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About Us: We’re a VC-backed stealth-mode company building behavioural AI solutions for the retail industry. Our platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience. Role: We’re looking for experienced Backend, Full Stack and Platform Engineers to work closely with product, design, mobile, and machine learning team members to design & build experiences that re-define in-store shopping. You'll help build engaging & intuitive app experiences and the event-driven & real-time backend services that power them. You’ll work across our platform, real-time data flows and APIs on a platform designed for scale & flexibility. Responsibilities: • Encourage the adoption of AI-assisted product and software development workflows throughout the company, • Contribute to distributed, event-driven backend services connecting our web experience with information from remote devices and external data sources., • Model and manage structured and semi-structured data across storage layers, • Integrate AI-driven personalisation and real-time insights into user flows, • Contribute to overall system design: service boundaries, data ownership, scaling, and observability Essential Qualifications: • AI-Native development: use AI tools such as CoPilot or Cursor as a collaborator and accelerator of development, • Built modern full-stack applications w/ focus on backend (e.g. Python, Java, Go), • Worked with a variety of storage technologies (e.g. Postgres, Mongo, Redis, Object), • Experience with async and bi-directional communication protocols and patterns (eg. WebSockets, SSE), • Designed and implemented event-driven distributed systems (e.g. Kafka, Pulsar, RabbitMQ, MQTT, or similar), • Experience with container orchestration and service containerisation (Kubernetes, Docker), • Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) Nice to Have: • Experience in web or Android development (e.g. Javascript, Typescript, React.js, Kotlin), • Worked with real-time data collection and/or processing, • Worked in an IoT or Edge-oriented architectures, • Experience or knowledge in retail POS, inventory, or loyalty systems

Lead AI Engineer Tech Focus: Agentic AI / Agent Orchestration / Data Science / LLM / Gen AI Salary: Circa £100,000 + 20% Bonus + 20% Employer Pension Contribution Location: London – Hybrid This is an exciting opportunity for a Lead AI Engineer to join a prestigious financial organisation as they launch a major AI initiative. Having completed their digital and data transformation programme, the organisation now operates fully in Azure Cloud and is making significant strides in AI adoption. They’ve built an AI platform designed to improve efficiency for both internal and external facing users. This is a hands-on technical leadership role. You’ll lead projects and mentor engineers while actively developing Azure-native agent frameworks and building team-specific AI applications that deliver business outcomes. You’ll work in a cross-functional team alongside an AI Engineering Manager, Architect, DevOps Engineers, AI Test Lead, Data Scientists, and Project Managers. What we’re looking for: • Hands-on AI development experience in a cloud environment (Open to all platforms), • Proven experience in a senior/ lead (technical leadership and project ownership), • Practical experience with Large Language Models (LLMs) in production environments, • Experience with Agentic AI/Agent Orchestration and building frameworks that have delivered business outcomes, • Strong coding skills in Python and SQL Desirable: • Background in Data Science, • Light front-end development, for example being able to create internal web applications If you’re passionate about building practical AI solutions and want to work in a collaborative environment that takes AI seriously, please apply directly and we’ll be in touch with more details.

Front End Engineer / Developer (TypeScript React Native AI) London / WFH to £80k Want to work on intellectually and technically challenging AI systems at the cutting edge of what is possible, whilst learning and collaborating with an amazing team and enjoying flexible working and a range of other perks? You could be progressing your career as a Front End Developer at a well-established AI company acting as tech incubator within the World Economic Forum to tackle issues like climate change, AI, battery technology and other real world problems. What's in it for you: • Salary to £80k, • Bonus, • Pension, • Healthcare, • Work with the latest cutting-edge AI technologies, • Excellent training and career development opportunities Your role: As a Front End Engineer you'll design and develop new features and enhancements on the core product that uses Artificial Intelligence to harness knowledge for strategic advantage. You'll work alongside a talented team contributing ideas, collaborating with designers and prototyping new features. There's a modern tech stack, you'll be mainly using JavaScript / TypeScript and React but will be able to pick new technologies and skills up on the job. Location / WFH: You'll be joining a friendly and supportive team in London with flexibility to work from home one day a week. About you: • You are degree educated in Computer Science, from a top tier university (e.g. Russel Group, Oxbridge), • You have Typescript experience combined with strong React and React Native skills, • You're proficient with HTML5 and CSS3, • You have experience of responsive design for desktop and mobile, • You're keen to work in a start-up environment, • You have excellent communication and collaboration skills, • You are a passionate technologist, keep up to date with the latest innovations and learn new things, • You have solid knowledge of software engineering principles, Agile practices, CI/CD and ideally have experience within a cloud environment (AWS preferred), • You are a bright, proactive individual and a strong problem solver with commercial acumen Apply now to find out more about this Front End Engineer / Developer (TypeScript React Native AI) role. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

Role – Data Platform Architect Technology – Snowflake, SQL Server, Power BI, Azure, Confluent Location – London, UK Job Description We are seeking a seasoned Platform Lead to architect and manage enterprise data platforms across cloud and on-prem environments. The role demands deep expertise in Snowflake, SQL Server, Power BI, Azure, and Confluent technologies. You will lead platform strategy, administration, and integration to support scalable analytics and data engineering solutions. Responsibilities include performance optimization, governance, automation, and enabling secure, reliable data flows. This role requires strong leadership, cross-functional collaboration, and hands-on technical proficiency. Your role As a Platform Lead, you will be responsible for architecting, managing, and optimizing enterprise data and analytics platforms across cloud and on-prem environments. You will lead platform strategy and operations for technologies including Snowflake, SQL Server, Power BI, Azure, and Confluent, ensuring high availability, performance, and scalability. You will collaborate with cross-functional teams to design and implement platform solutions that support data engineering, analytics, and business intelligence initiatives. Your role will involve hands-on administration, automation, monitoring, and governance of platform components, while also driving integration across data pipelines, storage layers, and visualization tools. As a senior leader, you will guide platform modernization efforts, enforce security and compliance standards, and support DevOps/DataOps practices. You will participate in architecture reviews, mentor platform engineers, and contribute to building capability across the organization. Your work will enable seamless data flow, empower analytics teams, and support strategic decision-making by ensuring a robust, secure, and scalable data platform foundation. Responsibilities -Lead platform architecture and administration across Snowflake, SQL Server, Power BI, Azure, and Confluent. -Design and implement scalable, secure, and high-performing data platform solutions. -Collaborate with engineering, analytics, and business teams to align platform capabilities with business needs. -Ensure platform reliability, performance tuning, and cost optimization. -Drive automation, monitoring, and CI/CD integration for platform components. -Enforce data governance, security, and compliance standards. -Mentor and guide platform engineers and administrators. Required -Proven experience in administering and architecting Snowflake, SQL Server, Power BI, Azure, and Confluent platforms. -Strong understanding of cloud infrastructure, data integration, and analytics workflows. -Hands-on experience with platform monitoring, automation, and DevOps tools. -Knowledge of data governance, security, and compliance frameworks. -Excellent communication and leadership skills. -Experience in managing hybrid environments (on-prem and cloud). Personal Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include: -High analytical skills -A high degree of initiative and flexibility -High customer orientation -High quality awareness -Excellent verbal and written communication skills Why Infosys Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. “All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.” “By applying via Easy Apply option you confirm you have read, and you accept Infosys Data Privacy notice for the country of the job posting. Please see the relevant Data Privacy Notice under the link: ___.”

Role : Senior Full Stack Engineer (I) Reporting To : Chief Product Officer Salary : £70,000 - £90,000 dependent on experience Working Location : Hybrid/ London (2 days a week on site at our Old Street office) PropTech | SaaS | Software Development 🏢 About Searchland Searchland is a high-growth, B2B prop-tech company transforming how businesses and individuals access and leverage property data. Our platform empowers property developers, land agents, architects, and planners with real-time insights, helping them make smarter, data-driven decisions when acquiring and developing land. In just five years, we’ve built one of the UK’s most advanced property data pipelines, integrating thousands of data sources and processing terabytes of information with less than 24-hour latency. Our cutting-edge platform is shaping the future of property intelligence 👩🏽 About the Role We’re looking for a skilled Senior Full-Stack Engineer to join our lean and fast-moving team. This is a development-focused role where you’ll take ownership of bringing ideas to life - writing clean, reliable code and shipping high-quality features across the stack. You’ll work on everything from building performant frontends to designing scalable backend APIs and managing database architecture. While product thinking is always welcome, your primary focus will be on turning technical requirements into production-ready solutions. 🎯 What You’ll Do • Design, build, and maintain full-stack features across the platform, • Develop performant and accessible front-end components using React (Vite) + Tailwind CSS, • Build scalable and type-safe APIs with tRPC running on Node.js/Express, • Model and query relational and search-optimized data using PostgreSQL and Elasticsearch, • Contribute to backend architecture, performance tuning, and refactoring work, • Collaborate with technical and non-technical teammates to clarify requirements and break down work, • Own implementation from development through to deployment and monitoring 🌟 You Are You’re a hands-on engineer who enjoys solving real-world problems through clean, pragmatic code. You’re comfortable wearing many hats and enjoy the variety and pace of startup life. You don’t wait for instruction - you look for opportunities to add value and move things forward. You likely bring the folloqing • A track record of shipping and supporting features end-to-end, ideally within lean or startup environments, • Confidence working across the full stack and willingness to dive into new areas when needed, • Clear communication and the ability to work autonomously, • Experience working in a small team or solo engineering set up 🎯 Essential Experience • Right to work in the UK, • 5+ years experience leading software development for a SaaS platform, • Proven experience with our stack (or strong adjacent experience and the ability to ramp up quickly), • Frontend : React (Vite),Tailwind, • Backend : Node.js, Express, tRPC, • Database : PostgreSQL, ElasticSearch ➕ Desired Experience • Previous experience in PropTech and/or start up environments, • Understanding of the UK property/construction market would be a huge plus 🤝 Interview Process • Initial introductory call with our HR team., • A technical task stage before a 45 minute interview with one of our Senior SoftwareEngineers., • Final stage interview with our CTO 🌱 Why Join Us? • Hybrid working: 2 days a week in our Old Street Office, • Compensation : Competitive salary, salary sacrifice pension scheme, EMI Scheme, • Time off & wellbeing: 25 days holiday + bank holidays, birthday off, Christmas shutdown, HealthShield cash plan including dental, • Growth & development: mentoring, clear progression paths, £500 annual personal growth fund, • Tools & perks: MacBook and a home office contribution, • Culture: monthly socials, team lunches, bake-offs, 3 Peaks challenge, and company trips abroad when targets are hit 🌍 Our Commitment to Inclusion We are committed to creating an inclusive and diverse workplace where everyone feels valued and empowered to thrive. We welcome applications from all backgrounds, regardless of race, ethnicity, gender, sexual orientation, disability, age, religion, or any other characteristic. If you require any adjustments during the recruitment process, please let us know—we are happy to support you.

The Opportunity A pre-seed, founder-led startup is seeking a Founding Engineer to build the "Agentic Financial Ops" layer for the global fintech market. While others build simple chatbots, this stealth-mode venture is embedding autonomous AI agents directly into major B2B platforms—automating invoicing, bill pay, and payroll for SMBs. This is an opportunity to join at the ground floor of a company targeting a $100B market shift. What you will build: • The Engine: A white-label, API-first, multi-tenant system designed to embed cleanly and securely into partner ecosystems., • The Intelligence: You aren’t just calling APIs; you are treating LLMs as infrastructure. You will build agentic workflows that handle complex financial operations autonomously., • The Foundation: You will replace the founder’s initial "vibe-coded" prototype with a robust, production-ready architecture. You decide the stack; you set the engineering culture. The Founders: • The Commercial Engine: A domain experts and "straight talkers" (formerly VPsat a successful embedded finance scale-up). They have already secured signed contracts across the UK, US, and Europe—and early revenue—before the API is even live. They bring the pipeline, the deep market knowledge, and the capital; you bring the product. The Role This is not a ticket-taking role at a stagnant SaaS. This is a Decide + Build + Own seat where you sit directly beside the founder. • Zero to One: Take the product from MVP concept to Production., • Full Ownership: Build the core platform end-to-end (Backend, APIs, Frontend)., • Architecture: Design for security, permissions, and scale from day one., • Speed: Iterate fast with real customers. The goal is to launch the API in Q2. The Profile • Mindset: Scrappy, high-growth, and product-minded. You care deeply about why a feature exists, not just how it’s built., • Experience: A Senior Engineer (Backend-leaning or Full-stack) who has shipped early-stage products into production., • Tech: Hands-on experience with LLMs & agentic workflows. You are pragmatic about tech choices that optimize for speed and correctness. The Offer Salary £95k–£120k + Significant Founding Equity.

