platforms using KQL/SQL/regex/Sigma aligned to MITRE ATT&CK Close visibility gaps, reduce false positives, and expand privileged activity monitoring Strengthen privileged access controls Detect anomalous privileged behavior via SIEM/UEBA and Netskope telemetry Recommend/enforce JIT, break glass patterns, and mover/leaver privilege hygiene with IAM Respond to dark web/credential exposure Integrate sources like CyberInt; assess exposure and targeted campaigns Orchestrate takedowns, forced resets, token revocation, and Conditional Access updates Administer platforms and sustain hygiene Maintain coverage/health for identity monitoring; manage upgrades and changes via CAB Keep operational runbooks, SOPs, and playbooks current Automate and orchestrate at scale Use PowerShell/Python and REST/Graph/CrowdStrike APIs (and SOAR where applicable) to automate enrichment and response, standardize workflows, and improve signal fidelity Shape identity policy and controls Advise on Conditional Access, MFA exceptions, SSO/SCIM patterns, and session controls under the shared responsibility model with IAM Report outcomes and support audits Produce executive ready dashboards and KPIs (identity incident volume, MTTD/MTTR, CA/MFA efficacy, exposure/takedown cycle time) Maintain audit ready evidence and support internal/external audits What you'll bring Bachelor's degree in Cybersecurity, Computer Science, IT, or related field; or equivalent practical experience 8+ years in IT/cybersecurity, including 3-5+ years focused on identity security/operations (Entra ID/Azure AD, on prem AD, MFA, Conditional Access, SSO/SCIM) Hands on enterprise experience administering/operating CrowdStrike Identity Protection Proficiency with SIEM/UEBA (Splunk preferred) and cloud security platforms (e.g., Netskope) for identity telemetry, detection, and investigations Demonstrated experience in identity centric IR, threat hunting, and detection engineering (KQL/SQL/regex/Sigma) Scripting/automation with PowerShell and Python; experience with REST/Graph/CrowdStrike APIs and SOAR Clear communication and documentation skills; comfortable producing executive ready reports and audit evidence Operates effectively within change control/CAB and under pressure during high severity incidents Bonus points Certifications: Microsoft SC 200/SC 300; Okta Certified Administrator/Professional; CISSP, SSCP, Security+; GIAC (GMON, GCIH, GCDA) or equivalent Deep knowledge of identity attack paths and protocols (Kerberos/NTLM), token/session abuse, and persistence techniques (e.g., Golden/Silver Ticket, DCShadow) Experience with JIT/JEA, PAM concepts, and global on call rotations Location, work style, and travel Opportunities in the United States, United Kingdom, and Denmark Onsite or hybrid depending on location and business needs Occasional on call coverage may be required Why you'll love it here Own a mission critical identity defense stack and make measurable impact on MTTD/MTTR and privilege hygiene Solve complex problems from dark web exposure to directory persistence and lateral movement Collaborate with experienced global teams and leading vendors to continuously raise the bar Grow your career in a modern, data driven security operations environment Our programs are designed to focus on maintaining and enhancing all pillars of health with a robust benefitspackage including medical, dental, vision and prescription drug coverage with the option of a Health Savings Account with company contributions. In addition, we offer an industry leading 401(k) savings plan, insurance coverage, employee assistance programs and various wellness incentives. We support life work balance with paid vacation time, sick time, and company holidays. Explore a supportive environment that enriches both your personal and professional growth! EEO Information Fujifilm is committed to providing equal opportunities in hiring, promotion and advancement, compensation, benefits, and training regardless of nationality, age, gender, sexual orientation or gender identity, race, ethnicity, religion, political creed, ideology, national, or social origin, disability, veteran status, etc. ADA Information If you require reasonable accommodation in completing this application, interviewing, completing any pre employment testing, or otherwise participating in the employee selection process, please direct your inquiries to our HR Department ().

