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About Resi Labs Resi Labs is the technology and innovation arm of Resi, the UK's largest residential architecture practice. We're building products that help millions of homeowners make better renovation decisions - from understanding planning feasibility and build costs to visualising what's possible with their property. We sit on a unique dataset built over a decade: 2 million+ planning applications, 40,000+ builder quotes, and thousands of detailed floor plans and 3D models linking design, planning, and cost data in ways no one else can. Our products are already embedded on platforms like Rightmove and Zoopla, reaching millions of homeowners per year. About The Role We're looking for a strong Product Engineer (full-stack) to join our product engineering team. You'll be someone who thinks of yourself as an engineer first, with deep hands-on experience in Ruby on Rails and a genuine passion for building great frontend experiences. You'll take pride in the quality of what users see and interact with, while being equally capable of working across the full stack to deliver features end-to-end. As a small, autonomous team, there's a real opportunity to lead here. To shape technical direction, own meaningful pieces of the product, and have your voice heard. At the core of what we build is a large dataset and data processing pipeline covering UK property data. You'll work closely with this data, helping to consume, refine, and unlock its value based on evolving product requirements - so an interest in working with complex, real-world datasets will serve you well. We're also fortunate to be working on a relatively greenfield codebase with limited technical debt, meaning you'll spend your time building thoughtfully rather than fighting legacy decisions. And we're genuine believers in AI-powered workflows, from how we write code to how the business operates day-to-day, so comfort with and curiosity about AI tooling is a must. What You'll Do • Build polished, responsive frontend experiences using Hotwire (Turbo & Stimulus) and Tailwind CSS, • Design and build full-stack features across our Rails application, from database to UI, • Collaborate with product and design to translate requirements into intuitive, well-crafted interfaces, • Build and consume APIs that power both internal tooling and customer-facing features, • Write clean, well-tested, and maintainable code with a focus on long-term scalability, • Work with our UK property dataset and data pipeline to surface meaningful information through the product, • Participate actively in code reviews, giving and receiving feedback constructively, • Contribute to architectural discussions and help raise the overall quality bar of the codebase What We're Looking For • ~5 years of professional software engineering experience (we care more about the quality of that experience than the exact number!), • Strong proficiency in Ruby on Rails - you've built and maintained production Rails apps and feel genuinely at home in the framework, • A strong eye for frontend quality - you care about how things look and feel, not just whether they work, • Comfortable working with HTML, CSS, and JavaScript across a modern Rails frontend stack, • Familiarity with relational databases (PostgreSQL preferred) and writing efficient queries, • Comfortable building and consuming APIs as part of delivering full-stack features, • Experience writing automated tests (RSpec, Minitest, or similar), • Good communication skills and a collaborative mindset - you can explain technical decisions clearly to both engineers and non-engineers, • Ability to work independently and manage your own delivery without heavy oversight Nice to Haves • Experience with Three.js - we're actively building 3D visualisation features and this will be an ongoing and growing part of the product, • Experience with Hotwire (Turbo & Stimulus) and Tailwind CSS, • Familiarity with background job processing (Sidekiq, Delayed Job, etc.), • Experience with Python and FastAPI - our data pipeline and some supporting services are built in Python, and you'd be expected to maintain and contribute to these alongside the Rails codebase, • Familiarity with Render or similar cloud infrastructure and deployment platforms, • Experience working in a startup or high-growth environment Our Stack • Backend: Ruby on Rails, PostgreSQL, Sidekiq, • Data & Services: Python, FastAPI, • Frontend: Hotwire (Turbo + Stimulus), Tailwind CSS, Three.js, • Infrastructure: Render, • Tooling: GitHub Actions, Sentry About Resi Resi is the UK’s number one home extension company transforming how homeowners design, plan and build. With over 10,000 projects nationwide and a 95% planning approval rate, we make architecture accessible and transparent through a digital platform that brings design, planning and build support together. We are a team of ~70, currently based in Oval, but shortly relocating to a shiny new office in a Fora in Elephant & Castle! At Resi, you will have the opportunity to work differently, take control of, and really accelerate your career. Our success is all down to our wonderful people and their talent, and that’s why we treat our employees with the same respect and care as our customers. We pride ourselves in not just aiming to be the best in the industry, but also the best place to work - our collaborative, transparent and diverse culture, with a heavy focus on personal development, means that we don’t just grow homes, we grow people too. We have an ideas-led innovation culture and we really care about creating a diverse and inclusive team - so we welcome people from all backgrounds with different perspectives, ideas and experiences to work with us. We offer our employees: • Hybrid & flexi working, • Private health & dental insurance via Bupa, • 33 days of Annual Leave (including bank holidays), • An additional day of Birthday Leave after a year of employment, • On the job mentoring, coaching and learning & development, • Access to therapy, mental health support & coaching via Plumm / EAP, • Equipment and softwares that enable you to do your best work, • Gym membership, • Enhanced parental leave, • Regular company-wide socials organised by the Resi social committee, and paid for by Resi, • Office and wider Workspace perks including snacks, fresh fruit and refreshments

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

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: RippleX is dedicated to empowering the builders of tomorrow on the XRP Ledger (XRPL), one of the world’s fastest and most reliable public blockchains. We believe in democratizing the digital economy by providing practical support, empowering a community of developers, and offering the expertise of a visionary technology company. The XRPL is a decentralized, public blockchain led by a global community of businesses and developers looking to solve problems and create value. Proven reliable over more than a decade of operation and closing over 100 million ledgers, the XRPL offers streamlined development, low transaction costs, high performance, and sustainability. We are seeking ambitious engineering managers who share our vision and possess technical excellence to lead teams in advancing XRPL's core architecture and enabling developer contributions. WHAT YOU'LL DO: • Provide technical and strategic leadership for RippleX's blockchain software, ensuring scalability and reliability., • Develop and deliver roadmaps, driving technical and operational excellence., • Mentor team members for professional and technical growth, while providing hands-on leadership., • Establish and encourage engineering standard processes, collaborating with partners across Ripple and in the XRPL community., • Implement agile processes for innovation and incremental objectives., • Translate technical concepts for various audiences including engineers, business and technical leaders., • Scale the team by attracting and mentoring leaders and engineers of varying experience levels., • Recruit outstanding engineers, in collaboration with Ripple’s recruiting team.WHAT YOU'LL BRING:, • 10+ years of software development leadership experience, leading strong engineering teams., • You are both a people leader and a technical leader., • Proficient in building highly scalable and reliable distributed systems in C++., • Experienced in developing open-source software and contributing to collaborative blockchain communities., • Collaborative approach with eagerness to share knowledge and work openly with diverse teams. 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.