Job Title: AI Researcher Location: Cambridge or London, UK This is a permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human preferences, ensuring they are safe, controllable, and capable of producing high-quality outputs across multiple modalities. You’ll sit at the intersection of RL, LLMs, and generative modelling, helping us build the next generation of foundation models Responsibilities: Develop and refine RLHF algorithms for large language and generative models. Research and implement deep reinforcement learning methods (policy gradients, actor-critic, off-policy learning) for model alignment. Train, fine-tune, and evaluate LLMs and diffusion models at scale. Design experiments to align generative outputs with human and organisational preferences. Collaborate with researchers, engineers, and human feedback teams to build scalable alignment pipelines. Publish findings in top-tier AI conferences and contribute to open-source frameworks. Key Requirements: PhD in Computer Science, Machine Learning, or related field. Publications at NeurIPS, ICML, ICLR, ACL, or related venues. Deep expertise in Reinforcement Learning (policy optimisation, reward modelling, RLHF). Hands-on experience training/fine-tuning generative models (LLMs, diffusion, transformers, GANs). Strong knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow). Proficiency in Python and standard ML libraries. Solid foundations in probability, optimisation, and statistics. Experience working with large-scale distributed training on GPUs/TPUs. If this sounds of interest, please reach out to

AdvisoryAI is building the AI co-pilot that's transforming wealth management. We automate the tedious middle-office work that buries financial advisors, freeing them to focus on what matters: their clients. Founded by Entrepreneur First alumni, we've scaled to thousands of daily active users and are currently valued at £100 million. We're raising our Series A in 2025. We need cracked Software Engineer to help us scale. You'll build the infrastructure powering the next generation of financial advice—working directly with founders, shipping fast, and capturing meaningful equity in a rocket ship company. This is your chance to join early, build something that matters, and win big. 🧑🏻‍💻 Our Current Tech • Technical stack: Ruby / Rails / Python (Backend), React (Frontend), AWS services (EC2, Lambda, RDS, S3), PostgreSQL (Database), Docker, Redis, Github actions and other continuous integration tools., • Location: UK More than just code, you'll be: • A builder: Play a pivotal role in shaping the future of financial intelligence., • A collaborator: Work alongside a passionate team of experts and fellow enthusiasts., • An innovator: Push the boundaries of what's possible with technology and financial expertise. We're looking for: In addition to the following technical skills, we are looking for PROBLEM SOLVERS with an entrepreneurial mindset. • Past experience(s) building full-stack applications (in a professional context), • Experience with cloud technologies, especially AWS, • Very comfortable with Postgres or other relational database, • Experience in building large scalable technologies (external APIs, Docker, etc.), • Experience in building a product from 0 to production., • Autonomous in your work, proactive while working with cross-functional team to build creative solutions, • Preferably with prior experience in a high-velocity startup environment Our values We’re a small team with big dreams - and the culture we create is just as important to us as the product we’re building. 📈 Growth oriented Slope y intercept. We invest in people and growth as the company grows. 💚 Humility Everyone has a lot to give and a lot to learn. Egos are not allowed. 🌟 Customer focused We love our customers. We make decisions by focusing relentlessly on them - and accept if this means changing our ideas. Customer success is our success. 💡 Intellectual honesty We believe in creating an environment where the best ideas win and acknowledging when we are wrong. 👾 Hack to success We move fast and take big swings. We always aim for a solution that addresses 80% of the problem in 20% of the time. We make educated bets, launch MVPs, and iterate. 🔥 Having fun Be unapologetically you! We love our game-nights, ping pong tournaments, bufo emojis, and cow jokes. Company Benefits Not sold yet? Check out some benefits you’ll have access to as well: 🧧 Competitive compensation and equity ✈️ Flexible work culture 🌻 Unlimited days paid time off every year 🍱 Free lunch and dinners 💻 $700/year work setup stipend 🌴 Annual team offsite 🌿 Unlimited snacks and caffeine (because brilliant ideas need fuel).

Travel & Aviation Technology - C++ - Flight Management Systems A global leader in travel and aviation technology is seeking a skilled C++ Engineer to join their Flight Management System (FMS) engineering team in London. This group builds mission-critical software used by airlines worldwide - powering real-time flight operations, route optimisation, and next-generation cockpit intelligence. You’ll work on high-performance, multi-threaded systems that directly impact global aviation efficiency, fuel optimisation, and safety -contributing to one of the most advanced FMS platforms in the industry. Responsibilities • Design and develop C++ applications for core Flight Management System components, • Work on real-time data processing for flight planning, scheduling, and air traffic control integration, • Implement and optimise algorithms for fuel efficiency, route optimisation, and aircraft performance modelling, • Contribute to multi-threaded, high-performance architectures used in large-scale airline operations, • Collaborate with system architects, engineers, and aviation domain specialists to enhance FMS capabilities, • Perform code reviews, debugging, unit testing, and performance tuning, • Support the evolution of cloud-enabled and AI-driven features within the FMS ecosystem Required Skills • Strong proficiency in C++ (C++11/14/17)., • Experience in multithreading, memory management, and performance optimization., • Solid understanding of software development life cycle (SDLC) and best coding practices., • Experience working with Linux-based development environments., • Strong problem-solving and analytical skills with a passion for aviation technology., • Good understanding of networking protocols and distributed systems is a plus.

🤖 Junior AI Engineer (0–2 years) | Competitive Salary | London & Luton | Hybrid Working 🚀 Are you a Junior AI Engineer looking to kick-start your career working on real-world machine learning systems used at scale? We’re looking for a curious and motivated Junior AI Engineer to join a collaborative, data-driven technology team, working in a flexible hybrid setup with offices in London and Luton. This role is ideal for someone early in their career who’s excited about applied AI, enjoys building things that go into production, and wants to learn from experienced engineers in a fast-moving environment. You’ll be part of a modern engineering function working on large-scale data and AI products, contributing to model development, data pipelines, and deployment workflows that power mission-critical platforms. 🔍 In this role, you’ll: 🤖 Build, train, and evaluate machine learning models using Python 📊 Work with large, complex datasets to support AI-driven products and insights 🧠 Assist with feature engineering, model experimentation, and performance optimisation ☁️ Contribute to data and ML pipelines in cloud-based environments 🗄 Work with structured and semi-structured data using SQL 🚀 Support the deployment and monitoring of models in production environments 🤝 Collaborate closely with data engineers, software engineers, and product teams 📐 Help maintain best practices around testing, documentation, and reproducibility 🌟 What’s in it for you? 📈 Career Development – Hands-on experience, mentorship from senior AI and data engineers, and clear progression paths 💡 Learning Culture – A team that encourages curiosity, experimentation, and continuous improvement 🏢 Hybrid Working – A flexible mix of remote work and time in London and Luton offices 🌍 Real-World Impact – Work on AI systems used by global customers at scale 💰 Competitive Package – Salary and benefits based on experience, including bonus, pension, and generous annual leave ✅ What we’re looking for: 🎓 A degree in Computer Science, AI, Data Science, Mathematics, Engineering, or a related field 💼 0–2 years of experience in AI, machine learning, or software/data engineering (including internships, placements, or academic projects) 🐍 Strong Python skills for ML and data processing 🗄 Experience working with SQL and structured datasets ☁️ Familiarity with cloud platforms and modern data stacks 🧠 A solid understanding of machine learning fundamentals and data workflows 💬 Strong communication skills and a collaborative mindset ⭐ Big bonus points for: ❄️ Experience with Snowflake 🧱 Experience with Databricks ⚙️ Exposure to ML pipelines, MLOps, or production ML systems If you’re excited about building AI systems, learning fast, and growing your career in a supportive, high-impact environment, we’d love to hear from you. 👉 Apply now and take the next step in your AI engineering career.

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,500+, and has 60 offices in 20 countries within key global markets. Ourchallenge: We are seeking an experienced OpenShift Architecture and Migration Design Specialist to lead the design, planning, and execution of OpenShift architectures and migration strategies. The ideal candidate will have expertise in designing robust, scalable, and secure OpenShift environments, as well as creating and implementing migration plans for transitioning workloads and applications to OpenShift. Experience with VMware and Pure Storage is essential to ensure seamless integration with existing infrastructure. Key Responsibilities: • Architecture Design: Design the target architecture for OpenShift, including cluster topology, networking, and storage solutions. Define and implement best practices for OpenShift cluster setup, including multi-zone and multi-region deployments. Ensure the architecture supports high availability, fault tolerance, and disaster recovery., • Migration Design and Optimization: Assess existing infrastructure, applications, and workloads to determine migration readiness. Develop detailed migration plans, including strategies for containerization, workload transfer, and data migration. Implement migration processes, ensuring minimal downtime and disruption to business operations. Identify and mitigate risks associated with the migration process., • VMware and Pure Storage Integration design: Design and implement OpenShift solutions that integrate seamlessly with VMware virtualized environments. Leverage VMware tools (e.g., vSphere, vCenter, NSX) to optimize OpenShift deployments. Configure and manage Pure Storage solutions (e.g., FlashArray, FlashBlade) to provide high-performance, scalable storage for OpenShift workloads. Ensure compatibility and performance optimization between OpenShift, VMware, and Pure Storage., • CI/CD Pipelines and DevOps Workflows: Design and implement CI/CD pipelines tailored for the OpenShift environment. Integrate DevOps workflows with OpenShift-native tools and third-party solutions. Automate deployment, scaling, and monitoring processes to streamline application delivery., • Scalability and Security: Ensure the architecture and migration plans are scalable to meet future growth and workload demands. Implement security best practices, including role-based access control (RBAC), network policies, and encryption. Conduct regular security assessments and audits to maintain compliance with organizational standards., • Collaboration and Documentation: Work closely with development, DevOps, and operations teams to align architecture and migration plans with business needs. Provide detailed documentation of the architecture, migration strategies, workflows, and configurations., • Offer technical guidance and training to teams on OpenShift architecture, migration, and best practices. Required Skills and Qualifications: • Strong experience in designing and implementing OpenShift architectures and migration strategies., • In-depth knowledge of Kubernetes, containerization, and orchestration., • Expertise in VMware tools and technologies (e.g., vSphere, vCenter, NSX)., • Hands-on experience with Pure Storage solutions (e.g., FlashArray, FlashBlade)., • Expertise in networking concepts (e.g., ingress, load balancing, DNS) and storage solutions (e.g., persistent volumes, dynamic provisioning)., • Hands-on experience with CI/CD tools (e.g., Jenkins, Github, ArgoCD) and DevOps workflows., • Strong understanding of high availability, scalability, and security principles in cloud-native environments., • Proven experience in workload and application migration to OpenShift or similar platforms., • Proficiency in scripting and automation (e.g., Bash, Python, Ansible, Terraform)., • Excellent problem-solving and communication skills. Preferred Qualifications: • OpenShift certifications (e.g., Red Hat Certified Specialist in OpenShift Administration)., • Experience with multi-cluster and hybrid cloud OpenShift deployments., • Familiarity with monitoring and logging tools (e.g., oTel, Grafana, Splunk stack)., • Knowledge of OpenShift Operators and Helm charts., • Experience with large-scale migration projects. S YNECHRON’S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Data Engineer | Remote Modern Cloud Data Stack £45,000 DOE A high visibility opportunity to join an ambitious, values led organisation as it refreshes its data strategy and modernises its intelligence platform. You’ll be trusted early, work closely with stakeholders, and help build the foundations that drive better insight, smarter decisions, and genuine impact, using data for good. This role is well suited to someone early in their data engineering journey, around 2+ years’ experience, who’s ready to step up. You’ll join a supportive, encouraging environment with real runway to grow technically, while gradually developing ownership and leadership as your influence across the business increases. What you’ll be doing • Helping shape and deliver a refreshed data strategy and modern analytics platform, • Building reliable, scalable ELT/ETL pipelines into a cloud data warehouse, Snowflake, Databricks, or similar, • Designing and optimising core data models that are dimensional, analytics-ready, and built to last, • Creating trusted data products that enable self-service analytics across the organisation, • Improving data quality, monitoring, performance, and cost efficiency, • Partnering with analysts, BI teams, and non-technical stakeholders to turn questions into robust data assets, • Contributing to engineering standards, best practice, and reusable frameworks, • Supporting responsible AI tooling, including programmatic LLM workflows where appropriate What you’ll bring • 2+ years’ experience in data engineering within a modern data stack, • Strong SQL with a solid foundation in data modelling, • Python preferred, or similar, for pipeline development and automation, • Cloud experience across AWS, Azure, or GCP, • Familiarity with orchestration and analytics engineering tools such as dbt, Airflow, or equivalents, • Good habits around governance, security, documentation, version control (Git), and CI/CD The kind of person who thrives here Confident, curious, and motivated. You care about doing things properly, enjoy being trusted and visible in the business, and are genuinely interested in using data to create positive outcomes. Fully remote. No sponsorship, Post-Graduate Visa not supported. Interested? Apply now.