Senior Full Stack Developer Reporting to: Engineering Manager Office Environment: Hybrid (minimum two days per week) Type: Full time, permanent Join Our Mission Skip the queue. Shape the future. See real impact. At QuantSpark, we're transforming how data and AI serve society. We combine the analytical discipline of strategy consulting with the pace and ownership of a scale-up. That means you'll work directly on the problems that matter most-whether combating economic crime, modernising government services, or accelerating commercial growth for FTSE 100 companies. Here, you'll compress 5-10 years of traditional career progression into 2-3 years. From day one, you'll lead end-to-end projects, access leadership directly (including the CEO), and build cross-industry expertise that usually takes a decade to gain. We don't just develop - we build, own, and scale solutions that shape the organisations we work with and have meaningful societal impact. Our Client Portfolio We partner with forward-thinking organisations across sectors: Private Equity & Financial Services: Portfolio analytics, AI-powered value creation, and risk management tools for global investment and wealth firms. Retail & Consumer: Pricing optimisation, inventory efficiency, and personalised engagement for major UK retailers and brands. Asset Management: Advanced investment platforms and automated risk management for asset managers. Public Sector: Trusted by multiple UK government departments for fraud analytics, predictive maintenance, and supply chain optimisation. SaaS & Manufacturing: Sector-spanning technology transformation for SaaS innovators and manufacturers. The Role You'll design, build, and scale web applications across backend and frontend, owning projects from ideation through to production - architecture, CI/CD, cloud infrastructure, monitoring, the lot. We're a small team that punches well above its weight. Client feedback is outstanding, and every engineer here has a visible impact. Day to day, you'll: Architect and deliver scalable, secure software for commercial clients across multiple sectors. Assess technical trade-offs and guide design decisions across projects. Write, review, and own high-quality code - primarily Python (Flask, FastAPI, or Django) and JavaScript/TypeScript (React preferred). Build and maintain RESTful APIs and modern frontends. Work directly with clients - communicating clearly, understanding the why behind what you're building. Feed into new client proposals and help improve internal engineering processes. Mentor junior developers through code reviews, pairing, and knowledge-sharing. Use AI coding agents to accelerate delivery whilst maintaining correctness and security. AI Engineering (Required) Hands-on experience with AI coding agents in day-to-day work - prompting, iterating, reviewing generated code, validating outputs. Working understanding of LLM fundamentals and limitations (hallucinations, context windows, evaluation). Familiarity with prompting patterns, tool use, and concepts like RAG and embeddings. Awareness of safety and privacy concerns when using AI tools (secrets, PII, licensing). Ability to integrate AI into your workflow without compromising code quality. What We're Looking For 5+ years' experience as a full-stack engineer. Strong track record delivering enterprise-grade web applications and APIs. Confident across Python backend frameworks and modern frontend (React/TypeScript). Comfortable owning the full product lifecycle. Proactive, accountable, and effective in small, fast-moving teams. Clear communicator across technical and non-technical audiences. Keen to broaden into a generalist whilst deepening your core strengths - not just staying in one lane. What We Offer Tech ownership and autonomy from day one. High-impact work - you'll see real results within months, not years. Room to innovate, not just maintain. A small, collaborative team that owns problems end to end and learns fast. Clients ambitious enough to rethink how they use data and technology. A clear path to leading technical programmes and shaping strategy - growth here is earned, not queued. Perks & Benefits £6,000 annual training & conference budget to stay at the cutting edge Up to 6% matched pension for long-term financial security Comprehensive private healthcare via Vitality EMI share options scheme - own a piece of the growth you help create Work from anywhere in the world for up to 1 month/year 25 days holiday + buy/sell up to 5 additional days Cycle-to-work scheme for sustainable commuting Central London office stocked with refreshments, socials, and vibrant atmosphere Exclusive discounts on retail, travel, tech & fitness memberships Access to cutting-edge tools, platforms, and regular tech talks & innovation time Equal Opportunities We're building a team that benefits from different perspectives, experiences, and ways of thinking. We know that great talent comes from all backgrounds, and we encourage applications from everyone who meets the role requirements, regardless of age, disability, gender identity, race, religion, sexuality, or any other characteristic. If you're unsure whether you're a perfect fit but believe you can do the job well, we'd still like to hear from you. We hire based on your skills, potential, and ability to contribute to our team, and we're committed to a fair and objective selection process for all candidates.