Staff ML Engineer – AI / NLP / Search (London – Hybrid) £90,000 - £110,000 An industry-leading, AI-first technology platform in the intellectual property space is hiring a Staff-Level ML Engineer to lead all Data and NLP initiatives. This company was an early adopter of Large Language Models and is building advanced, agentic AI workflows that autonomously answer complex research questions. The platform combines proprietary ML models with cutting-edge NLP techniques to deliver high-precision search and insights at scale. The Role As the technical lead for Data & NLP, you will: • Own and improve search performance (precision & recall), • Optimise large-scale search algorithms for speed and relevance, • Design and implement agentic LLM workflows, • Build and maintain robust data pipelines, • Lead model development, training, and deployment Requirements • 8+ years of commercial experience in engineering and data science, • Proven technical leadership experience, • Strong Python expertise, • Commercial Machine Learning experience, • Deep experience in Natural Language Processing (NLP), • Experience training models in TensorFlow and PyTorch, • Experience with search databases (Elasticsearch, OpenSearch, etc.), • Experience with AWS or similar cloud platforms, • Willingness to work 3 days per week onsite in London What’s on Offer • Stock Option Plan, • 25 days holiday, • Pension contributions, • Flexible working, • Ongoing training & development If you’re excited about building advanced AI systems that solve complex real-world problems at scale, I’d be keen to speak. Please feel free to message me directly for more details.

Role: Software Engineer — Clearing & Post‑Trade Systems Skills: Python, Distributed Systems, Databases, Financial Infrastructure Location: London Compensation: £500K TC Overview Join a high‑impact engineering group building next‑generation clearing and post‑trade systems that support large‑scale algorithmic trading. You’ll design and implement core services that guarantee reliability, accuracy, and latency‑sensitive performance across global trading infrastructure. Key Responsibilities • Build, scale, and maintain Python services that manage trade capture, clearing, and settlement processes., • Design distributed systems to ensure data integrity and fault tolerance across trading and back‑office pipelines., • Work closely with trading, operations, and risk teams to deliver automated, reliable post‑trade workflows., • Optimize performance and throughput in systems handling millions of messages per day., • Integrate internal APIs with external clearinghouses, exchanges, and custodians., • Implement robust monitoring, logging, and reconciliation tools to ensure full trade lifecycle visibility. What You Will Work On • Real‑time post‑trade and clearing pipelines tightly connected to trading engines., • Improving automation and scalability of trade lifecycle systems across numerous asset classes., • Internal Python frameworks and data models underpinning trade matching, booking, and reconciliation., • High‑visibility initiatives driving automation, transparency, and control in critical financial workflows. Team and Culture • Small, technically deep team operating within a performance‑driven post trading environment., • End‑to‑end ownership of systems with close collaboration between engineering, trading, and operations., • Culture focused on precision, learning, and continuous technical improvement. Apply now for a confidential conversation

Frontend Engineer Engineering | London (Hybrid) We’re partnering with a global fintech platform building modern infrastructure for digital payments, on-chain banking and investment services. The business operates across 140+ countries, integrates with 30+ trading venues to deliver deep liquidity and optimal execution, and maintains a 100% reserve model with real-time transparency of assets and liabilities. This is an opportunity to join a high-performing engineering team shaping secure, scalable web and mobile products used by millions worldwide. The Role As a Frontend Engineer, you’ll focus on building and enhancing consumer and business applications across web and mobile. You’ll design and develop with three core principles in mind: maintainability, performance, and security. You’ll work in a collaborative, cross-functional environment where frontend engineers have real ownership and influence across the full development lifecycle. Key Responsibilities • Develop and maintain a digital wallet experience that is secure, intuitive and performant across devices, • Build new features and optimise existing functionality for web and mobile platforms, • Collaborate closely with backend engineers to integrate APIs and services efficiently, • Participate in planning, design, development, testing, deployment and maintenance, • Write clean, scalable, high-quality code aligned with best practices, • Contribute to performance optimisation and secure coding standards Requirements • Strong experience with React and/or React Native, • Experience with GraphQL and RESTful APIs, • Solid understanding of web fundamentals (DOM, CORS, browser storage, request/response lifecycle), • Strong knowledge of mobile platforms, including native modules, app lifecycle, data storage and performance optimisation (iOS & Android), • Familiarity with modern JavaScript/ECMAScript standards, • Experience with version control systems, • Understanding of development pipelines and automation tools, • Strong communication skills and ability to work cross-functionally, • Fluent written and spoken English Nice to Have • Experience with additional programming languages, • Test automation experience, • Multi-language application development, • Knowledge of digital assets/cryptocurrency ecosystems, • Open-source contributions, technical writing, or community involvement What’s On Offer • Competitive base salary + annual performance bonus, • Hybrid working (London-based), • Home office stipend, • Healthcare and employee assistance programs, • Generous annual leave, • Learning and development opportunities, • Inclusive, collaborative culture with strong engineering standards If you’re excited about building secure, high-performance financial products at global scale, this is a strong opportunity to make meaningful impact.

Head of AI & Cloud Managing Director Level | Global Multi-Strat Trading Environment A global multi-strat trading organisation is seeking a Head of AI & Cloud (group strategy) to lead the next phase of its technology evolution. Operating at Managing Director level (bank equiv), this role blends executive leadership with deep technical authority across cloud engineering, advanced data platforms, and applied AI. This is not a pure strategy role and not a traditional infrastructure leadership position. You will be responsible for shaping how modern cloud architecture and AI capabilities are embedded into a fast-moving trading ecosystem where technology directly drives performance. The Opportunity You will define and execute the long-term vision for AI and cloud across a complex, high-performance trading landscape spanning multiple strategies and asset classes. Working closely with senior trading leadership and executive stakeholders, you will ensure that innovation translates into scalable, production-ready platforms that deliver real commercial value. Key Responsibilities • Lead global strategy for AI, machine learning, and cloud platforms across trading, data, and risk environments, • Drive large scale cloud transformation across GCP, Azure, AWS, or hybrid ecosystems, • Establish engineering and architecture standards across distributed systems, data platforms, and platform reliability, • Embed AI into real trading workflows including automation, optimisation, and decision intelligence and be at the cutting edge of how the space is evolving and what this could mean for an elite trading outfid who are nascent on the cloud journey, • Partner with senior business leaders to align technology investment with trading performance, • Build and mentor senior engineering and architecture leadership teams globally What You Bring • Proven leadership experience operating at senior or executive level within complex technology and trading organisations, • Deep technical credibility across cloud engineering, distributed systems, and modern data platforms, • Strong understanding of applied AI and machine learning in production environments, • Experience within multi-strat trading, hedge funds, commodities trading, or similar performance-driven environments is highly valuable, • Ability to operate at strategic level while remaining technically fluent and credible with engineering teams

We’re working with a leading fixed income hedge fund in London that is expanding its front‑office engineering team. The fund has a strong performance track record, a deep commitment to technology, and a culture where engineers work side‑by‑side with quants and traders to build the systems that drive the investment process. In this role, you’ll help design, build, and enhance a range of high‑impact trading and research platforms. Projects vary from core trading system development to front‑office tooling, data‑driven applications, and the use of machine learning across the investment workflow. It’s a fast-moving, highly technical environment where code quality, performance, and reliability matter. The team runs weekly sprints, uses modern engineering practices (PR reviews, rapid releases, continuous development), and has a strong track record of developing talent. We’ve partnered with this group and their CTO, for several years and have placed multiple engineers into the team, so can provide detailed insight into structure, expectations, and progression. The fund looks for low‑ego, high‑performing engineers who enjoy ownership, collaboration, and solving complex problems with pragmatic, commercial solutions. You’ll have direct interaction with PMs, quants, and the CTO, contributing across design, architecture, and production support. Tech Environment • C# and .NET are central to the team’s core systems, • Python is widely used across quant and data groups, • Open to candidates from other OO backgrounds (C++, Java, Go) with strong fundamentals, • Exposure to high‑performance, low‑latency, or business‑critical systems is valuable, • Financial markets experience is not essential, but interest in Fixed Income/Rates is beneficial Requirements • Strong academic background in Computer Science or related field, • Excellent programming ability in C# and .NET, • Experience with large or complex data sets, • 1–5 years’ experience in a software engineering role, • Interest in finance; exposure to fixed income or systematic environments a plus, • Positive, pragmatic, collaborative mindset Due to demand, this role is advertised anonymously. If preferred, submit a blank application and we will contact you before requesting a CV. We can only respond to highly qualified candidates.

