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Meteor Asset Management are building a new digital capability to support and scale their investment and research platforms. We're looking for an experienced Lead Full-Stack Developer to take ownership of technical direction, mentor a growing team, and deliver secure, high-quality software across our digital estate. This is a hands-on leadership role for someone who enjoys shaping architecture, translating business needs into robust technical solutions, and setting high engineering standards in a collaborative environment. The Role As Lead Full-Stack Developer, you will define and guide your team's technical success. You'll be responsible for architectural decisions, development best practices, and the delivery of scalable, maintainable solutions across frontend and backend systems. You'll work closely with stakeholders across the business and play a key role in shaping Meteor's digital future. Key Responsibilities • Lead, mentor, and inspire a team of developers, fostering a culture of technical excellence and continuous improvement, • Design, develop, and maintain high-quality software solutions across the full stack, • Architect and implement systems using .NET, JavaScript, SQL, and modern frontend frameworks, • Oversee API design and integrations, ensuring secure and efficient data exchange, • Translate business and stakeholder requirements into clear technical solutions, • Conduct code reviews and ensure adherence to coding, security, and quality standards, • Drive continuous improvement in development workflows, testing, and deployment practices, • Support the professional development of team members through coaching and knowledge sharing, • Collaborate with third-party developers on larger initiatives and ensure effective knowledge transfer, • Ensure all deliverables meet performance, security, and compliance expectations Reporting Line • Reports to the IT Director of Meteor Asset Management Limited, • Direct accountability to the Research Analyst, • Proven experience as a full-stack developer, ideally with experience in a technical lead role, • Strong proficiency in JavaScript, .NET (C#), and modern frontend frameworks, • Solid experience with SQL databases and API design and integration, • Demonstrated leadership ability with strong communication and organisational skills, • A proactive, problem-solving mindset with the ability to work independently and collaboratively, • Experience working with agile methodologies and modern software development practices, • Experience working in regulated environments or financial services - desirable, • Relevant industry certifications or a degree in Computer Science or a related discipline - desirableKey Technologies, • NestJS (Node.js), • TypeScript, • TypeORM, • Azure SDK, • Git, • Next.js, • React, • TanStack, • Circa £100k basic salary, • Discretionary bonus scheme, • Workplace pension (relief at source), matched up to 5%, • 30 days' holiday per annum including bank holidays, increasing to 35 days after five years, • Optional private medical insurance, • Life assurance and income protection schemes, • Cycle to work scheme (optional), • Funded professional training and education, • Hybrid working with a London-based office. Required to be in the office when needed but this is typically once per week.

💡 Role Overview We’re hiring our first engineer dedicated to internal go-to-market and operations systems. This is a foundational role where you’ll design and build an AI-first internal stack from scratch, enabling Sales, Finance, Ops, and Customer Success to operate at maximum velocity. You’ll have end-to-end ownership across tooling, data, and automation; shaping not just systems, but how the company runs. In this role, you will: • Architect and implement an AI-native internal tech stack, influencing infrastructure decisions and long-term direction, • Rapidly ship internal tools and workflows, iterating directly with teammates who use them daily, • Build and maintain our data warehouse and internal data architecture, • Develop automation systems leveraging LLMs, agents, and modern AI tooling, • Help define engineering standards and culture as we scale 🔥 About You We’re looking for someone who genuinely enjoys building tools that make commercial teams faster and more effective. You likely: • Have led projects independently from idea to production, and are comfortable collaborating with multiple senior stakeholders, • Communicate clearly and can translate ambiguous business needs into structured technical solutions, • Are familiar with commercial and operational tooling such as Notion, Slack, Retool, Amplitude, Stripe (or similar ecosystems), • Sales, Finance, Ops, and Customer Success teams will rely on you to improve efficiency and introduce AI-driven workflows, • Are highly proficient in PostgreSQL and at least one major data platform (e.g., Snowflake, BigQuery, Databricks, Firebolt), • Experience with Node.js and TypeScript is a plus, • Thrive in fast-paced startup environments and feel energized by ambiguity, • Move quickly and constantly look for ways to ship faster Bonus: Experience designing or building AI-powered internal tools or automation systems. 🚀 Why Join Us • Autonomy with mentorship: You’ll be the first London-based engineer with high ownership, while receiving guidance from a senior engineering team in NYC. You’ll travel to NYC for onboarding and project collaboration., • Exceptional traction: 10× revenue growth in 2025, profitable, and trusted by leading firms including MBB, Big 4, and top-tier mega-funds., • Flat structure: Minimal layers between you and leadership. Direct access to the CTO and CEO, with meaningful responsibility from day one.

JOB ROLE : Data Analyst -P&C Insurance LOCATION : London, UK EXPERIENCE : 10 + Years We are seeking an experienced Technical Data Analyst to support the Global Specialty Insurance (GSI) Delegated Authority Data Workstream. This role is responsible for driving business engagement, defining landing data requirements, and shaping data standards that enable a unified future operating model for Delegated Authority data intake requirements and workflow across GSI for existing DA partners and devising requirements for new partner onboarding. Working closely with the Senior Data Architect, the role will facilitate cross-BU collaboration to define Contract, Premium/Risk, and Claims data requirements, establish data quality rules, and support the design of scalable partner onboarding and operating models. This is a cross-functional role operating across four core pillars: • Data Model Definition, • Data Quality Rules, • Partner Data Engagement, • Operating Model Design The role is programme-focused and will play a key part in preparing Business Units for future implementation of the GSI Data Intake Target Operating Model. Key Responsibilities 1. Data Model Requirements & Definition • Facilitate business and SME workshops to gather and refine data requirements across Contract, Premium/Risk, and Claims domains., • Support the Senior Data Architect by translating business requirements into clear data definitions, field-level specifications, and business context., • Perform detailed source-to-target analysis, including transformation logic and data interpretation across MGA, TPA, and internal systems and data governance needs., • Develop and maintain business data dictionaries aligned to canonical GSI landing models., • Conduct gap analysis between existing BU data structures and GSI standard models. 2. Data Quality Rules & Standards • Define business validation rules, data quality standards, and rule hierarchies for GSI Delegated Authority data from MGA / TPAs., • Develop validation playbooks to support consistent data intake across Business Units and external partners., • Collaborate with SMEs and governance forums to agree critical data controls, mandatory fields, and completeness expectations., • Ensure business rules support regulatory, financial, and operational reporting needs. 3. Partner Data Engagement • Support discovery and analysis of MGA and TPA data capabilities, formats, and system constraints., • Develop and maintain partner system capability matrix., • Contribute to the design of partner data onboarding playbooks and interface approaches (real-time API and bordereaux)., • Participate in external partner discussions to clarify data requirements and integration expectations., • Provide analysis support for future partner onboarding execution where required. 4. Operating Model & Governance • Support the design and documentation of the GSI Delegated Authority Data Intake Operating Model., • Facilitate SME Councils, BU discovery sessions, and Data Governance forums., • Drive alignment across Business Units to the GSI landing data standards and intake approach., • Document onboarding workflows, roles, and responsibilities across people, process, data, and technology., • Produce discovery outputs to support BU implementation planning. 5. Programme Analysis & Deliverables The role will produce key programme artefacts, including: • Business data dictionaries, • Validation rule catalogues, • Partner capability assessments, • Onboarding playbooks and process documentation, • BU discovery and implementation inputs KEY SKILLS & EXPERIENCE • 8–10+ years’ experience as a Senior Data Analyst in data-centric or enterprise transformation programmes., • Strong experience working with complex, high-volume transactional data (policy, premium, exposure, claims, financial movements)., • Proven experience performing detailed data analysis, source-to-target mapping, and business data definition., • Provides inputs to data and modelling teams, including support for mapping documents and data flow artefacts., • Acts as a bridge between business and technology teams, with some exposure to data concepts, though deeper technical understanding is developing., • Experience defining data quality rules, validation frameworks, or data governance standards., • Experience engaging directly with external partners, vendors, or third-party data providers., • Strong understanding of delegated authority insurance datasets, bordereaux processes, or equivalent delegated business models (preferred)., • Experience supporting enterprise data model or data standardisation initiatives., • Excellent stakeholder management skills, with the ability to challenge, shape requirements, and drive agreement across senior stakeholders., • Ability to translate complex technical and data concepts into clear business language. Behavioural Competencies • Influence & Alignment – Drives consensus across multiple Business Units and stakeholders with differing priorities., • Strategic Thinking – Understands how detailed data requirements support long-term operating model and regulatory objectives., • Facilitation Leadership – Leads structured workshops and councils to achieve decisions and clarity., • Problem Solving – Diagnoses data gaps, inconsistencies, and operational constraints to propose practical solutions., • Ownership & Accountability – Takes responsibility for delivery of high-quality analysis artefacts and programme outcomes., • Communication – Communicates complex data concepts clearly to both business and technical audiences. Preferred Knowledge • Delegated Authority / Bordereaux environments and formats, • MGA / TPA data integration, • Regulatory environments such as Lloyd’s, Solvency II, or equivalent, • Experience working alongside Data Architects, Data Governance, or Data Engineering teams

Lead Data Architect London (Hybrid, 2 days in the office) £70,000 - £75,000 36 days holiday, 10% employer pension contribution I’m working with a global non-profit organisation, who are looking to hire a Lead Data Architect to lead a major transformation across their data and technology landscape. This is a unique opportunity to step into a high-impact leadership role where you’ll build data & enterprise architecture capability from the ground up, while taking ownership of a complex data environment. You’ll work closely with senior stakeholders and engineering teams to modernise data platforms, improve governance, and drive better use of technology across the organisation. This role is ideal for someone who combines strategic thinking with a hands-on approach. You’ll be expected to deliver quick wins, challenge existing ways of working, and lead meaningful change across both data and application architecture. The Lead Data Architect will be responsible for: • Leading the development and implementation of enterprise architecture strategy and governance, • Taking ownership of a legacy data platform (SQL Server / Azure) and driving modernisation efforts, • Managing and improving a small but highly technical data engineering team, • Establishing best practices across data architecture, integration, and governance, • Identifying and delivering quick wins through automation and improved data processes, • Rationalising a fragmented application landscape, including multiple CRM systems, • Engaging senior stakeholders to align technology with business strategy and priorities This is a great opportunity for someone who enjoys getting into the detail while shaping long-term strategy, with the chance to build and lead a function in a mission-driven organisation making real-world impact.

Lead & Senior Software Engineer | Fintech Accelerator | London | Scale-up Impact The Opportunity Born from the successful launch of a major digital bank, we are hiring a high-growth venture team with a fresh mission. Building products that solve real-world financial problems by putting the customer at the center of every decision. As a Lead & Senior Software Engineer, you will be the technical heartbeat of an Accelerator business. This is a rare chance to operate with the agility of a fintech while leveraging the stability and reach of a global financial leader. You will thrive in a squad-based environment where curiosity is celebrated and ideas are rapidly transformed into products. Your impact will be felt directly by customers as you help shape the future of digital finance. What You’ll Be Doing • Use domain modeling to build best-in-class, scalable business products., • Structure software for maximum readability, testability, and evolution., • Architect resilient solutions that eliminate single points of failure., • Develop secure, high-performance code to protect customers and data., • Lead prompt investigations into system issues to ensure long-term stability., • Oversee seamless, zero-downtime releases for a global user base., • Optimise data architecture for high-efficiency reading and writing., • Evolve the tech stack by integrating modern technologies and patterns. What They’re Looking For Essential • Proficiency in JVM-based languages, specifically Java or Kotlin., • Deep experience with cloud-native architecture and multi-cloud environments., • A pragmatic, iterative approach to solving complex technical challenges., • Strong architectural thinking with a focus on long-term scalability over short-term fixes., • Ability to adapt quickly to changing priorities and navigate "uncharted waters.", • A team-first mindset with a passion for mentoring and knowledge sharing., • High ethical standards and a commitment to building trust-based software. Nice to Have • Previous experience in a fintech or high-growth startup environment., • Contributions to open-source projects or a background in building custom tooling., • Familiarity with cross-functional "tribe and squad" working models. Why Join? • We are a people-first organisation that values collaboration over "hero" culture. You will have the autonomy to move between different product squads based on your interests and strengths, ensuring your work stays challenging and fresh., • Scale a new venture from the ground up with significant backing., • Work in a multi-cloud environment using the best tool for the job., • Continuous learning opportunities and a clear path for technical leadership., • A culture that champions diversity of thought and professional growth.