Skills Required Proficiency with Git and cloud platforms, specifically AWS and GCP. Hands-on experience with scripting languages such as Python, Go, or Node.js is essential. Responsibilities You will be responsible for deploying updates and fixes while ensuring high service uptime. Principal Software Engineer, Nifty Gateway Senior/Staff Software Engineer, Data Platform 108 E 16th Street, New York, NY 10003

Skills Required Proficiency with Git and cloud platforms, specifically AWS and GCP. Hands-on experience with scripting languages such as Python, Go, or Node.js is essential. Responsibilities You will be responsible for deploying updates and fixes while ensuring high service uptime. Principal Software Engineer, Nifty Gateway Senior/Staff Software Engineer, Data Platform 108 E 16th Street, New York, NY 10003

About client Well-funded and fast-growing deep-tech company founded in 2019. We are the biggest Quantum Software company in the EU. They are also one of the 100 most promising companies in AI in the world (according to CB Insights, 2023) with 150+ employees and growing, fully multicultural and international. Requirements Systems Programming Expertise: 10+ years of software engineering experience with strong proficiency in Python. You must be comfortable building system agents, APIs, and CLI tools. Deep Kubernetes Knowledge: You understand K8s internals beyond simple deployment. Experience with Custom Resource Definitions (CRDs), Operators, and the Kubernetes API server architecture. GPU Ecosystem Experience: Hands on experience managing NVIDIA GPU clusters. Familiarity with NVIDIA drivers, CUDA toolkit, and the container runtime (NVIDIA Container Toolkit). Linux Internals: Deep understanding of the Linux kernel, cgroups, namespaces, and system performance tuning. Infrastructure as Code: Mastery of declarative infrastructure tools (Terraform, Ansible) but with a focus on provisioning physical hardware rather than just cloud VMs. Problem Solving: A proven track record of debugging complex distributed systems where the root cause could be code, network, or silicon. Preferred qualifications HPC Background: Experience working with traditional supercomputing schedulers (Slurm, PBS) or modern batch schedulers (Volcano, Kueue, Ray). Bare Metal Provisioning: Experience with tools like Cluster API (CAPI), Metal3, Tinkerbell, Canonical MaaS, or OpenStack Ironic. High Speed Networking: Knowledge of RDMA, InfiniBand, GPUDirect, and how to expose these technologies to containerized workloads. AI/ML Familiarity: Understanding of how distributed training works (e.g., PyTorch Distributed, Megatron LM, DeepSpeed) and the infrastructure requirements of Large Language Models (LLMs). Observability: Experience building monitoring for hardware health (DCGM) and distributed tracing for long running jobs. Location Applicants must have legal authorization to work in the country where the position is based. What you will be doing Building the Control Plane: Designing and developing the software layer (APIs, Controllers, Agents) that automates the lifecycle of bare metal AI infrastructure. Orchestrating High Scale Compute: Architecting scheduling solutions for large scale distributed training jobs across massive clusters of GPUs (NVIDIA H200/B200/B300), ensuring efficient bin packing and gang scheduling. Optimizing the Fabric: Tuning the software defined networking layer to support low latency interconnects (InfiniBand/RDMA/RoCEv2) essential for multi node training. Developing Kubernetes Extensions: Writing custom Kubernetes Operators and CRDs to abstract complex hardware realities (topology awareness, GPU partitioning) into usable interfaces for our Data Scientists. Hardware Level Debugging: Investigating and resolving deep systems issues, ranging from PCIe bus errors and NCCL communication timeouts to kernel panics on bare metal nodes. Defining Standards: Creating the "Golden Image" for AI workloads, managing drivers, firmware, and OS optimizations to squeeze maximum performance out of the hardware. Perks & Benefits Indefinite contract. Equal pay guaranteed. Variable performance bonus. Signing bonus. Relocation package (if applicable). Private health insurance. Eligibility for educational budget according to internal policy. Hybrid opportunity. Flexible working hours. Working in a high paced environment, working on cutting edge technologies. Career plan. Opportunity to learn and teach. Progressive Company. Happy people culture.