About Decho Group Decho Group is a fast-growing Tech and AI consultancy, founded to solve complex data challenges for governments and enterprises. We specialise in Palantir technologies, advanced analytics, and AI-driven solutions that transform how organisations make decisions. In October 2025, Accenture acquired Decho Group, recognising our unique ability to combine deep engineering expertise with strategic advisory, tackling mission-critical problems in defence, healthcare, and commercial industries. Joining Decho means joining a consultancy where AI meets engineering excellence. You’ll be part of a team that thrives on curiosity, collaboration, and bold thinking, working on projects that genuinely change lives and industries. The Role We’re seeking Full stack Data Engineers , across all levels from Junior to Senior Manager, who want to apply their technical skills in AI consultancy and Palantir engineering. You’ll design solutions that unify complex data landscapes, build workflows that drive smarter decisions, and partner with clients to deliver sustainable transformation. This is a hands-on role where you’ll combine software engineering expertise with strategic problem-solving, working across data pipelines, operational workflows, and AI models. Key Responsibilities • Design & Solve: Break down client problem sets and design innovative solutions using Palantir software., • Engineer Data: Build and maintain pipelines and ETL processes to power decision-making models., • Create Workflows: Develop operational workflows and decision-support tools that transform enterprise operations., • Apply AI: Collaborate with colleagues to implement AI and machine learning models against real-world challenges., • Technical Excellence: Apply your software engineering skills to build scalable, reliable solutions., • Grow & Share: Contribute to the Decho Lab by mentoring peers, upskilling junior engineers, and driving best practice., • Partner with Clients: Build deep, trusted relationships that position Decho–Accenture as their go-to advisor. What We’re Looking For • Experienced Engineer with proven expertise in Python, SQL, and TypeScript., • Experience with Palantir technologies: Foundry, Gotham, or similar platforms (preferred), • Strong understanding of data engineering, ETL pipelines, and workflow design., • Passion for AI, machine learning, and emerging technologies., • Excellent problem-solving, collaboration, and communication skills., • Curiosity, adaptability, and a drive to make a real-world impact. Why Join Us • Be part of a fast-growing AI consultancy now backed by Accenture’s global scale., • Work on mission-critical projects across government, defence, health, and commercial sectors., • Gain hands-on experience in AI, advanced analytics, and Palantir technologies., • Shape the future of data-driven decision-making while building your own career story., • Thrive in a culture that values innovation, collaboration, and bold ambition. Unfortunately we can not provide sponsorship for this opportunity

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: Copilot Solutions Architect, • Location: London, Harbour Exchange, • Hybrid: 2 days to office, • Job Type: Permanent role The Copilot Solutions Architect is responsible for designing, architecting, and delivering Microsoft Copilot-enabled solutions. This role bridges business requirements with technical implementation, ensuring secure, scalable, and value-driven Copilot deployments across Microsoft 365. This role involves collaborating with cross-functional teams to understand business requirements, providing technical leadership, and ensuring designs meet architectural principles and security and data standards. Key Responsibilities: • Design and architect Copilot solutions within Microsoft 365 based on technical and business requirements., • Author High Level Solution Designs, Solutions Overviews and Conceptual Architectures., • Development of guardrails and policies around Copilot integration with applications and services., • Provide technical guidance, documentation, and deployment best practices., • Proven knowledge of Microsoft Copilot and the Microsoft 365 ecosystem., • Experience developing and delivering solutions., • Ability to communicate solutions to other stakeholders, • Good knowledge of Risk management, • Work closely with other architecture disciplines including Enterprise, Infrastructure and Security, as well Engineering, Operations, and Digital Workplace., • Provide technical guidance to team members and stakeholders., • Ability to deal with ambiguity and manage diversity., • Share knowledge with the team and contribute to the organization's learning culture. “Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,500+, and has 60 offices in 20 countries within key global markets. About the Role We are looking for an experienced OpenShift Site Reliability Engineer (SRE) to ensure the reliability, availability, and performance of enterprise‑grade OpenShift‑based virtualized and container platforms. This role focuses on automation, secure service design, and cross‑team collaboration across Applications, Hardware, and Network domains. You will build proactive systems that prevent outages, enforce SRE best practices, and participate in an on‑call rotation. Primary Responsibilities • Manage and optimize OpenShift and container/virtualization platforms for high availability and performance., • Collaborate closely with multiple technical teams to deliver scalable, secure solutions., • Design secure cloud‑native service architectures with automation-first principles., • Develop automation using Shell, YAML, Ruby, Python, and Go for detection, remediation, and platform improvements., • Implement SRE guardrails, system modeling, and platform governance., • Hands‑on experience with OpenShift Virtualization and Kubernetes administration., • Strong understanding of distributed systems and failure scenarios; experience managing RedHat, Windows, and ESXi workloads., • Deep knowledge of Linux systems and networking., • Experience with monitoring/observability stacks (e.g., OpenTelemetry, Prometheus, Grafana, Splunk)., • Proficient in automation/scripting (Python, Shell, Go, Terraform)., • Familiar with CI/CD tools such as Jenkins or GitLab CI., • Strong understanding of Docker and microservices architectures., • Experience with Ansible for configuration management and deployment automation., • Experience improving team performance and engineering workflows., • Strong active listening and self‑management skills., • Broad exposure across compute, OpenShift, Kubernetes, hypervisors, storage, Windows, networks, and Linux., • Ability to collaborate with industry groups and external vendors to influence platform direction., • Ownership of engineering controls, compliance, and governance., • Promote innovation and adoption of modern technologies within the domain. Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

AI Software Engineer • Onsite role in Soho, • £80-120k depending on experience We’re on a mission to reinvent how AI understands people — not through CVs or data points, but through story, reasoning, and curiosity. We’re building systems that listen, interpret, and understand why people say what they say. The goal? Create AI that perceives human potential, not just human input. If you love working on ideas that feel impossible — keep reading. The Role We’re looking for an engineer who blends technical depth with creative instinct. You’ll work directly with founders to shape the intelligence layer behind a new generation of human-aware AI — from LLM reasoning and semantic understanding to full-stack experiences that feel emotionally intelligent. If you’ve worked in a disruptive industry and built something brand new — not just improved what already existed — this will feel familiar. What You’ll Be Building • Core intelligence systems: LLM orchestration, semantic reasoning, and voice understanding, • Fast, intuitive interfaces that make human-AI interaction feel alive, • Rapid prototypes that turn bold ideas into working products, • Scalable infrastructure for experimentation and learning You’ll Thrive Here If You • Come from a disruptive, fast-moving environment, • Have helped launch or shape new ideas, products, or technologies, • Think in systems and build with elegance, • Believe speed drives creativity, • Are curious about human cognition and behaviour, • Value truth, craft, and collaboration over hierarchy What You Bring • Deep fluency in TypeScript and modern frameworks, • Experience with vector databases and embeddings, • Strength in LLM fine-tuning or multimodal reasoning, • Proven ability to ship full-stack products fast, • Strong Python skills, • Experience using Gemini would be preferred The Culture Just a small, ambitious team that debates hard, builds fast, and chases ideas that matter.