Autonomy & Geospatial Systems Integration Engineer Location: London, UK or Linköping, Sweden Industry: Aerospace / Defence / ISR / UAV Systems Employment Type: Full Time Overview: A leading innovator in spatial intelligence and mission-critical technology is seeking a Software Integration Engineer to join its Mission Systems team. The organisation builds advanced geospatial, AI-powered, and ISR solutions that integrate into platforms such as UAVs, edge computing systems, and defence environments. This is a hands-on, customer-facing engineering role for someone who enjoys solving complex integration challenges, working with cutting-edge sensor data, and enabling real-world impact in mission environments. You will work at the intersection of software, embedded systems, payload integration, and customer operations, supporting the deployment of next-generation spatial intelligence tools into UAV and ISR ecosystems. Key Responsibilities: • Serve as the technical lead for solution integrations involving satellite imagery, full motion video, and related sensor data into UAV visual positioning, odometry, and navigation systems., • Collaborate with UAV OEMs, defence integrators, and mission customers to support system demonstrations, prototyping, and field testing., • Conduct bench and field integration activities, including configuration of companion computers (e.g., NVIDIA Jetson, Raspberry Pi), autopilot stacks (PX4, ArduPilot), and analysis of telemetry, imagery, and navigation data., • Assess integration feasibility, including SWaP considerations and solution design, ensuring successful deployment in demanding environments., • Develop integration procedures, test plans, troubleshooting documentation, and technical guides., • Provide feedback to internal engineering teams to enhance product performance, usability, and reliability under operational conditions., • Contribute to technical materials for RFP/RFI responses and solution proposals., • Collaborate with internal product, engineering, and field teams to define interfaces, data flows, and integration paths between software products and OEM systems., • Support the technical articulation and positioning of capabilities to high-value customers. Minimum Qualifications: • Bachelor’s degree in a STEM field (Aerospace, Computer Science, Electrical/Mechanical Engineering, Mathematics) or equivalent practical experience., • Experience supporting ISR, UAS, aerospace, or defence system integrations., • Strong proficiency in Python and C++ for integration, SDK adaptation, and prototype development., • Experience with ISR-relevant imagery/video formats: GeoTIFF, MPEG-TS, KLV metadata, H.264/H.265, STANAG 4609, MISB., • Understanding of 3D terrain formats (DEM/DTED, 3D Tiles) and coordinate systems such as WGS84, UTM., • Familiarity with frameworks/tools such as OpenCV, PyTorch, GDAL, Cesium, Unity., • Practical knowledge of embedded Linux systems (Jetson, Raspberry Pi, NXP)., • Demonstrated ability to work cross-functionally across product, engineering, and field teams., • Ability to travel domestically or internationally (approx. 25%, occasionally up to 50%). Preferred Qualifications: • Master’s degree in Engineering, Computer Vision, Software Engineering, or related field., • Experience with embedded Linux tools/configurations: systemd, Yocto, Docker., • Knowledge of GNSS/INS, video odometry, or visual-inertial fusion systems., • Experience with UAV systems, including configuration, tuning, and troubleshooting with autopilot interfaces., • Familiarity with OGC geospatial standards (WMS, WMTS, WFS) and real-time streaming protocols., • Experience with data transport frameworks such as ZeroMQ, Protobuf., • Hands-on experience building or modifying companion computer architectures (Jetson, Raspberry Pi, STM32MP1)., • Background in AI/ML for computer vision, sensor fusion, or ISR analytics., • Experience performing technical feasibility assessments for mission-critical or edge-deployed systems., • Valid UK or EU security clearance is a bonus. About the Organisation: The company operates at the forefront of geospatial technology, 3D modelling, and mission-focused intelligence solutions, serving telecommunications, emergency response, defence, and intelligence customers globally. Their mission is to help operators and decision-makers understand the world in real time with highly accurate, immersive geospatial and sensor-driven insights. Application Process: To apply, please submit your CV detailing your relevant experience and qualifications for the role. Applications will be reviewed on a rolling basis, so early submissions are encouraged. Equal Opportunity Employer: We value diversity and are committed to creating an inclusive work environment. We encourage applicants from all backgrounds to apply. Contact: ___

Location: London (Paddington until April, then Tottenham court Road) + travel to partner locations in Oxford and Cambridge areas (Hybrid home /1 day per week in-office). Reports to: Chief Technology Officer (CTO) Start Date: March 2026 Employment Type: Contractual 6 months (20 hours with a possibility to go to FTE ) About Marley Health Marley Health is redefining proactive pet care through clinically validated biomarkers, wearable technology, and data-powered diagnostics. Spun out of the University of Oxford and the Royal Veterinary College, we’re building a connected ecosystem for pet health that empowers veterinarians, insurers, and pet parents alike. Why Join Us • Build a product that sets a new clinical standard in pet health., • Work alongside a mission driven, no-ego team focused on execution and excellence., • Make meaningful contributions every day – your work will directly shape our core product., • Join a fast-moving company backed by top-tier investors and world class scientific expertise., • Competitive salary + office space in London + 25 days holiday + company laptop & supporting tech + hybrid. About this role We are looking for an experienced Embedded Software Engineer to join our expanding team and contribute to the development of our sector leading wearable technology. Working closely with our hardware development partners, you will design, implement, and maintain the embedded software that controls our devices, which combine a range of biomarker sensors, wireless connectivity and signal processing algorithms. You will write efficient, modular and well-documented code and implement software updates and patches based on feedback and testing results. You will also debug and troubleshoot software to identify and resolve issues. You will liaise with our partner teams at Oxford University and the Royal Veterinary College, as part of a network of data and engineering specialists to develop our products and ensure high-quality, correctly structured data reaches the cloud for processing and machine learning. This is a technical, delivery focused role in a new, growing business. You will be a doer, comfortable with working in a highly collaborative environment that is changing rapidly and continues to be driven by university-led research to shape its final offering. You should expect to contribute beyond the day-to-day mechanics of software engineering, lending your technical and best-practice expertise and insight as needed to support Marley in achieving its goals. Technical competencies • Proficiency in programming languages such as C/C++ against a range of processor architectures, their SDKs and IDEs., • Strong understanding of embedded systems, hardware-software integration and real-time operating systems (RTOS)., • Familiarity of working with on-device development to support time-aligned data capture from multiple sensors; data transfer (BLE, WiFi, etc.); data pre-processing (e.g. Fast Fourier Transform) and filtering., • Experience of the impact of hardware (MCU) choice on device capability; able to contribute actively to evaluations of MCU option and, in particular, the balance between on-device and in-the-cloud processing capabilities., • Familiar with the use of firmware to store and manage device configuration details., • Track record in code optimisation, in particular to maximise battery life and operating in low power mode., • Knowledge of communication protocols (e.g. MQTT) and device drivers., • Familiarity with software version control (e.g. Git)., • Some exposure to Python (as applied to data manipulation)., • An understanding of cloud technologies and techniques for ingesting and pipelining data., • A self-starter who is self-motivated, proactive, and thrives in an early-stage environment., • Not afraid to roll up your sleeves – you enjoy working directly with the technology and solving real-world problems for real users., • Able to work and communicate effectively across technical and non-technical disciplines, tuning tone and content as necessary., • As a key member of the engineering interface between Marley and some of its key suppliers, a contributor to ensuring the relationship remains effective and aligned to Marley’s goals., • Ability to think strategically while straightening out the details., • Confident to state your view and share your insights but fully commits to a decision once taken., • Motivated by impact and excited to help build a truly novel product from the ground up.

About the job ___ is seeking a Solutions Engineer to support our Operations team in a fast-paced, high-performance environment. You’ll be the technical backbone bridging our product with client needs, helping scale our operations efforts and shaping how customers experience our platform. This hybrid role combines technical expertise, client-facing problem-solving, and product integration, with plenty of room to grow and shape the scope based on your strengths. You’ll play a key role in ensuring our solutions are robust, well-integrated, and tailored to our customers' needs, all while collaborating closely with Sales, Product, and Engineering in a hybrid environment that values flexibility and connection. What you'll do: You will work mostly on post-sales operations. • Work closely with our Post-Operations team throughout the customer journey, • Develop a deep understanding of our customer use cases, flows of funds, and business objectives to add value effectively., • Ensure an excellent customer experience and apply technical expertise throughout the implementation by maintaining consistent, clear communication with multiple stakeholders., • Differentiate between "must-have" and "nice-to-have" requirements and feedback from the customer during the deployment., • Own the technical implementation process: identify and document project milestones, manage dependencies, and ensure timely delivery, • Identify and mitigate project risks such as scope creep, stakeholder engagement, customer IT resourcing, and internal backlogs, escalating issues to internal or customer executives as necessary., • Maintain clear and consistent communication with internal and external stakeholders, • Use these "live" cases to create a repeatable playbook, incorporating learnings, frameworks, and best practices to support our growth. Who you are: • Over 5 years of experience in software engineering within the payments or fintech space, • A passion for precision in scoping implementations or migrations, and excelling in negotiations with strategic thinking, patience, and emotional intelligence. You'll handle complex, cross-functional projects daily., • Good communication : be reassuring, be able to take the lead, • Ownership mentality and initiative : if you see something that needs to be done, take action! Benefits • Pension, • Health insurance, • Remote work allowance: £500 one-time setup bonus., • Equipment: Latest MacBook Pro or equivalent provided. About FORMANCE: ___ is on a mission to unlock the next generation of financial applications by solving today’s hardest problems in the space — with full flexibility and programmability to build unique and sophisticated financial products, with the most effective financial services providers. Our platform was built with a distinctive angle from the ground up, focusing on the flow of funds first to help businesses realize their product visions on a solid financial foundation. Starting with an Open Source Ledger (i.e. a database for financial transactions), we’re building a comprehensive suite of modern financial backend modules, including native and automated reconciliation, workflow engines, and connectors with various financial services providers - e.g. Stripe, Adyen, Modulr, Wise, Atlar. This unique approach has made us the trusted financial backend for leading SaaS companies and financial institutions like Booksy, Doctolib, and Liberis, along with many others worldwide. Our success stems from the trust in our open-source foundation, the high level of programmability of our solutions, and our software-first approach, moving beyond traditional payment business models. We’ve recently opened two new offices in New York and London to accelerate our worldwide expansion.

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. Vision In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization. Solution As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs. About the Role As Engineering Systems Programme Manager, you will take end-to-end ownership of the delivery of Humanoid’s engineering systems programme, covering PLM, CAD, and closely related engineering capabilities. Although the role sits within the IT organisation, you are accountable for the overall programme delivery, not just IT workstreams. You will lead a multi-workstream, engineering-facing transformation spanning PLM Phase 1 and Phase 2, coordinating Engineering, IT, external vendors, and system integrators to deliver tangible outcomes. This is a delivery-led role. You are expected to bring structure, momentum, and discipline to a complex engineering systems landscape, operating confidently in a matrixed environment and driving progress through influence rather than formal line authority. Role Context & Interfaces Interfaces with ERP delivery where dependencies exist, while remaining focused on the PLM and engineering systems scope Acts as Programme Manager for the Engineering Systems programme Reports into IT for governance and alignment, while delivering with and through Engineering Works closely with: Programme Owner Engineering leadership and wider team PLM workstream mCAD / eCAD workstream Data & Integrations Architect External vendors and system integrators What You’ll Do Programme Ownership & Delivery • Own end-to-end delivery of the Engineering Systems programme across defined phases., • Establish and maintain a clear, integrated programme plan aligned to the agreed roadmap, scope and schedule., • Drive delivery across multiple concurrent workstreams, including PLM, CAD, integrations, and engineering data foundations., • Lead delivery of PLM Phase 1 capabilities, including CAD vaults, EBOM, part libraries, lifecycle management, access controls, and initial integrations., • Coordinate planning and execution of PLM Phase 2 capabilities, including change management, document management, MBOM, supplier-related data, and extensions., • Act as the primary delivery interface with PLM and engineering systems vendors and implementation partners., • Hold internal teams and external vendors accountable to agreed scope, timelines, and quality expectations., • Coordinate closely with the Data & Integrations Architect to ensure integrations are designed and delivered in line with agreed architectural standards., • Manage dependencies between PLM, CAD, engineering systems, and downstream systems., • Engage directly with engineering teams to ensure requirements are understood, prioritised, and translated into deliverable scope., • Balance engineering usability, governance, and delivery pragmatism., • Manage expectations and decisions across technical and non-technical stakeholders. Ensure testing, readiness, and cutover activities are planned and executed to an appropriate standard. Establish and operate appropriate programme governance. Identify and manage risks, issues, and trade-offs proactively. We’re Looking For Essential • Proven experience delivering PLM programmes and broader engineering systems scope in complex environments., • Experience operating as a Programme or Senior Project Manager across multiple workstreams., • Firm grounding on PLM, CAD, and engineering systems and data concepts., • Experience working with engineering stakeholders in product-led or manufacturing environments., • Ability to operate effectively in a matrixed organisation without direct line authority., • Strong vendor and systems integrator management capability., • Highly organised, execution-focused, and comfortable driving delivery under ambiguity., • Strong conviction and confidence in delivering on-time, utilising all project management levels to tackle resource contention and risk/issue management., • Clear communicator with the confidence to challenge and make decisions., • Desirable, • Strong grounding on modern PLM platforms and CAD ecosystems, and in particular Siemens TC & NX, and Altium., • Exposure to ERP–PLM integration dependencies., • Experience in scale-up or fast-growth engineering organisations. What We Offer • Competitive salary plus participation in our Stock Option Plan, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Boston and Vancouver offices, • Office perks: free breakfasts and lunches, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy.