Please find below detail JD: Job Title: Azure Devops Architect - Terraform Location: London, UK Job type: 6 Months contract with possible extension Active SC Clearance 13 years of IT experience and minimum of 5 years of experience on Azure Infra, Azure Migrate, Azure Networking , mainly Azure SQL IaaS PaaS Azure Storage Azure Key Vault Azure IAM Azure DevOps. Primary skills • Expertise in OnpremPublic cloud Infra assessments using Azure Migrate, • Driving the cloud Solutioning Azure activities for large complex migration, • Ensure that the proposed solution covers Azure strategy stakeholder management as well as the actual solution covering Business Application and Infrastructure as well as commercial aspects in terms of value for money and not commercial costing etc, • Working experience with various industry domains like banking healthcare Insurance, • Understanding customer Infra landscape Design and build Azure Landing Zone activities, • Provide the Azure target architecture and its BoM pricing and licensing related details, • Azure Target Solutions architect Diagram all Azure services including HLD LLD, • Migrating on premise workloads to Azure using Azure Migrate, • Troubleshooting experience with Azure Windows environments Processor networking clusters IO memory etc related issues, • Handson experience with Terraform scripting execution and troubleshooting, • PowerShell scripting execution and troubleshooting, • Knowledge of Azure DevOps example Pipeline invoke etc, • Good knowledge on Puppet, • Design data storage solutions, • Design business continuityDR solutions, • Design identity governance and monitoring solutions, • Work with Internal stakeholders Customer stakeholders and Project Managers to understand the migration requirements and provide solutions accordingly, • AZ305 Designing Microsoft Azure Infrastructure Solutions, • Good customer connects, • Positive attitude and excellent communication skills to manage customer calls, • Prepare solution presentations, • Ability to work well in a team, • Excellent problemsolving skills, • Good communication Mandatory Skills : Azure Infra, Azure Migrate, Azure Networking , mainly Azure SQL IaaS PaaS Azure Storage Azure Key Vault Azure IAM Azure DevOps

Senior Full Stack / Back End Engineer | £90K | 3 Days Per Week (LDN) | UK's Fastest Growing Data Platform | Node.js & TypeScript I am currently working with the fastest go-to data platform for sports fans. A centralised home where trusted and passionate supporters can share their voices, insights, and emotions without being drowned out by pundits or fragmented across social media. Their mission is to amplify the perspectives of those who live and breathe the game, and to create a space where genuine fan sentiment drives the conversation. This is a rare opportunity to join the founding team and play a critical role in shaping the technical foundations, scalability, and long-term success of the platform from day one. The role As a Senior Backend Engineer with strong TypeScript expertise, you’ll be responsible for designing, building, and evolving the backend systems that power their fan-focused platform. You’ll work closely with the founding team to architect reliable, scalable services and APIs, making key technical decisions as we grow from an early-stage product into a mature platform. You’ll take ownership of core backend domains, influence engineering standards, and help ensure the platform is secure, performant, and built to scale. Responsibilities • Designing, developing, and maintaining backend services and APIs using TypeScript., • Taking ownership of backend architecture, data models, and service boundaries., • Making pragmatic decisions on when to leverage existing tools and services versus building custom solutions., • Working closely with frontend and mobile engineers to design clean, well-documented APIs., • Collaborating with product owners to ensure the product vision is accurately reflected in the technical roadmap and backlog., • Considering performance, scalability, and reliability in every sprint., • Ensuring best practices around security, authentication, authorization, and data protection., • Establishing and promoting backend coding standards, tooling, and development practices., • Contributing to technical strategy discussions and helping shape long-term platform architecture., • Proactively identifying technical risks and opportunities for improvement as the product scales. About you • 5+ years of commercial software engineering experience, with a strong focus on backend development., • Strong TypeScript expertise, ideally in a Node.js backend environment., • Experience designing and building APIs (REST and/or GraphQL)., • Solid understanding of backend architecture patterns, data modelling, and distributed systems., • Experience working with databases (SQL and/or NoSQL) and caching layers., • Comfortable owning systems end-to-end: development, testing, deployment, and monitoring., • Strong communicator who enjoys collaborating, sharing ideas, and giving and receiving feedback., • Opinionated but pragmatic, you care about building the right thing, not just the clever thing., • Experience working in early-stage or fast-moving product teams is a big plus., • Passion for sports is welcome but not required, technical excellence comes first. Remuneration & Benefits -> Up to £100,000 + equity + benefits. -> Work closely with a brilliant, mission-led team. If you want to hear more about the Senior Full Stack / Back End Engineer | £900K | 3 Days Per Week (LDN) | UK's Fastest Growing Data Platform please apply ASAP with a CV and we will give you a call if we think you are a match! 😊

Senior Software Engineer (.NET / C#) | Greenfield Systems Rebuild | Remote | £80,000–£100,000 This is a hands-on senior engineering role with real technical authority. You will be the lead engineer and technical decision-maker on a greenfield rebuild of a mission-critical system, working within a small, senior team and reporting directly to the Head of Technology. Once the build is delivered, the role expands into enterprise architecture responsibilities. If you are a strong .NET engineer who has been moving into architecture and wants to own the outcome rather than advise on it, this is worth reading. THE ROLE • Lead the technical delivery of a greenfield rebuild of a core business system, covering policy, claims and integration layers., • Set and enforce technical standards, own code quality, and conduct structured code reviews across the delivery team., • Work directly with the BA to translate business requirements into sound technical design and produce low-level design documentation., • Make architecture decisions, present options clearly to non-technical stakeholders, and govern integration standards across the programme., • Support the Infrastructure and Data Engineers with cross-cutting technical decisions throughout the build., • Post go-live: take on broader enterprise architecture responsibilities including architecture governance, technology strategy and platform evolution planning. WHAT WE'RE LOOKING FOR Must-have • 5+ years in senior software engineering or technical lead roles, with strong hands-on .NET / C# delivery., • Demonstrable experience leading architecture decisions on production-grade systems, not just contributing to them., • REST API design and integration experience at scale, including defining and governing integration standards., • Microsoft SQL Server: schema design, query optimisation, and working knowledge of Always On configuration., • Azure infrastructure: practical experience with Azure VM, SQL on Azure and Availability Groups., • Experience mentoring or managing more junior engineers within a delivery team., • Comfortable producing and presenting design documentation to both technical and non-technical audiences. Nice-to-have • Prior experience in insurance, financial services or another regulated industry., • Familiarity with claims management systems, policy administration platforms or related workflows., • Python for automation, tooling or data engineering support., • Experience stepping into or transitioning from an enterprise architect or solutions architect position., • Active use of AI coding tools and a willingness to embed them into day-to-day engineering practice. WHAT'S ON OFFER • £80,000–£100,000 depending on experience., • Fully remote role with occasional travel to London when needed., • 28 days holiday plus bank holidays., • Private Medical Insurance for you and your family., • Pension with contributions matched up to 6%., • Life assurance., • Direct access to programme leadership, a senior multi-disciplinary team, and a clear path into enterprise architecture post-delivery. APPLY If this looks like the right next move, apply now or reach out directly for a conversation before committing to a full application. We are happy to talk through the detail first.

The Role GenAI Data Engineer Your responsibilities: • Design and maintain scalable data pipelines using PySpark, Python, and distributed computing frameworks to support high‑volume data processing., • Architect and optimize AWS-based data and AI infrastructure, ensuring secure, performant, and cost‑efficient ingestion, transformation, and storage., • Develop, finetune, benchmark, and evaluate GenAI/LLM models, including custom training and inference optimization., • Implement and maintain RAG pipelines, vector databases, and document-processing workflows for enterprise GenAI applications., • Build reusable frameworks for prompt management, evaluation, and GenAI operations., • Collaborate with cross-functional teams to integrate GenAI capabilities into production systems and ensure high-quality data, governance, and operational reliability Your Profile Essential skills/knowledge/experience: • Strong experience with PySpark, distributed data processing, and largescale ETL/ELT pipelines., • Strong SQL expertise including star/snowflake schema design, indexing strategies, writing optimized queries, and implementing CDC, SCD Type 1/2/3 patterns for reliable data warehousing., • Advanced proficiency in Python for data engineering, automation, and ML/GenAI integration., • Hands‑on expertise with AWS services (S3, Glue, Lambda, EMR, Bedrock / custom model hosting)., • Practical experience with GenAI/LLM model creation, finetuning, benchmarking, and evaluation., • Solid understanding of RAG architectures, embeddings, vector stores, and LLM evaluation methods., • Experience working with structured and unstructured datasets (documents, logs, text, images)., • Familiarity with scalable data storage solutions (Delta Lake, Parquet, Redshift, DynamoDB)., • Understanding model optimization techniques (quantization, distillation, inference optimization)., • Pyspark, Python, SQL,AWS, GenAI

🚨 NEW JOB ALERT 🚨 – Lead Java Contractor 💻 Java / Distributed Systems / Event-Driven Architecture – Trading & Portfolio Tech 🕑 10+ years building high-performance, data-intensive trading systems 📍London (front-office, high-impact engineering environment) 💰 Highly competitive day rate Highlights: 🔷 Lead the design and build of scalable trading & portfolio management systems for the Credit desk 🔷 Work directly with portfolio managers and traders to deliver real-time, business-critical technology 🔷 Architect event-driven, distributed systems with strong focus on performance, resilience, and observability 🔷 Drive technical direction across microservices, data streaming, and system design in a fast-moving environment The Role: Join a high-calibre Investment Engineering team embedded on the trading floor, delivering core infrastructure that underpins complex credit investment strategies. This is a hands-on leadership role combining deep backend engineering with architectural ownership and close collaboration with senior investment stakeholders. What You’ll Be Doing: 🔹 Own the full development lifecycle – from architecture and design through to production delivery 🔹 Build and scale Java-based systems supporting trading, analytics, and execution workflows 🔹 Design high-throughput, event-driven platforms using modern streaming technologies 🔹 Partner with traders and PMs to translate complex investment processes into robust systems 🔹 Lead best practices across performance optimisation, system reliability, and maintainability What We’re Looking For: ✔️ Strong Java engineering background with experience in trading or market-facing systems ✔️ Deep understanding of distributed systems, microservices, and data streaming using Aeron ✔️ Proven experience building production-grade, fault-tolerant systems in high-performance environments ✔️ Expertise in event-driven architecture and handling real-time data pipelines ✔️ Ability to influence architecture, mentor engineers, and operate at a senior technical level

Platform Engineer | London | Up to £120,000 I’m working with a fast-scaling AI company who just raised 75M in the Series A and already working with some of the most recognisable organisations in the world. They’re building an AI-native workspace that’s changing how enterprises operate, with live deployments already proving real impact. They’re now looking for a experienced Platform Engineer to join their London team. This is a chance to work directly with a proven founding team (multiple successful exits) and play a key role in building production-ready AI systems used globally. The Role The company is growing quickly, and the infrastructure needs to grow with it. They are looking for a Platform Engineer who has done this before , someone who can architect cloud systems from the ground up, keep them secure and audit-ready, and give the engineering team the tooling they need to ship fast and ship confidently. If you love owning things end-to-end, this one's for you. What You'll Own • Design, build, and evolve our cloud infrastructure to keep pace with rapid product growth, • Lead SOC 2 / ISO 27001 audit preparation, turning compliance into a competitive advantage, • Build and maintain robust CI/CD pipelines across backend, frontend, and data services, • Establish company-wide observability — logging, metrics, tracing, alerting, and on-call culture, • Take ownership of cloud cost management, optimising spend without compromising performance, • Champion operational excellence across the engineering org What You'll Bring Technical • Cloud & IaC: Azure (AWS a bonus), Terraform, AKS / Kubernetes, Docker, GitHub Actions, • Observability: Hands-on experience with logging, metrics, and distributed tracing frameworks, • Security: Secrets management, security scanning, and infrastructure hardening best practices, • Networking: VPCs, DNS, load balancers, VPNs, firewalls — you know your way around, • Data: Provisioning and scaling production-grade PostgreSQL, MySQL, NoSQL, and blob storage, • Scripting: Strong Python or Bash for automation and internal tooling What’s On Offer • Competitive salary + meaningful equity, • Work directly with a world-class founding team, • Opportunity to shape the platform as they expand globally, • High-energy, ambitious, and collaborative culture This won’t be easy, priorities shift, timelines are ambitious, and expectations are high. But if you’re looking to be part of something career-defining and at the forefront of applied AI, this could be the right move. If this sounds interesting please get in touch, as they are very active in the hiring process! Thanks Keanu

Full Stack Software Engineer - TypeScript / React | Start Up | Industrial Automation We are looking for highly motivated Full Stack Software Engineers to join a fast-growing industrial tech startup focused on reinventing manufacturing. You will play a central role in building and scaling their proprietary platform, transforming factory operations in aerospace, energy, and other critical industries. The company is focused on speeding up manufacturing for the scale-up companies shaping the future, from rockets and drones to satellites and nuclear energy. Currently running four small-to-medium software-driven factories across the UK and US, they are on track to expand to 25 factories by the end of 2026. This is a hands-on, high-autonomy role for a generalist developer who thrives on real-world impact and has a strong sense of ownership. Experience as a founder, founding engineer, or working in aerospace and defence is highly desired. What you’ll do: • Architect, design, and develop critical systems for factory automation, real-time data processing, and user experience., • Own full-stack development across infrastructure, backend services, machine learning, UX, and real-time monitoring., • Work directly with leadership to identify bottlenecks and build software solutions that improve factory operations., • Deploy and iterate software rapidly on-site, integrating directly with production processes., • Lead projects from conception to deployment, ensuring fault-tolerant systems in demanding environments., • Optimize machine tool utilization and manage orchestration across multiple production facilities. What they're looking for • 2–6 years of full-stack software development experience, exceptions made for exceptional talent., • Strong programming skills, ideally in TypeScript and React, with experience in Postgres, AWS, Terraform, and DevOps., • Ability to work independently in a high-autonomy environment., • Experience translating operational challenges into impactful software solutions., • Bonus: prior experience in startups, aerospace, defense, or as a founding engineer. What they offer • Full-time, on-site role in London (five days per week)., • Competitive base salary plus equity (typically ~0.5% for engineers with a few years’ experience, potentially >1% for exceptional candidates), • Opportunity to work on software that directly accelerates industrial operations in high-stakes environments., • Visa sponsorship available for eligible candidates. This is an opportunity to shape the software backbone of a company bringing manufacturing into the future, working closely with a small, experienced team with backgrounds in military, government, enterprise, and exited tech ventures. Interested? Apply directly through LinkedIn, or send your CV to By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (___)

Location: London - Hybrid (2 days per week (London Bridge Area)) Salary: £90000 - £100,000 Reporting into: Platform Lead WeDo have partnered with a data-driven market research company very much in growth mode (circa 50% YoY Growth). Having successfully onboarded several new hires over the past 6 months, one being a Lead Platform Engineer, there is now a need for a Senior Engineer to assist with ongoing Platform Architecture/Development. Day-to-day responsibilities will include: • Lead, design and implement Azure based solutions, • Provide direction around/and implement necessary tooling, • Advocate DevSecOps principles, • Architect cloud-native systems - microservices-led/serverless etc. What we’re looking for: • Significant Azure experience, • IaC - Currently ARM/Bicep but open to Terraform, • CI/CD Pipeline design - Azure Devops, • DevSecOps experience, • C#/.Net, • Stakeholder Management experience and the ability to operate as an IC., • AI-Led Coding/Development Three stage interview process. 1st stage is a discovery call, 2nd is a Solution Design whiteboard exercise and 3rd stage, a meet and greet call with wider team. If the above is you... apply now and I will follow up accordingly.