Title: Software Engineer Client: Elite Buy-Side Fund Salary: Up to £140,000 + Bonus + Benefits Location: London (Hybrid) The Opportunity: Step into a high-performance role at the intersection of finance and technology. As a software engineer you will develop and optimise critical trading systems, build data-driven solutions and work with cutting-edge technology to drive decision making at scale. Your Responsibilities (Full Spec. Available): • Develop and optimise high-frequency trading systems, • Write efficient code to minimise latency, maximise throughput and ensure seamless operation under high-pressure conditions, • Driving innovation by exploring new technologies, machine learning and cutting edge tools to advance competitive edge Who You Are: • Strong proficiency in any OO language (they are agnostic) - (low-latency or systems-level experience preferred), • Deep understanding of data structures, algorithms, and computer architecture, • Proven ability to tackle complex challenges with initiative and agility in high-pressure environments Apply now or reach out directly: for more details

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. We are looking for the Senior Perception Engineer - Spatial Understanding & Navigation to join our team based in London, UK. What You'll Do • Develop next-generation spatial understanding systems for robot locomotion and manipulation, integrating perception and high-level reasoning., • Work on open-ended navigation powered by Vision-Language-Action (VLA) models — enabling robots to understand context, predict intent, and act in complex, dynamic environments., • Design and scale auto-labeling and large-scale data pipelines to train and evaluate multimodal models for navigation and interaction., • Develop and implement scene understanding and 3D reconstruction methods that give robots persistent spatial memory and geometric awareness., • Collaborate with cross-functional research and engineering teams to bring large vision-language models into real-world robotic systems., • Stay ahead of the field — rapidly evaluate new model architectures, benchmarks, and datasets to guide our embodied AI roadmap What We're Looking For • Deep experience in machine learning for vision or embodied AI, ideally with large models (VLMs, VLAs, transformers, diffusion, or multi-modal architectures)., • Strong background in scene understanding, spatial reasoning, or 3D reconstruction from visual data., • Proficiency in PyTorch and hands-on experience building, fine-tuning, and deploying large-scale ML systems., • Strong experimental and research skills — capable of taking projects from concept to model training, evaluation, and robot integration., • Comfortable working in a fast-moving, research-driven environment with evolving models, data, and tools. What We Offer • Competitive salary plus participation in our Employee 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, • Private Health Insurance, • Office perks: free hot 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

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. We champion the builders of tomorrow by providing the infrastructure, tools, services, programs and support for creation on one of the world’s fastest, most sustainable and consistently reliable public blockchain - XRPL. By supporting an open community of developers, they can advance the solutions and innovation needed to allow businesses, consumers, institutions and governments to fuel the engine of a new digital economy. We believe that realizing the Internet of Value hinges on how easily new technology works for more people, and how effectively we can change the way the world operates today. Ripple Custody is helping more people participate in the digital economy by providing enterprise grade custody solutions for large financial institutions and crypto native companies. We have a big vision and the ambition to match. We are seeking the same in engineering managers. You also see the huge potential of this crypto custody and have the entrepreneurial spirit and technical excellence to realize the vision we have. There is a lot of work to get there but we are committed to building out the best team to achieve this. We’re looking for a results oriented hands-on engineering leader to help manage and guide teams building core security features for Ripple Custody. WHAT YOU'LL DO • Provide technical and business leadership defining Ripple Custody’s long term strategy, ensuring flawless execution building secure software and systems that are scalable and reliable, • Own and deliver the roadmaps of multiple programs while driving technical and operational excellence across the engineering organization, • Mentor and guide the professional and technical development of your team, both managers and engineers, • Provide hands-on technical leadership, • Encourage and drive engineering best practices, • Collaborate with stakeholders across Ripple and the customer community at large, • Establish team objectives and quarterly plans in alignment with business and organizational goals, • Translate technical concepts into tailored content for different audiences including engineers, business and technical leaders, • Scale the team by attracting and mentoring great leaders and engineers at various levels of experienceWhat we're looking for, • 10+ years of hands-on software development leadership experience, managing managers and teams of engineers., • Solid leadership and communication skills., • Hands-on experience building highly secure, scalable distributed systems in modern technology stacks, • Experience with Agile development with a focus on robust software design, scalability and security., • Eagerness to work openly and collaboratively with a diverse team, with a positive attitude and a passion for sharing knowledge., • A technical subject matter expert who provides technical leadership and shares expertise with a growing team of engineers. 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.

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 Director of Developer Relations in the RippleX Ecosystem Growth team, you will build and lead the team responsible for how developers discover, onboard, build, and scale financial applications on the XRP Ledger (XRPL). In this role, you'll be at the forefront of enabling businesses, institutions, and governments to harness XRPL's capabilities for transformative financial innovation, driving adoption for institutional-grade use cases, including asset tokenization, institutional DeFi, and next-generation payment infrastructure. This role will be pivotal in growing our developer ecosystem, gathering crucial feedback to inform XRPL product development, and ensuring blockchain technologies are implemented responsibly across diverse financial implementations. You'll set the vision and strategy for developer experience, including individual developers, startups, and institutions. Your success in this role will directly shape XRPL's growth trajectory and market position while ensuring blockchain technologies are implemented responsibly across countless financial use cases. Building strong relationships between the developer community and internal teams will be essential as we advance our mission of creating reliable, scalable financial infrastructure that serves real-world institutional needs. WHAT YOU’LL DO: • Own and develop the strategy for how developers build financial solutions, tokenization platforms, and payment applications on XRPL, • Create frameworks for measuring developer success that align with business objectives, including analytics for fintech developers and financial institutions, • Build scalable and systematic frameworks to accelerate developer adoption through both one-to-many and one-to-one strategies, • Organize high-impact developer events, group learning sessions, workshops, and hackathons that showcase XRPL's capabilities for tokenization and financial innovation, • Generate technical content including tokenization guides, payment integration tutorials, institutional DeFi standard methodologies, and code demos, • Speak at conferences, meetups, events, and private seminars about XRPL use cases, projects, and upcoming products and features, • Provide hands-on technical support to accelerate integration for financial companies and startups, • Evaluate technical feasibility or technical due diligence and team strength for projects through various Ecosystem Growth Programs such as Grants and Accelerator initiatives, • Build and measure adoption mechanisms and reporting structures to demonstrate success and traction, • Recruit and scale a high-impact global developer relations team with representation across key financial hubs and emerging tokenization markets, • Foster a collaborative culture internally with GTM, Product, Engineering, Communications, and Marketing teams as well as external partners and the broader XRPL community, • Act as the primary advocate for financial developer needs at the executive level, translating feedback into strategic initiatives, • Champion best practices for regulatory compliance and institutional-grade security adoption by developers building financial applications, • Collect feedback to inform product roadmaps while serving as a technical liaison between developers, funded financial projects, and Ripple's product and engineering teams, • 7+ years of experience building and leading developer relations, developer experience, or technical product teams, with a proven track record of measurably growing developer ecosystems, • Institutional Finance Acumen: Deep understanding of financial instruments and market structure (equities, bonds, repos, collateralized lending, etc.). Strong grasp of collateral management, capital efficiency, and how DeFi can impact these processes. Familiarity with regulatory frameworks and how they relate to tokenization and digital asset adoption, • Technical credibility with the ability to deeply understand complex technical concepts and translate them for various audiences ranging from individual developers to enterprise executives, • Deep insight into developer psychology and behavior—knowing how to reach developers through the right channels, build authentic affinity for products, and design education programs that drive meaningful adoption, • Hands-on technical abilities—capable of creating your own code demos, critically reviewing developer samples for quality and best practices and providing specific technical feedback, • Collaborative leadership skills with the ability to influence across teams without direct authority, building strong relationships with stakeholders at all levels, • Experience scaling teams in high-growth environments with the ability to adapt quickly as priorities evolve, • Comfortable navigating ambiguity in fast-paced environments with autonomy and accountability, • Experience working with blockchain technologies, APIs, developer platforms, or emerging financial technologies, • Background in building developer communities around new technology categories, particularly in fintech or blockchain, • Experience with open-source ecosystems, community management, and collaborative development practices, • Public speaking experience at industry conferences and events, particularly fintech or blockchain conferences, • Content creation experience including technical writing, video tutorials, or documentation for financial applications, • Experience with developer analytics and community measurement tools 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.

