Trabajos ai en Reino Unido - Page 10

All3 is transforming how buildings are conceived, developed and delivered. We combine AI-powered design with robotic prefabrication and on-site assembly to build custom architecture at the cost and speed of mass production -- unlocking even the most complex sites. We’re currently seeking a Reinforcement Learning Control Engineer to develop learning-based control systems for dynamic locomanipulation on our large legged robotic platform, Mantis. You’ll design reinforcement learning solutions that integrate tightly the rest of our framework to enable robust locomotion and manipulation in complex, semi-structured construction environments. Responsibilities: • Design and train reinforcement learning policies using physically grounded sensor models (LiDAR, cameras, IMUs) to support autonomous locomotion and manipulation capabilities;, • Integrate learned components within a complex software architecture, ensuring stability and reliability;, • Develop robust sim-to-real transfer strategies and ensure successful deployment of the policies to the hardware platform;, • Analyse hardware experiments, identify failure modes and iteratively improve performance and robustness;, • Collaborate closely with perception, state estimation and software engineers to deliver cohesive, real-time robotic behaviour;, • Contribute to the evolution of a unified whole-body control framework for loco-manipulation capabilities;, • This is not a simulation-only research role. The systems you build will run on hardware and must operate reliably under real-world constraints. Expertise: • Strong proficiency in Python and PyTorch; C++ experience;, • Solid understanding of ML approaches and their challenges and practical limitations in physical systems;, • Hands-on experience with legged locomotion (quadruped or biped) and/or robotic manipulation;, • Good understanding of robot dynamics, kinematics and contact modelling;, • Experience deploying learning-based components on real robotic hardware;, • Ability to reason about stability, safety and robustness -- not just reward optimisation. Would be nice if you have: • Experience with whole-body control of legged systems;, • Experience combining classical control and learning in hybrid architectures;, • Exposure to state estimation and multi-sensor integration;, • Experience with contact-rich manipulation;, • Experience in / Exposure to construction robotics, heavy machinery or large-scale physical systems. We offer: • Chance to be a part of a large-scale project;, • Team driven by impactful cause;, • Hybrid format of work with the lab located in Park Royal;, • Private dental or full medical (dental treatments aren’t covered) insurance;, • Flexible working schedule;, • 28 days of annual leave. At All3, you’ll work on one of the hardest problems in robotics: combining dynamic locomotion and manipulation into a structured, deployable autonomy system. You’ll join a small, focused team building real machines for real environments -- where physics matters, reliability matters and thoughtful engineering wins over hype.

Senior LLM, RAG & Agentic AI Consulting Engineer - Lead / Senior FDE Remote First, some trips to client offices and HQ Lead the design and delivery of complex, AI-native client engagements, spanning agentic systems, retrieval architectures and semantic layers. This is a senior, hands-on consulting role combining deep technical leadership with strong client presence, shaping both client outcomes and the firm’s long-term AI engineering capability. As client demand for AI-native transformation accelerates, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution. The Consulting Engineer is a hands-on AI systems builder who combines deep engineering craft with commercial and product thinking to design, build and deploy agentic, retrieval and ontology-based systems for enterprise clients. You will work directly with senior client stakeholders and alongside consulting and orchestration roles, translating complex business challenges into safe, reliable and measurable AI solutions. Key Accountabilities Client-Facing AI Engineering & Agentic System Design You will design and deliver production-grade AI systems for external clients, including: • LLM applications using modern orchestration patterns, prompt frameworks and evaluation loops, • Multi-agent architectures, including planning, delegation, safety constraints and monitoring, • Retrieval and vector-based systems, embeddings, structured reasoning and semantic workflows, • Ontology and knowledge modelling literacy to enable precise reasoning and data alignment, • Integrations and automation via APIs, tools and enterprise systems, • Prompt engineering at scale, including pattern libraries, guardrails and explainability checks You will lead technical design within client engagements and set architectural direction across delivery pods. Technical Discovery, Feasibility & Solution Architecture Working closely with consulting counterparts, you will: • Translate ambiguous client problems into clear, feasible engineering approaches, • Assess client data, platforms, security constraints and operating models, • Contribute to framing, use-case shaping and technical scoping discussions, • Work directly with client domain experts to surface edge cases and operational realities, • Produce clear, lightweight technical artefacts for client and internal audiences Delivery Excellence, AI Ops & Reliability You will ensure client solutions are safe, observable and enterprise-ready by: • Implementing evaluation frameworks and safety checks across models and agents, • Designing monitoring, logging, tracing and incident-response patterns, • Applying governance, risk and compliance principles within client environments, • Supporting releases, environments and handover into client operations, • Ensuring reliability, reproducibility, performance and cost controls Experience & Skills This is a senior, hands-on consulting engineering role. Candidates should bring: • Solid experience in software engineering, AI engineering, or applied data engineering, • Strong hands-on experience with LLMs, embeddings, RAG, retrieval stacks and vector databases, • Experience designing or implementing multi-agent systems or tool-calling frameworks, • Strong Python skills with experience building production-grade systems, • Experience working across at least one major cloud AI ecosystem (e.g. Azure/OpenAI, GCP/Vertex, AWS, Anthropic), • Familiarity with semantic modelling, ontologies, or knowledge graph concepts, • Proven ability to rapidly prototype solutions for client validation, • Experience working directly with clients in consulting or professional services contexts Staffworx are a UK based Talent & Recruiting Partner, supporting Digital Commerce, Software and Business Consulting sectors across the UK & EMEA.

About the Company At Cyber Guardian Consulting Group, we bring Fortune 100-caliber cybersecurity to small and medium-sized businesses. Since 2015, we've been building proactive, lightweight, and cost-effective solutions that meet and exceed modern security requirements. We're security-forward, AI-first, and obsessed with solving real problems for real clients. Headquartered in New York's Hudson Valley with offices in Hudson Yards and Brooklyn, we're now expanding to London—and looking for our first engineer on the ground to help us do it. About the Role This is a senior engineering role. You'll be the first CGCG engineer in London, which means you won't just write code—you'll help shape how we build, hire, and operate as we grow our UK presence. You'll work closely with our US-based engineering and leadership teams while laying the groundwork for what comes next in London. The role starts fully remote. Once we establish a London office, it will transition to hybrid. What You'll Do • Design, develop, and maintain API-based integrations with third-party platforms, • Build and maintain RESTful services, webhooks, and asynchronous workflows, • Troubleshoot integration failures, API errors, and data inconsistencies, • Work with external vendors and internal stakeholders to understand integration requirements, • Ensure integrations meet security, performance, and reliability standards, • Write clear documentation for integration logic, APIs, and data mappings, • Monitor integrations and improve observability (logging, alerts, retries), • Help shape engineering culture and hiring as we build out the London team Required Qualifications • Strong experience working with REST APIs and JSON/XML payloads, • Proficiency in Python or other backend languages, • Proficient or experienced with cloud technologies such as AWS, Azure, or GCP, • Experience debugging API issues using logs, monitoring tools, and API clients, • Comfortable working with relational databases and SQL, • Strong communication skills and ability to collaborate across teams and time zones Nice to Haves • Hands-on experience integrating with third-party SaaS systems (ERP, HRIS, CRM, finance platforms, etc.), • Working knowledge of frontend programming (JavaScript, HTML, CSS), • Comfortable working with Excel, • Experience with authentication methods such as OAuth 2.0, API keys, JWT, • IT background with experience supporting, integrating, or administering enterprise software systems, • Exposure to SOC 2, GDPR, or enterprise security requirements, • Experience with Infrastructure as Code (CDK, CloudFormation, or Terraform), • Knowledge of CI/CD pipelines and deployment automation, • AWS certification, • Comfortable using AI tools in day-to-day work Why This Role? • First on the ground – You'll be the founding engineer in London, with real influence over how we grow here, • Ownership – Own major pieces of our integration infrastructure, from architecture to deployment, • High-Impact Work – Your code ships fast and directly supports our clients, • Career Growth – As the London team grows, so do your opportunities to lead it, • Startup Energy + Stability – We move quickly, backed by real clients, real revenue, and real partnerships What We Offer • 25 days holiday + bank holidays, • Pension scheme with 10% employer contribution, • 2% interest rate reduction on home mortgages, • Professional development & life assistance programs, • Snacks sent to your door—you pick, we pay, • 50% off Apple products, • UberEats credits & life insurance, • Peloton discounts & bi-monthly video game tournaments, • Pet insurance, • And more!

Join us at Entrust At Entrust, we’re shaping the future of identity centric security solutions. From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world moving safely. Get to Know Us Headquartered in Minnesota, Entrust is an industry leader in identity-centric security solutions, serving over 150 countries with cutting-edge, scalable technologies. But our secret weapon? Our people. It’s the curiosity, dedication, and innovation that drive our success and help us anticipate the future. About the Team: You'll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machine learning, ensuring secure remote customer onboarding. By assessing government- issued identity documents and facial biometrics using state-of-the-art machine learning, we provide companies with the assurance they need to operate securely while allowing people to access services quickly and safely. Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy models to serve our worldwide customer base. Position Overview: We are looking for a Senior Applied Scientist to design and train cutting-edge machine learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection and/or efficient ML. What you will be doing: • Push the frontier of research in areas such as deepfake detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on-device ML., • Publish research results in national and international conferences and scientific journals. Work with product and engineering to improve our world-class identity-focused products. Representative work: • Implement bias-mitigation strategies to build fair face-matching and deepfake-detection models., • Train and benchmark large-scale vision-language models for document extraction., • Train a multi-modal document understanding model from scratch using synthetic data. Optimise LoRA adapter latency in PEFT/Triton., • Profile, debug and improve model training speed on multiple GPUs., • Create a large-scale dataset for deepfake detection., • Experiment with multimodal models to detect fraud. You may be a good fit if you: • Have strong experience in machine learning and computer vision., • Have a strong record of successfully delivering high-performance ML-driven products., • Have a deep understanding of machine learning theory., • Have strong coding skills in Python and PyTorch., • Care about building fair and cutting-edge machine learning products. Strong candidates may also have: • Technical experience in one or more of the following areas: face matching, bias mitigation, anomaly detection, document understanding or on-device ML., • Published at top-level machine learning conferences. Experience optimising (distributed) training code. Where you will be: This role is based in our London, UK office and follows a hybrid model, requiring in-office presence three days per week. Benefits UK • 25 days annual leave plus a day off for your Birthday., • Two paid volunteering days per year.*, • Bupa Private Medical and Dental Insurance*, • Pension with The People’s Pension (employer contribution 4% of base salary)*, • Generous paid parental leave, • Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy, • Dedicated learning opportunities including using tools like Linkedin Learning with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more, • Our open and transparent culture is reflected in our “Better Together” motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events, • Expense up to £300 (or local equivalent) to purchase workstation setup equipment, • The opportunity to become a member of Entrust’s resource groups in order to learn different skills in our belonging groups Ready to Make an Impact? If youʼre excited by the prospect of working on cutting-edge machine learning for problems that matter, Entrust is the place for you. Join us in making a difference. Letʼs build a more secure world—together. Apply today! NO AGENCIES, NO RELOCATION #LI-GR1 #ENT123