The Challenge Cardiometabolic conditions will impact 80-90% of people throughout their lifetimes, representing the leading cause of death globally and an important risk factor for neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models that translate clinical outcomes into economic value. The Opportunity This is an opportunity to build the ML and AI foundations of Onsera Health's breakthrough healthcare platform. Backed by Population Health Partners (PHP)—the proven venture platform behind Metsera and Corsera Health—we're building the future of population health management. As a Senior Machine Learning Engineer, you will sit at the intersection of data science, platform engineering, and production systems. Your mission is to design and operate the foundations that allow ML, analytics, and agentic AI systems to move safely and reliably from experimentation into regulated healthcare production environments on Google Cloud Platform. You will be the primary interface between Data Science and Platform Engineering, enabling rapid iteration while enforcing production and compliance standards. Responsibilities • Design and implement Onsera's agentic AI platform – architect LLM/agent framework selection, standardized patterns for tools, memory, guardrails, evaluation, and observability, • Define MLOps protocols for agentic systems – environment separation, versioning of prompts, tools, and policies, cost controls, rate-limiting, and fail-safe mechanisms, • Bridge data science and platform engineering – translate experimentation needs into GCP infrastructure, scalable compute patterns, and reproducible development environments, • Productionize data science code – convert research-grade notebooks into tested, modular, production-grade Python services, batch and streaming pipelines, and scheduled workflows, • Build production-grade data pipelines – develop idempotent, observable, and cost-efficient pipelines using BigQuery, Airflow, Google Workflows, and Cloud Run, • Implement CI/CD for ML workloads – automated validation, monitoring, rollback strategies, and model lifecycle management, • Mission-driven work addressing critical public health and healthcare economics challenges, • Ground-floor opportunity to build the ML/AI infrastructure for a breakthrough healthcare platform, • Partnership with a world-class team of industry leaders, innovators, technologists, bioscientists, and clinicians from PHP and beyond, • A fast-paced, dynamic, and highly collaborative work environment, • Competitive salary and benefits package, including participation in our equity program Minimum Qualifications • 5+ years of experience in machine learning engineering, data engineering, or a related field, • Strong Python engineering skills with production-quality, typed, and tested code, • Track record productionizing ML models in batch and/or real-time environments, • Hands-on experience with analytical data warehouses (BigQuery or equivalent) and workflow orchestration (Airflow or similar), • Experience deploying ML systems on GCP, including Cloud Run, GCS, and IAM, • Infrastructure-as-Code experience (Terraform or equivalent), • Experience with feature engineering, model lifecycle management, and ML evaluation, • Experience with LLMs, agent frameworks, or AI orchestration systems in production, • Familiarity with prompt management, tool calling, evaluation, and AI safety patterns, • Healthcare or regulated-industry experience, including familiarity with HIPAA or SOC-2 compliance, • Experience with claims data, EHR-derived datasets, or real-world evidence We are an early-stage health AI company revolutionizing cardiometabolic care and population health economics connected to weight loss. Our unique position within the PHP ecosystem provides: • Venture track record: A proven track record of success in building biotech and healthcare companies, • Deep capital: Funding and resourcing to support deep tech and scientific R&D—and to drive growth, • Strategic guidance: Direct access to industry pioneers (including founders of The Medicines Company and Metsera), healthcare experts (including leaders in virtual care, former FDA commissioners), strategists (McKinsey/QuantumBlack alumni), and world-class scientific talent, • Expert network: Established connections across pharma, payers, and providers Population Health Partners (PHP) is a premier investment firm established in 2020, aimed at transforming health outcomes for large populations. With offices in New York and London, PHP combines financial resources with industry-leading capabilities and technology. The firm's incubation portfolio includes Metsera and Corsera Health. Leadership: Led by industry veterans including Clive Meanwell (The Medicines Company), Chris Cox (The Medicines Company), and Whit Bernard (Metsera), bringing decades of founder experience and operational excellence in biopharma and healthcare, and Roy Berggren, 30+ year McKinsey Healthcare leader.

I’m partnering with an ambitious industrial technology startup who is developing a network of distributed, software-defined factories designed to help hardware companies iterate faster and scale production efficiently. They are now hiring a Full Stack Software Engineer to help build and scale their proprietary factory operating system. Key Responsibilities: • Architect, design, and develop critical systems supporting factory automation, real-time data processing, and operational workflows., • Own full-stack development across infrastructure, backend services, frontend interfaces, and monitoring tools., • Work closely with leadership and factory-floor teams to identify operational bottlenecks and translate them into impactful software solutions. Key Qualifications: • 1–5 years of professional software engineering experience (exceptions made for exceptional candidates)., • Experience working as a founder, founding engineer, or early employee at a fast-paced startup, or engineering experience at a top-tier VC-backed technology company., • Background in aerospace, defense, or other high-performance engineering organizations is advantageous., • Experience building frontend-heavy SaaS applications with strong attention to UX., • Familiarity with TypeScript, React, Postgres, and AWS., • Strong generalist mindset with the ability to work across the stack and operate independently in high-autonomy environments.

🔥 Who We Are At ___, we relentlessly drive innovation in AI, building the world's leading ___. We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join ___ and help ___. 🌎 Location and Legalities This full-time Solutions Engineer position is based onsite in our brand-new ___ in London, UK, with a hybrid model of 3 days in-office and 2 days remote. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship. 🚀 What You'll Do As a Solutions Engineer at Ultralytics, you will be the technical face of our organization, working directly with clients to architect and deploy computer vision solutions using the ___. Key responsibilities include: • Collaborating with clients to understand their use cases and challenges, architecting end-to-end solutions using ___., • Delivering high-quality technical demos, onboarding sessions, proof-of-concepts, and workshops that demonstrate the power of ___., • Designing annotation strategies and ___ tailored to client data, goals, and deployment constraints., • Debugging client issues and delivering effective solutions with deep understanding of ___, Python, ___, and model behavior., • Supporting pre-sales efforts by participating in technical discovery calls and helping shape proposals and SLAs., • Serving as a key technical advisor during customer engagements, ensuring successful integration and continued satisfaction., • Interfacing with Sales, Marketing, Engineering, and Product teams to advocate for customer needs and influence roadmap priorities., • Acting as a strategic technical advisor to clients, shaping computer vision solutions that drive tangible business outcomes., • Representing Ultralytics at conferences, webinars, and customer events while contributing to technical blog posts and educational materials. Your strategic vision and technical expertise will be essential in supporting ___ of delivering top-tier machine learning tools and models like ___ to the community. 🛠️ Skills and Experience • 5+ years of experience in Computer Vision, Machine Learning, or applied AI roles., • Excellent client-facing skills: patient, resilient, and able to communicate clearly with technical and non-technical stakeholders., • Proficiency in Python and familiarity with the ___., • Hands-on experience with ___, ___, and classical ML/CV concepts., • Strong understanding of end-to-end ___, including data collection, preparation, ___, ___, and ___., • Experience with ___ and comfort working across Linux, macOS, and Windows environments., • Demonstrated ability to teach or mentor teams and developers through courses, bootcamps, workshops, or community engagement., • Comfort leading workshops, writing technical guides, or presenting to developer audiences. 🌟 Cultural Fit - Intensity Required Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our ___. Our ___ thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI. 💶 Compensation and Benefits • Competitive Salary: Highly competitive based on experience., • Startup Equity: Participate directly in Ultralytics growth and success., • Hybrid Flexibility: 3 days per week in our brand-new office - 2 days remote., • Generous Time Off: 24 days vacation, your birthday off, plus local holidays., • Flexible Hours: Tailor your working hours to suit your productivity., • Tech: Engage with cutting-edge ___ and our ___., • Gear: Brand-new Apple MacBook and Apple Display provided., • Team: Become part of a supportive and passionate ___. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, ___ offers an exceptional career opportunity.

The moment Consulting is being agentified. The $300B insights industry is about to be rebuilt by AI agents that don't just report what happened — they tell brands what to do next and execute it. Most firms are still figuring out how to use ChatGPT for email. We've already built the agents. Hotspex has spent 25 years measuring what the world's biggest brands make people feel — over 1M interviews, 800+ brands, 33 countries, validated at P&G, Coca-Cola, Unilever, RBC, TELUS. Now we're weaponizing that dataset with AI. Every methodology we've built is becoming an autonomous agent. Every deliverable is becoming a living product. Every client interaction is becoming an intelligent system. This is the Agentification of Consulting — and we're riding the front of the wave. We need a Full Stack Engineer in Toronto who wants to build what comes next. What you'll build You won't be maintaining someone else's codebase. You'll ship enterprise-grade AI products to Fortune 100 CMOs — and you'll see your work in boardrooms within weeks, not quarters. → Agent-powered brand intelligence platforms — autonomous systems that ingest research data, generate strategic recommendations, and deliver them directly to the world's largest advertisers → Top of Model™ — our proprietary platform measuring how brands rank inside ChatGPT, Claude, Gemini, and Perplexity. We're defining an entirely new category of brand measurement for the AI era → BrandSpace — a self-serve SaaS platform putting 25 years of enterprise-grade emotional brand science into the hands of every marketer → MCP server integrations and agentic tool chains — exposing our Human Motivation Framework as API-accessible AI tools that plug into Claude, Adobe, and enterprise martech stacks → Client-facing interactive products — brand simulators, revenue growth models, and AI-powered proposal systems that win seven-figure engagements Who you are You're a builder, not a ticket-taker. You can go from a rough CEO brief on Monday to a shipped product by Friday. Specifically: • Full-stack fluency — React, Node, Python, modern deployment (Vercel/Netlify, Supabase, serverless). You own the whole surface from UI to infrastructure, • AI-native — you've built with Anthropic and OpenAI APIs, you understand tool use, embeddings, MCP, and agentic workflows. You don't just prompt — you architect systems around LLMs, • Claude Code proficiency is essential — we build with it daily and we'll want to see examples of what you've shipped with it, • Genuinely interested in marketing and brand strategy — you want to understand why a campaign moves a brand, not just render the dashboard. The best code at Hotspex is written by people who understand the business problem, • Product-minded — you think in user outcomes, not tickets. You push back on bad specs and propose better solutions, • High ownership, low ego — direct access to the CEO, the IP, and the clients means you'll have outsized impact and outsized accountability Why this role is rare 💰 Stock options — you'll have equity upside in a company that's been profitable for 25 years and is now scaling its AI product suite into a category-defining SaaS business 🏢 Toronto-based, on-site — we believe the best products get built by people in the same room solving hard problems together. Being in Toronto is key — this is a hands-on, high-trust, high-speed environment 🚀 Fortune 100 clients from day one — your code ships to RBC, global CPG, major broadcasters, and government. Not a pre-revenue pitch deck 🤖 AI isn't a feature — it's the entire product thesis — every tool, methodology, and deliverable at Hotspex is being agentified. You'll be at the centre of that transformation 📐 25 years of proprietary IP — you're not starting from zero. You're building on top of the Human Motivation Framework — 177 personality attributes, 96 emotions, 8 motivational zones — a dataset most AI startups would kill for 🎯 No four-layer product org — you'll work directly with the CEO, strategists, and clients. Your decisions ship Qualifications • Proficient in front-end development: HTML, CSS, and modern JavaScript frameworks (React preferred), • Skilled in back-end development: server-side languages, database management, API design, • Proven full-stack delivery — end-to-end ownership from architecture to deployment, • Strong experience with Claude Code — show us what you've built with it, • Familiarity with cloud platforms, DevOps tooling, and CI/CD pipelines, • Experience with agile workflows and Git-based version control, • Excellent problem-solving instincts with a bias toward performance and scalability, • Strong communication skills — you'll present to clients, not just commit to repos, • Bachelor's degree in Computer Science, Software Engineering, or related field preferred — but shipped work matters more than credentials How to apply Send a short note and your best work to — GitHub repos, shipped products, side projects, agent builds. If you've built something AI-powered that actually works in production, lead with that. We're 25 years old and moving faster than any startup. Come build the next chapter. • hotspex.com

Title: Salesforce Technical Architect Location: London | Hybrid (2-3 days per week onsite) Contract: 6 months (possibility to extend) Rate: Up to £440 PAYE per day Our client is seeking a hands on Salesforce Technical Architect to provide architectural leadership across a Salesforce platform serving internal and external users in a regulated environment. Responsibilites: • Define end to end Salesforce solution architecture aligned to business needs, platform strategy, and regulatory constraints., • Own architecture artefacts including: High level and low level design documents, Data model designs, Integration and security models, • Present architecture proposals and design decisions to technical and governance forums., • Design and build Proofs of Concept personally to validate architectural patterns, technical feasibility, and non functional requirements., • Use outcomes from successful POCs to directly inform architecture documentation and design recommendations., • Assess platform constraints, risks, and trade offs through hands on experimentation., • Ensure architecture aligns with FCA governance, security, and compliance expectations., • Define and enforce architectural guardrails, patterns, and standards for Salesforce development teams., • Review significant technical designs and data model changes for architectural alignment and downstream impact., • Work closely with Product Owners, Technical Leads, and delivery teams to ensure architecture is practical and deliverable., • Support teams during complex delivery phases, releases, or remediation activities., • Provide architectural guidance while remaining pragmatic and delivery focused. Skills & Experience • Strong Salesforce technical architecture capability in enterprise scale orgs., • Extensive hands on experience designing and building solutions using: Apex, Lightning Web Components, Salesforce configuration and data model design, • Strong architectural knowledge of: Salesforce platform architecture, Service Cloud and Experience Cloud, Security, identity, and access controls, Data model remediation and refactoring, • Proven ability to produce clear, governance ready architecture documentation., • Strong communication skills, able to explain complex technical concepts to senior and non technical stakeholders., • Experience working within regulated or audit heavy environments., • Salesforce Certified Technical Architect (CTA) or progress toward CTA. (Advantageous), • Experience supporting large scale Salesforce transformations or remediation programmes. (Advantageous), • Experience in financial services or public sector environments. (Advantageous) Certifications • Salesforce Administrator, • Platform App Builder, • Platform Developer I, • Platform Developer II (Advantageous), • Integration Architecture Designer (Advantageous), • Data Architecture & Management Designer (Advantageous), • Sharing & Visibility Designer (Advantageous)

Role: Backend Developer (Core Java) We are seeking an experienced Backend Developer with strong expertise in Core Java to build scalable, high-performance APIs and work effectively within large, complex codebases. The ideal candidate will have a solid foundation in system architecture and will collaborate closely with DevOps and the Head of Engineering in a small, agile team. This role plays a critical part in developing and enhancing a microservices-based platform that supports risk management and backend operations for both corporate and retail trading. You will also contribute to shaping the technical roadmap and improving the Software Development Life Cycle (SDLC). Key Responsibilities: • Design, develop, and maintain high-performance backend services for complex data processing systems, • Architect scalable solutions for high-volume calculations and data pipelines, • Optimize database schemas, write efficient SQL queries, and improve database performance, • Collaborate directly with business stakeholders to define and deliver new features, • Ensure performance, reliability, and quality across all backend services, • Identify and resolve performance bottlenecks, defects, and system issues, • Adhere to best practices in engineering, including design patterns and architectural principles, • Develop and maintain unit and integration testing frameworks, • Contribute to the technical roadmap and continuously improve SDLC processes, • Support additional ad hoc technical tasks as required Technical Skills: • 5+ years of experience in software engineering with strong Core Java expertise, • At least 2 years of experience working with SQL databases, • Strong experience in API development and automation, • Familiarity with cloud platforms such as AWS, Azure, or GCP, • Experience working in Agile environments, • Hands-on experience with CI/CD pipelines and version control systems, • Experience with Python is a plus Qualifications & Experience: • Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, Electrical Engineering, or a related field (must have), • Experience in a regulated industry, preferably within banking or financial services, • Proactive mindset with a strong sense of ownership and a focus on continuous improvement