About Us Every business needs to know who they’re really working with whether it’s suppliers, investors, partners, or third parties. At Xapien, we’re reinventing how organisations do that, combining speed, scale and accuracy with cutting-edge AI. Since 2018, we’ve grown from a deep-tech startup to a global player in AI-driven due diligence and risk intelligence. 2024 was a landmark year as we closed a $10M Series A, earned recognition in the Chartis RiskTech100® and Everest Group’s Leading 50™, and expanded our products, markets and customer base. 2025 was even bigger: With new regulations, rising compliance pressure and growing reputation risks, organisations everywhere are demanding smarter, faster ways to work and they’re turning to us. Customers worldwide from global law firms and private banks to universities and nonprofits rely on Xapien to turn days of manual research into trusted insights, delivered in minutes. Our momentum so far Customers in a diverse range of industries, with particular growth in wealth management, financial services and supply chain onboarding. Demand accelerating beyond our UK headquarters, across multiple continents with new customers in the Middle East, Asia, and Oceania. Why this is an exciting time to join This isn’t just another tech role; it’s an opportunity to shape the future of the due diligence industry with a market-leading product trusted by global organisations. Whether you’re in marketing, communications, sales, or finance, you’ll play a critical role in driving growth, building credibility, and defining how we connect our product to a rapidly evolving market. We’re scaling fast with more customers, more releases, and bigger regulatory and market challenges. Expectations are rising, due diligence now means real-time insight, delivered efficiently and with impact. You won’t just be executing campaigns, closing deals, or managing numbers, you’ll be influencing strategy, optimising processes, and helping position a brand that’s setting the new standard for trust and transparency. For people who love learning, innovating, and making an impact that matters now is the moment to be a part of Xapien. The Role We're looking for an Engineering Manager to lead one of our engineering teams, managing a group of engineers building features that directly impact our customers. This is a people-first leadership role focused on delivery, team performance, and engineering excellence. As our second EM hire, you'll help us continue to embed effective engineering management practices across the organisation. You'll be responsible for your team's delivery cadence, quality, and growth while working closely with Product, QA, Research, and Design to ship great software. This role is not hands-on coding focused. Instead, you'll spend your time on people development, process improvement, and ensuring your team delivers high-quality work consistently and sustainably. Key Responsibilities People Leadership & Development: • Manage and develop a team of engineers, fostering a culture of continuous learning and high performance, • Conduct regular 1:1s, provide coaching and feedback, and support career growth, • Build psychological safety and team cohesion, • Support hiring as the team and company scales, • Create an environment where engineers can do their best work Delivery & Process: • Own your team's delivery, ensuring consistent, predictable output, • Work closely with Product Managers, QA, and Research to scope, prioritise, and deliver work, • Drive continuous improvement in delivery cadence and quality, • Reduce incidents and improve system reliability, • Embed and refine engineering processes that scale with the organisation, • Remove blockers and create clarity for the team Technical Engagement: • Participate in technical scoping and design discussions, • Understand the technical challenges your team faces well enough to know when to escalate or seek help from senior technical staff, • Maintain enough technical awareness to make informed trade-offs between speed and quality, • Contribute to architectural discussions without needing to write the code yourself Cross-functional Collaboration: • Partner with Product to align on roadmap and priorities, • Collaborate with QA to ensure quality standards, • Coordinate with Design on user experience, • Communicate effectively with other Engineering Managers and leadership What We're Looking For Essential: • 2+ years of engineering management experience, ideally in a scale-up or high-growth environment, • Proven track record of improving team delivery cadence and reducing quality issues, • Strong people management skills with experience developing engineers at different career stages, • Experience working in cross-functional product teams with Product, Design, and QA, • Ability to contribute to technical scoping and design without being hands-on in code, • Excellent communication and stakeholder management skills, • Comfortable operating in a fast-paced, evolving environment, • Track record of building sustainable, healthy teams that deliver consistently Desirable: • Experience in SaaS or B2B product companies, • Previous experience as a strong software engineer, • Familiarity with modern engineering practices and tooling, • Experience hiring and scaling engineering teams What Success Looks Like In your first 6 months, you will have: • Built strong relationships with your team and cross-functional partners, • Improved your team's delivery predictability and cadence, • Contributed to reducing incidents and improving quality metrics, • Embedded effective processes for planning, retrospectives, and continuous improvement, • Supported team members' growth through regular coaching and feedback, • Made meaningful progress on at least one significant team improvement initiative Here’s our promise to you: • We are going to work with you - to build a rewarding and fulfilling career with the opportunities, challenges and resources you need to do you your best work., • We succeed together- you will own a meaningful part of the business through our employee shares & equity programme., • Private health insurance to keep you in tip-top condition., • Life Insurance – let's hope nobody ever needs this!, • Unlimited holidays – yes, it really is uncapped – take the time you need, when you need it., • Everyone is learning, developing and challenging themselves so we have a £1k professional development fund per year if you want to learn new skills, even new things outside of work., • Most importantly of all, we will work with you, to help you realise your fullest potential, always.

About Zeus Zeus is a leading logistics technology company focused on digitising, automating, and optimising supply chains through AI-powered solutions. Our integrated platforms Zeus Command, Zeus Command AI, and Zeus Connect streamline freight operations, enhance efficiency, reduce costs, and provide real-time visibility. Founded to modernise the transport and logistics sector, Zeus has grown into one of Europe’s fastest-growing logistics tech companies, working with major enterprises across multiple countries. Backed by advanced AI and sustainable transport solutions, Zeus is shaping the future of logistics. As we continue to scale, we’re looking for passionate individuals to join our team and help drive innovation in supply chain technology. If you're excited about AI, automation, and revolutionising logistics, Zeus offers an opportunity to work in a fast-paced, dynamic environment with leading industry expertise and state-of-the-art technology. About this job The mission Work with our AI and data team on Pack AI, our AI driven order consolidation and VRP module. Understand each prospect’s unique data and constraints, shape a custom solution, and clearly communicate results. You will own analytical workstreams end-to-end. What will you do • Client-centred analysis: Partner with potential customers to unpack business goals, data quirks, and constraints; translate them into a simulation plan and success criteria., • Data science hands-on: Clean, transform, and analyse large order/delivery datasets; build visualisations and executive-ready summaries (vehicle utilisation, mileage, cost, quantities, OTR)., • Parameter tuning: Design experiments, sweep parameters, evaluate trade-offs, and recommend configurations (e.g., slot windows, min-qty thresholds, SKU segregation)., • API usage & integration: Read docs, consume and stitch APIs (routing, ETAs, data exchange); produce robust scripts/services for repeatable runs., • Athena AI development support: Build data pipelines, evals, and monitoring for Athena agent workflows; collaborate with engineering team on LLM integration quality and observability., • Problem solving & delivery: Proactively flag blockers, propose options, and hit deadlines with self-organised, reliable execution. What great looks like (first 3–6 months) • You independently run a full simulation cycle (data prep → parameter experiments → recommendations → presentation)., • You deliver clear, written decision memos and visuals stakeholders can validate., • You improve plan quality on at least one prospect (e.g. higher trailer utilisation or reduced mileage) with a documented recipe., • You contribute meaningfully to Athena AI agent development (e.g., build an eval suite for tool execution quality, implement a new data pipeline for agent context) Must-have • Strong analytical & problem-solving skills: Able to decompose messy, real-world problems and craft tailored solutions., • Proficient in Python & data science: pandas/Polars, NumPy, scikit-learn, Jupyter, Plotly (or similar), • Confident with data cleaning, analysis, transformation, and visualisation., • Excellent communication: Advanced written and spoken English; concise, direct, and audience-appropriate (technical + executive)., • Self-organised, responsible, independent: Prior professional experience; capable of planning your own workload to deadlines., • API usage & integration: Comfortable reading API docs, handling auth, rate limits, and building reliable consumers/producers. Nice to have • Routing/optimisation exposure: NVIDIA cuOpt, VROOM, HERE (or similar); familiarity with multi-drop, time windows, packing rules., • Spatial data experience: Coordinates, geocoding, map/route visualisation, basic GIS concepts., • Cloud & delivery awareness: AWS (S3, ECS/Lambda, SNS/SQS), Docker, CI/CD (GitHub Actions), SQL/Postgres., • TypeScript fluency: Able to read TS and collaborate on data contracts with the Command team. Our environment • Python, Polars/pandas, NumPy, scikit-learn, Plotly, SQL/Postgres, NVIDIA cuOpt, HERE APIs, AWS (S3, ECS/Lambda, SNS/SQS), Docker, GitHub Actions, TypeScript/Node (Command services). Interview process • 30-min intro (role, your goals), • Python data task (clean/transform + quick viz), • API & systems chat (design a small data pull + retries/observability), • Simulation case (parameter trade-offs; short write-up), • Stakeholder round (present findings; Q&A) What we offer • Private health insurance, • Pension plan, • Central working location, • Hybrid working, • Casual dress code, • Stocked kitchen and as much coffee & tea as you can drink, • Your own Mac or PC laptop and software subscriptions, • Discounted Gym memberships, a variety of virtual classes and seminars free of cost, discount coupons for all the major brands via Charlie HR perks, • Car rental scheme, • L&D via Udemy sponsored by Zeus, • Employee Assistance Program - Provides free of cost psychological, legal and medical counselling