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

Full Stack Developer London, Marylebone (Hybrid/Onsite) Are you a developer who loves building products, not just features? Do you thrive at the intersection of robust backend logic, intuitive frontend interfaces, and conversational AI? Are you excited to join a fast-growing, seed-funded startup transforming construction procurement? If you want to own a product from the database to the UI, we’d love to hear from you. About Us At Prolo, we’re reinventing procurement for the construction industry using AI. Our platform helps customers source materials effortlessly across WhatsApp, email, and phone—saving time and money with zero setup. We’re a small, ambitious team of 10 that moves fast, trusts each other, and enjoys building genuinely impactful technology. Your Role As a Full Stack Developer you won’t just be ticket-crunching. You will own the end-to-end experience of our platform. You’ll be responsible for architecting scalable backend services that power our AI engine while ensuring the frontend experience is world-class. You’ll: • Build & Own: Lead the development of new features across the entire stack (Node/Python, React, and Postgres)., • AI Integration: Design and build the interfaces and APIs that allow our users to interact seamlessly with LLMs and conversational agents., • Product Thinking: Work directly with the founders to define the roadmap and turn customer insights into production-ready features., • Workflow Optimization: Support our AI-led procurement engine with high-quality data integration and scalable workflows., • User Experience: Ensure our chat and workflow interfaces are intuitive, fast, and reliable for real-world users in the field., • Scale: Help shape our engineering culture and technical architecture from the ground up as we grow. What We’re Looking For • The Full Stack: Strong experience with modern frontend frameworks (React) and backend environments (Node.js, Python, or similar)., • Startup DNA: You are comfortable in a fast-moving, seed-stage environment where you often have to figure things out from scratch., • Product Mindset: You care about why we are building something, not just how. You are user-focused and commercially aware., • AI Curiosity: Deep interest in LLMs and conversational products; experience with AI APIs is a significant plus., • Ownership: You take pride in shipping high-quality, tested code and seeing it deliver value to customers. What’s in It for You? • Equity: Become a true stakeholder in Prolo’s success., • Impact: Real ownership over a core product that construction firms rely on daily., • Tech: Work on cutting-edge conversational AI technology., • Location: Join us in our Marylebone office with a flexible hybrid rhythm., • Culture: A high-trust environment that values pace, transparency, and impact. Apply today and help us build the future of construction at Prolo. Prolo Ltd is committed to creating an inclusive and diverse workplace. We welcome applicants from all backgrounds No Agencies!

Trade Infrastructure/Reliability Engineer - Systematic Hedge Fund The Trading Infrastructure Engineer will be part of a highly talented team of support engineers responsible for ensuring high availability of mission critical services such Infrastructure as a Service (IaaS), Build & Deploy, Research and Trading. The candidate will be responsible for providing support across all services globally distributed across APAC, EMEA and AMER regions.. Company Highlights: • Over £100bn AUM, trading a broad range of asset classes, • Software firm first - Massively data and tech driven, ML/AI is integrated into all of their trading strategies, • Significant investment in infrastructure to support large-scale software growth, • Massive on collaboration - encourage cross team interactions, flat structure with access to the founder and C level individuals Tech Stack: • Experience in Linux/Unix administration (RHEL/CentOS/OEL preferred), • Proficiency in Python, Bash scripting, • Good working knowledge of storage and different storage protocols (nfs gpfs a plus), • Experience with Infrastructure automation (Chef, Puppet or Ansible), • Experience with Kafka or like messaging buses, • Experience with CICD tooling, • Experience with Monitoring infrastructure (ELK and Prometheus preferred), • Database administration experience (MySql or PosgreSql preferred), • Experience in container software administration (Docker, Podman, Kubernetes, GKE or Helm preferred), • Working knowledge with TCP/IP, multicast, tcpdump, clocking (PTP, NTP), • Ability to navigate network equipment command line If the described opportunity sounds of relevance to your profile and interests please apply and share your CV!

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., • Manage test data logs and reports, creating automated dashboards that highlight pass/fail rates and performance trends over time We’re Looking For • 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, • Simulation: [e.g., Unity, Ignition, Isaak] 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 How to Apply Does this role sound like the perfect fit for you? Fill in the form and include links or files that showcase the best of what you’ve built and achieved.

Job Overview The XVA Quant will be sitting within the XVACCR, Collateral & Credit Quantitative Research. The mandate of the quant team is to produce quantitative modelling and innovative solutions for XVA, Counterparty Risk, Collateral and Credit topics. The quant team regularly interacts with a broad scope of internal clients: • XVA and Scarce Resources desk for XVA pricing and modelling, • Risk department for Internal & Regulatory CCR, Accounting XVA, and SIMM, • Collateral desk for discounting, SIMM and IMVA with CCPs, • Trading and Risk Management for Credit derivatives. The quant team closely works with the business to study and assess the models’ behavior and performance. It also plays a significant role in several strategic XVA and RWA projects by producing computational blocks using cutting-edge modelling and implementation techniques to ensure the bank can cope with the increasing list of regulatory measures (XVAVaR, SACCR, FRTB-CVA …) and metrics needed to manage our XVA reserves properly (Optimization modules, Sensitivities with AAD, Machine Learning …). The quant team continuously builds and upgrades XVA libraries and platforms to implement regulatory changes in an optimized architecture. The team is also actively participating in developing the Collateral management platform for CCP and EMIR Initial Margin and working on various FO and Risk systems migration projects, supporting the XVA and Scarce Resources Management and Collateral Management functions. Responsibilities • Define and implement tools and pricing models for Collateral management activity (IMVA-CCP, SIMM …), • Define and implement mathematical tools and pricing models for XVA-linked activity, • Interact and support Trading, RPC and IT partners. Essential Requirements • High programming skills (C++, SQL, C#, VBA …)., • Good knowledge of numerical methods such as: Monte Carlo, Optimisation algorithms, … ., • Recent experience and strengths in most of the following:, • Distributed computing and Inter-process communication, • Multi-threading programming, • Microsoft products: Office, VC++, VBA, • SQL, Access, Oracle, • Web technologies: XML, XSLT, • Strong team orientation, ability to work alone and highly self-motivated, • Able to adapt and learn new technologies quickly, • Results and time oriented, • Excellent analytical and problem-solving abilities, • Creative, can devise and implement multiple solutions, • Good communication skills - both verbal and written, • Previous experience XVA and/or RWA optimisation Who We Are Our Expertise We provide high-impact consulting across five key domains: • Quantitative Finance — Model design, implementation and validation., • Risk & Regulatory — Risk frameworks and regulatory transformation., • Data & AI — Data optimisation and AI adoption with strong governance., • Digital & Technology — Cloud, engineering, automation and digital solutions., • Transformation — Change management and large-scale delivery programmes. Our Commitment Built on excellence, collaboration and innovation, Quanteam partners with clients to strengthen resilience, accelerate transformation and build future-ready capabilities. We are committed to a diverse and inclusive workplace where all individuals are respected and valued. We welcome applicants from every background and uphold equality across all characteristics. Diversity drives innovation and strengthens our ability to deliver exceptional results. Our aim is an environment where everyone can thrive and contribute to collective success.

About Persistent: We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem. Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 21 sequential quarters of growth with $389.7M in Q1 FY26 revenue, up 3.9% Q-o-Q and 18.8% Y-o-Y growth. Our 25,000+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been named the fastest-growing Indian IT services brand in the “Brand Finance India 100” 2025 report. We were also cited as a Leader in the ISG Provider Lens™ 2025 for Digital Engineering Services 2025 and the Everest Group Talent Readiness for Next-generation Application Services PEAK Matrix® Assessment 2025 About Position and details: • Role: Senior Power BI Architect, • Location: 37 Clarendon Road, Watford, • Hybrid: 2 days to office, • Job Type: Permanent role We are looking for a highly skilled Senior Power BI Architect to lead the design, development, and optimization of enterprise-scale BI solutions. This role requires deep technical expertise in Power BI, data modeling, and performance tuning, especially for large and complex datasets. The ideal candidate will be proficient in tools like DAX Studio, Tabular Editor, and Azure-based data services. Key Responsibilities: • Architect and implement scalable Power BI solutions for enterprise reporting., • Lead the BI roadmap: consolidation, migration, and modernization (e.g., SSRS/Excel to Power BI; on-prem to AWS Glue + Amazon Athena + Amazon Redshift + Amazon QuickSight)., • Design and optimize complex data models using Tabular Editor and DAX Studio.  Manage and optimize very large datasets (VLDB) for performance and scalability., • Collaborate with business stakeholders to gather requirements and translate them into technical solutions., • Lead performance tuning, including DAX optimization and query diagnostics., • Ensure data governance, security, and compliance across BI platforms., • Mentor junior BI developers and enforce best practices., • Expert-level proficiency in Power BI, DAX, Power Query, and data modeling., • Strong experience with DAX Studio and Tabular Editor for performance tuning and model management., • Proven ability to manage and optimize very large datasets in Power BI and Azure., • Solid understanding of SQL, ETL processes, and data warehousing., • Familiarity with Azure Synapse, Data Lake, and Analysis Services (AAS/SSAS)., • Competitive salary and benefits package, • Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications., • Opportunity to work with cutting-edge technologies., • Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards, • Annual health check-ups “Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

Based in Hammersmith [onsite 5 days] Who Are We Hansen Technologies is a leading global provider of software and services that enable organisations to transform customer experiences and streamline critical business processes. With a rich history of innovation and a footprint that spans over 80 countries, Hansen empowers utilities, energy, and communications companies to thrive in an ever-evolving digital landscape. Our commitment to excellence, customer focus, and collaborative culture makes Hansen a place where passionate professionals can make a meaningful impact, drive real change, and help shape the future of industries worldwide. We are proud to be an equal opportunities employer. Hansen prides itself on celebrating diversity and is committed to creating an inclusive environment for all employees, even extending this to how we work with our customers, partners, and suppliers. We welcome applications from all qualified candidates, regardless of age, disability, gender identity or expression, marital status, race, ethnicity, religion or belief, sexual orientation, or any other protected characteristic. If you require any adjustments or accommodation during the recruitment process, please let us know. Why This Role Matters Design and Innovate, Enable and Empower, Transform and Scale. This is more than an engineering role—it’s a strategic enabler. You’ll design and deploy advanced AI architectures, foster adoption through enablement programs, and act as a trusted advisor to stakeholders. Your contributions will directly influence how we leverage AI to create measurable business outcomes and maintain our position as a leader in intelligent automation. What You’ll Do • Design AI Solutions: Architect and prototype advanced AI systems leveraging multi-cloud platforms (AWS, Azure, GCP) and large language models., • Build Scalable Architectures: Develop secure, robust, and future-ready AI frameworks that integrate seamlessly with enterprise technology stacks., • Collaborate Cross-Functionally: Partner with software engineers, data scientists, and business stakeholders to deliver optimized AI solutions., • Drive AI Adoption: Create and lead enablement programs, workshops, and hands-on labs to upskill teams and foster a culture of innovation., • Evaluate Emerging Technologies: Continuously assess new AI tools and frameworks for integration into our ecosystem., • Advise Strategically: Act as a subject matter expert, guiding stakeholders on best practices, integration opportunities, and change management. What You Bring • Expertise in cloud platforms (AWS, Azure, GCP) and multi-cloud integration., • Deep understanding of large language models, machine learning frameworks, and AI architectures., • Proficiency in programming languages (Python, Java, C#)., • Strong analytical and problem-solving skills for complex system design., • Experience with DevOps practices and deploying scalable AI services., • Excellent communication and collaboration skills for cross-functional engagement., • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field., • 1+ years of experience in AI engineering (in-house or consulting)., • Strategic mindset with ability to turn vision into actionable steps. Benefits and Perks Join us for a rewarding career with competitive compensation, leave entitlements, health coverage, and financial security. Enjoy work-life balance, growth, and recognition for your exceptional performance. Our team will unveil the intricacies of our benefit package during the selection process.