We're representing at role at a global enterprise at the forefront of AI-driven transformation, building scalable, production-grade intelligent systems that power real-world business outcomes. The teams operate at the intersection of cutting-edge research and robust engineering, delivering AI solutions across industries at scale. The Role We are seeking a Senior AI Engineer to design, build, and deploy advanced AI systems with a focus on large language models (LLMs), voice AI, and distributed infrastructure. You will play a key role in architecting enterprise-grade AI platforms, working closely with product, data, and engineering teams to deliver high-impact solutions. Key Responsibilities • Design and implement LLM-powered applications using modern orchestration frameworks, • Build scalable pipelines for training, fine-tuning, and deploying AI models, • Develop and optimize retrieval-augmented generation (RAG) systems, • Architect and manage vector search infrastructure for high-performance semantic retrieval, • Integrate voice AI capabilities into applications and services, • Deploy and manage model serving infrastructure in production environments, • Collaborate across teams to translate business needs into AI-driven solutions, • Ensure observability, monitoring, and continuous improvement of AI systems Required Skills & Experience Strong experience with Python and/or Node.js in production environments Hands-on expertise with LLM frameworks: Proven experience with vector databases: Nice to have • Experience with multi-agent systems and autonomous workflows, • Familiarity with enterprise data architectures and security practices, • Background in MLOps and CI/CD for AI systems, • Experience working in large-scale enterprise environments What's on offer • Opportunity to work on cutting-edge AI systems at enterprise scale, • Competitive salary and performance-based incentives, • Flexible working arrangements, • Access to leading AI tools, infrastructure, and research, • Collaborative, high-performing engineering culture

Ad Tech Solutions Architect - TV Advertising/CTV AdTech SaaS £65000 - £75000 per annum + bonus + bens London Hybrid working (2 days London PW) Permanent The AdTech Solution Architect Role is working for a fast-growing AdTech SaaS business focused on the TV and CTV industry. Due to accelerated global growth and a greater volume of TV client deployments across Europe our client is seeking an experienced and driven Solution Architect with previous relevant Ad Tech experience gained within the TV/CTV sector. Joining a small team of Solution architects you will help specific client delivery customizations, enabling broadcasters, Cable Operators and TV media owners with integrated Advertising solutions. This role is based in London HQ office with flexible hybrid working. Experience required • Previous solutions architect, pre-sales solution architect or technical consultant with relevant experience gained within TV AD Tech Industry, • 5+ years in the Ad Tech, SaaS, Big data, TV Media industry is a requirement., • Deep technical understanding of the technical architecture of complex and highly scalable software and/or cloud-based products., • Awareness and understanding of commonly used technologies for data storage/analytics., • Entrepreneurial drive to get things done and deliver in the best way, • Thrive in a fast paced, demanding environment., • Be able to understand and analyze complex raw datasets and work in tandem with, • engineering and product teams., • Ability to drive both strategic decisions and operational tasks, • Performance driven mindset with a strong motivation to lead professionally, • Ability to work and communicate in a fast paced international environment, • Masters or Bachelor degree, preferably in STEM, computer science or related fields. Role Responsibilities • Act as a bridge between client facing and technical teams, ensuring transparent communication across all aspects of technical delivery., • Author detailed specifications translating the business needs of TV clients into technical requirements to be actioned by operational engineering teams., • Act as a key interface for technical communication for clients, liaising with client technical teams where necessary to ensure smooth project delivery., • Support sales processes in technical pre-sales actions including data assessments and providing technical input in early stage project scoping., • Develop a deep technical understanding of the product stack, and how it can be leveraged against a TV Media owner’s data to fulfil their business objectives What we offer Competitive Salary and benefits flexibility and agility, Our global teams provide a fantastic collaborative atmosphere, and we support each other with a great learning environment for personal development at every level. About the client Join smart, passionate and creative people that help transform the world of TV by enabling broadcasters, Cable Operators and TV media owners with leading TV Advertising solutions. Solutions that empower TV media companies to execute effective TV strategies by enabling advanced campaign delivery, maximizing yield, and boosting operational efficiency through workflow data enrichment and automation. At the core product spans linear and digital inventory and enables data unification, holistic audience forecasting, planning, in-flight optimization, and unified reporting capabilities that integrates seamlessly with a client’s existing tech stack – including linear trafficking systems, digital ad servers, and other data-driven tools – creating a connected, smarter and more efficient ecosystem built for the future of TV. Together with our diverse global team with offices across London, Zagreb and New York, we’re passionate and driven by our ambitious growth and opportunity - moving into new markets and delivering innovative SaaS technology to our clients.

We’re hiring a Founding Engineer to help us reimagine the future of hospitality. This is a high-impact, architect-level role where you will be the first engineering hire and design and build the core technical foundation of a new platform from the ground up. Expect a fast-moving environment, high ownership, and a lot of autonomy across architecture, infrastructure, integrations, and backend systems. ABOUT THE ROLE Your Impact • Architect and implement core systems: cloud infrastructure, backend services, APIs, and data pipelines, • Build secure, scalable, and reliable components ready for real-world operational environments, • Lead integrations with external systems and support early data onboarding, • Establish engineering standards, tooling, documentation, and technical processes from the start, • Set up observability, monitoring, and performance systems, • Jump in wherever needed, from quick scripts and data cleaning to debugging production issues What You Bring • 5+ years of engineering experience with strong architecture / complex backend systems experience, • Deep hands-on experience with AWS/Azure/GCP, distributed systems, and backend / full-stack development, • Strong foundation in system design, APIs, secure infrastructure, and data flows, • Proven ability to build products or platforms from 0 → 1, • Clear communication, strong judgment, and the ability to explain technical decisions, • Collaborative working style, high ownership, and the ability to execute independently in a fast-moving environment Skillset We Value • Proficiency in Python, Typescript, or similar modern languages, • Experience with backend frameworks (FastAPI, Django, Node.js, Rails, etc.), • Strong SQL, data modeling, and database design knowledge, • Familiarity with IaC, containers, CI/CD, and observability tools, • Bonus: experience in ETL, or hospitality / Proptech / real-estate technology Why Join Us • We work together in the heart of London (4 days a week on-site), • Competitive compensation and meaningful ownership, • Private health insurance, 25 days holiday and enhanced family leave, • Visa sponsorship is provided to suitable candidates If this mission resonates with you, we’d love to hear from you — even if you don’t meet every requirement. Assessment Process • Recruiter Screening, • Take Home Technical Task, • Hiring Manager Interview, • Advanced Technical Interview, • Final Interview with Founder/CEO of Omnam OMNAM is a global real estate investment and development group known for creating large-scale, high-design hospitality and mixed-use projects. This role is separate and part of OMNAM Innovation Arm, giving you a unique blend of startup-style ownership with the stability, access, and ecosystem of an established international group.

If you need support in completing the application or if you require a different format of this document, please get in touch with at or call TCS London Office number 02031552100 / +44 204 520 2575 with the subject line: “Application Support Request”. Role: AI Architect Job Type: Permanent Location: London/ Coventry. Are you passionate about driving innovation and best practices in Artificial Intelligence? We have an exciting opportunity for you – AI Architect! Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership. • Drive data integrity, governance, and responsible AI adoption., • Work with cutting‑edge digital and AI platforms., • Enable automation, intelligence, and smarter decision‑making at enterprise scale. The Role As an AI Architect (Enterprise & Agentic Systems), you will define the AI architectural vision and shape the enterprise AI strategy and roadmap, ensuring AI solutions are scalable, secure, well‑governed, and aligned with business outcomes. You will translate business opportunities into pragmatic AI architectures across data, models, platforms, and integrations, enabling reliable delivery at enterprise scale. You will work within a supportive, inclusive, and collaborative community across data, engineering, security, and product teams. You will guide delivery teams on AI patterns and best practices, including MLOps, LLMOps, evaluation, monitoring, and responsible AI. You will influence stakeholders through evidence‑based architectural recommendations and help deliver AI capabilities that can be operated safely over time. Key responsibilities: • Architect and govern multi-agent and agent-swarm systems at enterprise scale., • Define agent safety, governance, observability, and testing standards., • Establish AI guardrails, frameworks, governance models, and safety controls., • Design human-in-the-loop optimisation to balance autonomy, reliability, and performance., • Own patterns for agent reliability, performance tuning, and failure handling., • Build and sustain an AI-first engineering culture across full-stack, platform, and SRE teams., • Act as the final decision-maker for complex system design and enterprise-level architecture decisions., • Mentor architects and senior engineers on AI-native and agent-based design principles., • Design and govern enterprise-scale distributed systems with embedded AI capabilities., • Architect and evolve agent orchestration platforms., • Own observability, reliability, security, scalability, performance, and cost management (FinOps)., • Ensure platforms are production-ready, secure, auditable, and compliant., • Partner with CTOs and senior leadership on AI architecture strategy and roadmaps., • Define long-term enterprise AI architecture blueprints., • Own agent lifecycle planning and roadmaps from pilots to scale and retirement., • Drive transformation from traditional SDLC to AI-native and agent-augmented development., • Define patterns for spec-driven development, AI-assisted architecture extraction, drift detection, and AI-driven testing., • Ensure AI is embedded across the entire software engineering lifecycle., • Integrate SRE, SLOs, DevSecOps, Software Engineering, and Observability into a unified AI platform model., • Define reliability targets, operational metrics, and incident-management practices., • Ensure operational excellence and continuous compliance., • Own end-to-end AI lifecycle including model and agent selection, deployment, monitoring, governance, versioning, upgrades, and decommissioning., • Establish standards for MLOps, AgentOps, and AI governance., • Act as a business and portfolio SME for AI architecture., • Baseline organisational AI skills, capabilities, and maturity, and define uplift roadmaps., • Translate AI architecture into clear business value narratives., • Support RFPs, solution design, and executive workshops. Your Profile Essential skills/knowledge/experience: • Proven experience in enterprise architecture, platform engineering, or solution architecture within complex, large‑scale environments., • Demonstrated track record designing and operating enterprise‑grade distributed systems., • Strong exposure to AI and GenAI platforms, including agent‑based and agentic architectures., • Practical experience applying AI and intelligent automation safely at enterprise scale., • Deep understanding of DevSecOps and SRE practices, including reliability engineering and observability., • Proven experience partnering with CTOs, CIOs, and senior business leaders to shape strategy and drive delivery., • Comfort operating in ambiguous, fast‑moving environments, bringing clarity and structure to complex challenges., • A strong commitment to continuous learning and emerging technologies, fostering a culture of innovation and rigour. Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network. We offer health & wellness initiatives and sports events; we are the proud sponsor of the London Marathon. Diversity, Inclusion and Wellbeing Tata Consultancy Services UK&I is committed to meeting the accessibility needs of all individuals in accordance with the UK Equality Act 2010 and the UK Human Rights Act 1998. We welcome and embrace diversity in race, nationality, ethnicity, disability, neurodiversity, gender identity, age, physical ability, gender reassignment, sexual orientation. We are a disability inclusive employer and encourage disabled people to apply for this role. As a Disability Confident Employer, we offer an interview to applicants with disabilities or long-term conditions who meet the minimum criteria for the role. Please email us at if you would like to opt in. If you are an applicant who needs any adjustments to the application process or interview, please contact us at with the subject line: “Adjustment Request” or call TCS London Office 02031552100 / +44 204 520 2575 to request an adjustment. We welcome requests prior to you completing the application and at any stage of the recruitment process. Next Steps: Application Process • Skill-Based discussion: This will be a level 1 interview with the project team, it can be via video or in-person. Details will be confirmed by your recruiter., • Managerial discussion: This discussion will focus on behavioural aspects and person-organisation fit., • HR Discussion: This will be with one of the members of the HR team and will cover your career journey, aspirations for growth, compensation and any other questions you may have. Beware of Fraudulent offers This is to notify you that TCS does not ask for any sort of payment or security deposit from candidates at any stage of the recruitment process. The firm never sends out job offers from free internet email services like Gmail, Yahoo Mail, and so on. TCS has not authorised any third-party company to collect money on their behalf. As a vigilant job seeker, beware of fraudulent recruitment activity and protect your interests! You can write to to report any fraudulent activity. Due to the high volume of applications, we will be unable to contact each applicant individually on the status of their application. If you have not received a direct response within 30 days, then it should be deemed unsuccessful on this occasion. Join us and do more of what matters. Apply online now.