Description & Overview Location: London, UK Position: Hybrid (3 days onsite and 2 days remote) Role: Full-time (Permanent Role) We are building a world-class AI research team focused on advancing next-generation agentic systems and intent-aware learning architectures. Our mission is to bridge cutting-edge research in large language models, reinforcement learning, and alignment with scalable, real-world production systems. You will operate at the intersection of research and product, shaping foundational capabilities in intent understanding, agent learning, and model alignment across distributed AI environments. This is an opportunity to influence AI systems deployed at global scale across diverse compute environments including edge and cloud. Responsibilities Define Research Agenda • Identify high-impact research problems aligned with applied AI systems., • Set technical direction for intent modeling, classification, and agentic learning., • Design end-to-end intent classification and agentic learning architectures., • Lead decisions on model selection, training strategies, evaluation methodologies, and scaling approaches., • Design reinforcement learning pipelines for optimizing agent behavior., • Define reward modeling strategies and alignment methodologies., • Ensure research outputs meet production-level reliability and latency standards., • Partner with engineering teams on model integration, optimization, and deployment., • Author internal technical papers and contribute to external publications where appropriate., • Guide junior researchers in problem formulation, experimental design, and publication development., • Foster a culture of technical excellence, critical thinking, and innovation., • Provide cross-functional technical leadership across research and engineering domains. Core Skills • Strong foundation in deep learning and transformer-based architectures., • Hands-on experience with PyTorch and modern NLP/LLM toolchains., • Deep knowledge of parameter-efficient fine-tuning methods (LoRA, adapters, PEFT techniques)., • Expertise in intent classification, evaluation metrics (precision, recall, F1), and experimental design., • Proficiency in Python and data processing/analysis tooling., • Ability to interpret and implement techniques from cutting-edge academic research. Bonus Skills • Experience with reinforcement learning (PPO, DPO) or RLHF pipelines., • Familiarity with distributed training frameworks (DDP, FSDP, DeepSpeed)., • Background in NLP tasks such as NER, semantic similarity, QA, or dialogue systems., • Experience with experiment tracking platforms (MLflow, Weights & Biases)., • Exposure to agentic AI paradigms (ReAct, chain-of-thought reasoning, tool use)., • Prior experience in leading AI research labs or high-impact industry AI teams. Qualifications • PhD in Computer Science, Machine Learning, NLP, or related field (exceptional MS candidates considered)., • 5+ years post-PhD (or equivalent industry experience) in ML research., • Strong publication record in top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP)., • Demonstrated track record of translating research into production systems., • Experience mentoring researchers or leading small research groups. What We Offer • Career growth within a rapidly expanding AI initiative., • Access to advanced technical training and research resources., • Performance-based reward structure., • Flexible hybrid work model (3:2)., • Comprehensive benefits including life insurance and mobility incentives.

AI Engineer London (Hybrid – 3 days a week in office) Up to £100,000 About the Company We’re supporting a global, market‑leading wellness and fitness organisation that is scaling its AI capabilities at pace across multiple international markets. With a mission centred on improving people’s lives through wellness, the company blends technology, data, and modern engineering practices to enhance member experience, drive commercial growth, and unlock operational efficiency. The organisation has recently invested heavily in a cutting‑edge AI function, with a mandate to design, build, and deploy end‑to‑end AI solutions that solve meaningful, real‑world business problems. This is an environment where AI engineers work hands‑on with cross‑functional teams and where shipped solutions make a tangible impact across digital products, marketing, operations, and member experience. The Role They’re now hiring an AI Engineer to join a growing AI team delivering production‑grade AI systems across the business. This role sits at the intersection of software engineering, machine learning, and applied data science — ideal for someone who enjoys building real products, not just prototypes. You’ll work end‑to‑end: from problem framing and data preparation, through modelling and experimentation, to deployment, monitoring, and iteration. You’ll collaborate with teams across Digital, Marketing, Operations, Finance, and Governance to translate business challenges into robust, ethical AI solutions. If you want to build AI systems that genuinely impact users, unlock commercial value, and scale across multiple markets, this offers a rare level of ownership and breadth. Key Responsibilities • Act as a hands‑on builder of AI‑powered products from idea to production., • Combine software engineering, data engineering, and ML/LLM skills to deliver scalable solutions., • Rapidly prototype, test, and iterate with real stakeholders and real data., • Work closely with business teams to identify opportunities and define success criteria., • Translate real operational problems into actionable AI solutions., • Build models using classical ML (e.g., tree‑based methods, forecasting, uplift) as well as LLMs and generative AI., • Develop predictive solutions such as churn, propensity, next‑best‑action, and lead scoring., • Build APIs, services, and integrations enabling AI models to power real products., • Embed AI into digital journeys, CRM systems, member apps, and internal tools., • Manage the full lifecycle of models: deployment, monitoring, alerting, retraining., • Build scalable pipelines and ensure reliability, performance, and efficiency. Requirements • Proven experience in applied data science, ML engineering, or software engineering with strong AI/ML responsibility., • Proven track record delivering AI/ML solutions into production., • Experience working closely with business teams such as Marketing, Product, or Operations., • Background in one or more of: personalisation, customer analytics, conversational AI, recommendation systems, optimisation, or marketing analytics., • Deep understanding of ML fundamentals across the full lifecycle., • Hands‑on experience with ML frameworks (scikit‑learn, XGBoost, PyTorch, TensorFlow, LightGBM)., • Strong exposure to LLMs, prompt engineering, RAG, and evaluation frameworks., • Familiarity with MLOps tooling: CI/CD, experiment tracking, model registries, monitoring, containers. Please note: This role cannot provide VISA sponsorship.