Position: Fractional Head of AI – Full Service Marketing Agency Location: Remote / On-site (as required) Type: Part-Time / Fractional Remuneration: £250k+ p.a. OTE (fractional role – compensation scaled to days committed) Overview We are seeking a strategically minded Fractional Head of AI – Marketing, Data & Agency Operations to work with a full-service marketing agency operating across multiple clients, channels, and delivery teams. This role is designed for an agency environment where AI must drive measurable client performance while also improving internal efficiency, utilisation, and margin. The ideal candidate combines senior AI leadership with hands-on delivery experience, unifying fragmented marketing and operational data into actionable insights that improve campaign results, resource allocation, and profitability. You will lead AI initiatives that deliver ROI across attribution, campaign optimisation, client reporting, forecasting, and intelligent resource management across strategy, creative, media, and delivery teams. This is a high-impact role requiring strong commercial judgement, technical depth, and the ability to influence agency leadership, client CMOs, and internal delivery teams. Key Responsibilities Strategic AI Leadership – Agency, Martech & Cross-Channel Marketing • Define and execute an AI roadmap aligned to both client performance goals and agency commercial objectives., • Identify opportunities to apply AI across attribution modelling, audience targeting, creative optimisation, media spend allocation, and forecasting., • Design AI-driven approaches to improve internal agency operations, including capacity planning, utilisation, and delivery efficiency., • Ensure AI initiatives meet privacy, regulatory, and ethical standards (e.g. GDPR, consent management, data transparency)., • Communicate AI strategy, progress, and business impact to agency leadership, client stakeholders, and senior marketing teams. Hands-On AI & Data Implementation • Unify and analyse data across platforms such as Meta Ads, Google Ads, LinkedIn Ads, GA4, HubSpot, Salesforce, BigQuery, Looker, and internal agency systems., • Build and oversee bespoke attribution models, predictive performance models, LTV forecasting, and churn or retention indicators., • Automate client-ready reporting and insight generation across multiple accounts and channels., • Apply AI and machine learning tools (e.g. Python, modern ML frameworks, analytics tooling) pragmatically to deliver value quickly rather than experimental outputs. AI-Driven Resource Management & Agency Operations • Design AI-enabled systems to improve resourcing decisions across strategy, creative, media, and delivery teams., • Forecast workload, utilisation, and demand across client portfolios to support hiring, subcontracting, and capacity planning., • Apply AI to optimise project timelines, team allocation, margin protection, and delivery risk., • Help leadership move from reactive resourcing to predictive, data-led planning. Programme, Portfolio & Delivery Oversight • Oversee multiple concurrent AI initiatives across client accounts and internal agency functions., • Ensure initiatives are delivered on time, within budget, and tied to clearly defined KPIs., • Align AI outputs to commercial metrics such as CAC, LTV, ROAS, pipeline velocity, utilisation, and gross margin., • Balance innovation with delivery discipline in a fast-moving agency environment. Leadership & Team Enablement • Lead and mentor internal data, analytics, and marketing operations teams., • Build strong collaboration between AI specialists, marketing ops, creative teams, and client leads., • Raise AI capability across the agency through coaching, frameworks, and practical use cases., • Enable teams to confidently use AI tools without creating dependency on specialists. Client & Stakeholder Engagement • Act as a trusted senior advisor to agency leadership and key client stakeholders., • Translate complex AI outputs into clear, commercially relevant insights for non-technical audiences., • Support new business and upsell conversations by articulating AI-led differentiation., • Deliver regular updates on performance impact, operational improvements, and ROI. Emotional Intelligence & Change Leadership • Demonstrate high emotional intelligence in client and internal interactions., • Build credibility and trust with CMOs, agency partners, account directors, and delivery teams., • Navigate ambiguity, resistance, and change with clarity and pragmatism., • Balance innovation with empathy for real-world agency constraints. Continuous Improvement • Stay ahead of developments in AI, martech, attribution, and agency operations., • Continuously refine internal frameworks for speed, scalability, and repeatability., • Embed a culture of testing, learning, and evidence-based decision making., • Ensure AI capability evolves in line with agency growth and client expectations. Qualifications Education • Bachelor’s or Master’s degree in Computer Science, Data Science, Marketing Analytics, or a related field. Experience • Proven leadership in AI strategy and hands-on delivery within marketing agencies, martech, or multi-client environments., • Strong experience with cross-channel attribution and marketing data integration at scale., • Demonstrated success applying AI to improve both marketing performance and internal operations., • Experience building and leading data or AI teams in commercial settings. Core Skills • Strong strategic and commercial mindset with agency-side experience., • Excellent organisational and time-management skills across complex portfolios., • High emotional intelligence and exceptional communication skills., • Prior experience in a fractional, portfolio, or advisory leadership role., • Familiarity with CDPs, marketing data warehouses, and privacy-compliant data unification., • Experience applying AI to forecasting, utilisation, or professional-services resource management. Benefits • Flexible, fractional engagement with remote-first delivery., • £250k+ OTE (pro-rated for part-time), linked to scope, delivery impact, and client portfolio value., • Opportunity to shape AI strategy across a high-growth marketing agency., • Work on commercially meaningful AI initiatives with visible client and operational impact., • Join a forward-thinking, delivery-focused environment committed to real results.

🌍 Location: London (Hybrid: 4-8 days a month) 💷 Salary Range: £70,000-100,000 📈 Equity: Meaningful early-stage equity 🕒 Stage: Seed → Series A 🌐 Website: Cyb3roperationsCyb3r Operations | Supply Chain & Third Party Intelligence About Cyb3r Operations Cyb3r Operations is building a modern third-party risk intelligence platform that gives organisations real-time visibility into: • Supply-chain and vendor risk, • Financial stress indicators, • Cyber exposure and shadow IT, • Surface, deep and dark-web intelligence, • Breach data, impersonation activity and industry-specific signals Our platform ingests and enriches large volumes of external intelligence to help security, procurement, CFO and resilience teams understand exposure instantly. We have: • Closed our seed round and are entering the next stage of growth, • Expanding the platform, engineering team and customer footprint, • Preparing for Series A with a focus on platform maturity and deeper integrations We're hiring a Senior Lead Software Engineer as a foundational member of our engineering team, someone who will help us build robust, scalable systems and shape how we grow the team around them. Role Overview This is a key early hire. You'll work across the full stack with a strong emphasis on backend services and infrastructure, helping us build systems that scale as we grow. You'll work closely with the Director of Engineering to establish patterns, improve reliability, and lay the groundwork for a larger engineering team. You will: • Design and build backend services that ingest, process and serve intelligence at scale, • Own and evolve our AWS infrastructure, ensuring it's secure, cost-effective and production-ready, • Work across the stack when needed, comfortable contributing to frontend, APIs and data layers, • Help define engineering practices, tooling and processes as the team grows, • Be a key voice in technical decisions and architectural direction, • Mentor and support engineers as we expand the team This role suits someone who wants to build things properly, cares about the foundations, and is excited by the opportunity to shape both the platform and the team. Key Responsibilities Backend Development • Design and build performant, maintainable backend services in TypeScript/Node.js and Python, • Develop APIs using Fastify and integrate with internal and external data sources, • Build data pipelines and processing workflows that handle high-volume intelligence feeds, • Implement robust error handling, logging, monitoring and alerting, • Write clean, well-tested code with clear documentation Infrastructure & Cloud Engineering • Own and manage AWS infrastructure (ECS, Lambda, RDS, S3, CloudFront, SQS, EventBridge, etc.), • Design for scale, reliability and cost efficiency from the outset, • Implement infrastructure-as-code using Terraform, • Build and maintain CI/CD pipelines for consistent, reliable deployments, • Establish security best practices across infrastructure and application layers, • Monitor, troubleshoot and optimise production systems Architecture & Technical Leadership • Contribute to architectural decisions that support long-term scalability, • Identify technical debt and propose pragmatic approaches to address it, • Evaluate and introduce tools and technologies where they add genuine value, • Document systems, decisions and patterns to support team growth, • Participate in incident response and post-mortems, driving continuous improvement Team Growth & Collaboration • Work closely with the Director of Engineering on priorities, planning and team development, • Help interview, onboard and mentor new engineers as we scale, • Communicate clearly and proactively, flag risks early, share context generously, • Collaborate with Product and other stakeholders to refine requirements and trade-offs, • Foster a culture of learning, quality and mutual support Technical Environment Backend: • Node.js, TypeScript, Fastify, • Python for data processing and automation, • Postgres, Supabase, Redis, • Event-driven microservices architecture, • n8n for workflow automation, • LLM-powered enrichment pipelines Infrastructure: • AWS (ECS, Lambda, RDS, S3, CloudFront, SQS, EventBridge, IAM, VPC), • Terraform for infrastructure-as-code, • GitHub Actions for CI/CD, • Monitoring and observability tooling Frontend (for fullstack context): • React, TypeScript, Vite, Next.js Bonus familiarity: • Graph databases and GraphML for relationship modelling, • .NET for legacy integration or specific tooling, • Cyber Security, • SOC2 / CE+ / Regulatory experience What Success Looks Like (First 12 Months) • Core backend services and infrastructure are more scalable, reliable and observable, • Clear architectural patterns established that the team can build upon, • Meaningful contribution to at least one significant platform capability, • Infrastructure costs are understood, monitored and optimised, • Strong working relationships across engineering, product and leadership, • Actively contributed to hiring and onboarding new team members, • Recognised as a trusted technical voice in decisions and planning Ideal Experience • 5+ years of backend development experience, with strong TypeScript/Node.js and Python skills, • Solid, hands-on AWS experience—you've built and operated production infrastructure, not just used managed services, • Experience designing systems for scale, even if you haven't yet operated at massive scale, • Comfortable across the stack—backend-focused but can contribute meaningfully to frontend when needed, • Worked in startup or scale-up environments where you've had to build, ship and iterate quickly, • Experience with infrastructure-as-code (Terraform preferred), • Clear, confident communicator who can explain technical concepts to varied audiences Bonus: • Experience with graph databases or GraphML for modelling complex relationships, • .NET experience for specific integrations, • Familiarity with cyber security, threat intelligence or risk platforms, • Experience building data pipelines or working with high-volume data ingestion, • Previous involvement in growing or mentoring engineering teams What We're Looking For Beyond technical skills, we're looking for someone who: • Loves building: Energised by creating products that solve real problems, • Builds for scale: Thinks about what happens when it grows, not just when it works, • Grows people: Wants to help others develop—shares knowledge, gives feedback, lifts the team, • Stays curious: Asks questions, digs deeper, never assumes they know everything, • Keeps learning: Actively develops their skills and stays engaged with the craft, • Stays humble: Ego-free, open to challenge, happy to be wrong if it leads to better outcomes, • Communicates clearly: Can articulate ideas, trade-offs and concerns directly and constructively This is an early, foundational role. We need someone who cares about getting it right and wants to help us build something that lasts. Why Join Cyb3r Operations This isn't a 9-5. We're building something meaningful, and we're looking for people who want to be part of that. • Foundational impact: Join as a key early hire and shape how we build—both the platform and the team, • Real ownership: Your decisions matter, your code ships, your influence is tangible, • Talented team: Work alongside experienced engineers, intelligence analysts and security professionals who care about their craft, • Shared success: We celebrate wins together and recognise the people who make them happen, • Growth opportunity: Help us scale from seed to Series A and beyond, your career grows with us, • Cyber security domain: Work on problems that matter, in a space that's only becoming more critical, • Competitive package: Salary, matched pension contribution, unlimited leave and flexibility that reflects your experience and contribution If you want to build robust systems, help grow a strong team, and be part of something from the early days, we'd love to hear from you.

🌍 Fullstack Software Engineer | AI Startup | NYC (Onsite/Hybrid) A seed-stage AI team is building smarter, developer-focused tools for OCR and document intelligence. They’re small, fast, and deeply technical — designing smooth inference workflows, clean parsing interfaces, and a platform that helps thousands of engineers build ML-powered products with less friction. About the role You’ll shape the full journey from raw model output to polished user experience. Expect hands-on work across the stack, helping engineers explore, evaluate, and deploy document-understanding systems in real products. 💡 What you’ll work on • Build interfaces that make complex extraction feel clear and intuitive, • Move between APIs, inference layers, and UI to improve reliability and performance, • Collaborate with founders, users, and the open-source community to refine ML-driven workflows 🚀 What they value • Strong product sense and attention to user experience, • Clear thinking around developer workflows, • Comfort working across backend and frontend in a fast, early-stage setting Compensation Salary up to $250,000 plus meaningful equity. If this sounds interesting, apply now!