A Salesforce Solution Architect is required to support a large‑scale CRM transformation programme for an exciting professional services client. This is an opportunity to take a complex, legacy‑integrated estate and evolve it into a well‑governed, scalable target architecture. The role will focus on end‑to‑end solution design across Salesforce and connected platforms, supporting delivery teams through build, release and migration, while ensuring architectural coherence, data integrity and operational resilience ahead of a 2026 legacy exit. Responsibilities • Define Salesforce‑led target architectures across business processes, data, integrations and release management., • Own solution design for Salesforce capabilities, working closely with delivery teams throughout build and release cycles., • Provide architectural assurance, challenge designs constructively, and unblock delivery risks., • Collaborate with business, technology, data and integration teams to align solutions to programme objectives., • Support release planning, environment strategy and deployment governance across Salesforce and adjacent platforms. Key deliverables • Salesforce solution architectures aligned to enterprise standards and delivery constraints., • High‑level and low‑level designs covering data models, integrations, security and non‑functional requirements., • Architecture decision records (ADRs) and governance artefacts., • Input into release management, deployment strategy and environment configuration (e.g. Gearset / Azure DevOps)., • Design support through build, test, cutover and legacy decommissioning phases. Essential skills and experience • Proven experience as a Salesforce Solution Architect on complex, multi‑stream delivery programmes., • Strong understanding of Salesforce Sales Cloud, Service Cloud, data models, security, sharing and limits., • Experience designing integrations between Salesforce and downstream systems using modern integration patterns., • Strong grasp of order‑to‑cash / billing, customer lifecycle or transactional business processes., • Experience working in delivery‑embedded architecture roles, balancing governance with pace., • Ability to clearly articulate, document and defend architectural decisions with senior stakeholders. Additional desirable experience • Experience with Salesforce release management tooling (e.g. Gearset) and ALM practices., • Exposure to Azure DevOps or similar delivery toolchains., • Experience working in regulated or highly controlled enterprise environments., • Background in utilities, financial services, subscription or membership‑based organisations. Contract length - 6 months There is a requirement to be on site 2 days a week For more information please apply with a CV and outside of IR35 day expectations to

Affinity Labs: Founding Product Engineer Location: London Area, United Kingdom · On-site Company Description At Affinity Labs, we’re building a full-stack AI venture studio that partners with content creators to co-found authentic, scalable software businesses. By combining AI-native development with creator-led distribution, we're pioneering a new model of monetisation by rapidly building, launching, and scaling digital ventures alongside with creators and their audiences. We aim to launch ventures 10x faster and cheaper than traditional methods using our internal "AI factory": a multi-agent architecture, reusable component libraries, and a growing knowledge graph that learns from every product we ship. Why Affinity Labs: Ship at rapid pace with AI-accelerated workflows, see your work distributed to tens of thousands of users at launch, and compound impact across multiple products, not just one. Role Description You’ll lead end-to-end product engineering across our portfolio: scoping features, designing APIs and data models, building backend services, and shipping polished user-facing experiences across web and mobile. This is an early-stage, hands-on role with significant autonomy and responsibility. You will own full-stack product delivery, from infrastructure and AI integrations through to React / React Native interfaces, collaborating closely with founders, creators, product, and design to turn lean specs into scalable, user-loved software. We’re looking for a strong generalist with backend depth and real mobile experience. Responsibilities • Implement features end-to-end (mobile + web frontend → APIs → data models → integrations) while maintaining quality and velocity., • Build React Native mobile apps and shared component systems across products., • Design and ship scalable backend services (APIs, integrations, AI workflows)., • Run tight build → test → iterate → ship loops; provide realistic estimates and surface blockers early., • Manage tech debt pragmatically, • Participate in daily standups and weekly planning; contribute to technical strategy and execute from Linear tickets., • Contribute meaningfully to product and architecture discussions; be heard in debate and align to unified decisions., • Own operability: CI/CD, monitoring/alerting, performance optimisation, safe rollbacks., • Build and integrate AI features (LLM/agent workflows, RAG/vector DB integration, eval hooks, cost/safety guardrails)., • Help evolve our reusable product templates and shared architecture across the portfolio. Essential Requirements • 3-6+ years building production-grade full-stack applications, with clear ownership., • Strong backend experience in Python (FastAPI preferred) and solid database skills (PostgreSQL/MongoDB)., • Proven experience building and shipping mobile apps with React Native., • Strong React fundamentals (Next.js experience a plus)., • Solid API design and systems thinking., • Familiarity with AWS serverless patterns and Docker; basic CI/CD concepts., • Comfortable with Redis (caching/sessions) and queue/messaging patterns., • Startup mindset: high ownership, comfort with ambiguity, bias toward shipping., • Growth mindset & flexibility: open to feedback; not rigid about stack/tools., • Clear communicator & collaborator; able to guide product decisions from engineering perspective., • Evidence of shipping quickly in small teams (links to apps, repos, case studies, live products). Desired • Node.js alongside Python for services or integrations., • App Store / Google Play release experience., • Experience with vector databases (e.g., Chroma) and embedding pipelines., • LangChain or CrewAI for orchestration; MCP servers for integrations., • Security hygiene (secrets, permissions, least-privilege) and practical data-privacy basics., • Planning & execution in Linear (or similar). Tools & Stack • Backend/Runtime: Python (FastAPI), Node.js., • Frontend: React/Next.js, • Mobile: React Native, • Datastores: PostgreSQL, MongoDB (as appropriate), Redis (caching/sessions)., • Vectors/Embeddings: Chroma (or similar)., • AI Models & APIs: Claude (Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram (audio)., • AI Dev Tools: LangChain or CrewAI (orchestration), MCP servers (integration), GitHub Copilot / Claude Code., • Infrastructure: AWS (serverless functions), Docker (primarily for custom MCPs). Competencies & Behaviours • Communicates clearly with technical and non-technical teammates., • Takes ownership from concept to deploy and through maintenance., • Thinks in systems + design for reuse across a portfolio., • Balances technical excellence with pragmatic delivery to meet business needs., • Adapts quickly to changing requirements and emerging tech; applies AI learnings., • Sets clear goals, tracks progress, and hits commitments; collaborates across disciplines. Why this role is a career launchpad • Own the code & the company. You step in as a Founding Engineer with a meaningful equity stake from day one., • Ship faster with AI at your side. Our workflow bakes in AI so you spend your time solving real problems—not boilerplate., • Ride a rocket. Our wider vision is big and the bar is high; we need driven people who can help us achieve an ambitious roadmap., • Grow like crazy. You’ll architect, build, and launch multiple products each year. The shipping reps you’ll get in 12 months here would take 3–4 years in a typical startup. There’s a lot of work, it’s high intensity, and the expectation is to ship extremely quickly., • Learn from builders, not bosses. Work shoulder-to-shoulder with a team that has scaled VC-backed startups, closed multi-million-pound term sheets, and collaborated with 1,000+ creators across formats and categories.

Lead Data Engineer (Contract) Location: London (2 days onsite per week) Day Rate: £500-£550 Per day (Outside IR35) Duration: 6-month contract Start: ASAP Overview We are looking for a Lead Data Engineer to join a high-performing team delivering advanced data platforms that support financial institutions in tackling fraud and financial crime. In this role, you will help design and evolve a modern Databricks + AWS lakehouse architecture, enabling analytics, machine learning, and investigative teams to generate actionable insights from large-scale datasets. This is a hands-on leadership position focused on building robust, scalable, and governed data solutions using modern cloud technologies. The Role • Own the end-to-end design, build, optimisation, and support of scalable Spark / PySpark data pipelines (batch and streaming), • Define and implement lakehouse architecture standards (medallion model: bronze, silver, gold), including governance, lineage, and data quality controls, • Design and manage secure data ingestion frameworks (e.g. Apache NiFi, APIs, SFTP/FTPS) for internal and external data sources, • Architect and maintain secure AWS-based data infrastructure (S3, IAM, KMS, Glue, Lake Formation, Lambda, Step Functions, CloudWatch, etc.), • Implement orchestration using tools such as Airflow, Databricks Workflows, and Step Functions, • Champion data quality, observability, and reliability (SLAs, monitoring, alerting, reconciliation), • Drive CI/CD best practices for data platforms (infrastructure as code, automated testing, versioning, environment promotion), • Mentor engineers on distributed data processing, performance optimisation, and cost efficiency, • Collaborate with data science, product, and compliance teams to translate requirements into scalable data solutions Required Skills & Experience • Strong experience as a Senior or Lead Data Engineer with ownership of end-to-end data solutions, • Expertise in Databricks, PySpark / Spark, SQL, and Python, • Proven experience building and optimising large-scale data pipelines in production environments, • Strong knowledge of cloud data architectures, particularly within AWS, • Experience designing scalable data models and reusable frameworks, • Hands-on experience with orchestration tools such as Airflow or similar, • Solid understanding of data governance, lineage, and compliance requirements, • Experience with CI/CD pipelines and infrastructure as code (e.g. Terraform, CloudFormation), • Strong communication skills with the ability to collaborate across technical and non-technical teams What We’re Looking For • A hands-on technical leader who can design, build, and deliver solutions independently, • Someone comfortable working with high-volume, high-throughput data systems, • Strong problem-solving skills and a pragmatic, delivery-focused mindset, • Experience mentoring engineers and setting engineering standards and best practices, • Ability to balance technical excellence with delivery timelines

Senior Python Quantitative Developer sought by a specialist and multi-award-winning Systematic Hedge Fund in a brand-new Core team designing and implementing a greenfield centralised Python/SQL/Linux/Docker platform for Backtesting, Pricing, Risk and Performance to be used across all Funds and Investment teams. Our client is an early Quantitative Investment Firm, managing around $10BN+ and with a focus on Scientific Investing and new ideas. They also boast a rare and highly reputable culture and working environment geared towards collaboration and communication, with zero siloes, and industry-leading tenure. The firm totals around 150 staff, all of whom are office-based three or more days per week. This is a more technical Senior QD role which will involve collaborating with Quantitative Researchers and Portfolio Managers to architect, design and implement scalable solutions, addressing complex business needs. Primarily, you will be charged with delivering and maintaining critical components of the investment infrastructure, including the Data Interface Layer, Central Risk Calculations, and Backtesting Frameworks which will be a key tool for the Investment teams. Essential Skills & Experience: • Excellent Quant Development and Python skills, as per 3+ years of professional experience in Financial Markets, ideally in a Systematic Hedge Fund and/or dealing with Futures., • Quantitative Finance experience and knowledge, preferably with experience in developing financial Backtesting systems for Quantitative Strategies., • Hands-on experience with continuous integration and delivery systems such as Jenkins and GitLab CI/CD and a strong understanding of Software Development Life Cycle (SDLC) best practices, with knowledge of SQL, Linux and ideally Docker., • PhD/MSc level education in a numerate discipline from a top institution., • MATLAB experience highly desirable. This is an outstanding opportunity to join a world-class boutique Systematic Investment business, playing a key role in the delivery of a crucial core platform for use by cross-functional teams across multiple investment platforms.

Rate: £550-£600 Outside IR35 Duration: 3 months initially, view to extend Location: London 1 day per week, 4 days remote (open to remote) Overview We are looking for a senior Network Architect for an engagement with a major financial services client. You will be an expert-level practitioner who is equally comfortable working at depth technically and presenting findings to senior executives. Both skills are essential for this engagement. What the Role Involves • Assess and document the current network estate across LAN, WAN, and Data Centre environments, • Identify fragmentation, technical debt, and architectural risk within the existing environment, • Produce a current state assessment and a clear future state architecture recommendation, • Validate existing designs and configurations against current best practice for financial services environments, • Engage with internal technology teams, architects, and engineering staff to gather information and validate findings, • Present findings and recommendations to senior stakeholders and executive audiences: translating technical complexity into business risk and impact, • Define a pragmatic, prioritised roadmap from current to target state Technical Skills Required Cisco Platform Expertise • Expert-level knowledge of Cisco networking across LAN, WAN, and Data Centre: this is non-negotiable, • Hands-on experience with Cisco ACI: policy model, fabric design, and operational management, • Familiarity with Cisco DNA Centre, ISE, and related campus and branch tooling Routing and Switching Protocols • Strong command of BGP and OSPF in enterprise and data centre contexts, • Working knowledge of EIGRP and other legacy protocols: able to assess environments where these remain in use, • Understanding of SD-WAN architectures and migration considerations Architecture and Assessment • Proven ability to assess fragmented, multi-vendor environments and produce HLD/LLD documentation independently, • Experience producing current state assessments and future state recommendations as formal deliverables, • Strong understanding of network security principles as they apply to financial services infrastructure, • Familiarity with cloud connectivity patterns (Azure/AWS) and hybrid architectures Experience Required • CCIE-level expertise: certified or equivalent demonstrated experience. Depth of knowledge is what matters, • Substantial background in financial services: banking, capital markets, or equivalent regulated environments, • Experience presenting to senior technology stakeholders: Heads of Architecture, CTOs, or equivalent

About the Company The mission of LTM Company is to engineer meaningful technology solutions to help businesses and societies flourish. Our successful technology business serves over 2000 Global customers and now, we are in a process of expanding. LTM is extending its technology business with specific expansion plans in UK Role: Shopify Engineer Location: London, UK (2 days onsite) About the Role Seeking a Middleware Backend Engineer with hands-on experience in Shopify Hydrogen framework and expertise in Golang, ReactJS, AWS services, and microservices architecture. Responsibilities • Implement UI designs by integrating Figma Mark into projects., • Develop scalable backend services using Golang, NestJS, and TypeScript., • Work with PostgreSQL and DynamoDB databases to manage data efficiently., • Build and maintain GraphQL APIs for seamless data querying., • Utilize AWS services including API Gateway, Lambda, RDS, S3, Step Functions, SNS, and SQS to deploy and manage cloud-native applications., • Containerize applications using Docker for consistent deployment environments., • Develop and maintain Golang microservices ensuring high performance and reliability. Qualifications • Collaborate with frontend and design teams to implement headless Shopify solutions using Hydrogen framework., • Translate Figma designs into functional components and integrate them effectively., • Architect, develop, and maintain backend services and APIs., • Ensure robust database design and optimize queries for performance., • Implement and manage AWS infrastructure components to support backend services., • Write clean, maintainable, and well-documented code following best practices., • Participate in code reviews, testing, and deployment activities., • Troubleshoot and resolve production issues in a timely manner., • Continuously explore and adopt new technologies to improve development efficiency and product quality. Required Skills • Experience with Shopify Hydrogen framework., • Proficiency in Golang, ReactJS, and TypeScript., • Familiarity with AWS services., • Experience with microservices architecture. Preferred Skills • Experience with PostgreSQL and DynamoDB., • Knowledge of GraphQL APIs., • Experience with Docker.