A product-led SaaS business is hiring a Front End Developer with a strong focus on Angular to help build and scale a modern, customer-facing web platform. This is a hands-on role for someone who enjoys working on complex interfaces, data-driven products and clean, well-structured front end architecture. You will work closely with product and engineering teams to deliver high quality user experiences, taking ownership of features from build through to release. This role suits someone who wants to stay deeply technical rather than move into management. Role: Front End Developer (Angular) Salary: £70,000 to £80,000 Location: Fully remote, UK based What you will be doing: • Designing and building front end features using Angular and TypeScript, • Developing reusable components and scalable UI patterns, • Working with reactive programming concepts using RxJS, • Collaborating with product managers and engineers to scope and deliver features, • Writing well tested, maintainable code with performance in mind, • Improving existing front end architecture and contributing to technical standards, • Using modern tooling and AI assisted workflows to speed up development, • Owning features end to end, from initial build to production support What you will need: • Strong commercial experience with Angular and TypeScript, • Solid understanding of modern front end architecture and best practices, • Experience working with RxJS and reactive patterns, • Confidence writing tests and maintaining high code quality, • Background working in SaaS or digital product environments, • Comfortable working remotely and communicating clearly with distributed teams, • A proactive, delivery-focused mindset What’s on offer: • Fully remote working within the UK, • Opportunity to work on a modern, evolving product, • High ownership role with real influence on front end decisions, • Collaborative engineering culture focused on quality and delivery If you are a front end developer who enjoys Angular, cares about clean code and wants to work on a meaningful digital product, this role is well worth exploring.

About Medly AI We're the fastest growing EdTech startup in London, on a mission to change education forever. We're living through a once-in-a-generation moment where AI-native companies are redefining entire industries - Cursor for code, Midjourney for image gen, Harvey for law. Medly is building a generational company for education. In just 4 months since launch, we've achieved retention rates that beat Duolingo and delivered personalized education to over 100,000 users. We're looking for ambitious talent to join our team. Backed by impact-focused VCs and supported by partners including UCL, Innovate UK, Microsoft, and Google, we're becoming the go-to AI education platform for all major exams worldwide. The Role We are looking for a passionate Junior Fullstack Engineer to join our growing team at Medly. This is a new role working closely with our hands-on Technical CEO and other Full Stack Engineers to build and improve our web and mobile products. You will play a pivotal role in high-impact projects across our entire stack, from crafting polished user interfaces in Next.js and React Native to building robust backend services in Python. This is a high-impact opportunity for someone eager to learn fast, take ownership, solve real problems, and help power the next generation of educational technology. Role Responsibilities • Build and maintain features across our web app (Next.js) and mobile app (React Native), • Contribute to our Python backend and help improve API performance, • Collaborate on database design and write efficient queries in Postgres, • Work with AWS services to deploy and maintain our infrastructure, • Ship polished, user-facing features that directly impact student learning, • Collaborate closely with the CEO and other Full Stack Engineers on high-impact projects Technical Requirements • Recent graduate or up to 1 year of professional experience, • Familiarity with JavaScript and Next.js (React or React Native experience is a plus), • Basic knowledge of Python, • Understanding of SQL and relational databases, • Eagerness to learn cloud services (AWS experience is a plus but not required) Ideal Candidate • Quality Focus: Obsessive attention to detail and commitment to shipping polished, bug-free experiences, • Collaborative Spirit: Ability to work closely with designers, product managers, and other developers, • Educational Interest: Passion for education and learning, though specific EdTech experience isn't required, • Startup Mindset: Thrives in fast-paced environments with rapid iteration and high impact, • Innovation Drive: Excited by the opportunity to build cutting-edge educational technology What We Offer • Competitive salary, • Opportunity to make a real impact on educational outcomes for students worldwide, • Collaborative, diverse team united by a powerful mission, • Fast-paced environment with significant growth and development opportunities, • Regular team events and a culture focused on innovation and impact, • Work on products used by tens of thousands of students daily, • Shape the future of AI-powered education

All3 is transforming how buildings are conceived, developed, and delivered. We combine AI-powered design with robotic prefabrication and on-site assembly to build custom architecture at the cost and speed of mass production - unlocking even the most complex sites. We’re currently seeking a Software Engineer – Simulation / Unreal Focus to join our team, focused on building a deterministic, physics-accurate simulation platform for multi-robot construction assembly. You will develop high-performance Unreal-based systems that replicate real-world robotic behaviour and enable large-scale autonomy testing. Responsibilities: • Building a scalable, headless, deterministic simulation platform for multi-robot on-site construction assembly;, • Simulating coordinated robotic systems operating in shared physical space. Including manipulation, contact, constraints, tolerances, and assembly sequencing;, • Implementing physically grounded sensor models (LiDAR, cameras, IMUs) to support autonomy and perception development;, • Designing high-performance data bridges between Unreal Engine and external C++/Python robotics stacks to enable large-scale scenario testing and AI validation. Expertise: • Experience (2 years+) delivering high-fidelity, performance-critical systems in Modern C++ and Unreal Engine;, • A strong foundation in mathematics and physics, with the ability to reason from first principles., • Comfortable working inside complex real-time systems, writing clean, maintainable C++ within Unreal’s framework., • A physics-first mindset: you think in forces, constraints, contact, timing, and determinism — and care about replicating real-world behaviour accurately in code., • Experience shipping titles or deploying simulation products is highly valued. We offer: • Chance to be a part of a large-scale project;, • Team driven by impactful cause;, • Hybrid format of work with the lab located in Park Royal;, • Private dental or full medical (dental treatments aren’t covered) insurance;, • Flexible working schedule;, • 28 days of annual leave.

All3 is transforming how buildings are conceived, developed, and delivered. We combine AI-powered design with robotic prefabrication and on-site assembly to build custom architecture at the cost and speed of mass production - unlocking even the most complex sites. We’re currently seeking a Senior Perception Engineer to lead the development of our 2D/3D perception systems, enabling reliable manipulation and autonomy in complex, semi-structured construction environments. You’ll architect and implement the perception capabilities deliver reliable manipulation and autonomy in dynamic and unstructured environments. Responsibilities: • Design, develop, and deploy 2D and 3D perception pipelines for object detection, tracking, segmentation, etc.;, • Ensure robust perception for manipulation under varying environmental conditions., • Fuse and calibrate data from multiple sensors (RGB, depth, IMU, etc.) to achieve reliable scene understanding;, • Train and fine-tune domain specific perception models from scratch for novel and semi-structured construction environments;, • Design and integrate end-to-end pipelines, from data acquisition and labeling to inference, deployment, and feedback-based improvement;, • Lead integration and testing of perception systems in simulation and real-world hardware environments;, • Collaborate closely with manipulation, control, and autonomy engineers to deliver cohesive, real-time robotic behavior. Expertise: • Strong proficiency in Python and C++ for production-grade robotics software., • Deep understanding of computer vision and 3D perception;, • Proven ability to build perception models from the ground up, including data generation and augmentation, model design, and optimization;, • Experience designing, integrating, and maintaining end-to-end perception pipelines, from raw sensor data to deployed systems;, • Hands-on experience with sensor selection, placement, and calibration., • Expertise in training and fine-tuning models for perception in novel or domain-shifted environments;, • Solid foundation in MLOps, including dataset management, training infrastructure, and deployment pipelines. Nice to have: • Experience in construction robotics, heavy machinery, or large-scale manipulation tasks., • Familiarity with vision-language models and their use in robotic task planning., • Experience deploying optimized, reliable, real-time perception code on embedded or distributed robotic systems. We offer: • Chance to be a part of a large-scale project;, • Team driven by impactful cause;, • Hybrid format of work with the lab located in Park Royal;, • Private dental or full medical (dental treatments aren’t covered) insurance;, • Flexible working schedule;, • 28 days of annual leave. At All3, you’ll shape the next frontier of architecture and robotics, where AI meets construction. You’ll work alongside world-class roboticists, designers, and engineers to push the limits of what’s possible in autonomous building systems.

DevOps & Software Manager (Azure/PHP) – Remote - £100,000-£120,0000 + bonus 🚀 We’re exclusively partnered with a market-leading mortgage technology platform company, who last year released their flagship product which has resulted in them winning awards and becoming the most successful solution on the market. With major platform expansion, increased user adoption and migration, and new product innovation in AI underway, they’re entering a new phase of growth and this role plays a key pillar in their development teams. This is an environment where impact is immediate, you’ll work closely with the director of development while leading a team of 6 made up of 3 PHP developers & 3 DevOps Engineers to lead and take ownership of DevOps strategy and direction, lead cloud native infrastructure at scale and influence how modern fintech platforms evolve What you’ll be doing: • Leading and mentoring DevOps and Development teams (team size 6, growing), • Owning CI/CD pipelines, cloud infrastructure, and operational reliability, • Driving automation, scalability, performance, and cost optimisation, • Partnering closely with engineers to deliver cloud-native solutions Requirements: • Strong commercial PHP experience (essential), • Strong experience with Microsoft Azure and cloud-native architectures, • Proven experience with CI/CD pipelines and modern DevOps practices, • Expertise in Infrastructure as Code (Terraform / ARM), • Proficient with Git and version control workflows, • Experience with Docker and Kubernetes (AKS desirable), • Strong scripting skills (PowerShell / Bash), • Experience leading/managing a team This is a hugely exciting role and opportunity for someone who’s looking for a step up, opportunity to grow across the board and work for a business with a fantastic culture, team and product! The role is remote or with visits to the London/Ipswitch office once/twice a month (preference) but not required, the team is scattered remotely across the UK. You’ll receive a generous package including a salary up to £120,000 + 12% performance bonus (paid last 2 years) and a very strong benefits package that values you, your work life balance and family!. Please apply immediately as interviews are looking to be scheduled! (great business + team) DevOps & Software Manager (Azure/PHP) – Remote - £100,000-£120,0000 + bonus 🚀

Senior Backend Engineer – Remote first, London office (UK) 💰 £65k–£75k | ⏳ Full-time, 4-day work week I’m working with an exciting client who is looking for a Senior Backend Engineer to join their mission-driven team transforming frontline public services with AI. This is a unique opportunity to work on cutting-edge technology that helps teams delivering citizen services, from employability and housing to well being and justice, reduce admin, improve compliance, and spend more time on meaningful human work. What You’ll Do: • Build and scale core backend systems, APIs, data pipelines, and integrations, • Collaborate with CTO, product, and design teams to deliver tools used by real frontline workers, • Write maintainable, tested, and secure code that scales with real-world impact, • Make key technical decisions and help shape architecture as the product grows What We’re Looking For: Our client isn’t just hiring skills, they’re hiring the right person. You’ll thrive in this role if you are: • Passionate about the work you do and the impact it has, • Driven and invested in building technology that improves lives, • Reliable and consistent, with a strong sense of ownership and judgement You’ll also bring: • 5+ years of professional engineering experience, building backend services/APIs for enterprise-grade applications, • Expertise in Python/Flask; async patterns a plus, • Hands-on experience with AWS or similar cloud platforms, • Interest or experience in AI systems/LLMs Why Join: • Help reshape how frontline services work in the UK and beyond, • 4-day work week (paid for 5) and remote-first flexibility, • Work with a small, mission-driven team backed by world-class partners, • Be part of something transformative and build tech that truly matters If you care about code quality, values, and real social impact, please send your CV to