Job Title: Dynamics 365 CRM Solution Architect Overview: We are seeking a highly experienced Dynamics 365 CRM Solution Architect with 16+ years of enterprise CRM and cloud solution delivery experience, bringing deep technical and functional expertise across the Dynamics 365 ecosystem. The ideal candidate has led end-to-end implementations across Customer Insights, Customer Service, and Sales, with a proven ability to architect scalable, secure, and data-driven customer engagement solutions. You will own the solution architecture, guide design decisions, and oversee technical delivery across complex multi-cloud environments. Responsibilities include defining architecture for Customer Insights, designing data models and segmentation strategies, integrating Azure services, establishing governance frameworks, designing Sales and Service processes, and optimizing AI-driven customer analytics. You will also lead CRM integrations, ensuring robust API patterns, middleware orchestration, and end-to-end data flow consistency. Key Responsibilities: Lead solution architecture and technical design for Dynamics 365 CRM, including Customer Insights, Customer Service, and Sales Architect enterprise-grade integration patterns across Azure, Dataverse, REST APIs, ESB/middleware, and external systems Design and optimize Customer Insights ingestion pipelines, unification rules, segmentation models, and predictive analytics Define CRM data models, automation, and business process flows across Sales and Service Oversee delivery teams, perform code/design reviews, and enforce architectural and integration best practices Build enterprise automations using Power Automate, Azure Functions, and custom connectors Collaborate with stakeholders to translate business requirements into scalable technical solutions Drive AI/ML adoption using AI Builder, Azure Cognitive Services, and customer intelligence features Support governance, DevOps, CI/CD, environment strategy, and performance optimization Serve as the SME for CRM strategy, integration frameworks, roadmap planning, and platform evolution Required Experience & Skills: Nice to Have: Microsoft certification: PL-900 (Power Platform Fundamentals) or equivalent Experience with Microsoft Fabric and advanced Customer Insights real-time analytics

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. Vision In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization. Solution As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs. About the Role We are looking for a Robotics Test Automation Engineer to ensure that our robots move, think, and interact with the world safely and reliably. You will own the quality gate for our software releases and lead the validation of new hardware revisions.This is not a standard web-QA role; you will be working directly with Hardware-in-the-Loop (HIL) systems and whole robots, designing automated test benches, and testing regression in complex electromechanical systems. You will play a critical role in decoupling software development from hardware dependencies. What You’ll Do • Software Release Testing, • Release Validation: orchestrate the end-to-end testing pipeline for new software versions, ensuring every release meets safety and performance standards before deploying to the fleet., • CI/CD Integration: Integrate automated tests into our CI/CD pipeline (e.g., Jenkins, GitLab CI, GitHub Actions) to catch regressions immediately after code merges., • Simulation vs. Reality: Expand testing coverage in our simulation environments (e.g., Gazebo, Webots, Isaac Sim) to parallelize software testing before physical validation., • Hardware-in-the-Loop (HIL) & Hardware Revisions, • HIL Framework Design: Build and maintain HIL test benches that simulate real-world inputs (sensor data, motor feedback) to validate control logic on actual target hardware., • New Hardware Bring-up: Collaborate with Electrical and Mechanical Engineering teams to validate new hardware revisions (PCBs, sensors, actuators). You will write the test suites that verify if the new hardware plays nicely with the existing software stack., • Latency & Performance: Measure real-time performance, ensuring that software changes do not introduce dangerous latency in control loops., • Tooling & Infrastructure, • Develop Python/C++/Shell scripts to automate the flashing of firmware and configuration of robot parameters., • Experience: 3+ years in software test automation, with at least 1 year specifically in Robotics, Embedded Systems, or Automotive., • Coding: Strong proficiency in Python (for scripting/testing) and familiarity with C++ (reading production code)., • Robotics Middleware: Hands-on experience with ROS2. You understand nodes, topics, services, and actions., • HIL Experience: Experience building or maintaining Hardware-in-the-Loop systems. You understand how to mock sensor data and interact with hardware interfaces (EtherCAT, Ethernet, I2C, CAN)., • OS: Deep comfort with Linux (Ubuntu) environments., • Nice-to-Have:, • Experience with robotics simulators (Gazebo, Unity, NVIDIA Isaac Sim)., • Knowledge of containerization (Docker) for consistent test environments., • Basic electrical debugging skills (using a multimeter/oscilloscope to verify hardware triggers)., • Experience with safety-critical standards (IEC 61508, ISO 26262)., • Languages: Python, C++, Bash scripts, • Robotics: ROS / ROS2, • CI/CD: [e.g., Jenkins, GitLab, GitHub Actions], • Hardware Interfaces: CAN bus, Serial, EtherCAT, • Competitive salary plus participation in our Stock Option Plan, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Office perks: free breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. Vision In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization. Solution As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs. What You'll Do: • Train policies via representation learning, behaviour cloning and RL; own the full loop from data to deployment., • Partner with teleoperations to drive data collection: specify what “good” looks like, ensure diversity/coverage, and close the gap between sim and real., • Run pre-/mid-/post-training on multimodal LLM/VLM/VLA stacks; plug in new modalities (vision, audio, proprioception, LiDAR/point clouds, …) without breaking existing ones., • Build and maintain continuous pipelines: ingest simulation + tele‑op logs, version them, apply weak‑supervision labelling, curate balanced datasets, and auto‑surface fresh failure cases into retraining., • Work with MLOps & Data Platform teams to scale distributed training and optimize models for real‑time edge inference. We’re Looking For: • 3+ years building deep‑learning systems (industry or research) with shipped models or published artifacts to show for it., • Hands‑on with at least one of: LLMs, VLMs, or image/video generative models — architecture, training, and inference., • Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies., • Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code., • You document experiments clearly and communicate trade‑offs crisply. Nice-to-Have: • Robotics or autonomous driving experience., • RL for LLMs or robotics (PPO, DPO, SAC, etc.)., • Proven productization of deep nets (latency/throughput constraints, telemetry, on‑device optimization)., • Publications at ICLR/ICML/NeurIPS or equivalent open‑source contributions., • Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open VLA frameworks. What We Offer: • Competitive salary plus participation in our Stock Option Plan, • UK Private Insurance, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Office perks: free breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. Our Mission: At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. Vision: In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization. Solution: As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs. We are seeking a highly skilled and motivated Staff/Senior Simulation Robotics Engineer to join our innovative team. The ideal candidate will have a strong background in robotics, simulation, and software development and will be responsible for developing and maintaining advanced simulation environments for robotic systems, enabling the testing and validation of complex robotic behaviors and algorithms. The successful candidate will have the opportunity to work on cutting-edge robotics projects with a talented team in a flexible and supportive work environment with opportunities for professional growth and development. What You’ll Do: • Simulation Development: Design and implement high-fidelity simulation environments for robotic systems, incorporating realistic physics, sensor models, and environmental interactions., • Software Engineering: Write clean, maintainable, and scalable code, utilizing modern software engineering practices and tools., • Digital Twin Integration: Develop and maintain interfaces to facilitate the creation of a digital twin for seamless transfer of insights and control strategies between simulation and real robots., • Gym environment. Design Gym-like environments to support the robot learning team in developing locomotion and manipulation policies., • Algorithm Testing and Data Analysis: Design and execute simulation-based tests to evaluate robotic algorithms and control systems, and analyze simulation data to gain insights and identify areas for improvement., • Cross-Team Collaboration: Work closely with other engineers and researchers, especially across multiple teams such as manipulation, locomotion, VLA, Reasoning Design & Hardware, and Control & Integration, to ensure seamless integration of simulation tools into the overall robotic development workflow., • Trend Awareness: Stay informed on current trends in the simulation field and proactively explore their implementation within the company. We’re Looking For: • Education: B. Sc., Master's or Ph.D. in Robotics, Computer Science, or a related field., • Strong programming skills in C++, Python, • Deep expertise in ROS2 and the ROS2 Control stack., • Experience with robotic simulation frameworks, such as MuJoCo and Isaac Sim., • Knowledge of robotic kinematics, dynamics, and control., • Experience with gym-like environments for robot learning., • Familiarity with imitation learning, VLA models & Computer Vision techniques., • A proactive, can-do attitude and a collaborative spirit. What we offer: • Competitive salary plus participation in our Stock Option Plan, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Office perks: free breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

About Us: We’re a VC-backed stealth-mode company building behavioural AI solutions for the retail industry. Our platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store experience, powering real-time, context-aware interactions in physical retail environments through beautifully engineered mobile experiences. Role: We're looking for an experienced Android Engineer to help with the development of a cutting-edge consumer facing app designed to change the physical in-store shopping experience. You’ll collaborate closely with our team of ML & backend engineers and product to deliver a mobile experience that feels fast, personalised, and deeply responsive to user context. Responsibilities: • Architect and drive the development of complex Android features, including robust real-time communication and bi-directional data flows., • Design offline-first architectures, implementing sophisticated prefetching, caching, and background sync engines., • Take ownership of app performance, profiling and optimising for low latency, memory efficiency, and battery life in a resource-intensive environment., • Integrate complex ML features into the UI/UX, bridging the gap between the Edge AI team’s models and the user interface., • Define and evolve the mobile codebase using modern architectural patterns (MVI/MVVM, Clean Architecture) to ensure scalability., • Mentor and collaborate, working closely with product and design to turn complex technical capabilities into polished user interactions. Essential Qualifications: • Experience with real-time protocols and data-heavy applications (e.g. WebSockets, gRPC, MQTT, SSE)., • Expert-level understanding of Android internals: concurrency, memory management, and the full lifecycle constraints., • Proven track record of building resilient, offline-capable systems (familiarity with sync queues, local databases, and reactive flows)., • Ability to architect for complexity, handling asynchronous data streams and complex state management cleanly., • Comfort working in fast-paced, product-driven environments where you are expected to make high-level technical decisions., • Curiosity about behavioural data and context-aware design. What Sets You Apart: • Exposure to integrating machine learning features (e.g. ML Kit, or custom TFLite models) into a production app., • Experience with hardware integration (Bluetooth, Sensor APIs, or USB-C peripherals)., • Background in early-stage product design or MVP development.

NET Developer (Contract) Location: Central London Rate: £350–£425 per day Duration: 6 months (likely extension) Start: ASAP Role Overview We are seeking an experienced .NET Developer to join our Business Intelligence IT team. You will develop and support SMBC BI business applications using C# and MS .NET Framework, working across SQL Server and Oracle databases. This role involves both new development and maintenance of existing applications, ensuring stability and compliance with change management procedures. Key Responsibilities • Develop and maintain C#/.NET applications for BI systems., • Analyse business requirements and design technical solutions., • Write and optimise T-SQL and PL/SQL scripts for data analysis., • Collaborate with DBAs and infrastructure teams in London and New York., • Support production environments, troubleshoot issues, and implement fixes., • Assist with Citrix and application server deployments for web and Windows apps., • Follow change management and release processes., • Strong experience with C# and .NET Framework (Windows and Web apps)., • Proficient in SQL Server (T-SQL) and Oracle (PL/SQL)., • Knowledge of application deployment and environment maintenance., • Experience in unit testing, QA, and documentation., • Financial services or enterprise BI experience., • Familiarity with Citrix, disaster recovery environments, and version upgrades. Apply by clicking the link provided or contract for a faster response.

LLM, RAG & Agentic AI Engineer – Insurance Sector Occasional travel client offices and two trips to London HQ per month Role Overview Lead the design and delivery of AI-native transformation initiatives for insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence. This is a senior, hands-on consulting role combining deep AI engineering expertise with strong client-facing presence, shaping both insurance-specific client outcomes and the firm’s long-term AI engineering capability. As demand accelerates across claims automation, underwriting decision support, policy servicing, fraud detection, compliance and operational efficiency, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution within regulated insurance environments. The Consulting Engineer is a hands-on AI systems builder who combines engineering depth with commercial and product thinking to design, build and deploy LLM- and agent-driven solutions for insurers, brokers and value chain partners. You will work directly with senior insurance stakeholders (Claims, Underwriting, Operations, IT, Risk, Compliance, Actuarial) and alongside consulting and orchestration roles, translating complex insurance problems into safe, reliable and auditable AI solutions. Key Accountabilities Client-Facing AI Engineering & Agentic System Design (Insurance-Focused) You will design and deliver production-grade AI systems for insurance clients, including: • LLM-powered applications for claims handling, underwriting support, policy servicing, document processing and customer operations, • Multi-agent architectures for insurance workflows, including triage, decision support, escalation, delegation and human-in-the-loop controls, • Retrieval and vector-based systems over policy wordings, endorsements, claims files, loss runs, underwriting guidelines and regulatory documentation, • Semantic layers, ontologies and knowledge models aligned to insurance data structures, coverage logic and risk taxonomies, • Integrations with core insurance platforms (claims systems, PAS, underwriting workbenches), data warehouses and third-party providers, • Prompt engineering at scale with regulatory guardrails, explainability, traceability and auditability, • Safety constraints for hallucination control, coverage interpretation accuracy and customer-facing use cases Technical Discovery, Feasibility & Solution Architecture Working closely with consulting counterparts, you will: • Translate ambiguous insurance challenges into clear, feasible AI solutions, • Assess client data maturity, policy document quality, legacy platforms and security constraints, • Shape use cases across claims leakage reduction, underwriting efficiency, fraud detection and compliance automation, • Work directly with insurance SMEs to surface edge cases, exceptions, regulatory nuances and operational realities, • Produce clear, concise technical artefacts suitable for regulated, risk-aware client audiences Delivery Excellence, AI Ops & Reliability (Regulated Environments) You will ensure solutions are enterprise-ready and regulator-safe by: • Implementing evaluation frameworks for accuracy, coverage interpretation, decision consistency and bias, • Designing monitoring, logging and tracing suitable for regulated insurance environments, • Applying governance, risk and compliance principles (eg audit trails, explainability, access controls), • Supporting controlled releases and operational handover into insurer IT and operations teams, • Ensuring reliability, reproducibility, performance and cost discipline at insurance scale Reusable Assets & Insurance AI Capability Building As part of a consulting-led engineering practice, you will: • Build reusable insurance-specific accelerators, agent patterns and reference architectures, • Contribute to internal playbooks covering claims, underwriting, policy servicing and compliance use cases, • Share emerging research, frameworks and AI trends relevant to the insurance sector, • Influence delivery methodology, technical standards and agentic design patterns for regulated industries Experience & Skills This is a hands-on consulting engineering role. Candidates should bring: • Experience in software engineering, AI engineering or applied data engineering, • Strong hands-on experience with LLMs, embeddings, RAG pipelines and vector databases, • Experience designing or implementing multi-agent systems or tool-calling frameworks, • Strong Python skills with experience building production-grade, regulated systems, • Experience with at least one major cloud AI ecosystem (Azure/OpenAI, GCP/Vertex, AWS, Anthropic), • Familiarity with semantic modelling, ontologies or knowledge graph concepts, ideally applied to complex domains, • Proven ability to rapidly prototype and validate solutions with business stakeholders, • Experience working directly with clients in consulting, professional services or regulated enterprise environments, • Insurance domain experience (claims, underwriting, policy, risk, compliance or adjacent systems) strongly preferred