Join us and shape the future of risk technology with your expertise in data engineering and software development. You will have the opportunity to push boundaries, innovate, and make a meaningful impact on our business. We value diversity, inclusion, and respect, fostering a collaborative environment where your ideas matter. Experience career growth and mobility while working with market-leading technology products. Be part of a team that thrives on creativity and continuous improvement. As a Senior Lead Software Engineer at JPMorgan Chase within the Data Platform & Strategy team within Corporate Risk Technology, you will design, build, and enhance advanced data engineering solutions. You will play a pivotal role in delivering secure, stable, and scalable technology products that support our business objectives. You will collaborate with agile teams, contribute to technical strategy, and drive innovation across multiple technical areas. Your work will help shape the team culture and the impact of our technology solutions. Job Responsibilities Execute creative software solutions, design, development, and technical troubleshooting to solve complex problems Develop secure, high-quality production code for data-intensive applications and review code written by others Identify opportunities to automate remediation of recurring issues and improve operational stability Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials Drive communities of practice across Software Engineering to promote new and leading-edge technologies Foster a team culture of opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills Proficiency in Engineering & Architecture, AI/ML, with hands on experience designing, implementing, testing, and ensuring operational stability of large scale enterprise data platforms Advanced skills in one or more programming languages such as Java, Python, C/C++, or C# Practical experience delivering system design, application development, testing, and operational stability Working knowledge of relational and NoSQL databases and data lake architectures Experience developing, debugging, and maintaining code with modern programming languages and database querying languages Experience in large scale data processing, microservices, API design, Kafka, Redis, MemCached, Observability tools (Dynatrace, Splunk, Grafana), and Orchestration tools (Airflow, Temporal) Proficiency in automation, continuous delivery methods, and all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies, CI/CD, application resiliency, and security Practical cloud native experience Preferred Qualifications, Capabilities, and Skills Experience with modern data technologies such as Databricks or Snowflake Hands on experience with Spark/PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, machine learning, or mobile Knowledge of the financial services industry and their IT systems

About the role You will report directly to the Head of Information Security and work alongside a Senior Technical Support Engineer to form the senior core of the IT Delivery and Security Services team. You will own a broad portfolio of security responsibilities, from application security and secure SDLC enablement to AI governance and security programmes, with significant autonomy to shape how that work gets done. The role is hybrid within the UK, with occasional travel to our London office for collaboration and workshops. What you will be doing Application Security and Secure SDLC Embed security into Agile development by partnering with engineering squads during planning, refinement, and delivery, and be the security voice in the room. Define, roll out, and continuously improve secure coding standards, secure design patterns, and developer-friendly guidance that scales across the engineering team. Run threat modelling for new features and major architectural changes, capturing abuse cases and security requirements early, and apply emerging frameworks to model and mitigate new threat surfaces, especially for AI-powered features. Own SAST, SCA, DAST, container, and IaC scanning pipelines, using Snyk as the primary platform. Integrate with CI/CD, manage policies, and focus on developer experience and false-positive reduction. Triage and manage vulnerabilities end-to-end: classification, SLAs, fix validation, and reporting. Build frictionless guardrails such as pre-commit hooks, secure templates, reference code, and paved paths that make doing the right thing easy. Deliver targeted training and just-in-time enablement based on findings and stack specifics. Security Architecture and Design Advise on architecture choices for key product feature developments, including authorisation, secrets and key management, data protection, and zero-trust-aligned designs. Guide secure API and microservice patterns, including input validation, rate limiting, secure session handling, and token-based security (OAuth 2.0/OIDC). Review designs for cloud-native services and edge components, ensuring sensible security trade-offs aligned to product goals. Advise on the security architecture of agent orchestration, tool integrations, memory handling, and MCP server deployments as agentic AI capabilities expand. AI Security and Governance Apply and evolve Semble's approach to AI specific threats: prompt injection, excessive agent autonomy, tool and plugin abuse, AI supply chain risks, and context manipulation, using OWASP LLM Top 10 and OWASP Top 10 for Agentic Applications. Work with the Head of Information Security to develop and maintain AI governance posture, aligned with ISO 42001 and evolving AI regulatory landscape in healthcare. Assess risks from third party AI integrations, AI assisted development tooling, and agentic workflows, and implement appropriate mitigations. Security Operations and Threat Management Monitor, investigate, and respond to security alerts, incidents, and anomalous behaviour across Semble's environment. Develop and mature threat intelligence capabilities, including vulnerability management, penetration testing coordination, and incident response processes. Maintain and improve security tooling, logging, and detection capabilities with an automation first mindset. Contribute to incident response runbooks for application layer and AI related incidents, and support blameless post incident reviews to embed learning back into the SDLC. Identify and address security gaps proactively, improving the overall security posture. Compliance, Certification and Audit Readiness Own or co own delivery of compliance programmes, including ISO 27001, Cyber Essentials+, NHS DSPT, and the journey toward SOC 2 readiness. Support and contribute to ISO 42001 implementation as AI governance matures. Define and track pragmatic security KPIs such as time to remediate, coverage, critical resolutions within SLA, threat model coverage, and audit readiness indicators. Maintain audit quality documentation, evidence, and records at all times. Customer and Stakeholder Engagement Support the sales process by responding to customer security questionnaires and due diligence requests with accuracy and confidence. Occasionally engage directly with customers on security topics, acting as a credible representative of Semble's security function. Work with internal stakeholders to ensure security requirements are understood and embedded across the business. What we are looking for Required Minimum of 5 years' experience in application security, product security, or a combination of software engineering and security with strong AppSec ownership. Hands on experience with Snyk across SCA, SAST, Container, and IaC, including CI/CD integration and policy management. Strong grounding in modern web and application security: OWASP Top 10, API Security Top 10, and emerging understanding of the OWASP Top 10 for Agentic Applications. Practical experience embedding security into Agile workflows and DevSecOps tooling. Solid understanding of authn/authz patterns, secrets management, encryption, and cloud native security controls. Experience with compliance frameworks, particularly ISO 27001; familiarity with Cyber Essentials+, NHS DSPT, or SOC 2 is a strong advantage. Practical understanding of AI security risks, including prompt injection, LLM vulnerabilities, and agentic system threats, and how to address them in a product context. Experience working in a SaaS environment or similarly regulated industry, appreciating the product, engineering, and commercial context that security decisions sit within. Ability to communicate clearly with engineers, leadership, and occasionally customers, translating complex security risk into clear, actionable language. Genuine, hands on AI experience: you must be able to discuss specific ways you are already using AI to improve security operations, detection, or engineering workflows. A track record of maintaining security programmes to a continuously high standard, with audit readiness as a default rather than a periodic event. A proactive, ownership mindset: you identify gaps, propose solutions, and deliver them without waiting to be told. Desirable CISSP certification (strongly preferred). Experience with threat modelling methodologies such as STRIDE or attack trees, and running effective threat model sessions with engineering teams. Familiarity with API gateways, container orchestration, and software supply chain security. Experience securing AI enabled features, ML pipelines, agentic workflows, or MCP based integrations. Experience building or maturing a security function within a scaling organisation. Exposure to healthcare data regulations and NHS security requirements. Proficiency in the French language (nice to have, not mandatory). Benefits £80-90k salary package, reflecting the specialist and technical nature of this role. Autonomy and ownership - you set the vision and run with it. 36 days off: 25 holidays + bank holidays + 3 extra days (birthday and feel good days). Private health insurance covering physical and mental health, as well as dental and optical. Hybrid & flexible work environment - work from anywhere in the UK, with some flexibility to work across Europe. Latest MacBook (or Windows) and equipment to set up a home office ergonomically. Equal Opportunity We welcome applications from people of all backgrounds and walks of life, including those from groups typically underrepresented in the technology industry. We also encourage applications from disabled and neurodiverse candidates. If there are adjustments we can make to support you throughout the recruitment process, please let us know.