About the Team: You'll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machine learning, ensuring secure remote customer onboarding. By assessing government- issued identity documents and facial biometrics using state-of-the-art machine learning, we provide companies with the assurance they need to operate securely while allowing people to access services quickly and safely. Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy models to serve our worldwide customer base. Position Overview: We are looking for an Applied Scientist II to design and train cutting-edge machine learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection and/or efficient ML. What you will be doing: • Push the frontier of research in areas such as deepfake detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on-device ML., • Publish research results in national and international conferences and scientific journals. Work with product and engineering to improve our world-class identity-focused products. Representative work: • Implement bias-mitigation strategies to build fair face-matching and deepfake-detection models., • Train and benchmark large-scale vision-language models for document extraction., • Train a multi-modal document understanding model from scratch using synthetic data., • Optimise LoRA adapter latency in PEFT/Triton., • Profile, debug and improve model training speed on multiple GPUs., • Create a large-scale dataset for deepfake detection., • Experiment with multimodal models to detect fraud. You may be a good fit if you: • Have strong experience in machine learning and computer vision., • Have a strong record of successfully delivering high-performance ML-driven products., • Have a deep understanding of machine learning theory., • Have strong coding skills in Python and PyTorch., • Care about building fair and cutting-edge machine learning products. Strong candidates may also have: • Technical experience in one or more of the following areas: face matching, bias mitigation, anomaly detection, document understanding or on-device ML., • Published at top-level machine learning conferences. Experience optimising (distributed) training code. Where you will be: This role is based in our London, UK office and follows a hybrid model, requiring in-office presence three days per week. Benefits UK • 25 days annual leave plus a day off for your Birthday., • Two paid volunteering days per year.*, • Bupa Private Medical and Dental Insurance*, • Pension with The People’s Pension (employer contribution 4% of base salary)*, • Generous paid parental leave, • Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy, • Dedicated learning opportunities including using tools like Linkedin Learning with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more, • Our open and transparent culture is reflected in our “Better Together” motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events, • Expense up to £300 (or local equivalent) to purchase workstation setup equipment, • The opportunity to become a member of Entrust’s resource groups in order to learn different skills in our belonging groups Ready to Make an Impact? If youʼre excited by the prospect of working on cutting-edge machine learning for problems that matter, Entrust is the place for you. Join us in making a difference. Letʼs build a more secure world—together. Apply today! NO AGENCIES, NO RELOCATION #LI-GR1 #ENT123

About Our Client Our client is a global leader in Digital Resilience, providing a cutting-edge platform that protects organizations from the most sophisticated cyber attacks. As an AI-first company, they are revolutionizing the cybersecurity landscape by integrating advanced machine learning directly into their products to outsmart attackers at scale. The Role We are seeking a Senior AI & ML Engineer with a strong foundation in machine learning fundamentals and hands-on experience with modern generative AI and Large Language Models (LLMs). You will work on cutting-edge AI functionality across a flagship cybersecurity platform, building scalable, performant systems that harness the power of data, ML models, and infrastructure. Key Responsibilities: • Design, develop, and deploy production-grade ML/AI features — from data prep and model training to inference APIs and monitoring., • Integrate and scale LLMs & generative AI within product workflows, including fine-tuning, prompt engineering, RAG (retrieval-augmented generation), and agentic systems., • Collaborate with product, backend, and frontend teams to deliver impactful AI-driven experiences., • Take ownership of features by monitoring their functionality and effectiveness after deployment (observability). Technical Requirements: • Proven professional experience as an ML/AI Engineer., • Expert proficiency in Python (for ML development) and JavaScript/TypeScript (for production integration)., • Deep understanding of ML/DL frameworks such as PyTorch and scikit-learn., • Hands-on experience with state-of-the-art foundation models, embeddings, and RAG., • Strong knowledge of cloud computing, microservices, API design, and event-driven architectures., • Experience with Jupyter notebooks for data exploration and model iteration. About You: • You are driven, empathetic, and thrive in environments with high autonomy., • You have a customer-centric mindset and care deeply about outcomes., • You are comfortable with technical trade-offs, moving quickly while building secure and scalable solutions., • You are enthusiastic about staying at the forefront of AI innovation. Benefits & Perks: • Equity & Bonus: Competitive base salary plus a performance-based bonus and equity plan., • Flexibility: Fully remote working arrangements (in similar time zones) or access to offices in London and Barcelona., • Growth: A monthly budget for coaching and self-improvement (courses, conferences, workshops)., • Well-being: Comprehensive Health Insurance for you and your family, gym membership (Wellhub), and 25 days of vacation + public holidays., • Family Support: Enhanced Maternity/Paternity leave., • Culture: One volunteer day per year and a "day off" on your birthday. Equal Opportunity Our client is an equal opportunity employer and values diversity at their company. They do not discriminate based on race, religion, color, national origin, devices, gender, sexual orientation, age, marital status, or disability status.

Remote (located near Slough/Glasgow for periodical office visits) Competitive + Bonus + Benefits Permanent full time We’re hiring in AI Operations to lead the end‑to‑end delivery of GenAI initiatives across IRIS International. This is a hands‑on role for someone who wants full ownership of how AI is identified, designed, implemented, and optimised within our teams. The role centres on improving efficiency, accuracy, and productivity through practical AI solutions. You will scope opportunities, build and deploy tools yourself, monitor their performance, and ensure they deliver measurable impact. You’ll work closely with teams across IRIS International, but you will be the primary driver of the AI process from start to finish. Why This Role Matters You will be responsible for identifying where GenAI can make a difference, building the solutions that support those improvements, and evaluating the outcomes. The work you do will have a direct influence on our productivity and day‑to‑day operations, including how teams work, how knowledge is used, and how processes evolve. This is a role where your technical decisions will shape how AI functions across our international operations. What You’ll Be Doing • Analyse operational processes to identify where GenAI can improve efficiency or accuracy, • Scope, design, and build GenAI‑driven solutions end‑to‑end, • Implement AI tools into existing workflows and ensure smooth adoption, • Monitor performance and assess the impact of solutions once deployed, • Refine and optimise tools based on real‑world usage, • Maintain documentation and develop standard operating procedures, • Ensure all AI processes meet best‑practice standards, • Design and deliver training to upskill colleagues on AI tools, • Support teams through workflow changes driven by GenAI adoption, • Collaborate with content teams to improve the knowledge base that powers GenAI accuracy, • Facilitate cross‑team knowledge sharing to encourage consistency and innovation Why This Role Is a Strong Opportunity • Significant ownership across the full AI lifecycle, • Freedom to experiment, design, and implement solutions, • Ability to define standards and shape early‑stage AI foundations, • Exposure to senior stakeholders and cross‑functional teams, • Opportunities to develop technical, operational, and leadership capability, • Direct impact on productivity, workflows, and long‑term operational strategy What We’re Looking For • Technical background in computer science, DevOps, or similar, • Experience designing and implementing AI or automation solutions, • Strong AWS experience (essential), • Excellent problem‑solving capabilities and a creative approach to solution‑building, • Confidence in experimenting, testing, and iterating on new ideas, • Strong communication skills, with the ability to work across different communication styles, • Comfortable working independently with full end‑to‑end ownership, • Ability to combine technical thinking with practical operational understanding Our Application Process • Initial Recruiter Conversation: A first discussion to talk through your experience, the role, and whether it feels like the right fit., • First‑Stage Interview With the Hiring Manager: This will include a short technical assessment, sent to you in advance., • Final Interview With the Hiring Manager and Senior Director: A deeper conversation exploring your approach, capability, and how you would operate in the role. Please note: occasionally we will close applications early due to high volume

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. The Work As a Staff Engineer, Front End, you will be working on Palisade - Ripple’s flagship wallet as a service platform enabling businesses, fintechs and banks to build digital asset treasury, payment and exchange use-cases. What you’ll do • Modern React expertise: You have solid experience building responsive web applications using ReactJS and TypeScript. You are comfortable with hooks, context, and state management., • Form handling: You have experience building complex forms and implementing robust validation logic. You know how to make data entry easy for the user while ensuring data integrity., • Styling proficiency: You have a knack for creating polished UIs. Experience with Styled Components is a major plus, but ultimately, you know how to translate designs into pixel-perfect reality., • User-obsessed mindset: You don't just write code; you build products. You are passionate about the User Experience (UX). Experience with Figma or similar design tools is a plus, helping you bridge the gap between design and engineering., • Clean code philosophy: You care deeply about the quality of your craft. You strive for simplicity, strictly adhere to DRY (Don't Repeat Yourself) principles, and write code that is readable and maintainable., • Collaborative spirit: You are a genuine team player who thrives in a collaborative environment. You communicate clearly, welcome code reviews, and enjoy solving problems with your peers., • Testing culture: You believe that code isn't complete until it's verified. Experience with testing frameworks (like Jest or Cypress) is highly valued to ensure reliability., • Performance focus: You understand that a slow app is a bad UX. You keep performance in mind from the start, optimizing for load times, bundle sizes, and smooth rendering., • Smart tooling usage: You leverage the right tools for the job—including AI assistants—to be efficient, but you are transparent about their use. You verify every output, ensuring that you maintain full understanding and ownership of the code you ship., • Industry interest: While not required, previous experience in Web3, blockchain, or fintech is considered a plus.What You'll Bring, • Proven track record of building and delivering backend systems from development to production, • Hands-on experience working on large-scale distributed systems, • Familiarity with event-driven micro-services, Kubernetes, and cloud-based infrastructure, • Familiarity with gRPC and protocol buffers, • Ability to work in a fast-paced start-up environment and be a core contributor to the success of the company, • A self-starter that thrives on autonomy and can see a task through from start to finish, • A positive attitude with a passion for acquiring and sharing knowledge Do Your Best Work • The opportunity to build in a fast-paced start-up environment with experienced industry leaders, • A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning., • Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team., • In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in., • Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team, • Competitive salary, bonuses, and equity, • Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support, • Employee giving match, • R&R days so you can rest and recharge, • Generous wellness reimbursement and weekly onsite & virtual programming, • Generous vacation policy - work with your manager to take time off when you need it, • Industry-leading parental leave policies. Family planning benefits.

Backend Engineer (AI Platform) - London £80k–£100k + EMI equity About the Role We’re hiring a Backend Engineer to build the core infrastructure behind Revax’s AI-native platform for professional services. You’ll design, optimise, and scale the systems that power multi-agent drafting, knowledge graphs, and auditable AI workflows used by accountants, tax advisors, and consultants at leading firms. This is not a “ticket-taking” role -you’ll work directly with the founders, own critical backend services end-to-end, and help define how AI systems are built responsibly in regulated domains. If you enjoy designing clean APIs, scaling Python services, and building systems that actually ship to paying customers, this role is for you. Compensation: £80,000–£100,000 base + EMI equity Location: London About Revax Revax is building a new class of AI-native software for tax advisory firms. Today, professional services teams spend countless hours drafting, reviewing, and re-drafting work - constrained by fragmented knowledge, manual workflows, and brittle tooling. We turn a firm’s own expertise into structured, auditable, AI-powered systems that draft, analyse, and explain deliverables with full provenance. We’re a fast-moving, well-funded startup backed by leading angels, already working with major firms, and building at the intersection of AI agents, knowledge graphs, and real-world enterprise workflows. What You’ll DoBuild & own core backend systems · Build and optimise databases for complex, real-world data · Design and implement APIs using FastAPI for AI workflows and product features · Build and scale LangGraph-based multi-agent systems with checkpointing, retries, and observability · Integrate and scale vector search, knowledge graphs (Neo4j), and associated retrieval pipelines into production services · Deploy and operate GPU-backed services for AI workloads (e.g. inference, embeddings, or agent pipelines) in production Scale & operate production infrastructure · Deploy services on GCP (Cloud Run / GKE) or equivalent cloud infrastructure · Improve performance, reliability, and cost efficiency (latency, throughput, retries, backoffs) · Implement security-first patterns: auth flows, service-to-service auth, IAM, and access controls · Help prepare the platform for enterprise customers (SSO, auditability, compliance ready patterns) Collaborate closely with founders & product · Shape system architecture and API design alongside full-stack and ML engineers · Translate ambiguous product ideas into robust backend implementations · Iterate quickly based on real customer usage and feedback What We’re Looking For Essential · 2-3 years building backend systems for real users · Production experience with FastAPI (or similar modern Python frameworks) · Solid understanding of API design, PostgreSQL, and distributed systems fundamentals · Experience deploying and operating services on cloud infrastructure (GCP, AWS, and Azure) · High ownership mindset: you care deeply about reliability, correctness, and outcomes Strong Plus · Experience with LangGraph, RAG pipelines, vector databases, or knowledge graphs · Familiarity with Neo4j or graph-based data modelling · Experience working on AI-native or agentic systems · Comfort working in early-stage startups with ambiguity and speed · Experience deploying and working with GPU services for AI workloads Bonus · Exposure to professional services, finance, tax, or regulated workflows · You actively use modern AI coding tools (Cursor, Claude Code, etc.) · Strong instincts for developer experience and internal tooling Why Revax · Real ownership over core backend infrastructure · Work directly with founders on high-impact technical decisions · AI-native product with real customers and immediate feedback · Modern stack: Python, FastAPI, LangGraph, Postgres, Supabase, Neo4j, GCP · Meaningful early-stage equity: we hire owners, not passengers · A lean, low-ego, high drive team that ships fast and cares about their work Practical details · London based (strong preference for in office collaboration) · Visa sponsorship available