About the Role We are partnering with a fast-growing, high-impact data and AI consulting firm that works with Fortune 1000 clients to solve complex business problems. This role sits at the heart of transformation. • You will help enterprise clients rethink their finance function using advanced analytics, cloud, and modern data architecture., • You will work closely with senior stakeholders., • You will influence strategy., • And you will design scalable, future-ready data platforms. What You’ll Do • Lead end-to-end data architecture design—from concept to delivery across Azure and GCP, • Build scalable data platforms for analytics and ML use cases, • Design conceptual, logical, and physical data models, • Architect solutions using tools like BigQuery, Dataflow, and Cloud Storage, • Drive environment setup, sizing, and optimisation across cloud platforms, • Ensure best practices in data architecture, governance, and integration, • Partner with business consultants and product teams to deliver impactful solutions, • Mentor engineering and analytics teams on cloud data architecture, • Stay ahead of emerging cloud trends and recommend adoption strategies, • Support pre-sales, PoCs, and thought leadership initiatives, • Work closely with leadership to shape long-term data strategy What We’re Looking For • Proven experience delivering data and analytics solutions on Azure and GCP, • Strong hands-on experience with tools such as:, • Dataflow, Pub/Sub, Dataproc, Cloud Composer, Data Fusion, • Deep expertise in data warehousing and analytics:, • BigQuery, Cloud Storage, Looker, • Solid understanding of modern data concepts:, • Data Mesh, Data Fabric, Data Products, Data Contracts, • Experience designing scalable, cloud-native data architectures, • Strong stakeholder management and communication skills, • Consulting mindset with the ability to work in fast-paced environments Why This Role • Work directly with senior stakeholders at global enterprises, • Influence large-scale data transformation programs, • Be part of a fast-growing, innovation-driven environment, • High visibility role with strong impact on business outcomes If Interested? Apply now or reach out to directly for a confidential discussion. Only shortlisted candidate will be notified. Thank you! Sapna Oberai TechClover Pte. Ltd. EA License No: 23S1705 Reg No: R24124924

The Role Senior Network Security SME and design authority responsible for network segmentation and Zero Trust initiatives across on-prem and hybrid cloud environments. This role owns architecture decisions, enforcement strategy, and senior customer engagement for a large enterprise environment. Your responsibilities: (Up to 10, Avoid repetition) • Act as Network Security Design Authority for segmentation and Zero Trust., • Design, implement, and optimize network segmentation using Guardicore and Illumio., • Own User-to-Server (U2S) and Server-to-Server (S2S) traffic controls., • Lead Guardicore → Illumio transition and future-state architecture., • Drive segmentation standards, governance, and operational handover., • Serve as primary technical interface to senior customer stakeholders., • Manage escalations related to enforcement, legacy dependencies, and risk trade-offs., • Act as a Subject Matter Expert (SME) in analyzing and visualizing "application" traffic to understand application flows and dependencies, • Overseeing the design, implementation, and optimization Network segmentation Essential skills/knowledge/experience: • 15+ years in Network Security with architect / design authority responsibility., • Strong, hands-on expertise in network segmentation / microsegmentation., • Proven experience with Guardicore and Illumio., • Deep understanding of on-prem data center network security., • Working knowledge of hybrid cloud network security, including:, • VPC / VNet design, • Security Groups / NSGs, • Hybrid connectivity (VPN, ExpressRoute, Direct Connect), • Zero Trust architecture exposure.

Principal Data Architect - AI, Robotics & Scientific Platforms Location - London or Glasgow. This is your chance to join a high-growth deep-tech company building a next-generation platform at the intersection of AI, robotics, and scientific discovery. You’ll play a key role in designing and owning the core data architecture that powers a globally distributed network of automated laboratories, shaping how data is captured, structured, and used to drive AI-led innovation. Why Join • Build the data backbone of a global AI-driven scientific platform., • Work on complex, high-impact challenges across distributed systems, real-time data, and AI infrastructure., • Be part of a fast-scaling, collaborative team working at the frontier of robotics, data, and science., • Gain real ownership in defining data architecture, governance, and platform strategy from the ground up. What You Will Be Doing • Design and implement a scalable, ML-ready data architecture across scientific and operational systems., • Build a data lakehouse on AWS to handle large-scale, unstructured data (sensor data, logs, experimental outputs)., • Architect real-time streaming pipelines (e.g. MQTT/event-driven systems) for high-frequency telemetry., • Design distributed data systems that synchronise edge (lab) and cloud environments globally., • Develop graph and semantic data models for complex, highly relational datasets., • Integrate vector databases to enable large-scale similarity search and AI use cases., • Define data governance frameworks, including tenancy, security, and compliance., • Enable secure, scalable data sharing across enterprise customers and external partners., • Help shape internal data standards, architecture patterns, and long-term platform strategy. About You • 8+ years experience in Data Architecture / Data Platform Engineering., • Strong Python experience in production data systems., • Deep experience with PostgreSQL (ideally AWS RDS)., • Proven experience building distributed data systems at scale., • Strong understanding of streaming / event-driven architectures (e.g. MQTT, Kafka)., • Experience working with high-volume telemetry / IoT / time-series data., • Comfortable operating as a hands-on, senior individual contributor. Nice to Have • Experience with graph or vector databases (Neo4j, Pinecone, pgvector)., • Background in data governance, multi-tenancy, or secure data sharing., • Exposure to scientific, robotics, or manufacturing data environments., • Familiarity with modern data stacks (lakehouse, streaming, real-time pipelines)., • Experience in regulated environments (SOC 2, ISO 27001). Interested? Apply now or reach out directly at . We’re moving quickly!

Solution Architect | Cloud, AI & Transformation | Financial Services A leading global professional services firm is expanding its Financial Services Tax Transformation function, with a major focus on AI adoption and technology-led innovation across the practice. They’re looking for a Solution Architect to play a key role in designing and delivering cloud-native, AI-enabled solutions that modernise tax processes and drive real, measurable impact. The Role You’ll work at the intersection of architecture, AI, and business transformation, partnering with stakeholders across product, engineering, and the wider business to translate complex requirements into scalable, secure solutions. What You’ll Be Doing • Designing end-to-end cloud-native architectures (Azure-focused), • Building and implementing GenAI solutions and multi-agent systems (LangGraph or similar), • Defining best practices across DevOps, CI/CD, and engineering standards, • Integrating Power Platform tools with enterprise systems and data sources, • Shaping technical roadmaps, architecture patterns, and reusable frameworks, • Driving observability, performance, and continuous improvement, • Collaborating with cross-functional teams including product, BA, and programme leadership What They’re Looking For • Strong experience with Azure, Kubernetes, and cloud-native architecture, • Proficiency in Python, .NET, or Java, • Hands-on experience with GenAI / LLMs and machine learning, • Experience building AI agents / multi-agent systems, • Knowledge of APIs, event-driven systems, data pipelines, and security best practices, • Exposure to Power Platform (Power Apps, Power Automate, Power BI) is a plus, • Strong stakeholder management and ability to work across multiple priorities Why Join? • Be part of a large-scale AI transformation programme within a globally recognised firm, • Work on cutting-edge GenAI and agent-based solutions, • High-impact role with visibility across senior stakeholders, • Collaborative, fast-evolving environment with a strong focus on innovation

Azure Integration Developer | Global Enterprise Technology Organisation | London We’re partnering with a global, high‑performing organisation currently modernising and scaling its cloud integration and API platform across international markets. As part of a wider digital transformation, the business is investing heavily in event‑driven architecture, cloud‑native integration, and platform reliability on Microsoft Azure. You’ll join a central integration and platform team made up of experienced engineers, architects, and cloud specialists. The team works cross‑functionally with product, data, and domain teams to deliver shared platforms used globally. This is a role with genuine influence, your work will be widely adopted, long‑lived, and foundational to how the organisation operates. Role: • Design and build cloud‑native integration solutions on Azure using Functions, Event Grid, and Azure Integration Services., • Architect and operate event‑driven, asynchronous messaging systems using Azure Service Bus at scale., • Own and evolve Azure API Management as the API gateway, covering security, traffic control, policies, and governance., • Apply SRE principles to integration platforms, including automation, monitoring, reliability engineering, and incident readiness., • Collaborate with architects and engineering teams to set integration standards, patterns, and best practices across the organisation. Skills Needed: • Strong software engineering experience with C#/.NET (and supporting scripting where required)., • Deep hands‑on experience with Azure integration and messaging services, particularly Azure Service Bus., • Solid experience operating production APIs using Azure API Management., • Strong understanding of event‑driven architecture, integration patterns, and distributed systems., • An SRE or operational mindset, you care about reliability, observability, and running systems at scale., • Experience with cloud security, identity, and governance in Azure environments., • Comfort working in complex, multi‑team environments with real production ownership., • Experience automating deployments and infrastructure using ARM, Bicep, or similar IaC tools. This role is ideal for a senior engineer who wants to shape integration foundations, not just deliver individual features. If you’re motivated by building reliable systems that power global platforms and by owning what you put into production we’d love to hear from you. Please share your CV or get in touch to discuss the opportunity in more detail.

Founding AI Software Engineer | Global Media | London / Yorkshire | The Opportunity Join a newly formed AI team acting as an internal incubator for a highly established, global media and technology group. We are reinventing how we operate through the lens of artificial intelligence, building high-impact solutions across our portfolio of digital publishing, visual content, and data analytics brands. This role exists to bridge the gap between emerging AI research and tangible business value. We aren't interested in traditional, slow-moving development cycles; we are looking for a founding engineer to define what "AI-native" means for our entire organisation. You will be forward-deployed, working directly with business units to solve problems that others haven't even identified yet. This is your chance to move from concept to working prototype in days, leveraging the most advanced agentic tools to ship at unprecedented velocity. You'll enjoy the autonomy of a startup founder, backed by the resources, scale, and rich data of a heritage media institution. What You’ll Be Doing Core Engineering & Prototyping • Ship at Velocity: Build AI-powered solutions rapidly using AI-native development approaches, leveraging tools like Claude Code and agentic engineering techniques to build in hours what traditionally takes days., • Embedded Prototyping: Build rapid proof-of-concepts directly alongside business teams. Move from requirements to working demonstrations with astonishing speed using TypeScript, Node.js, and AWS., • Continuous Experimentation: Push technical boundaries by testing new models, techniques, and agentic approaches the day they are released., • Multiply Capabilities: Create APIs, integration patterns, and developer experiences that allow other engineering teams to leverage your AI capabilities seamlessly., • Establish Guardrails: Design and implement lightweight, pragmatic technical standards for responsible and ethical AI deployment without sacrificing development velocity., • Lead by Example: Establish AI-native engineering practices that accelerate the entire organisation, leading through demonstration and shipping working code rather than writing lengthy documentation. What We’re Looking For Essential Skills • Modern Engineering Depth: Senior-level expertise in TypeScript and Node.js with a proven ability to architect, deploy, and scale production systems in AWS cloud environments., • Advanced AI Fluency: Deep experience building agentic systems, implementing complex RAG architectures, and chaining multiple LLMs (OpenAI, Anthropic, etc.). You go far beyond basic API wrappers and understand context management, prompt engineering, and model behavior., • AI-Assisted Workflow: You already use AI coding assistants (Claude Code, Copilot, Cursor) to accelerate your own engineering workflow., • Rapid Iteration: Comfort operating at extreme velocity in ambiguous environments. You know intuitively when to hack together a messy prototype for learning versus when to build robustly for production scale., • Domain Context: Experience working in media, content licensing, data-intensive domains, or high-volume publishing., • Infrastructure Expertise: Deep understanding of modern cloud infrastructure, including containerisation, serverless architectures, and Infrastructure as Code (IaC)., • ML Intuition: A background in data science or ML engineering that provides intuition for embedding spaces, attention mechanisms, and evaluation methodologies., • Production Observability: Experience with monitoring and telemetry tooling to debug complex, multi-step AI agents in production., • Community Presence: Active contribution to open-source AI projects or a technical footprint demonstrating thought leadership in the AI engineering space.

This organisation is a leading Global Systems Integrator delivering large-scale digital, cloud, and AI transformation programmes for enterprise clients worldwide. With deep capabilities across technology consulting, systems integration, and enterprise platform delivery, the firm partners with global organisations to modernise operations, unlock data value, and embed AI at scale. Operating at the forefront of Agentic AI and Generative AI, the business combines strategic advisory with deep engineering execution — supporting clients from AI vision and roadmap through to full enterprise deployment and governance. As a recognised enterprise transformation partner, the organisation: • Delivers complex, multi-million-pound technology programmes across global markets, • Works closely with C-suite stakeholders to shape AI-led business transformation, • Integrates AI into enterprise ecosystems including ERP, CRM, digital, and data platforms, • Invests in AI accelerators, reference architectures, and innovation frameworks, • Prioritises responsible AI, governance, scalability, and enterprise-grade security This is an opportunity to join a globally respected consulting environment shaping the next generation of enterprise AI adoption About the Role This is a senior leadership role sitting at the intersection of AI strategy, enterprise architecture, and complex deal leadership. • Shape executive-level AI transformation conversations, • Lead high-value AI deal pursuits and solution design, • Architect enterprise-scale Agentic and Generative AI systems, • Translate emerging AI capabilities into measurable business outcomes You will operate as both a recognised thought leader and a hands-on practitioner — guiding multi-agent architectures, RAG pipelines, LLM ecosystems, and enterprise AI operating models. This role combines strategic advisory influence with deep technical oversight, mentoring senior architects, engineers, and data scientists across complex programmes. Key Responsibilities • Advise C-suite stakeholders on AI strategy, governance, and operating models, • Lead AI-driven deal pursuits including shaping, estimation, and executive presentations, • Own end-to-end solution architecture for complex AI engagements, • Design Agentic AI systems (multi-agent, orchestration, human-in-the-loop workflows), • Architect Generative AI solutions including prompt pipelines, RAG, and fine-tuning strategies, • Integrate AI solutions into enterprise systems (ERP, CRM, digital and data platforms), • Define AI lifecycle management, monitoring, scalability, and cost optimisation frameworks, • Provide technical leadership and mentoring to delivery teams Key Skills • 15+ years in technology consulting, digital transformation, or advanced analytics, • 5+ years hands-on AI/ML experience with strong focus on Generative AI and Agentic AI, • Expertise in LLMs, agentic frameworks, orchestration patterns, and RAG pipelines, • Experience with vector databases, embeddings, and model evaluation strategies, • Proven track record leading complex enterprise AI deals, • Strong executive presence and ability to translate AI into business value, • AI publications or speaking engagements, • Experience shaping AI Centres of Excellence or enterprise AI operating models Salary: £130,000 - £180,000 + Benefits + Bonus Location: London Working Model: Hybrid Apply now or share your CV as our client is interviewing immediately.

Intelligence Architect (AI) | London | Permanent We’re hiring Intelligence Architects at Conquer AI. This is not a pure engineering role. This is not a pure consulting role. It sits in the middle — and that’s the point. What you’ll actually do You’ll take messy, real-world problems from clients and turn them into working AI systems. That means: • Running discovery sessions to understand how businesses actually operate, • Translating that into clear technical approaches (LLMs, data, APIs, workflows), • Designing end-to-end systems — not just components, • Working closely with engineers to build and ship You’ll be responsible for systems that actually run. What we’re building We design and deploy agentic AI systems into real enterprise workflows. Typical work includes: • Document intelligence systems (unstructured data → decisions), • RAG pipelines and knowledge systems, • AI-driven operational workflows What we’re looking for You don’t need to tick every box — but if you’re a fit, you’ll recognise yourself here: • You’ve built real systems, not just features, • You’re comfortable going from:, • problem → architecture → working solution, • You’ve worked with:, • AI / ML / LLMs in a meaningful way, • APIs, data pipelines, integrations, • You can talk to clients and make complex ideas clear, • You take ownership — you don’t wait for perfect specs, • You’re comfortable in fast-moving, ambiguous environments What this is not • Not a role where you just integrate APIs, • Not a role where you sit behind Jira tickets What you’ll get • Real ownership from day one, • Work that actually matters (not internal tooling), • Exposure to complex, high-value problems, • A team that moves quickly and ships, • Equity upside About Conquer AI We design and deploy AI systems into enterprise organisations. Our focus is simple: Build systems that work in production and deliver measurable impact. Interested? Send through your profile. If it’s a fit, we’ll move quickly.