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 (Mobile), 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 • Mobile development expertise: You have solid experience building high-quality, cross-platform applications for iOS and Android using React Native and TypeScript., • Native familiarity: While you live in JavaScript, experience with native code (Swift, Kotlin, or Objective-C) to bridge gaps or debug native modules is a significant plus., • 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., • Store deployment: Experience managing the release lifecycle - including certificates, signing, and deploying to the Apple App Store and Google Play Store is a big plus., • Styling proficiency: You have a knack for creating polished mobile interfaces. Experience with Styled Components is a plus, but ultimately, you know how to build layouts that look and feel great on any screen size., • User-obsessed mindset: You don't just write code; you build products. You are passionate about mobile UX, gestures, and animations. Experience with Figma 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 mobile testing frameworks is highly valued to ensure reliability across devices., • Performance focus: You understand that a janky app is a bad UX. You keep performance in mind, optimising for smooth animations, fast launch times, and efficient memory usage., • 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.

About us: At Diligent, we are on a mission to help fintechs and banks automate and enhance Anti-Money Laundering operations with AI agents. Leading banks and payment companies use us to automate risk investigations they run when onboarding and monitoring business customers in Europe, Middle East, USA and Asia. Our founders have built fraud and credit risk models protecting billions in transactions at Europe’s top fintechs, and we’re taking that experience to revolutionize how financial institutions verify the legitimacy of businesses. With deep expertise in AI-driven risk assessment, we turn unstructured data into powerful insights, helping our customers automate manual reviews, strengthen fraud detection, and improve the onboarding experience for legitimate businesses. We already work with leading fintech unicorns and banks, are growing fast and we’re looking for ambitious problem-solvers who are excited about using AI to tackle financial crime at a global scale. If you're passionate about making a real impact in the fight against fraud, we’d love to have you on our team! 🚀 More on us here: Launch YC: Diligent - GenAI assistant for fintech risk and compliance operations | Y Combinator 💼 The role: You are part of the founding team. You’ll play a crucial role in shaping the future of our company - from hands-on engineering and product work, to high-level strategic decisions. As a Fullstack Software Engineer at Diligent AI, you’ll be responsible for the development and scaling of our core platform, working closely with enterprise customers, as well as building new zero-to-one initiatives. What we expect: Within days: • Translate novel LLM capabilities into understandable, intuitive and performant end-user experiences., • Release your first code, we believe in the “You Build It, You Run It” principle, • Work directly with customers to solve their problems. We need someone who has high empathy and is excited by working side-by-side with financial crime and risk teams to solve critical problems., • Evolve schemas and bring structure to non-deterministic outputs., • Lead customer calls and own customer outcomes., • Work directly with the CEO, CTO, and other founding members and mature our engineering practice., • Tackle technical and non-technical scaling problems that come with high growth., • Navigate ambiguity with confidence, proactively shaping direction when goals are fuzzy or inputs are incomplete. Must-have • 3+ years of professional software engineering experience building and shipping production systems, • 3+ years with modern web technologies (TypeScript/JavaScript, React, Node.js), • 2+ years of experience with AWS, specifically serverless, • Experience building and deploying scalable backend systems and APIs, • Comfortable working across the full stack, from database design to frontend implementation, • Track record of shipping high-quality code quickly and iterating based on user feedback, • Bonus: Experience with AI/ML systems, LLMs, or working in regulated industries (fintech, compliance, etc.), • NodeJS/Typescript, • NextJS, • Python, • AWS SAM About you • Extremely Curious: We think curious people run the world. We love those who have an insatiable hunger for more knowledge…about the customer problems, domain knowledge, technical innovations or new ways to approaches to challenges., • Hungry and driven: We are an early stage startup…this is hard and intense work that requires you to be ready to move fast, take bets and find solutions to problems that haven’t really been solved before. It will be intense but extremely rewarding, • A true owner: We don’t expect you to be just an employee, you will be part of the founding team. A strong sense of ownership and autonomy is essential - you’ll take full responsibility for your projects from start to finish and you’ll be expected to deal with ambiguity getting things done without overcomplicating solutions., • Humble: You listen actively, embrace feedback and foster a collaborative environment where ideas are shared openly. You are confident in your expertise while recognising the value of learning from others and adapting to change. Budget: • Base salary £60k-£90k, • Equity: 0.5-1.0%, • Negotiable, depending on preferences The interview process ⏳ We are seeking to make our interview as experiential as possible in order for both sides to get the most signal on what it would be like to work together. • Initial application (<2 mins): Submit your LinkedIn (or CV) in the application link below, • CTO meet-and-greet (30 mins): Introductory call with Ahmed — get to know each other a little, • Technical interview (60-90 mins): Deepdive interview with Ahmed focusing on problem solving, coding proficiency, systems design and architecture., • CEO meet-and-greet (30 mins): Introductory call with Edo — get to know each other, • References and offer: Ideally over dinner!

Senior Machine Learning Scientist Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. Senior Machine Learning Scientist - Search Marketing & Tech We’re looking for a Senior Machine Learning Scientist to provide technical leadership within our Search Marketing & Tech organisation at Expedia Group. This role is for someone who has demonstrated a track record of delivering high-impact ML projects from concept through production, partnering closely with engineering teams on multi-quarter initiatives that drive measurable business outcomes. Our team builds and optimises the ML models that power metasearch bidding and auction strategies across key partners (Google Hotel Ads, Trivago, Tripadvisor). As a senior technical leader, you will own end-to-end ML solutions for a domain area, define the technical roadmap, and drive the execution of complex projects that improve customer experiences and business performance at scale. In this role, you will: Technical Leadership & Ownership • Own end-to-end ML solutions within your domain, from problem framing and metric design through data exploration, model development, deployment, and post-launch iteration, • Define technical direction for your area, including model architecture, system design, data contracts, and integration patterns with existing services, • Lead multi-quarter ML initiatives in partnership with engineering, product, and business stakeholders, driving projects from ambiguous requirements to production systems at scale, • Author technical blueprints and system designs that clearly outline objectives, constraints and trade-offs for complex ML systems Model Development & Production • Design and implement production-grade ML models (e.g., gradient-boosted trees, deep learning, optimisation algorithms, bandits/RL policies) that operate reliably under real-world constraints in collaboration with engineering., • Build robust training, evaluation, and serving pipelines with embedded observability, drift detection, and failure handling across the ML lifecycle, • Enhance experimentation and measurement strategies, including A/B tests, causal inference methods, and long-horizon metrics to ensure models deliver durable impact as data and user behaviour evolve Cross-Functional Collaboration & Influence • Partner with engineering teams to translate ML designs into scalable, maintainable production systems, ensuring alignment on timelines, dependencies, and technical standards, • Influence domain roadmaps by connecting ML opportunities to business objectives, articulating trade-offs, and building stakeholder alignment through evidence-based recommendations, • Translate ambiguous business problems into clear ML formulations with measurable success criteria, balancing technical feasibility with business impact, • Lead structured reviews with cross-functional partners, presenting complex technical concepts and trade-offs to both technical and non-technical audiences Standards, Mentorship & Team Development • Raise the technical bar for the broader science community by codifying best practices, experimentation standards, and reusable patterns, • Mentor other data and machine learning scientists, providing technical guidance through code reviews, design discussions, and knowledge sharing, • Drive adoption of AI best practices Experience & Qualifications: • Master’s or PhD in Computer Science, Statistics, Applied Mathematics, Operations Research, or related quantitative field, or equivalent industry experience, • 6+ years (Master’s) or 4+ years (PhD) of hands-on experience applying machine learning to real-world problems, • Demonstrated track record of leading at least one complex, multi-stakeholder production ML initiative that delivered measurable business impact Technical Depth • Deep ML expertise in supervised and unsupervised learning, including tree-based methods, generalised linear models, and/or deep learning, with strength in feature engineering, regularisation, calibration, and error analysis, • Strong experimentation and statistics skills: designing and interpreting A/B tests, understanding bias/variance and statistical power, and applying causal inference techniques (e.g., diff-in-diff, IV, matching) where randomisation is impractical, • Fluency in Python and core data/ML libraries (pandas, NumPy, scikit-learn, PyTorch or TensorFlow), combined with solid software engineering practices (clean code, testing, version control, code review), • Proficient with large-scale data: strong SQL skills and familiarity with distributed data processing (e.g., Spark, Hive) for building training datasets, features, and analytical views Leadership & Collaboration • Proven ability to lead through influence: aligning cross-functional stakeholders on problem definitions, success metrics, and rollout plans across multi-quarter projects, • Strong communication skills: articulating technical concepts, trade-offs, and recommendations clearly to both technical and non-technical audiences, • Experience with complex system diagnosis: combining logs, metrics, experiments, and domain intuition to identify root causes and drive data-informed remediation plans Preferred Qualifications • Experience with ads, auctions, marketplace optimisation, or bidding systems (e.g., CPC/CPA bidding, budget pacing, ranking, ROI optimisation, Controllers), • Familiarity with multi-objective or constrained optimisation problems, balancing competing objectives (e.g., profit, volume, ROI) using modelling, heuristics, or RL/bandit methods, • Hands-on experience with modern ML production practices: feature stores, model registries, CI/CD for ML, automated monitoring and alerting, • Experience shaping team-level technical direction: proposing and prioritising ML investments, identifying reusable components, and defining standards for experimentation and documentation, • Exposure to causal inference or advanced experimentation techniques in noisy business environments (e.g., geo-based tests, synthetic controls, uplift modelling), • Experience with AI/ML-driven systems, including exposure to large language models or foundation model fine-tuning and evaluation.