Software Engineer – High-Performance Computing & Quant Tech HMx Labs – London (Hybrid), Permanent, ~£70k + benefits HMx Labs is a boutique consultancy focused on the messy, interesting intersection of high-performance computing, cloud, and quantitative finance. We help banks, hedge funds, and vendors design, build, and debug serious compute platforms – from CPU/GPU clusters for risk calculations to low-latency analytics and large-scale simulations. We’re hiring a Software Engineer to work in the HPC side of the company. One day you might be talking to finance quants about risk workloads, the next you’re deep in conversation with GPU engineers about kernels, memory layouts and performance – and plenty in between. More than a perfect CV, we care that you’re smart, highly motivated, and that you actually care about HPC (and maybe finance too). You should enjoy understanding how systems behave at a low level and be happy jumping between domains. You must have • The right to live and work in the UK indefinitely, • At least 1 year of experience as a software engineer in paid full-time employment, • Knowledge and commercial experience with at least one of, Java, C# or Python, • Experience with at least one non-managed / manual-memory language, e.g. C, C++, Rust. Experience working in financial services technology (risk, trading, analytics, etc.) Nice to have but not deal-breakers: • Experience with distributed systems, job schedulers, or batch frameworks, • Working with GPUs (CUDA, ROCm, or similar), • Familiarity with numerical methods, Monte Carlo, or risk systems, • Prior consultancy or client-facing experience About HMx Labs We’re a small, specialist shop, not a giant body-shop. That means: • You’ll have real ownership and direct impact on client work, • You’ll see a wide range of interesting HPC and quant problems, not the same ticket farm every day, • You’ll work closely with people who actually care about performance, correctness and cost – not just buzzwords Anyone applying with a recommendation from someone who has worked with HMx Labs goes to the top of the pile. Location, salary & working style • Role: Permanent, full-time, • Location: London-based, hybrid (some time in the office / with clients is expected), • Salary: Around £70k + benefits, depending on experience How to apply (and one important request) I’ll make the same offer as last time: I won’t use AI to filter or assess candidates if you don’t send me AI-generated applications or apply without thought. Deal? That means I will actually read your application, but in return: • Don’t send an obviously AI-generated CV or cover letter, • Your CV, • A short note explaining your experience with either HPC or financial services tech (or both)

🚀 Deployment Strategist - London – Permanent Here’s one for the big-picture thinkers who also get things done. This fast-growing tech company has raised $12M in funding and is backed by Palantir, DeepMind, and SAP. Their platform helps global enterprises finally make sense of their complex ERP systems, saving millions and speeding up transformation projects that usually take years. The role: You’ll sit at the intersection of technology, product, and client success, working directly with enterprise customers to deploy the platform, ensure adoption, and feed insights straight back into product development. You’ll be: • Leading onboarding and deployment across global clients, • Translating complex tech into business value and actionable results, • Partnering with engineering and product to guide feature priorities, • Building scalable playbooks for repeatable, high-impact deployments You’ll bring: • Experience across SAP, product, or implementation roles (technical or hybrid), • Excellent communication and stakeholder management skills, • Curiosity for AI, automation, and innovative tech, • Ability to thrive in a fast-moving, high-growth environment Why you’ll love it: • $12M funding and early traction with enterprise clients, • Real impact, your work directly drives success for global customers, • Work with a world-class team backed by Palantir, DeepMind, and SAP, • Competitive salary, equity, private healthcare, flexible leave, monthly wellbeing budget and more If you like the idea of a role that’s equal parts product, client, and innovation, this one’s worth a chat.

Join an innovative AI and robotics start-up – London This deep-tech company is developing next-generation autonomous platforms across ground, air and marine systems, combining embedded software, edge AI and robotics to deliver adaptive, real-world autonomy. The team are now looking for an Autonomous Platforms / Edge AI Developer to support the design and deployment of intelligent systems running directly on embedded and edge hardware. You’ll work closely with researchers, roboticists and embedded engineers, helping translate advanced AI and control concepts into reliable, real-time software on autonomous platforms. For this Autonomous Platforms / Edge AI Developer role, we are looking for someone with: • Strong experience developing C++ software for embedded or edge systems, • Experience deploying algorithms on real robotic or autonomous platforms, • Background working with robotics middleware such as ROS / ROS2, • Understanding of real-time constraints, sensor fusion and control systems, • Ability to optimise software for hardware-constrained environments, • Ideally, experience with SLAM, autonomy, or AI-driven decision-making systems What Next? If you’re a software engineer or robotics developer who enjoys building real-world autonomous systems at the intersection of embedded software and AI, then please apply today to learn more! For more information on this role, or any other jobs across Embedded, Robotics, Edge AI or Autonomous Systems, please contact me, Callum Allen, today.

Position Overview: Risk Advisory Managers are project leaders who help our clients navigate the complexities of SOX, deliver internal controls focused projects, and coach and develop our people. Our clients represent a broad range of public or soon-to-be public companies, from new IPOs, mid and large cap companies, and Fortune 1000s. Principal Duties and Responsibilities: Project Delivery: · Leads multiple concurrent SOX projects in various maturity stages (new implementation, recurring projects, and limited/defined scope projects). · Sets realistic deadlines with the client and internally with the team. · Seen as the principle point of contact by the client and CFGI leadership for each project. Engagement Management: · Schedules and manages teams/individuals of various staff level(s) based upon project need and scope. · Effectively manages the workload of the various teams/individuals, while making progress towards project milestones to deliver work on-time and on-budget. · Ensures the team member timecards are submitted timely and accurately; responsible for the review of budget-to-actuals and review of invoices. · Communicates project status frequently (via email, phone, virtually, and/or in person) to the client and to the project’s Partner. Technical Acumen: · Fluency in implementing SOX for newly public companies, including the design of age/stage appropriate controls, providing practical guidance and controls implementation and the management of/remediation of gaps and deficiencies. · Expert proficiency in drafting and reviewing control design language, flowcharts, narratives, IPE, and determining system(s) and application(s) scoping. · Advanced understanding of Big 4 sampling, testing, and deficiency evaluation methodologies. · In-depth experience in the review of SOC-1 Type II reports and relevant CUEC mapping, including sub-service organizations. · Working proficiency and understanding of IT General Controls, SEC guidance as it pertains to the SOX requirements for different filer types, PCAOB, and AICPA audit standards. Education and Experience Requirements: · 5+ years of direct, client service/ client facing experience in commercial audit, risk advisory, or technical accounting, with at a minimum 3 years at a Big Four or a large national firm. · Undergraduate degree in accounting or similar field from an accredited university. · CPA or equivalent combined with solid accounting experience are preferred but not required. · Strong project management skills with the ability to multi-task between responsibilities, prioritize and manage multiple requests. · Excellent interpersonal, written, and oral communication skills, and ability to assimilate easily into teams. · Strong analytical and critical thinking abilities. · Excellent communication and presentation skills, both verbal and written. · Exceptional virtual and in-person executive presence. · Entrepreneurial nature, self-motivated, ethical, and dependable. · As a professional, you must understand the unique pressures of client service and the occasional challenges of unpredictable working hours to meet project deadlines and/or client requests for travel, as necessary. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

AI Business Analyst | London | £600 per day | Outside IR35 | 3 Days Onsite An AI Business Analyst is required to join a growing AI Centre of Excellence, focused on delivering applied AI solutions across generative AI, machine learning, and data automation. This role translates business intent into clear, structured requirements that guide the design and delivery of high-impact AI use cases. Working closely with Product, Data, Engineering, and AI Quality teams, the position ensures alignment between business value, technical feasibility, and data readiness. Key Responsibilities: • Refine and expand AI use cases across generative, predictive, and automation workflows, • Define detailed business, functional, and field-level data requirements, • Map datasets and metadata to model needs (LLMs, embeddings, RAG, classifiers), • Collaborate with Engineering on feasibility, integrations, and data flows, • Support agile ceremonies, backlog refinement, and sprint planning, • Proven Business Analyst experience within product, data, or AI environments, • Hands-on exposure to AI/ML or LLM-based solutions, • Strong understanding of how data, models, and APIs interact, • Confident translating business needs into structured requirements and acceptance criteria, • £600 per day, • Outside IR35, • 3 days per week onsite in London

About the Role We are seeking a Data Protection Specialist to join our client’s London-based team. This role is suited to experienced privacy professionals who combine strong regulatory expertise with the ability to manage delivery across complex client environments. The position involves hands-on advisory work alongside oversight of projects and stakeholder coordination. About Us Lex Dinamica is a data privacy and strategy consulting firm dedicated to transforming complex data privacy challenges into actionable solutions. The firm provides extensive services, including DPO outsourcing, Data Privacy Managed Services, Organizational Strategy & Governance, Risk Management, AI Compliance, and GRC management. Lex Dinamica specializes in building privacy-conscious organizations, enabling them to thrive in the AI-driven and data-centric world. With a focus on fostering trust, the firm highlights data privacy and AI as strategic advantages beyond compliance requirements. Your Responsibilities • Advise on UK GDPR, EU GDPR, and other applicable global data protection frameworks, • Design and enhance data protection policies, governance structures, and operational controls, • Lead DPIAs, compliance assessments, gap analyses, and remediation programmes, • Manage end-to-end delivery of data protection projects across legal, compliance, and technology functions, • Oversee junior team members and coordinate multi-disciplinary workstreams, • Act as a primary contact for senior client stakeholders and internal leadership, • Support proposal development and contribute to internal best practices Experience and Qualifications • Strong experience in data protection consulting, advisory, or in-house privacy roles, • In-depth knowledge of GDPR and broader international privacy regulations, • Demonstrated experience managing projects and supervising delivery teams, • Ability to translate regulatory requirements into practical, business-aligned solutions, • Strong written drafting and stakeholder communication skills, • Fluent English; additional European languages advantageous, • Certifications such as CIPP/E, CIPM, or equivalent preferred Role Details • Full-time position, • Hybrid working model based in London, • Competitive compensation aligned to experience, • 26 days annual leave with potential to increase, • Opportunity to work on multi-sector, international projects Our Process The data you provide us with will be processed exclusively for job placement requirements and assessing your application against our clients' requirements. You may withdraw your application at any time by getting in touch with a member of our team, via LinkedIn or contact details found on your website. You may ask us to keep your information on file for any future opportunities. For more information, or for part-time opportunities, get in touch with our team via LinkedIn. Lex Dinamica is proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment at or through Lex Dinamica is based on substantive ability, objective qualifications, and work ethic – not an individual’s background, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law.