About Us: We’re a VC-backed stealth-mode company building behavioural AI solutions for the retail industry. Our platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience. Role: We’re looking for an experienced Frontend Engineer to work closely with product, design, mobile, and machine learning team members to design & build experiences that re-define retail shopping. You'll help help build engaging & intuitive web experiences using highly responsive UI components and real-time data flows. Responsibilities: • Design and implement reactive, real-time web interfaces that help manage & redefine what is possible with in-store content personalisation, • Understand & advocate for user needs/wants, • Translate user and business needs into functional frontend code, • Contribute to API and broader system design & documentation Essential Qualifications: • Strong understanding of UX principles and web design fundamentals, • Expert in Javascript, Typescript, HTML, and CSS, • Extensive experience with modern web frameworks and patterns (eg. React, Next.js, Tailwind), • Experience with real-time and bi-directional communication protocols and patterns (eg. WebSockets, SSE), • Built and deployed services on any major cloud providers' services (Azure, GCP, AWS), • AI-Native development: fast iteration & prototyping using AI tools such as Lovable, Bolt, or Cursor as a collaborator. Nice to Have: • Some experience in backend development (Python/Java/Go), • Experience with container orchestration and service containerisation (Kubernetes, Docker), • Worked in an IoT or Edge-oriented architectures, • Experience or knowledge in retail POS, inventory, or loyalty systems

About Us Every business needs to know who they’re really working with whether it’s suppliers, investors, partners, or third parties. At Xapien, we’re reinventing how organisations do that, combining speed, scale and accuracy with cutting-edge AI. Since 2018, we’ve grown from a deep-tech startup to a global player in AI-driven due diligence and risk intelligence. 2024 was a landmark year as we closed a $10M Series A, earned recognition in the Chartis RiskTech100® and Everest Group’s Leading 50™, and expanded our products, markets and customer base. 2025 was even bigger: With new regulations, rising compliance pressure and growing reputation risks, organisations everywhere are demanding smarter, faster ways to work and they’re turning to us. Customers worldwide from global law firms and private banks to universities and nonprofits rely on Xapien to turn days of manual research into trusted insights, delivered in minutes. Our momentum so far Customers in a diverse range of industries, with particular growth in wealth management, financial services and supply chain onboarding. Demand accelerating beyond our UK headquarters, across multiple continents with new customers in the Middle East, Asia, and Oceania. Why this is an exciting time to join This isn’t just another tech role; it’s an opportunity to shape the future of the due diligence industry with a market-leading product trusted by global organisations. Whether you’re in marketing, communications, sales, or finance, you’ll play a critical role in driving growth, building credibility, and defining how we connect our product to a rapidly evolving market. We’re scaling fast with more customers, more releases, and bigger regulatory and market challenges. Expectations are rising, due diligence now means real-time insight, delivered efficiently and with impact. You won’t just be executing campaigns, closing deals, or managing numbers, you’ll be influencing strategy, optimising processes, and helping position a brand that’s setting the new standard for trust and transparency. For people who love learning, innovating, and making an impact that matters now is the moment to be a part of Xapien. The Role We're hiring Senior Frontend Engineers to join our Core App team. You'll be responsible for building the interfaces and experiences that our users interact with daily, working closely with backend engineers, product managers, designers, and other teams across the organisation. Our frontend stack is modern React with Vite, Turbo, Tailwind CSS, and Storybook. You'll work on everything from core user journeys to sophisticated data visualisations, collaborating with teams across engineering including our Investigations, Platform, and Customer Success teams. What You'll Do • Build responsive, accessible, performant user interfaces using React and modern frontend tooling, • Collaborate closely with designers to implement pixel-perfect UIs and great user experiences, • Work with backend engineers to design and consume APIs effectively, • Write well-tested, maintainable code following established patterns, • Contribute to our component library and design system, • Participate in code reviews and help maintain frontend standards, • Work cross-functionally with other teams to deliver features, • Debug and optimize frontend performance, • Mentor junior engineers and share knowledge with the team, • Build new features and improve existing user journeys What We're Looking For Essential: • 5+ years of professional frontend engineering experience, • Strong expertise in React and modern JavaScript/TypeScript, • Deep understanding of HTML, CSS, and web standards, • Experience building responsive, accessible user interfaces, • Proficiency with modern frontend build tools and workflows, • Strong understanding of state management patterns, • Experience with component-driven development and design systems, • Commitment to testing and code quality, • Excellent collaboration and communication skills, • Self-driven with ability to work independently and as part of a team Highly Desirable: • Experience with our specific stack (Vite, Turbo, Tailwind, Storybook), • Background in SaaS platforms or complex B2B products, • Understanding of web performance optimization and monitoring, • Familiarity with backend technologies to enable better cross-stack collaboration Our Tech Stack: • Framework: React, TypeScript, • Build Tools: Vite, Turbo, • Styling: Tailwind CSS, • Component Development: Storybook, • Testing: Modern testing frameworks, • State Management: Modern React patterns What Success Looks Like In your first 6 months, you will have: • Independently delivered features with high quality and minimal guidance, • Contributed meaningfully to the design system and component library, • Built strong working relationships across Product, Design, and Engineering, • Made impactful improvements to user experience and code quality, • Collaborated effectively with backend teams and other engineering groups Here’s our promise to you: • We are going to work with you - to build a rewarding and fulfilling career with the opportunities, challenges and resources you need to do you your best work., • We succeed together- you will own a meaningful part of the business through our employee shares & equity programme., • Private health insurance to keep you in tip-top condition., • Life Insurance – let's hope nobody ever needs this!, • Unlimited holidays – yes, it really is uncapped – take the time you need, when you need it., • Everyone is learning, developing and challenging themselves so we have a £1k professional development fund per year if you want to learn new skills, even new things outside of work., • Most importantly of all, we will work with you, to help you realise your fullest potential, always.

🌱 Software Engineer | Energy & Climate Tech | London (Hybrid) A fast-growing energy technology company is building the intelligence layer for a cleaner, more resilient power grid - and they’re looking for engineers who want their code to have measurable, real-world impact. The team is developing large-scale optimisation systems that coordinate EV charging, home batteries, and heating to automatically shift demand toward cleaner, lower-cost energy. The result: a smarter grid, lower emissions, and better outcomes for millions of households. Backed by top-tier investors and scaling rapidly, this company is laying the technical foundation for a low-carbon energy network. Why this role • Build systems used by millions, not demos or dashboards, • Work with real-time data, optimisation, and ML-driven decision-making, • High ownership, high trust, and meaningful influence on product direction What they’re looking for • Engineers who enjoy solving complex, real-world problems, • A genuine interest in energy, climate, or sustainability, • Comfortable working in a fast-moving startup environment Python is the primary language, but engineers from any modern OOP background are welcome. 📍 London-based hybrid setup (2–3 days onsite) If you want to work on problems that matter - and see the impact of your work in the real world - this role is worth exploring.

💻 We’re Hiring: Senior Software Engineer – Systems Improvement & Scale 🏢 Company: Car Planet 📍 Location: Enfield 🕘 Full-Time (Open to initial contract trial) Car Planet is a fast-growing car supermarket and automotive retail business building and running our own in-house platforms — including Autogrid (our core Dealer Management System), plus supporting systems like Audiofy (call intelligence) and RoutePortal (logistics & routing). We’re looking for a senior, pragmatic software engineer to inspect, stabilise, and improve live, revenue-critical systems as the business scales. You’ll work hands-on with existing production systems to improve performance, reliability, and maintainability — without disrupting day-to-day operations. 🔹 What You’ll Be Doing • Take ownership of an existing production codebase, • Identify technical debt, performance bottlenecks, and architectural risks, • Improve system stability, scalability, and maintainability incrementally, • Safely refactor critical areas without disrupting live operations, • Work across multiple internal systems:, • Primary ownership: Autogrid, • Secondary oversight: Audiofy & RoutePortal, • Review code and raise engineering standards, • Partner closely with the CEO, product, and operations teams, • Turn business problems into practical technical solutions 🔹 What We’re Looking For Essential ✔️ 5+ years professional software development experience ✔️ Proven experience working on live production systems ✔️ Full-stack JavaScript / TypeScript (Next.js, Node, APIs, databases) ✔️ Python experience (scripting, services, tooling, data processing) ✔️ Strong refactoring and system-improvement skills ✔️ Comfortable in fast-moving, imperfect environments ✔️ Able to work autonomously with strong judgement on priorities & risk Highly Desirable ⭐ C# / .NET experience ⭐ Startup or scale-up background ⭐ Technical leadership experience ⭐ Experience across multiple internal products 🔹 The Package 💰 Salary: £40,000 – £60,000 (DOE) 📝 Open to initial contract engagement before permanent hire Benefits: • 28 days annual leave (incl. Bank Holidays), • Company events, • Employee discount 🕘 Working Hours: Monday – Friday | 09:00 – 18:00 📍 On-site in Enfield 📩 Interested or know someone who fits this well? Send me a message or apply directly — we’d love to talk 👋

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. Vision In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization. Solution As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs. About the Role As Digital Engineering Tools & Platform Manager, you will own and evolve Humanoid’s engineering tooling ecosystem across mechanical, electrical, simulation, and robotics disciplines. This is a hands-on technical role focused on defining standards, enabling engineering velocity, and ensuring reliable data flow from CAD through simulation, robotics, and manufacturing.You will act as the Siemens NX (NXX) subject-matter authority, defining modelling best practices, methodologies, and automation patterns, while partnering closely with engineering leadership to scale effective ways of working. What You’ll Do • Mechanical, Electrical, Robotics, Simulation, and Controls Engineering teams, • The PLM Architect, who owns Teamcenter X configuration, data schema, and lifecycle governance, • IT and Platform teams, to ensure secure, performant, and scalable tooling environments, • The IT Director, to align engineering tooling strategy with company growth, • Engineering CAD & ECAD Platform Ownership, • Own the installation, configuration, and optimisation of Siemens NX (NXX) and Altium Designer for mechanical and electrical engineering teams., • Define and maintain NX modelling methodologies, templates, drafting standards, and reuse libraries., • Act as the NX best-practice authority and escalation point for modelling, assemblies, WAVE linking, parametrics, and performance., • Ensure tooling configuration supports consistent, scalable engineering practices rather than ad-hoc usage., • Digital Engineering & Robotics Integration, • Enable reliable CAD → simulation → robotics data pipelines across mechanical, electrical, and controls domains., • Support and guide engineers in generating and maintaining URDF-compatible robot models from NX., • Define workflows for geometry simplification, joint configuration, mesh preparation, and coordinate-system discipline., • Maintain and improve integration pipelines for Isaac Sim / Omniverse, including USD conversion, asset libraries, and validation practices., • Ensure consistency of kinematics, mass properties, and interfaces between CAD, simulation, and deployed robotic systems., • Automation & Engineering Velocity, • Develop and maintain automation scripts and tooling using NXOpen, Python, or equivalent to remove repetitive manual work., • Streamline engineering data flows from design through simulation and manufacturing., • Proactively identify friction points in the engineering toolchain and implement pragmatic improvements., • Enable engineers to move faster without sacrificing data quality or downstream reliability., • MCAD / ECAD Data & Release Enablement, • Define standards for MCAD–ECAD alignment, including housings, PCBs, connectors, harnessing, and subsystem integration., • Maintain governance over standard component libraries for both NX and Altium, in partnership with engineering leads., • Support design reviews, BOM validation, configuration control, and release-to-build workflows., • Deep, hands-on expertise in Siemens NX (NXX) within production engineering environments and strong experience on NX best practice., • Demonstrated experience defining and enforcing CAD methodologies and best practices, not just using the tool., • Strong understanding of top-down modelling, skeleton models, WAVE linking, parametric design, and assembly performance., • Experience integrating CAD data into simulation and robotics workflows (e.g. URDF, digital twins, kinematic models)., • Practical automation experience using NXOpen, Python, or similar, applied to real engineering problems., • Ability to work credibly with senior mechanical, electrical, and robotics engineers., • Comfortable operating in a fast-moving, scale-up environment — pragmatic, outcome-driven, and ownership-oriented., • Experience working alongside Teamcenter X or similar PLM platforms., • Exposure to Altium Designer and MCAD–ECAD collaboration workflows., • Familiarity with robotics simulation platforms such as Isaac Sim, Omniverse, or equivalent. What We Offer • Competitive salary plus participation in our Stock Option Plan., • Paid vacations., • Travel opportunities to our Vancouver and Boston offices., • Office perks: free lunches., • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritizing speed, transparency, and minimal bureaucracy.