Senior ML / MLOps Engineer A career at Booksy means you're part of a global team focused on helping people around the world feel great about themselves, every day. From empowering entrepreneurs to build successful businesses, to supporting customers in arranging their 'me time' moments, we're in the business of helping people thrive. Working in a fast-moving scale-up where the ML platform is still being built, not inherited, is not for everyone. If you prefer a mature toolchain handed to you on day one, a narrow brief, and limited ownership, this likely isn't your place. But if you want to set the standards, own the path to production, and build something that stays healthy at real scale - you'll feel right at home. As a Senior ML / MLOps Engineer, you'll be a foundational hire in our new Data Science & Applied AI function - working in close partnership with our Data Scientists to take intelligent systems from prototype to production, and keep them performing once they're live. You'll own the productionisation of our machine learning work end to end: real-time serving against SLAs, a standardised CI/CD path to production, GenAI and RAG system deployment, and the monitoring infrastructure that catches drift and quality degradation before business KPIs move. You'll work on a GCP-native stack - Vertex AI, BigQuery, dbt, Airflow, and Terraform - on problems that matter from day one, with the autonomy to shape how the function scales and who joins it next. You'll collaborate closely with Data Scientists, Platform, and Engineering, acting as both a technical owner and an advocate for Data Science needs across the organisation. Essentially, to ensure you succeed in this role you're going to need A track record of putting models into production alongside Data Scientists - classic ML, LLM/GenAI, or both Deep understanding of the ML lifecycle from prototype to production, including real-time serving, feature stores, autoscaling, and blue/green deployments Strong Python and SQL skills Hands-on GCP experience, especially Vertex AI, Kubeflow pipelines, and BigQuery - or strong fluency on an equivalent cloud with a clear ability to get to Vertex fast Solid CI/CD and production-monitoring experience, including model registries, versioning, drift detection, and automated retraining At a minimum we require conversational-level English language skills. English is our company language and is used for business-wide communication. It will also help you to have Experience with LLM evaluation, observability tooling, or RAG systems in production Experience defining MLOps standards across multiple teams Exposure to cost and latency management for GenAI systems Benefits This is a fully remote position across the UK, Spain, and Poland. We take pride in being a globally distributed team. Competitive salary plus bonus. Private health cover, life insurance, pension, and enhanced parental leave - with specifics tailored to your location. A generous holiday allowance plus public holidays. Access to a global learning and development programme, wellbeing support, and discounts across partner platforms. How AI Helps Us Find Great People Think of our AI tool as a really smart assistant for our recruitment team. Its job? To help us move faster, stay consistent, and make sure no great candidates are overlooked. Every application goes through the same AI review to help us spot skills that match the role - but don't worry, AI never makes the decisions. Real people do. Our recruiters and hiring managers handle every final call. And we regularly review how the tool is used to keep things fair, ethical, and compliant with data protection laws. Curious about how it works? You can always ask how AI was used in your application - it won't affect your chances in any way. If you have questions, just drop us a note - we're happy to explain more. Our Diversity and Inclusion Commitment We work in a highly creative and diverse industry so it goes without saying that we strive to create an inclusive environment for all. We welcome people from all backgrounds and are committed to fair consideration in our hiring process. If you have any accessibility needs or require reasonable adjustments during the interview process, please contact us at so we can best support you. Kindly submit your application and CV in English to ensure it is successfully reviewed.