Paralegal - Innovation & AI Specialist US Law Firm Competition / Antitrust London Up to £60k A really exciting opportunity has arisen at a top tier US law firm who are leading the way in technology and AI for an innovation specialist paralegal to support the fee earners. The Role You will be embedded in the competition / antitrust team and assist the lawyers in merger reviews, investigations and regulatory matters from a technology perspective. You will take time with the team to understand their requirements and then liaise with the third party provider of the software to set up the tools to be used effectively which will include building and testing the AI prompts. The role will also include horizon scanning and adopting new technology as it arises, especially GenAI tools. There will be an element of project and change management involved to ensure the successful roll out of new legal tech products. Alongside this you will assist with know-how and training for the team. The Requirements It is anticipated you will have a law degree / GDL / SQE1 and will either be an experienced competition / antitrust paralegal who has experience with legal technology and AI. Or currently be in a legal tech / innovation role and seeking a new challenge. This innovation specialist opportunity is a rare role so apply today to find out more! Lunaria Partners are advertising this competition paralegal / innovation paralegal / antitrust paralegal role on behalf of our client. We strive to respond to all applications but due to the volume received, this isn't always possible. If you have not heard from us in 7 days your application has been unsuccessful on this occasion.

Lead the delivery of AI-enabled, cloud-native platforms in a highly regulated enterprise environment. We're hiring a Software Engineering Lead to take ownership of technical delivery, architecture, and team leadership on a major cloud and AI programme within a global financial services organisation. This role blends hands-on engineering with leadership, stakeholder engagement, and accountability for high-quality delivery. What's in it for you • Annual Salary from £75,000 - £82,000 doe, • 12-month contract - Inside IR35 - PAYE, • 5 days on-site, Central London, • Opportunity to lead enterprise-scale AI/ML solutions What you'll be doing • Providing technical leadership across engineering teams, • Owning architecture and delivery of cloud-native systems on AWS, • Leading the implementation of AI/ML solutions, including LLM-based applications, • Partnering with product and senior stakeholders, • Ensuring engineering controls, governance, and SDLC best practices What we're looking for • Expert-level Java and/or Python experience, • Experience leading engineers and owning delivery, • Strong hands-on AWS experience (compute, networking, security, observability), • Experience delivering AI/ML systems, particularly LLM and RAG-based solutions, • Strong DevOps and SDLC knowledge (CI/CD, IaC, testing, SRE practices) Interested? Apply for immediate consideration. Happy to discuss the role in confidence.

About Native Native is a VC backed AI startup building the world’s most accurate AI for databases reasoning. This is hard. This is an unsolved problem that once solved will change how every enterprise operates. We recently published our results, achieving rank 1 on the industry standard benchmark. Our research team is based in London. Everyone has high agency, obsessed with the problem we are solving, embraces the intensity of a 6-day week and has the ambition to build something world changing. We are a exceptional engineers and researchers taking a novel approach to accurate database reasoning. About the role This is a founding role, with opportunity to shape the architecture from day one. • Productionise research into robust backend services, • Design and build APIs used by internal systems and customers, • Work deeply with databases (SQL, complex schemas, real-world data), • Own scaling, performance, and reliability of backend systems, • Design for correctness, observability, and reproducibility, • Think through edge cases, failure modes, and system boundaries, • Help shape the backend architecture of the company from early days Required experience • Experience with Python in production systems, plus at least one additional backend language (e.g. Rust, Java, Go), • Experience building and running production backend systems, • Comfortable turning ambiguous research or ideas into real software, • Solid understanding of APIs, databases, and distributed systems, • Engineering taste: you care about clarity, correctness, and trade-offs, • High ownership mindset. You ship, you own, you improve Why join us This is a rare chance to join a founding team operating at the frontier of AI, with the resources to win. • Impact: You will push the frontier of foundation models for an under-explored, massively valuable domain., • Team: We are a small, collaborative, world-class research team based in central London., • Founding level equity + competitive salary: We want you to share in the upside of what we are building. As part of the founding team, you will receive meaningful ownership alongside a salary that allows you to focus on building something great., • Direction: Chance to shape the direction of a new class of foundation model from day one. Culture • At Native, we look for people with exceptional engineering ability, who want to win., • Everyone loves building and is ambitious enough to want to change how the world operates for the better., • We run towards hard problems., • We are creative problem solvers, who keep going until we find the underlying principle of the problem, and build to solve that., • If you have an entrepreneurial spirit, are intrinsically motivated and want to have a huge impact, we are a great fit.

Cloud Automation Engineer - LawTech Oliver Bernard are seeking a Cloud Automation Engineer to join a small team for a legal client of ours. You will need to be able design, build, and manage automation solutions using Azure Automation, Power Platforms, and Azure AI Services The ideal candidate will have proven experience in Cloud Automation and have the following skills: • Focus on Azure Automation, Power Platform, and Azure AI Services, • Be able to provide Infrastructure Support across Azure and On-Prem Services, • Strong Scripting: Proven, hands-on expertise in PowerShell and/or Python, • M365 Knowledge: Experience with the administration of a Microsoft 365 tenant This is an on-site opening, based in London 3 days p/week and can offer up £50-70K dependent on experience. Cloud Automation Engineer - LawTech

Head of Engineering / VP of Engineering I’m working with a fast-growing AI company at the forefront of real-time market intelligence, supporting some of the world’s leading financial institutions. They’re now looking for a Head of Engineering (or VP of Engineering) to lead their next stage of technical and team scale-up. This is a strategic and hands-on leadership role, combining technical vision, team growth, and delivery across products powered by LLMs, forecasting models, and scalable API platforms. Key Responsibilities • Own the technical strategy and execution across the company’s core products, including real-time APIs, data pipelines, and LLM-powered analytics., • Collaborate closely with Product and Data Science to deliver a forward-thinking technology roadmap., • Lead, mentor, and scale a high-performing engineering team (currently ~10), nurturing a culture of ownership, speed, and technical excellence., • Make key architectural decisions, ensuring system scalability and data infrastructure performance., • Maintain high engineering standards while remaining close to critical technical choices., • Recruit top talent and build a strong, inclusive team culture., • Oversee DevOps, InfoSec, and internal IT, ensuring smooth and secure operations., • Sit on the leadership team and act as a key bridge between engineering, product, and commercial. What I’m Looking For • 8+ years of engineering leadership within B2B SaaS, ideally in AI/ML or data-focused environments., • Experience growing teams through start-up to scale-up (Series A/B); time in both early-stage and mature environments is a bonus., • Strong technical foundation in Python, distributed systems, cloud infrastructure (Azure preferred), and modern scalable architectures., • Solid grasp of Agile practices, continuous delivery, and high-performing lean teams., • People-first leadership style, with a proven ability to build and nurture high-performing teams., • Exposure to machine learning, NLP, or financial data products is highly advantageous.

Hey! We're team Granola 👋 If you haven't already, you should check out ___, and ___. We’re looking for an engineer who loves building products in a fast-paced, iterative environment. In this role, you will come up with new ways to unlock value for our users using LLMs and enhance the quality and performance of our application. You’ll be talking directly with users to understand their problems and develop the features they need most. You will be part of the founding team and help unlock Granola for the next 100x users. In this role, you will: • Own the development of new user-facing features end-to-end. Things like: agentic workflows, real time collaboration and lots of 0 to 1 prototyping, • Optimise the application for speed, scale, and reliability, • Interact with users to understand their problems and design solutions, • Collaborate with a cross-functional team of engineers, product managers, designers, and other members of the team to create a cutting-edge product Your background looks something like: • Engineering experience at tech and product-driven companies, • Proficiency with TypeScript, Node.js, and React.js (Framer Motion, Tailwind and Radix is a strong plus), • Proficiency with relational databases like Postgres, • Experience with cloud infrastructure (we use AWS and Terraform) As a person, you… • Are first and foremost a builder, • Are excited to work in-person from our office in London (most of the time), • Love working in a startup environment (you either have experience working in a startup or are really drawn to the zero-to-one phase), • Value working with people who are kind, ambitious, and pragmatic, • Have an interest in AI/ML (direct experience not required), • Thrive in a fast-paced environment with evolving requirements and priorities About the opportunity We are living in the most exciting time for tool builders since ___ in 1968. We want to assemble the best crew to build this future together, here in London. Our compensation philosophy is to pay slightly above market on salary and above market on equity. We do our best work in person, and so our team spends time together five days per week in our new, bright, and spacious office at Old Street. We are happy to offer relocation assistance to candidates who'll be moving to London to join us. Lastly, we think amazing talent comes from all kinds of life journeys and experiences. If what is written above speaks to you, whether you look like a fit on paper or not, please reach out.

AI Startup in London – Hiring Full-Stack Engineers (Senior) – 5 days a week on-site – up to £150k I am working with a rapidly growing AI startup based in London, building next-generation products that transform how businesses use technology. They are looking for highly talented engineers who are ambitious, driven, and eager to make an impact. Roles Available: 🔹 Full-Stack Engineer – Strong expertise in TypeScript, React, Python and Golang. They can consider someone who its more frontend, or backend leaning, but the expectations is to work across the stack and pick up languages that you are not familiar with. What We’re Looking For: ✔️ A degree from a top university in Computer Science, Engineering, or a related field ✔️ Demonstrated ambition and drive, reflected in career achievements and working history ✔️ Ability to thrive in a fast-paced, collaborative startup environment ✔️ Commitment to on-site work in London, 5 days a week If you are passionate about building cutting-edge products and want to work alongside ambitious colleagues in central London, please apply. AI Startup in London – Hiring Full-Stack Engineers (Senior) – 5 days a week on-site – up to £150k

Product Engineer Location: London or NY Duration: 12 months | Start: ASAP | Interview: Video | Rate: Open Overview: Build and deploy multi-agent AI systems that automate complex financial workflows. Own the full lifecycle—from architecture and development to deployment, reliability, and scale—while working directly with investment firm customers. Key Responsibilities: • Design, build, and deploy multi-agent AI workflows, • Convert complex workflows into reusable platform components, • Own reliability, performance, and customer adoption, • Develop orchestration logic, tools, templates, and pipelines, • Collaborate with customer engineering teams for deployments, • Influence platform architecture and core components, • Use AI tools for coding, testing, debugging, and workflow automation Required Skills: • 4+ years in product-focused software development, • Strong Python; experience with system design and end-to-end ownership, • Experience building or using AI/LLM workflows, • Ability to translate ambiguous requirements into technical solutions, • Tech stack: Python, React/NextJS, FastAPI, MongoDB, Redis Nice to Have: • Experience with LLM/agentic workflows, • Financial domain exposure (investment, credit, risk, ESG), • Cloud/infra: AWS/Azure, Kubernetes, Terraform, CI/CD, • Startup experience or building internal frameworks/tools