You’ll lead the architecture of an AI-driven investment intelligence platform while staying deeply hands-on across the entire stack, from frontend UX to backend services, AI integrations, and core infrastructure. They've built there MVP, raised funding from experienced fintech founders and senior

Senior Software Engineer - AI Agents.Every industry has its turning point.For this company, it began with a simple observation: businesses are drowning in repetitive tasks, yet the intelligence to automate them already exists.What was missing was a way to turn cutting-edge AI into practical agents t

The successful candidate will support pharmaceutical and biotech clients in maintaining and enhancing Customer Engagement platforms, including Business Intelligence and CRM solutions. Overseeing the daily management and optimisation of Customer Engagement platforms, including CRM and BI system testi

Strategic Account Executive – Enterprise SaaS (3 Openings: Nordics, French, UK & Ireland) We are hiring three Strategic Account Executives to support growth across the Nordics, French, and UK & Ireland markets. Each role will own a dedicated territory and operate as a strategic enterprise seller. Territories: • Nordics Market, • French Market (French-speaking), • UK & Ireland (UK&I) Location: Hybrid – London or Stratford-upon-Avon (on-site once per month / once every two weeks) Employment Type: Full-time Function: Enterprise Sales (Strategic Accounts) About the Role We are hiring high-performing Strategic Account Executives to support continued growth across Nordics, French, and UK & Ireland markets. This role is ideal for experienced enterprise SaaS sellers who thrive in complex, value-based sales environments and enjoy owning a territory as their own business. You will be responsible for driving new logo acquisition, managing long sales cycles, engaging senior stakeholders, and closing high-value enterprise deals. This is an opportunity to join a fast-growing enterprise software business shaping a new category within pricing, revenue optimisation, and commercial intelligence. Key Responsibilities • Consistently exceed revenue targets through new enterprise customer acquisition, • Build and execute a territory strategy aligned to market opportunity and growth goals, • Proactively generate pipeline via outbound prospecting, supported by Marketing, Partnerships, and Customer Success, • Own the full sales cycle from initial outreach to contract close, • Manage complex, multi-threaded opportunities involving C-level and senior stakeholders, • Accurately forecast deals and maintain CRM hygiene (e.g., Salesforce), • Articulate clear business value, ROI, and commercial impact to prospects, • Collaborate with Solutions Consultants, Architects, Professional Services, and Customer Success teams, • Apply structured sales methodologies (e.g., MEDDPICC, Command of the Message) with discipline, • Act as the primary owner of your territory, treating it as your franchise Knowledge, Skills & Experience • Proven success selling enterprise SaaS solutions with a strong history of quota achievement, • Experience closing large, complex deals with long sales cycles (9–12 months), • Strong account planning and qualification skills, • Confident presenting to and influencing senior executives, • Highly organised, data-driven, and comfortable working in a fast-paced environment, • Strong communication, negotiation, and stakeholder management skills, • Ability to work autonomously while collaborating cross-functionally, • Bachelor’s degree or equivalent professional experience Required Experience • 5+ years of full-cycle B2B enterprise SaaS sales experience, • Background selling into enterprise organisations (ERP, Finance, CRM, Procurement, or adjacent SaaS preferred), • Demonstrated experience managing multiple stakeholders across buying committees Language Requirement • French Market role: Native or fluent French required, • Nordics & UK&I roles: English fluency required Preferred Attributes • Entrepreneurial, self-starter mindset, • Strong commercial and analytical thinking, • High emotional intelligence and customer-first approach, • Passion for enterprise technology and consultative selling

CRM Manager Our global law firm client is seeking a CRM Manager with strong capabilities in InterAction and Vuture to shape and deliver the firm’s CRM strategy. This role will involve line managing the CRM team members, setting objectives, supporting development, and overseeing performance. • Salary to £75,000, • Comprehensive employee benefits & wellbeing packages, • Hybrid working – 3 days in the office / 2 days remote, • Impressive offices in the City CRM Manager Key Responsibilities: • Translate strategic priorities into practical workplans and firmwide adoption programmes, • Lead the delivery of CRM initiatives across regions, ensuring consistency and best practice, • Support the firm’s Global Key Client and Strategic Growth Client programmes through insights, relationship mapping, and accurate data stewardship, • Provide supporting intelligence for pitches, pipeline development, and strategic planning, • Manage day‑to‑day performance and enhancement of InterAction and Vuture, • Lead system upgrades, enhancements, and integration projects in partnership with IT and vendors, • Use data to provide actionable intelligence that supports client plans and BD initiatives, • Design and deliver CRM training for partners, fee‑earners, PAs and BD teams, • Support international BD teams with locally relevant CRM training and engagement activities CRM Manager Skills & Requirements: • Significant experience in CRM management, ideally within an international law firm, • Proven expertise in InterAction and Vuture, including upgrades, integrations, and user education, • Excellent stakeholder management skills, including experience influencing senior lawyers, • Strong working knowledge of GDPR, PECR and international data‑protection requirements

We are seeking a proactive and highly organised Inside Sales & Order Management Specialist to join our commercial team. Sales team on quote status, potential conversions, and competitive intelligence. Work closely with Sales, Operations, Logistics, and Supply Chain to ensure best-in-class customer s

📚 Industry: Artificial Intelligence / Enterprise SaaS / Intellectual Property Workflow Automation 📈 Funding Journey: Recently closed a $20M Series A funding round led by a leading European venture capital firm, with participation from established global investors — bringing the company’s total funding to $24M. Capital is being used to accelerate growth and expand the platform globally. 👩 No of Employees: ~20 and rapidly scaling with plans to double headcount. 📍 Locations: London, with strategic expansion into the United States. 📣 Summary: A high-growth AI technology company building an AI operating system for innovation that reinvents how enterprises generate and protect their most valuable ideas. The platform unifies complex workflows across idea discovery, patent drafting and strategic protection with advanced AI, dramatically improving productivity and enabling stronger, defensible outcomes. This includes serving Fortune 500 customers and top global law firms. Title: Account Executive Location: London, Full Time Office Salary & Package: £70,000-£100,000 + uncapped commission + equity options Job Summary We are seeking a strategic, target-driven Account Executive to fuel the next phase of our commercial growth. You will own the end-to-end sales cycle — from lead qualification through closing high-value deals with mid-market and enterprise customers — and help bring transformative AI solutions to sophisticated innovation and R&D teams. This role offers the chance to work at the forefront of building category-defining software in a rapidly expanding market. You’ll collaborate with cross-functional rocket-ship teams across Marketing, Product and Customer Success to convert demand into revenue, expand strategic accounts, and deliver tailored engagements that speak to the evolving needs of modern IP, R&D, and legal organisations. Key Responsibilities: • Drive full sales cycle ownership, including pipeline development, discovery calls, demos, negotiation and closing, • Build and maintain strong relationships with senior stakeholders (e.g., Head of R&D, General Counsel, VP of Innovation), • Understand customer business challenges and champion tailored, value-led solutions, • Maintain accurate forecasting and CRM hygiene, • Partner with team functions to refine messaging, positioning, and approach for key verticals, • Contribute to the continuous improvement of sales processes and go-to-market strategies Why This Role Matters: Our platform unifies previously fragmented patent and innovation workflows into a secure, AI-driven system that saves teams time and increases defensibility of intellectual property — a crucial differentiator in today’s innovation economy. With recent funding and strong market adoption (including enterprise logos and high customer NPS), we’re poised for explosive commercial growth — and you’ll be at the heart of that journey. Experience Required • Proven success as an Account Executive in B2B SaaS sales, preferably selling AI-enabled solutions, • Experience selling to enterprise or mid-market customers with complex buying processes, • A strong track record of quota attainment and pipeline management, • Excellent communication, presentation and negotiation skills, • Ability to thrive in a fast-pace, high-growth startup environment, • Experience selling into technology, IP/legal, or R&D-focused organisations is a plus The Application Process • Initial screening call with Talent Acquisition, • Interview with Sales Leadership, • Practical sales or case-based exercise, • Final interview with senior leadership

GSR is crypto’s capital markets partner, helping founders and institutions scale with confidence. With over a decade of specialized expertise, we deliver institutional-grade market making, OTC trading, and strategic venture capital to support growth at every stage. Our value goes beyond execution. We provide access to liquidity, real-time market intelligence, and strategic guidance shaped by years' operating at the center of global crypto markets. We bridge the gap between traditional finance and digital assets, connecting teams with the capital, market access, and insights they need to build what’s next. About the Role As a DeFi Trader, you will be at the forefront of ideating, developing, and maintaining GSR’s trading algorithms across a spectrum of decentralized exchanges and underlying blockchains. This role can be based in London, Zug, or the United States, depending on the candidate’s preference and working eligibility. You will leverage the firm’s world-class trading infrastructure, access to dozens of liquidity venues, and a strong internal DeFi team to build out DeFi strategies across liquidity provisioning, principal trading, and passive yield generation. You will bring a strong risk management mindset and the ability to identify, understand, and model the novel risks that exist within DeFi. Responsibilities Develop and implement cutting-edge automated trading algorithms tailored to DeFi venues and blockchains, across a range of liquidity provisioning strategies. Conduct in-depth research and analysis to improve trading strategies and risk management techniques. Discover, test, and validate new patterns and trading signals using backtesting and performance analysis. Collaborate closely with the firm’s quantitative trading and research teams to create robust solutions for automated DeFi trading. Stay current with developments in DeFi to identify short-term trading opportunities and inform long-term strategic direction. Your Profile PhD or Master’s degree in Computer Science, Mathematics, Physics, Engineering, Quantitative Finance, or a related technical field. Prior experience with DeFi-focused trading strategies, either professionally or personally. Strong familiarity with DEXs, protocol mechanics, blockchain fundamentals, and smart contract security. Excellent logical reasoning and analytical skills. Experience writing code to process and analyze large data sets. Proficiency in software development and engineering principles. What We Offer A collaborative and transparent company culture founded on Integrity, Innovation, and Performance. Benefits include healthcare, dental, vision, retirement planning, 30 days of holiday, and free lunches when in the office. Hybrid working pattern across our global offices in London, the US, Singapore, Zug, and Malaga. Regular Town Halls, team lunches, offsites, and social events. A strong Corporate and Social Responsibility program, including charity matching and volunteer days.

We are seeking an experienced Project Sales Manager to drive specification-led sales across London and the South East for a market-leading manufacturer of intelligent light management, building intelligence and work space management. The successful candidate will be a consultative, technically credi

Care First Recruitment are currently recruiting Local Authority Business Support Officers, for various clients (London Boroughs). Ability to provide general support to the Business Intelligence Team to ensure a high-quality service is delivered to customers.

Business Intelligence & Performance Analyst. SC Cleared BI & Performance Analyst - Hybrid (London) - £525/day 'Outside IR35'. You'll be responsible for programme-level reporting, performance analysis, and.

Responsibilities: * Process incoming payments using various accounting software * Monitor accounts to identify outstanding debts * Investigate and resolve customer billing discrepancies * Generate financial reports related to accounts receivable * Collaborate with internal teams to streaml

Senior Competitive Intelligence Consultant (Life Science). Are you a seasoned life sciences strategic consultant ready to make a significant impact?. Apsida Life Science has partnered with strategic firm that is dominating healthcare consulting.

The Full Stack Data Engineer is responsible for integrating data engineering, analytics, and data science to drive business intelligence and data-driven decision-making.

AI (artificial intelligence) DevOps Engineer.Azure Kubernetes Service (AKS),.Brilliant new opportunity for a.Azure Kubernetes Service (AKS), Helm, and KEDA to join a thriving STEM business who are heavily investigating in their AI (artificial intelligence) Platform including build a best in class AI