This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a Data Scientist, you’ll join a collaborative, high-performing team with a culture rooted in creativity, innovation, and excellence. In this role, you’ll design and deploy data models that power decision-making across every area of the club — from strategy, tactics, recruitment, and performance, to pre- and post-match analysis. You'll also play a key role in supporting the club’s commercial operations, including e-commerce and fan engagement. If you're passionate about using advanced data science to drive real-world impact in sport, this is the role for you. Key Responsibilities • Develop and apply statistical models and algorithms to analyse player performance, match outcomes, and tactical insights, • Collect, clean, and process football-related data from diverse sources, • Build clear, compelling visualizations and deliver insights to both technical and non-technical stakeholders, • Collaborate with analysts, coaches, and performance staff to understand requirements and translate them into actionable data solutions, • Stay up to date with advancements in sports analytics, machine learning, and data science methodologies Your Background • 3+ years of industry experience as a Data Scientist, plus a strong academic foundation, • Python Data Science Stack: Advanced proficiency in Python, including Pandas, NumPy and scikit-learn., • Statistical & Machine Learning Modelling: Experience with a variety of ML techniques (regression, classification, clustering, time-series forecasting), • Experience with deep learning frameworks such as Keras or PyTorch, • Model Deployment: Proven ability to productionise models, including building and deploying APIs, • Strong visualization and communication skills, with the ability to translate complex technical findings into actionable insights for coaches, analysts, and execs Highly Desirable Skills • Football Analytics Experience: Familiarity with football-specific datasets (event, tracking, positional), and libraries like mplsoccer, • Advanced MLOps & Modelling: Experience with the Vertex AI ecosystem, especially pipelines, and advanced techniques such as player valuation, tactical modelling, etc., • Bayesian Modelling: Knowledge of probabilistic programming (e.g., PyMC) for uncertainty-aware predictions, • Stakeholder Collaboration: Demonstrated ability to work directly with stakeholders to scope, iterate, and deliver impactful solutions in fast-moving environments What They Offer • A chance to work on real-world data that impacts elite football performance, • Access to high-value datasets, sports science teams, and cross-disciplinary experts, • A flexible hybrid working model (1 day per month in the London office), • The opportunity to grow within a digital-first team at a world-renowned football club, • The satisfaction of applying your engineering skills in an environment where your work directly influences results on the pitch

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. Your role Join our global Product Lifecycle Management (PLM) practice and help leading companies transform how they design, build, and deliver products. As a Junior PLM Consultant, you’ll work with 2,500 PLM experts worldwide on cutting-edge projects across defence, automotive, rail, aerospace, and consumer goods. This is your chance to gain hands-on experience, learn from industry leaders, and accelerate your career in a thriving PLM community. What You’ll Do: • Support the implementation and configuration of PLM solutions across diverse industries, • Collaborate with teams to translate business requirements into technical solutions, • Work with leading PLM platforms and technologies while learning from experienced mentors, • Contribute to digital transformation initiatives that deliver real business impact Your profile Bring your passion for technology and problem-solving to a role where you’ll grow fast and make an impact. We’re seeking someone with a strong technical foundation, curiosity, and the ability to thrive in dynamic, client-facing environments. You’ll Need: • A degree in Engineering or Computer Science, plus 1–2 years’ experience in PLM, IT consulting, or related technical roles, • Understanding of product development processes and exposure to PLM systems (e.g., Teamcenter, Windchill, 3DEXPERIENCE), • Strong analytical skills, adaptability, and excellent communication for working with diverse teams What you'll love about working here • Open access to digital learning platforms, • Active employee networks promoting diversity, equity and inclusion like OutFront, CapAbility or Women@Capgemini Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who • Declare they have a disability, and, • Meet the minimum essential criteria for the role., • Please opt in during the application process. Need to know • All roles will require a level of security clearance; BPSS OR Security Clearance, • OR Developed Vetting., • You can bring your whole self to work. At Capgemini building an inclusive, • future is part of everyday life and will be part of your working reality. We have, • built a representative and welcoming environment, for everyone., • This role can be based London, Manchester or Birmingham Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