SENIOR DATA ENGINEER – AI PLATFORM • Opportunity for a Senior Data Engineer to join a high-growth AI-powered SaaS organisation in London, • Offering a salary up to £85,000 + strong benefits package including hybrid working and the opportunity to shape production-grade data infrastructure WHO ARE WE? Due to continued growth, we’re supporting an established AI-driven technology organisation that builds scalable data and machine learning platforms for enterprise clients. The business focuses on transforming complex first-party data into production-ready decision intelligence tools, embedding AI into daily commercial operations rather than delivering one-off projects. As demand grows, they’re expanding their engineering capability to strengthen and scale their data foundations. THE SENIOR DATA ENGINEER ROLE: This is a senior, hands-on engineering role focused on building and evolving the structured data pipelines that power AI-driven SaaS products. You’ll design and maintain high-performance ETL and ELT pipelines across operational and analytical layers, working heavily with SQL and Python-based orchestration. You’ll contribute to schema design, scalable data modelling, and metadata-driven frameworks that enable repeatable, production-ready outputs. The role also involves CI/CD automation, environment governance, and supporting the integration of machine learning outputs into live production systems. You’ll collaborate closely with Data Scientists and AI Engineers to ensure models are robust, monitored, and embedded into reliable pipelines. Alongside delivery, you’ll help shape engineering best practice, mentor others in SQL and pipeline design, and strengthen DataOps standards across the wider team. This position suits someone who enjoys building reusable, scalable infrastructure and wants their work to directly power real-world AI solutions. SENIOR DATA ENGINEER ESSENTIAL SKILLS: • 3+ years’ experience in a Data Engineering or platform-focused role, • Strong SQL expertise (T-SQL, PostgreSQL or similar), • Python for orchestration and data tooling, • Experience building ETL/ELT pipelines in cloud environments, • Strong understanding of dimensional modelling and data architecture principles, • Experience working with CI/CD pipelines and Git-based workflows, • Exposure to Azure, AWS or GCP, • Comfortable collaborating across Product, AI, and Delivery teams, • Strong problem-solving skills and attention to detail TO BE CONSIDERED: Please either apply through this advert or email me directly via . By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS Data Engineering, Python, SQL, ETL, ELT, Azure, AWS, GCP, CI/CD, Git, Data Modelling, Cloud Data Platforms, Machine Learning Integration

Conveyancing Team Leader (Qualified Solicitor / Licensed Conveyancer / CILEX) Location: London Salary: £60,000 – £65,000 An award-winning London-based property law firm is seeking a Conveyancing Team Leader to join its growing residential property department. This is an exciting opportunity to step into a leadership role within a forward-thinking firm that combines legal expertise with cutting-edge technology. The firm is recognised for its innovation, service standards and modern approach to conveyancing. The Firm This specialist property practice has built a strong reputation for delivering high-quality residential conveyancing services at scale, without compromising on client care. The firm is award-winning and technology-driven, operating with a bespoke case management system designed to maximise efficiency and transparency. Significant investment has been made in modern systems, automation and AI tools to streamline processes and enhance both client and lawyer experience. The culture is progressive, collaborative and performance-focused, with clear structures and strong operational support. The Role The successful candidate will: • Supervise and support a team of conveyancers and fee earners, • Provide technical guidance and oversight on residential conveyancing files, • Ensure compliance, quality control and service standards are maintained, • Assist with training, mentoring and performance development The Ideal Candidate • Qualified Solicitor, Licensed Conveyancer or Chartered Legal Executive, • Strong background in residential conveyancing, • Previous supervisory or team leadership experience preferred, • Confident managing performance, workflow and compliance, • Comfortable working within a tech-enabled, process-driven environment, • Commercially aware with strong organisational skills Why Apply? • Salary £60,000 – £65,000, • Leadership role within an award-winning property firm, • Reduced caseload to allow focus on supervision and team development, • Bespoke case management system, • Significant investment in technology and AI-driven efficiencies, • Modern, forward-thinking working culture, • Clear structure and operational support This is an excellent opportunity for a conveyancing professional looking to progress into, or further develop, a leadership career within a highly regarded and innovative London property firm. For a confidential discussion, please get in touch.

About Native Native is a VC backed AI startup building the world’s most accurate AI for databases reasoning. This is hard. This is an unsolved problem that once solved will change how every enterprise operates. We recently published our results, achieving rank 1 on the industry standard benchmark. Our research team is based in London. Everyone has high agency, obsessed with the problem we are solving, embraces the intensity of a 6-day week and has the ambition to build something world changing. We are a exceptional research engineers and scientists taking a novel approach to accurate database reasoning. About the role This is a founding research engineer role, with the opportunity to set the research agenda and shape the architecture from day one. • Drive foundational research and engineering for reasoning over complex tabular data, • Design, implement, and iterate on new encoders (including graph transformers) for complex heterogeneous data, • Develop creative and impactful self-supervised learning objectives and translate them into production-ready systems, • Scale novel foundation models across huge datasets, • Build, optimize, and maintain scalable training and evaluation pipelines, • Fine-tune foundation model embeddings into high-value downstream tasks, • Work hands-on across the full stack, from research ideas to deployed systems, • Guide and mentor an exceptional team of research engineers Required experience • Proven ability to lead or significantly contribute to teams tackling hard research-engineering problems, • MSc / PhD in Mathematics, Physics, Computer Science, or a related field, • Strong hands-on experience building, training, and scaling foundation models with modern ML tooling (PyTorch, Ray, JAX), • Strong background in graph neural networks and transformer architectures, • Demonstrated ability to turn research ideas into robust, scalable implementations, • Comfortable owning whatever needs doing, from research prototypes to infrastructure, • Experience optimizing large-scale training runs on GPU clusters Why join us This is a rare chance to join a founding team operating at the frontier of AI, with the resources to win. • Impact: You will push the frontier of foundation models for an under-explored, massively valuable domain., • Team: We are a small, collaborative, world-class research team based in central London., • Founding level equity + competitive salary: We want you to share in the upside of what we are building. As part of the founding team, you will receive meaningful ownership alongside a salary that allows you to focus on building something great., • Direction: Chance to shape the direction of a new class of foundation model from day one. Culture • At Native, we look for people with exceptional research and engineering ability, who want to win., • Everyone loves building and is ambitious enough to want to change how the world operates for the better., • We run towards hard problems., • We are creative problem solvers, who keep going until we find the underlying principle of the problem, and build to solve that., • If you have an entrepreneurial spirit, are intrinsically motivated and want to have a huge impact, we are a great fit.

Software Engineer | Building Intelligent Systems That Make an Impact Central London 4 or 5 days a week on site Existing SC or DV Clearance is required National Security Sector An exciting opportunity has arisen for a Software Engineer to join a cutting-edge team developing impactful, mission-driven technology. The role offers the chance to contribute to projects such as AI-powered tools for analysts and operators, secure data pipelines, and innovative prototypes that explore new frontiers in software capability. You’ll become part of a tight-knit, highly capable engineering group that values independence, precision, and tangible outcomes. This is a place for people who enjoy solving complex problems, experimenting with new ideas, and seeing the real-world effects of their work. Key Skills and Attributes • Skilled in producing robust, readable, and scalable code, • Adaptable and eager to master new technologies or unfamiliar environments, • Excellent communicator who thrives in cross-functional collaboration, • Engaged participant in agile processes, including stand-ups and sprint reviews, • Comfortable taking projects from initial concept through to delivery, • Analytical thinker who can decompose challenges and deliver iterative value Preferred Background • Experience using Java, C++, or Python, • Understanding of data-intensive systems, backend services, or cloud-based platforms, • Familiarity with regulated, high-security, or mission-critical development contexts, • Confidence working in research-led or exploratory project settings, • Curiosity about artificial intelligence, public sector innovation, or national security technology, • Interest in influencing technical direction and supporting team evolution over time This role is ideal for someone who wants to push boundaries, collaborate with talented peers, and build software that delivers genuine impact. You’ll have the autonomy to explore, innovate, and shape solutions that matter.

Senior Data Engineer Location: London (Hybrid: 2–3 days onsite) Industry: AI / Data / Analytics A high-growth, award-winning AI & data analytics scale-up is looking for a Senior Data Engineer to join its core engineering function and help power platforms processing millions of customer insights every day. This is a chance to work at serious scale, solving complex data problems for enterprise organisations with tens of millions of users, while building systems that directly drive commercial impact. The Opportunity You’ll play a key role in designing, building, and scaling cloud-native data platforms that transform vast volumes of raw interaction data into reliable, high-impact intelligence. Working closely with product, analytics, and engineering teams, you’ll help create fast, resilient, and secure data pipelines that teams across the business depend on daily. If you enjoy building production-grade data systems, optimising performance under real-world load, and owning platforms end-to-end, this role will suit you well. What You’ll Be Doing • Designing and scaling high-performance data pipelines handling millions of data points, • Architecting cloud-native data platforms built for reliability, speed, and growth, • Translating business and analytics requirements into robust technical solutions, • Automating workflows to improve efficiency and reduce operational overhead, • Integrating data systems across multiple products and services, • Monitoring, troubleshooting, and continuously improving system performance, • Proactively identifying and resolving bottlenecks and data quality issues, • Owning documentation for architecture, pipelines, and operational processes, • Evaluating and introducing new tools and technologies as the platform scales, • Strong experience building and scaling data platforms and pipelines, • Deep cloud experience (AWS, Azure, or GCP), • Advanced SQL skills and experience with at least one backend language (Python, Scala, Java, etc.), • Hands-on experience with data warehouses, ETL/ELT, and distributed systems, • A mindset focused on performance, reliability, automation, and scalability, • Confidence working cross-functionally and owning technical decisions, • Work on cutting-edge AI and data technology at meaningful scale, • Join a fast-growing, profitable business recognised by the Financial Times and industry awards, • Hybrid working model with flexibility and autonomy, • Flat structure where senior engineers have real influence and visibility, • Strong emphasis on personal development, learning, and career progression, • Inclusive, supportive culture with a proven commitment to diversity

Senior Machine Learning Engineer Location: London, UK About the Role We’re looking for an experienced Machine Learning Engineer to lead the development and training of advanced large-scale language models. In this role, you will be responsible for pushing the performance and reliability of next-generation AI systems, specifically focusing on models that assist with complex real-world tasks. You’ll work closely with cross-functional teams including infrastructure, product and research to shape both the training pipeline and the evaluation of highly capable models. Key Responsibilities • Design and execute large-scale training experiments on multi-GPU and distributed environments using cutting-edge ML frameworks., • Lead both supervised fine-tuning (SFT) and reinforcement learning (RL) workflows to improve model performance on domain-specific tasks., • Build, maintain, and optimise custom training pipelines, including dataset preparation, distributed training primitives, and scheduling of multi-node jobs., • Collaborate across engineering and research teams to align training goals with product priorities and performance metrics., • Troubleshoot training challenges such as stability, scaling issues, and GPU utilisation bottlenecks. What We’re Looking For • Experience: 3–5+ years working in ML engineering or applied machine learning roles, with hands-on responsibility for training and deploying models in production-like environments., • Technical Skills:, • Strong proficiency with PyTorch including distributed training (e.g., DDP/FSDP)., • Practical experience training large sequence models or transformer-based architectures., • Comfortable building and maintaining data pipelines, optimising large datasets, and handling model scaling challenges., • Solid software engineering fundamentals — clean, maintainable code and version control best practices., • System Knowledge: Hands-on experience with multi-node GPU clusters, orchestration tools (e.g., Kubernetes, Slurm) and performance tuning., • Communication: Clear and effective communicator, able to share insights with both technical and non-technical stakeholders. Desirable Qualities • Experience with reinforcement learning workflows and sequence-level reward strategies., • Familiarity with model evaluation tools and benchmarks for large-scale AI systems., • A proactive, collaborative mindset that thrives in a fast-moving environment where innovation and experimentation are central.