🚀 Founding Engineer | £100m Bootstrapped Funding We’re partnered with an ambitious AI startup building the intelligence layer that can autonomously run small businesses Working alongside a highly successful technical founder (previous $300m bootstrapped exit), they are assembling a world-class founding team to build something entirely new 💰 Up to £150k + Up to 1% equity 🏗️ True founding engineer scope ⚡ Fast-moving, high-impact environment The Role: This is a hands-on founding engineer position where you will be shipping fast, shaping architecture, and embedding cutting-edge AI directly into the product You will be building systems that enable thousands of businesses to operate autonomously What you’ll do: ⚙️ Build and ship step-changing product features end-to-end ⚙️ Integrate advanced AI capabilities including voice, reasoning, and context management ⚙️ Design and own scalable APIs connecting products and intelligence systems ⚙️ Architect data pipelines that power decision-making and agent context ⚙️ Build backend systems for knowledge extraction, enrichment, and automation ⚙️ Contribute to DevOps practices across CI/CD, infrastructure, and observability What we’re looking for: 👩 💻 Deep full-stack JavaScript or strong backend Python expertise 🔥 High agency mindset with end-to-end ownership 🎯 Strong track record of shipping production-ready features quickly 🤖 AI fluency and ability to leverage tools for speed and efficiency 🏆 High standards with a focus on quality and outcomes Why join: 📈 Meaningful equity with real value 💸 High salary without compromising stability 🛠️ Best-in-class tools, hardware, and setup 🏆 Proven founding team with a $300m exit track record 💰 Significant internal funding with no external pressure If you want to build at the frontier of AI and be part of a founding team creating something category-defining, let’s connect

Role Summary The Senior ServiceNow Architect is accountable for the end-to-end technical architecture, governance, and strategic evolution of the ServiceNow platform, with a strong focus on ITSM, ITOM, CMDB, CSDM, and Discovery. This role provides architectural leadership across the ServiceNow estate, ensuring the platform is scalable, secure, supportable, and aligned to ServiceNow best practices and industry frameworks such as ITIL. The architect defines the technical roadmap, governs design decisions, and acts as the senior technical authority across delivery teams and stakeholders. Key Responsibilities Platform Architecture & Strategy • Own and maintain the ServiceNow platform architecture, ensuring alignment with enterprise architecture standards and ServiceNow OOTB best practices., • Define and govern the ServiceNow technical roadmap, balancing short term delivery needs with long term platform sustainability., • Act as the design authority for all significant platform changes, integrations, and enhancements., • Ensure architectural consistency across ITSM, ITOM, CSM, and future ServiceNow capability expansion. CMDB, CSDM & Discovery Leadership • Design, implement, and govern a robust CMDB architecture, ensuring accuracy, completeness, and fitness for purpose., • Lead the adoption and ongoing maturity of the Common Service Data Model (CSDM) across business, application, and infrastructure layers., • Define and enforce CMDB data governance, including CI lifecycle management, ownership models, reconciliation rules, and data quality KPIs., • Architect and oversee ServiceNow Discovery solutions (horizontal and cloud), ensuring reliable, automated population of the CMDB., • Ensure CMDB alignment with downstream consumers such as Incident, Problem, Change, ITOM Health, and Service Mapping. Solution Design & Delivery Governance • Design end to end ServiceNow solutions, from requirements through to build, test, and deployment., • Provide hands on architectural guidance to developers and implementation teams, reviewing designs and code where required., • Ensure solutions minimise customisation and maximise OOTB capabilities, configuration over custom code, and reuse., • Govern technical delivery through design reviews, architecture boards, and technical assurance checkpoints. Integrations & Platform Engineering • Architect and govern integrations using REST, SOAP, IntegrationHub, MID Servers, and event based patterns., • Ensure integration designs are secure, resilient, scalable, and aligned with enterprise integration standards., • Oversee MID Server architecture, credential management, and network/security considerations., • Ensure performance, availability, and resilience of the ServiceNow platform. Stakeholder & Senior Leadership • Act as a trusted advisor to platform owners, senior stakeholders, and programme leadership., • Translate business requirements into clear, pragmatic architectural solutions., • Mentor and develop Solution Architects, Technical Leads, and senior developers., • Contribute to practice assets, standards, accelerators, and continuous improvement initiatives. Required Skills & Experience Technical & Functional Expertise • Extensive experience designing and architecting ServiceNow enterprise implementations., • Deep expertise in: o ITSM (Incident, Problem, Change, Request, Knowledge) o CMDB & CSDM (v4+ concepts, domains, service lifecycle) o ITOM (Discovery, Service Mapping, Event Management – preferred) • Strong understanding of ITIL processes and how they are implemented in ServiceNow., • Proven experience governing complex, multi team ServiceNow delivery programmes. Architecture & Delivery • Proven experience defining platform wide architecture standards and guardrails., • Strong integration design experience (REST/SOAP, IntegrationHub, MID Server patterns)., • Experience working in Agile / Scrum delivery environments., • Excellent stakeholder management and communication skills. ServiceNow Certifications Mandatory / Strongly Expected • ServiceNow Certified System Administrator (CSA), • ServiceNow Certified Implementation Specialist – ITSM (CIS ITSM), • ServiceNow Certified Implementation Specialist – Discovery or ITOM (or equivalent ITOM CIS) Highly Recommended for Success in the Role • ServiceNow Certified Application Developer (CAD), • ServiceNow Certified Implementation Specialist – Service Mapping, • ServiceNow Certified Implementation Specialist – CMDB / CSDM aligned modules (where available) Architect Level / Strategic Certifications (Preferred) • ServiceNow Certified Master Architect (CMA) or, • ServiceNow Certified Technical Architect (CTA) or actively progressing toward CTA, • ITIL v4 Foundation or higher

About the Role: Grade Level (for internal use): 13 Revenue Technical Solution Architect (Grade 13) Role Summary The Revenue Technical Solution Architect (RTSA) is a principal-level strategic leader that partners closely with Sales, Account Management, Product Technology and our Enterprise Data Organization to lead technical discussions with clients and contribute to technical end to end solutions that drive velocity, deal size, win rates and retention. The RTSA contributes to solution narratives, helps removed technical friction in the sales cycles and supports adaption and expansion by ensuring solutions are scalable, secure and feasible. Primary Focus • Drive technical deal execution by translating customer objectives into practical technical solution designs aligned to established product capabilities, architectures and delivery standards, • Contribute to shift in feature selling to solution-led consultative architecture, emphasizing workflow integration, automation, measurable outcomes and repeatable delivery patterns, • Enable scale in the revenue organization by shaping playbooks and revenue enablement strategies for technical integration, connectivity and AI solution deployment, • Build relationships with customer technical stakeholders to align on objectives, architecture strategy and adoption barriersRevenue & Deal Enablement, • Support revenue teams by contributing to solution narratives, value propositions, and technical positioning aligned to existing plays and messaging., • Participate in customer meetings as a technical advisor in order to demonstrate S&P capabilities, handle technical objections and establish S&P as a strategic long term partner, • Translate complex customer requirements in order to position deployable solutions and repeatable sales patternsCustomer & Commercial Problem Solving, • Develop an advanced understanding of the customer ecosystem and business processes and map workflows to solution capabilities (data, analytics, automation/AI) to support measurable outcomes., • Resolve technical objections by aligning architecture decisions to customer capability and coordinate with internal teams to provide evidence (benchmarks, patterns, references)., • Identify adoption risks and gaps (data readiness, integration dependencies, security reviews) and support mitigation planning with Revenue teams , Product and TechnologyCross-Functional Collaboration, • Collaborate with Product, Engineering, and Technology partners to share deal learnings and contribute to refinement of offerings through structured feedback (e.g., defect/enhancement input, pattern gaps)., • Participate in cross-functional initiatives (playbooks, templates, reference architectures) by contributing content and examples, • Contribute to strategic technology initiatives by ensuring the customer voice and feedback is incorporated to evolve our solutions, • Develop deep relationships with technology counterparts at our customers and partnersOrganizational Enablement & Influence, • Shape enterprise playbooks, governance, and enablement strategies with key stakeholders., • Design and lead advanced training programs for revenue-wide capability building., • Contribute to prototypes and proofs of concept with customers to ensure appropriate for workflow fit and technical feasibility, maintain feedback loop with Product and TechnologyRequired Experience & Revenue Expertise, • 8+ years in solution architecture, technology, pre-sales, and/or GTM architecture., • Advanced expertise in enterprise architecture, integration strategies, and customer ecosystems., • Technical fluency in cloud platforms (AWS, Azure, GCP) , hyperscalers and modern orchestration approaches., • Working fluency in AI/automation concepts, including agentic frameworks and orchestration tools, with the ability to translate capabilities into deployable client solutions., • Proven capability to partner across Revenue, Technology and Product functions, • Excellent stakeholder management skills across matrixed organizations., • Strong communication and presentation skills, • Bachelor's or Master's degree in Business, Computer Science, Engineering, or related field About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: • Health & Wellness: Health care coverage designed for the mind and body., • Flexible Downtime: Generous time off helps keep you energized for your time on., • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills., • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs., • Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to:" "and your request will be forwarded to the appropriate person." US Candidates Only: Know Your Rights: Workplace discrimination is illegal 103 - Middle Management (EEO Job Group) (inactive), 10 - Officials or Managers (EEO-2 Job Categories-United States of America), PDMGDV103.2 - Middle Management Tier II (EEO Job Group)

About the Role: Grade Level (for internal use): 11 The Team: The S&P Global Market Intelligence team focuses on understanding client business needs and identifying how our products can deliver maximum value. Our collaborative environment emphasizes problem-solving across technical implementation, configuration, and client training. We play a critical role in supporting S&P GMI's growth, client satisfaction, and long-term retention through effective issue resolution and strategic client partnerships. Responsibilities and Impact: • Serve as the primary technical liaison for large and strategic accounts, understanding their business needs and identifying optimal S&P Global Market Intelligence product solutions, • Lead technical implementation projects including hardware and software configuration, ensuring seamless product installation and onboarding experiences, • Design and deliver comprehensive client training sessions and technical presentations to maximize product adoption and user proficiency, • Provide ongoing technical support and troubleshooting for a wide range of product-related issues, ensuring high client satisfaction and retention, • Mentor and guide team members in their professional development, sharing technical expertise and best practices across the organization, • Travel to client sites as required to provide hands-on support, conduct training sessions, and strengthen strategic relationshipsWhat We're Looking For: Basic Required Qualifications: • 7+ years of experience as a Solutions Architect, Product Specialist, or similar client-facing technical role with demonstrated success in managing strategic accounts, • Bachelor's degree in Finance, Accounting, Economics, Business, or a related field from an accredited institution, • Experience working with financial data platforms such as Compustat, Capital IQ, SNL, IHS, Trucost, ClariFI, or other industry-leading data solutions, • Proficiency in SQL or database query languages, and familiarity with programming languages such as Python, R, or similar analytical tools, • Excellent written and verbal communication skills with ability to deliver effective client training sessions and technical presentations, • Demonstrated leadership experience providing mentorship and guidance to team members, supporting their professional development and fostering collaborative environmentsAdditional Preferred Qualifications:, • Fluency in European languages, with French strongly preferred, • Advanced experience with data visualization tools such as Tableau, Power BI, or similar analytics platforms, • Previous experience in financial services industry with understanding of investment workflows and market data requirements, • Track record of driving revenue growth through technical solution positioning and client relationship expansion About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: • Health & Wellness: Health care coverage designed for the mind and body., • Flexible Downtime: Generous time off helps keep you energized for your time on., • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills., • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs., • Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to:" "and your request will be forwarded to the appropriate person." US Candidates Only: Know Your Rights: Workplace discrimination is illegal 20 - Professional (EEO-2 Job Categories-United States of America), PDMGDV202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. We are looking for the Senior Perception Engineer - Spatial Intelligence to join our team based in London, UK. What You'll Do • Architect the spatial intelligence layer that unifies 3D geometry with semantic scene understanding to ensure safe and efficient navigation and locomotion in complex environments, • Develop advanced 3D spatial reasoning capabilities that provide our robots with long-term persistent spatial memory and a deep contextual awareness of their surroundings., • Own the entire perception lifecycle by training large-scale multimodal networks and deploying and integerating them for ultra-low latency performance on edge hardware, • Bridge the gap between conceptual research and physical reality by implementing state-of-the-art 3D representations that track and interpret the environment state, • Collaborate with cross-functional teams to bridge the gap between large-scale model training and reliable robot integration., • Stay ahead of the field, rapidly evaluate new model architectures, benchmarks, and datasets to guide our embodied AI roadmap What We're Looking For • Exceptional software engineering skills with a proven track record of shipping complex ML systems into production., • Strong background in 3D scene understanding and the design of efficient spatial data structures., • Deep experience in machine learning for vision or embodied AI, ideally with large models (VLMs, transformers, or multi-modal architectures)., • Proficiency in PyTorch and hands-on experience building, fine-tuning, and deploying large-scale ML systems., • High-impact individual contributor capable of taking projects from conceptual research to high-performance robot code., • Comfortable working in a fast-moving, research-driven environment with evolving models, data, and tools. What We Offer • Meaningful time off to rest and recharge: 23 days of annual leave (accrued), separate sick leave, and paid bank holidays and company holidays., • Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support., • Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings., • Free daily breakfast, catered lunch, and snacks in‑office., • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics., • Freedom to influence the product and own key initiatives.