🚀 Are you a Data Engineer who enjoys building production-grade pipelines, optimising performance, and working with modern Python tooling (DuckDB/Polars) on time-series datasets? I’m supporting a UK-based fintech in their search for a hands-on Python Data Engineer to help build and improve the data infrastructure powering a unified data + analytics API for financial markets participants. You’ll sit in a engineering/analytics team and take ownership of pipelines end-to-end — from onboarding new datasets through to reliability, monitoring and data quality in production. In this role, you’ll: • 🔧 Build, streamline and improve ETL/data pipelines (prototype → production), • 📈 Ingest and normalise high-velocity time-series datasets from multiple external sources, • ⚙️ Work heavily in Python with a modern stack including DuckDB and Polars (plus Parquet/PyArrow), • 🧩 Orchestrate workflows and improve reliability (they use Temporal — similar orchestration experience is fine), • ✅ Improve data integrity and visibility: validations, automated checks, backfills, monitoring/alerting, • 📊 Support downstream analytics and client-facing outputs (dashboards/PDF/Plotly — least important) What’s in it for you? • 📌 Modern data stack – DuckDB/Polars + Parquet/Arrow in a genuinely hands-on environment, • 📈 Ownership & impact – You’ll be close to the data flows and have real influence on performance and reliability, • 🏦 Market data exposure – Work with complex financial datasets (experience helpful, interest is enough), • 🏢 Hybrid London – London preferred, with 2–3 days in the office, • ⚡ Start ASAP – Interviewing now What my client is looking for: • Strong Python + SQL fundamentals (data engineering / ETL / pipeline ownership), • Hands-on experience with DuckDB and/or Polars (DuckDB especially valuable), • Experience operating pipelines in production (monitoring, backfills, incident/RCA mindset, data quality), • Cloud experience with demonstrable production use (Azure preferred), • Clear communicator, comfortable working across engineering/analytics stakeholders Nice to have: • Time-series data experience (market data, telemetry, pricing, events), • Streaming exposure (Kafka/Event Hubs/Kinesis), • Experience with Temporal (or similar orchestrators like Airflow/Dagster/Prefect), • Any exposure to AI agents / automation tooling 👉 Apply now!

Senior Data Engineer AI SaaS | Data as a Product | London (Hybrid) This is a brilliant opportunity for someone who loves solving problems at the intersection of data and product and wants real ownership in a fast-scaling company. I’m partnering with a high-growth SaaS business with a standout product and serious traction. They're already profitable, backed by strong investors, and scaling quickly to meet demand. This is your chance to get in early. Here, data isn't a support function, it's the product. You'll help complex organisations implement and expand a platform that's reshaping how the industry operates through advanced analytics and AI to drive real-time decision-making. You’ll be: • Building and optimising scalable data pipelines, • Integrating complex systems, • Turning messy, real-world problems into clean technical solutions., • Contributing to new features as the platform evolves They’re building a small, elite engineering team in London and are looking for engineers who want visible impact. This is not another dashboard product or incremental feature work, and it's not a company where engineering sits in the background. Engineers here: • Build mission-critical systems used by C-suite leaders, • Solve complex data challenges, • Develop AI-enabled workflows in production, • Take ownership from design through to deployment, • See their work influence major organisations Requirements: • Strong Python and data fundamentals, • Experience working with data pipelines or distributed systems, • Experience in data, analytics engineering, platform engineering or technical consultancy, • Experience with modern data tooling such as Databricks, Snowflake, DBT, and Airflow. Why now? The company is scaling rapidly across industries. Join now and you’ll: • Shape how the platform evolves, • Learn directly from senior technical and business leaders, • Take on real responsibility and have meaningul progression If you’re excited by data, product, real-world impact and want to accelerate your career, then apply below.

A fast-scaling AI product company is looking for a Senior Backend Developer to help build and scale a next-generation platform. This is a high-impact role within a small, ambitious engineering team, suited to someone who enjoys ownership and building robust systems from the ground up. Role: Senior Backend Developer Salary: £90,000 - £110,000 Location: Hybrid in London office (1 day per week Max) What you’ll be doing: • Design and build scalable, production-grade backend systems, • Develop high-performance APIs and event-driven architectures, • Work with GraphQL and modern backend frameworks to power core product features, • Ensure reliability through monitoring, logging and resilient system design, • Collaborate closely with product, frontend and design teams to ship features end-to-end, • Contribute to architectural decisions as the platform scales, • Support AI and LLM-driven functionality within the product What you’ll need: • Strong commercial experience with NodeJS, • Experience with GraphQL, ideally within a structured backend framework, • Solid understanding of PostgreSQL and data modelling, • Strong system design skills and understanding of scalable architecture, • Experience building secure, enterprise-ready APIs, • Exposure to AI or LLM integrations, • Comfortable working in fast-moving, high-ownership environments Nice to have: • Experience with GCP, • Familiarity with infrastructure as code, • Background in a dev studio, product studio or agency environment What’s on offer: • Salary between £90,000 - £100,000, • Opportunity to shape backend architecture in a growing AI product business, • High autonomy and real ownership, • Work within a technically strong, collaborative team If you’re a backend engineer who enjoys building scalable systems and taking technical ownership, I’d be keen to speak.

Our client is expanding its advanced AI capability across mission-critical platforms used in environments worldwide. Fimador are seeking a rare blend of hands-on AI engineer, technical authority, and team leader — to shape how their intelligent systems are designed, built, and responsibly deployed at scale. This is not a management-only role. This is for someone who still loves to build, solve complex engineering problems, guide other engineers, and set the technical direction for AI across large, high-impact systems. Key Responsibilities: • Architect, design, and deliver scalable AI and machine learning solutions end-to-end., • Remain hands-on in building complex AI components and solving model or system challenges., • Lead, mentor, and technically guide a team of AI engineers and developers., • Define engineering standards, development practices, and quality benchmarks for AI initiatives., • Own technical estimations, feasibility assessments, and delivery quality across AI workstreams., • Lead technical troubleshooting, root cause analysis, and performance optimisation., • Collaborate closely with architecture, product, and DevOps teams to embed AI into larger ecosystems., • Continuously assess and introduce new AI tools, frameworks, and approaches to maintain innovation. About you: This role suits a senior engineer who has evolved into a technical leader without losing their passion for building. • Ideally a degree in Computer Science, Engineering, or similar., • 5+ years of software engineering experience using modern object-oriented languages (e.g., Java, C#, Python)., • Strong Python capability alongside at least one other major language., • Practical experience building with Generative AI technologies in real solutions., • Experience leading or mentoring engineering teams (6+ engineers)., • Strong foundations in OOP, system design, and engineering best practices., • Hands-on knowledge of AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn., • Experience with orchestration/integration frameworks such as LangChain or Semantic Kernel., • Solid understanding of ML concepts (supervised/unsupervised learning, transformers, CNNs/RNNs, model evaluation)., • Experience with prompt engineering, RAG pipelines, and model fine-tuning., • The judgement to identify where AI adds value — and where it doesn’t., • Experience deploying and operationalising LLMs (exposure to Microsoft AI Foundry or Ollama advantageous)., • Strong grasp of CI/CD, testing, version control, secure coding, and modern engineering workflows., • Exposure to MLOps tools such as MLflow, Kubeflow, or Azure ML.

Hey! We're team Granola 👋 If you haven't already, you should check out ___, and ___. We are looking for a self-starting engineer, passionate about applying the latest advancements in LLMs to create user-centric products. In this role, you will stay on top of the latest LLM trends, build evaluation frameworks for AI features, and apply your knowledge with a product-oriented focus. You will be an integral part of the founding team, interacting directly with users to understand their needs and rapidly developing features that deliver significant value. Your work will be pivotal in scaling Granola to its next 100x growth milestone. In this role, you will: • Own the development and application of LLM-based features end-to-end, • Build and maintain evaluation frameworks for prompt iteration and semantic retrieval, • Optimize embeddings and vector stores for performance and scalability, • Interact with users to understand their problems and design solutions, • Stay up-to-date with the latest trends in LLMs and applied AI practices, • Collaborate with a cross-functional team of engineers, product managers, designers, and other members to create a cutting-edge product Your background looks something like: • Engineering experience at tech and product-driven companies, • Shipping multi-provider LLM-based solutions to production (using e.g. OpenAI, Anthropic, Google, etc.), • Proficiency with LLM infra platforms (prompt management, logging/tracing, evals), • Experience designing large-context LLM systems (RAG, knowledge graphs, hybrid search, memory), • Building features end-to-end with TypeScript, React.js, and Node.js As a person, you… • Are first and foremost a builder., • Are excited to work in-person from our office in London (most of the time), • Love working in a startup environment (you either have experience working in a startup or are really drawn to the zero-to-one phase), • Want to be at the cutting edge of building world-class products on top of language models, • Are fascinated by LLMs. You love to play with them, figure out what makes them tick and get them to do what you want. You scour the web and reddit for others doing the same (you probably follow @goodside on twitter), • Value working with people who are kind, ambitious and pragmatic About the opportunity We are living in the most exciting time for tool builders since ___ in 1968. We want to assemble the best crew to build this future together, here in London. Our compensation philosophy is to pay slightly above market on salary and above market on equity. We do our best work in person, and so our team spends time together five days per week in our new, bright, and spacious office at Old Street. We are happy to offer relocation assistance to candidates who'll be moving to London to join us. Lastly, we think amazing talent comes from all kinds of life journeys and experiences. If what is written above speaks to you, whether you look like a fit on paper or not, please reach out.

About the Company This organisation is a leading Global Systems Integrator delivering large-scale digital, cloud, and AI transformation programmes for enterprise clients worldwide. With deep capabilities across technology consulting, systems integration, and enterprise platform delivery, the firm partners with global organisations to modernise operations, unlock data value, and embed AI at scale. Operating at the forefront of Agentic AI and Generative AI, the business combines strategic advisory with deep engineering execution — supporting clients from AI vision and roadmap through to full enterprise deployment and governance. As a recognised enterprise transformation partner, the organisation: • Delivers complex, multi-million-pound technology programmes across global markets, • Works closely with C-suite stakeholders to shape AI-led business transformation, • Integrates AI into enterprise ecosystems including ERP, CRM, digital, and data platforms, • Invests in AI accelerators, reference architectures, and innovation frameworks, • Prioritises responsible AI, governance, scalability, and enterprise-grade security This is an opportunity to join a globally respected consulting environment shaping the next generation of enterprise AI adoption About the Role This is a senior leadership role sitting at the intersection of AI strategy, enterprise architecture, and complex deal leadership. • Shape executive-level AI transformation conversations, • Lead high-value AI deal pursuits and solution design, • Architect enterprise-scale Agentic and Generative AI systems, • Translate emerging AI capabilities into measurable business outcomes You will operate as both a recognised thought leader and a hands-on practitioner — guiding multi-agent architectures, RAG pipelines, LLM ecosystems, and enterprise AI operating models. This role combines strategic advisory influence with deep technical oversight, mentoring senior architects, engineers, and data scientists across complex programmes. Key Responsibilities • Advise C-suite stakeholders on AI strategy, governance, and operating models, • Lead AI-driven deal pursuits including shaping, estimation, and executive presentations, • Own end-to-end solution architecture for complex AI engagements, • Design Agentic AI systems (multi-agent, orchestration, human-in-the-loop workflows), • Architect Generative AI solutions including prompt pipelines, RAG, and fine-tuning strategies, • Integrate AI solutions into enterprise systems (ERP, CRM, digital and data platforms), • Define AI lifecycle management, monitoring, scalability, and cost optimisation frameworks, • Provide technical leadership and mentoring to delivery teams Key Skills • 15+ years in technology consulting, digital transformation, or advanced analytics, • 5+ years hands-on AI/ML experience with strong focus on Generative AI and Agentic AI, • Expertise in LLMs, agentic frameworks, orchestration patterns, and RAG pipelines, • Experience with vector databases, embeddings, and model evaluation strategies, • Proven track record leading complex enterprise AI deals, • Strong executive presence and ability to translate AI into business value Nice to Have • Experience integrating AI into ERP, CRM, or digital experience platforms, • Exposure to regulated industries (financial services, healthcare, public sector), • AI publications or speaking engagements, • Experience shaping AI Centres of Excellence or enterprise AI operating models Salary: £130,000 - £170,000 + Benefits + Bonus Location: London Working Model: Hybrid Apply now or share your CV as our client is interviewing immediately.