Full-Stack Engineer Location: London (Hybrid) Salary: Up to £80,000 + benefits We have partnered with a well-funded, founder-led technology startup operating in the sports and media space, building next-generation systems for processing and analysing live content in real time. As the platform scales, they’re hiring a Full-Stack Engineer to design and deliver high-performance systems across real-time data pipelines, modern frontend applications, and AI-enhanced product features. What You'll Do as a Full-Stack Engineer: • Design and build resilient, high-throughput backend services in Java that power the movement of data across millions of sporting events each year., • Architect and maintain real-time event-driven data pipelines and streaming systems at scale., • Own cloud-native infrastructure decisions, working across serverless and containerised environments to deploy and operate production-grade distributed systems., • Take end-to-end ownership of real-time video and data delivery across our digital content platform., • Build and maintain frontend interfaces in TypeScript/React as needed, internal tooling means this is a lighter, cross-functional responsibility., • Integrate LLM APIs and AI-powered workflows into product functionality, and leverage AI coding assistants to accelerate development., • Collaborate closely with a small, high-trust team to ship and iterate quickly. Core Technology Stack: • Backend: Java, distributed messaging systems, relational databases, Docker, infrastructure as code, • Frontend: TypeScript, modern JavaScript frameworks, • Infrastructure: Cloud-native serverless and containerised environments, • AI Tooling: Regular use of AI-powered development tools and coding assistants What We’re Looking For in a Full-Stack Engineer: • A polyglot engineering mindset with the ability to work across multiple languages and systems., • Strong experience building backend services and distributed systems., • Ability to read, understand, and contribute to Java-based systems., • Frontend experience with modern frameworks such as React, Vue, Svelte, or similar technologies., • Hands-on experience integrating LLM APIs from leading providers., • Regular use of AI tools and coding assistants to increase development velocity and automate workflows., • Strong engineering fundamentals including testing, documentation, security, and performance optimisation., • Comfort working in fast-moving environments where ownership, clarity, and delivery are expected. Nice to Have’s as a Full-Stack Engineer: • Experience in sports technology, live event data systems, or digital media platforms., • Exposure to streaming technologies or real-time data processing frameworks., • Strong experience designing data architectures and large-scale distributed systems. This is a rare opportunity for a Full-Stack Engineer to help shape a real-time digital platform from an early stage, working with modern cloud infrastructure and AI-augmented engineering workflows to deliver high-impact systems.

We are seeking an exceptional C++ Engineer to join one of the world's most advanced high-frequency trading firms. This is a rare opportunity to work at the intersection of cutting-edge technology and global financial markets, where performance is measured in nanoseconds and innovation drives competitive advantage. You'll be part of a team that designs and builds ultra-low latency trading systems deployed across global exchanges. Your work will directly impact trading performance, and you'll be empowered to push the boundaries of what's possible in software and hardware optimisation. Key Responsibilities • Architect and implement high-performance C++ systems with extreme latency sensitivity., • Optimise every layer of the stack - from CPU cache and memory allocation to kernel bypass and network I/O., • Collaborate with traders, quants, and infrastructure engineers to deliver robust, scalable, and lightning-fast trading solutions., • Profile, benchmark, and tune systems using advanced tooling and custom diagnostics., • Contribute to the design of proprietary protocols, lock-free data structures, and real-time analytics pipelines. Ideal Candidate • Expert-level proficiency in modern C++, with a deep understanding of low-level systems programming., • Strong grasp of computer architecture, concurrency, and performance engineering., • Experience with kernel bypass technologies (e.g., DPDK, Solarflare/OpenOnload) and high-performance networking., • Familiarity with Linux internals, NUMA, CPU affinity, and custom memory management., • Proven track record of building latency-critical systems in trading, gaming, or telecom environments., • Bonus: Experience with FPGA acceleration, RDMA, or custom NIC firmware. Why Apply? • Work with some of the fastest systems and smartest minds in the industry., • Direct impact on trading performance and strategy execution., • Access to bespoke infrastructure, bleeding-edge hardware, and proprietary tooling., • Culture of excellence: flat structure, minimal bureaucracy, and relentless focus on performance., • Compensation at the top end of the market, with significant upside tied to impact. Apply Now!

Senior Architect (AWS Cloud) London - Hybrid Permanent - Full time Up to £110,000 + Annual Bonus Imagine collaborating with the biggest names in media & entertainment, building the infrastructure that delivers content to millions. Your work will directly impact how people experience their favorite shows, movies, and games. Sound good to you? In an Agile setting, you will collaborate with development teams and clients as a Senior Cloud Architect to produce cutting-edge software. During this exciting and dynamic stage of their journey, you will play a key role in shaping our clients' projects as well as the overall structure of the company. They offer flexibility and freedom in return for passion and commitment. Senior Architect Responsibilities: • Collaborate closely with our development teams to provide cutting-edge services and software., • Develop strong bonds with stakeholders at all levels, listen to and share expertise, coach and Inspire team members, and establish yourself as a reliable partner., • Collaborate with Sales/Pre-sales teams, • Discover new technologies, create patterns and procedures, and introduce them as necessary. Senior Architect Skills: • Significant background a practical knowledge of AWS Cloud., • A software Development background, • Experience working with Data/AI Technologies, • Familiarity with Agile and Continuous Delivery techniques, • A thorough comprehension of resilience, scalability, and security, • The capacity to recognise issues, find solutions, and operate with little direction or assistance a natural interest in new technologies, • Experience in the media and telecommunications would be a bonus If you think you would be a great fit, apply now! 5V Video is acting as an Employment Agency for the purposes of this job vacancy. We offer a reward scheme if you can recommend someone for this position, up to £250 for you and an additional £250 to a charity of your choice, 5V Video is recognised talent solutions expert within IoT and Deep Tech working across Europe, the UK, and North America.

About the Role: Grade Level (for internal use): 13 About the Role: The Team: The Software Application Architect - Content Platforms & Platform Services will play a pivotal role in our strategic transformation from product to platform-centric cloud software engineering. These efforts are occurring within the broader context of major strategic initiatives to extend our market leadership and build next-generation software platforms as we pivot to a platform company. Responsibilities and Impact: As Director of Architecture, you will work closely with Content Platforms, Platform Services, Product Management, Business Stakeholders and Technology teams on the core of the SPGlobal technologies. • Lead architectural design and implementation of next-generation cloud-based content platforms, including Content Creation, Newsletter platforms, Real-time news platforms, and Price Reporting systems as part of S&P Global's strategic transformation to a platform-centric company, • Partner with Technology, Product Management, and Business Stakeholders to analyze business strategy and translate requirements into scalable, serverless cloud architectures using AWS services, • Design and build application and technology architecture concepts, creating comprehensive architecture artifacts while establishing project scope, estimates, and deliverable timeframes for business case development, • Drive modernization of existing platforms through architectural improvements, integration solutions, and optimization of object-oriented software engineering methodologies, • Lead cross-functional technical activities involving database, networking, development, and operations teams to ensure seamless integration across authentication, content creation, archiving, publishing, and delivery systems, • Champion enterprise reference architectures and development standards, mentoring teams on best practices while balancing business priorities with technical requirements in a fast-paced, innovative environment What W e're L ooking F or : Basic Required Qualifications: • Bachelor's degree in Computer Science , Software Engineering, or related technical field, or equivalent professional experience in software architecture and development, • 12+ years of overall software development experience with at least 3+ years in high-level architecture design and implementation, • Expert-level proficiency in a Java based or open-source ecosystem, with strong experience in building enterprise-scale applications and microservices architectures, • Proven experience designing and implementing cloud-native architectures using AWS services such as Lambda, EC2, S3, RDS, API Gateway, and CloudFormation, • Strong background in database technologies, including both relational and NoSQL database solutions for enterprise applications, • Experience with containerization and orchestration technologies, along with CI/CD platforms for automated deployment and integration, • Experience with big data processing frameworks and distributed computing technologies for handling large-scale data workloads, • Demonstrated ability to collaborate effectively with cross-functional teams, including product management, business stakeholders, and development teams in an Agile environment, • Strong analytical and problem-solving skills with the ability to architect scalable solutions that meet both current and future business requirements Additional Preferred Qualifications:, • Master's degree in Computer Science , Software Engineering, or related technical field, • Experience with advanced AWS services such as EKS, ECS, Step Functions, or serverless architectures for complex enterprise solutions, • Background in financial services, capital markets, commodity markets , or regulatory technology with an understanding of industry-specific requirements and compliance standards, • Experience leading technical teams or mentoring senior developers in architecture best practices and design patterns What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: • Health & Wellness: Health care coverage designed for the mind and body., • Flexible Downtime: Generous time off helps keep you energized for your time on., • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills., • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs., • Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to:" "and your request will be forwarded to the appropriate person." US Candidates Only: Know Your Rights: Workplace discrimination is illegal 10 - Officials or Managers (EEO-2 Job Categories-United States of America), IFTECH103.2 - Middle Management Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)

Osmosis is an asset management business in what we would argue is the most exciting area of the market - sustainable investing. Our mission is to provide investors with investment solutions that target better risk-adjusted returns while mitigating the environmental impact of their portfolios. Our growth is a testament to the team we have built and the results we have delivered. About Osmosis Osmosis launched in 2009 and is majority owned by management and employees. The company is headquartered in London with a presence in the US and a growing presence in Australia. Osmosis a market leading sustainable asset manager is rebuilding the investment stack from the ground up. As we scale into a next-generation environmental asset manager, we are designing a proprietary data and AI platform that transforms how sustainability data is captured, validated, and used in real investment decisions. We are at an inflection point. The firm is evolving from a traditional asset manager into a technology-enabled investment platform. The systems we build now will define how we scale, differentiate the firm and further develop and protect our IP advantage. Job Overview: We're looking for a software developer to join the team that builds and operates our environmental, fundamental and market data platform — from ingestion and extraction through to the tools our analysts and clients use every day. Someone who understands the needs of the business/teams and transforms them into solutions is a key attribute. You will help architect and build the core system that sits between global capital and real-world environmental outcomes, combining financial data, unstructured disclosures, and AI-driven insight into a single operating platform. You won't be pigeonholed into "backend" or "frontend" but will work across the stack, including: • building pipelines between financial data vendors (eg Bloomberg, Factset) and our data platforms, • building processing pipelines that extract structured data from messy real-world documents, • evolving the web application our research team relies on, and improving the infrastructure that ties it all together., • building apps that connect to quantitative research tools, • building tools and analytics within (often powered by data hosted on Snowflake), • developing multi-agentic frameworks Core responsibilities will include: • Web application — Building and extending our internal platform used daily by research analysts to manage companies, fields, and extracted data, • Cloud infrastructure — Deploying and managing Azure resources using Infrastructure as Code, keeping environments reproducible and costs under control, • Integration & orchestration — Designing queue-based microservices that coordinate work across the platform reliably and at scale, • Data quality — Building validation, confidence scoring, and tooling that helps the team trust the data we produce, • Structured data pipelines – ETL on structured financial data and building downstream data models on common platforms such as Snowflake, • Data extraction pipelines — Processing sustainability reports and financial disclosures using Azure AI services (Document Intelligence, OpenAI) to turn unstructured PDFs into structured, validated data, • Maintenance – management and maintenance of the tech stack and applications., • AI integration – experience in working with AI tools and the associated security and risk elements, • Managing outsourced IT function – knowledge IT security Our Tech Stack: • Languages: C# (.NET), Python, • Frontend: Blazor (server-side), Radzen components, Javascript, • Backend: Azure Functions (C# and Python), queue-driven microservices, • AI/ML: Azure OpenAI, Azure Document Intelligence, embedding-based search, Langraph, Hugging Face, experience interacting with LLMs, • Data: Azure SQL, Entity Framework Core, Azure Blob Storage, Snowflake, dbt, • Infrastructure: Bicep (IaC), Azure DevOps pipelines, Docker, Application Insights, • Practices: Trunk-based development, CI/CD, infrastructure as code, automated testing Skills: • Solid experience building and shipping software professionally, • Comfortable working across the full stack — you don't need to be an expert in everything, but you're not afraid to jump into unfamiliar territory, • Experience with cloud platforms, ideally Azure (Functions, Storage, SQL, identity), • Highly proficient in Python, • Familiarity with Django, • Preferably API dev experience (eg FastAPI), • Familiarity with C# (ideally both, but strong in one with willingness to learn the other works), • Snowflake experience, • Experience with AI/ML services, LLM integration, or document processing, • Ideally some data modelling experience, eg dbt, • A DevOps mindset — you care about how your code gets built, tested, deployed, and monitored, not just how it runs on your machine, • Good knowledge around data modelling, API design, and system boundaries, • Strong knowledge of financial data, • Familiarity with ESG, or sustainability reporting frameworks, • Clear communication — we're a small team where everyone talks to everyone, • Experience working in small, fast-moving teams where you wear multiple hats, • Knowledge of Langgraph is desirable, • Infrastructure as Code (Bicep, Terraform, or similar), is desirable, • Proactive., • Excellent attention to detail., • Good communication skills Osmosis recognises the positive value of diversity and aims to promote equality and challenge unfair discrimination. As a champion of equal opportunity employment, we welcome applications from all suitably qualified persons – people of all ages, sexual orientations, backgrounds, religions, and beliefs. We particularly encourage applications from women, disabled, and Black, Asian and minority ethnic candidates as these groups are underrepresented throughout the financial services industry.

MS Copilot Architect Canary Wharf, UK Long Term contract Inside IR35 Job Purpose: The Copilot Solutions Architect is responsible for designing, architecting, and delivering Microsoft Copilot-enabled solutions. This role bridges business requirements with technical implementation, ensuring secure, scalable, and value-driven Copilot deployments across Microsoft 365. This role involves collaborating with cross-functional teams to understand business requirements, providing technical leadership, and ensuring designs meet our architectural principles and security and data standards. Key Responsibilities: • Design and architect Copilot solutions within Microsoft 365 based on technical and business requirements., • Author High Level Solution Designs, Solutions Overviews and Conceptual Architectures., • Development of guardrails and policies around Copilot integration with applications and services., • Provide technical guidance, documentation, and deployment best practices., • Support rollout, issue resolution, and transition to steady-state operations. Required Skills and Experience: • Proven knowledge of Microsoft Copilot and the Microsoft 365 ecosystem., • Experience developing and delivering solutions., • Ability to communicate solutions to other stakeholders, • Good knowledge of Risk management, • Work closely with other architecture disciplines including Enterprise, Infrastructure and Security, as well Engineering, Operations, and Digital Workplace., • Provide technical guidance to team members and stakeholders., • Ability to deal with ambiguity and manage diversity., • Share knowledge with the team and contribute to the organization's learning culture., • Excellent communication and interpersonal skills