PaymentGenes is proud to be partnering with a high-growth, international technology organisation to appoint a Senior / Lead Data Engineer (AI-Focused). This is a strategic hire for a business investing heavily in AI-enabled products and advanced analytics. If you are passionate about architecting modern data platforms that power real AI at scale — this opportunity is for you. This is more than a data engineering role! You will define and scale the organisation’s data platform to power advanced analytics, machine learning, and AI-driven products. Combining deep technical expertise with architectural leadership, you’ll shape long-term data strategy while remaining hands-on in building robust, production-grade systems. You will be accountable for platform reliability, scalability, governance, and AI enablement across the business. 🌐 What You’ll Do 🏗 Data Platform Architecture & Strategy • Define and evolve the data architecture roadmap, • Design scalable ELT/ETL frameworks using DBT and cloud data warehouses, • Establish orchestration standards (Dagster or equivalent), • Drive decisions across batch, streaming, and real-time pipelines, • Architect data foundations supporting the ML lifecycle, • Design feature stores, embedding pipelines, and AI-ready datasets, • Enable MLOps workflows (data versioning, monitoring, retraining triggers), • Support production inference (batch and real-time), • Set best practices for testing, documentation, lineage, and observability, • Lead code reviews and mentor data & analytics engineers, • Drive CI/CD and infrastructure-as-code adoption, • Own platform reliability, performance optimisation, and cost efficiency, • Partner with Data Science, Product, and Engineering leadership, • Translate business strategy into scalable data solutions, • Influence KPI and metric governance across teams, • Act as technical escalation point for complex data challenges 🛠 Technical Environment Core Expertise • Advanced SQL & Python, • Deep DBT experience (modelling, testing, macros, documentation), • Workflow orchestration (Dagster preferred), • Cloud data warehouses (Snowflake, BigQuery, Redshift, etc.), • Data modelling for analytics and AI use cases, • Feature engineering architecture, • ML pipeline and deployment workflows, • Experience supporting production ML systems, • Familiarity with embeddings, vector databases, LLM orchestration (desirable), • CI/CD for data workflows, • Git-based engineering standards, • Docker / containerisation, • Infrastructure-as-code (e.g., Terraform), • Monitoring and alerting systems 👤 What We’re Looking For • 6–10+ years in data engineering or related disciplines, • Proven experience architecting and scaling modern data platforms, • Experience enabling ML/AI production workflows, • Demonstrated technical leadership and mentoring, • Ability to influence senior stakeholders You’ll Thrive If You Have: • Architectural thinking with long-term vision, • Strong decision-making under ambiguity, • The ability to balance innovation with reliability, • Clear communication across technical and non-technical audiences, • A strong ownership mindset and accountability for outcomes 📈 What Success Looks Like • A scalable, reliable data platform powering AI and analytics growth, • Reduced ML time-to-production, • High levels of data quality, observability, and governance maturity, • Improved cost-performance efficiency across the data stack, • A strong, growing data engineering capability within the team This is a high-impact leadership role within a forward-thinking technology environment where AI and data are core to the business strategy. If this excites you, please reach out to the PaymentGenes team directly via LinkedIn, who can provide more detail and insight into this company's journey into AI and the opportunity.

Represented by Stax – DeepTech & AI Talent Partner Stax is partnering with a venture-backed AI company building advanced virtual agents designed to automate complex operational workflows for enterprise organisations. Following recent investment and strong early traction, the company is entering an exciting phase of growth and expanding its engineering team to support the next generation of its platform. Revenue increased by 400% in Q4 2025, and the company is targeting a further 4x increase in revenue as it continues to scale. The leadership team includes engineers and researchers from organisations such as Apple, Oxford University, and Cambridge University, bringing together deep technical expertise and world-class research backgrounds. Their platform enables organisations to deploy intelligent agents capable of learning, adapting, and executing real operational processes. At the heart of this vision is a platform that allows these agents to be trained, evaluated, and continuously improved as they interact with real-world workflows. The company is now hiring an AI Engineering Manager (Agentic) to lead the development of this core platform and help define the architecture behind the next generation of intelligent automation systems. This role will report directly to the CTO and lead a team focused on building and scaling the company’s agent platform. The Opportunity This is a senior technical leadership role focused on shaping the systems that enable intelligent agents to learn, evolve, and operate reliably in production environments. You will work closely with engineering and product leadership to define the technical direction of the platform while leading a team of experienced engineers responsible for building and scaling it. This is an opportunity to play a key role in defining the architecture behind a rapidly evolving AI platform and to help shape the future of intelligent automation. Technology Environment The platform sits at the intersection of AI systems, automation, and scalable platform engineering, typically involving technologies such as: • Large language model–driven systems, • AI-assisted automation and orchestration, • Intelligent workflow systems, • Data pipelines and evaluation frameworks, • Distributed platform architectures What We’re Looking For Core Experience • Strong experience building complex software platforms or distributed systems, • Experience working with AI-driven or automation-focused products, • Ability to define and deliver technical vision for a platform or product area, • Experience leading or mentoring senior engineering teams, • A strong systems-thinking and platform engineering mindset Additional Experience • Experience in high-growth technology environments, • Exposure to enterprise-scale software systems, • Familiarity with automation, workflow platforms, or AI evaluation approaches Why This Role Matters This platform sits at the centre of how the company’s technology evolves. Every system built and every workflow automated contributes to improving the intelligence and capability of the platform. Building the right architecture will enable the product to scale efficiently while continuously improving over time. This role offers the opportunity to shape that foundation and have a meaningful impact on the future direction of the technology. Apply If you're excited about shaping the architecture behind next-generation AI platforms and tackling complex technical challenges, we’d love to hear from you. Apply directly or reach out to Stax for a confidential conversation. Due to the high volume of applications we receive, we may not be able to respond to every applicant individually. However, we will endeavour to contact candidates whose experience most closely aligns with the requirements of the role.

Staff Product Engineer - £150,000 + Equity Location: Shoreditch, London About the Opportunity A high-growth AI-first law firm is looking to transform the UK conveyancing market, starting with the legal process behind every property transaction. Currently, conveyancing is slow, opaque and unreliable, with one in three transactions falling through and complaints significantly higher than in other legal sectors. Many firms still rely on outdated manual processes. This business aims to disrupt a £2.5 billion market by combining deep domain expertise with cutting-edge AI technology, with ambitions to expand into a full-service, AI-powered law firm with global reach. The Role The firm is seeking a Staff Product Engineer to join as an early member of a small, high-calibre engineering team. This is a product-first role: from day one, the engineer will help shape product direction, speak directly with users, define ambiguous requirements and ship features to production quickly. The team values engineers who take ownership of outcomes and think beyond tickets. Candidate Profile • Experience in early-stage startups, influencing product strategy, • User-problem focused, not purely technical solution-oriented, • Experience scaling TypeScript codebases, • Comfortable building AI agents or LLM-powered systems beyond simple prompting, • High attention to detail and pride in engineering craft, • Academic or applied experience in machine learning, • Experience bridging research and production systems What’s on Offer • £150,000 depending on experience, • Meaningful early-stage equity, • 5% employer pension contribution, • Comprehensive private medical cover including dental and optical, • 25 days holiday plus bank holidays, • Choice of AI tooling

Salary: £70k - £100k + equity Location: Hybrid (London) The world is facing a nature crisis. We have lost 85% of the world’s wetlands, 35% of its forests and 65% of its living creatures. Action on nature is the next frontier for sustainability, as the world has to move beyond net zero to nature positive future. Natcap is on a mission to accelerate the nature-positive transition by integrating nature intelligence into business decision-making. We support the world's leading companies to prioritise, measure and act on nature impacts, dependencies, risks and opportunities. We’re seeking an exceptional Platform Engineer to bring depth, experience and momentum to our engineering team. We’re a scaling company with a small (<10), highly hands-on engineering team - everyone builds, ships, and owns outcomes. We’re looking for an experienced doer: someone with deep infrastructure, software- and data-engineering tooling expertise who takes pride in delivering, completing, and improving systems in a practical, hands-on way. There’s real scope for impact, whether you’re ambitious and eager to shape our infrastructure as we scale, or a seasoned engineer ready to apply your experience to mature and strengthen our stack and operations. You will work alongside colleagues in Product, Design, Delivery, Science, and Engineering to develop a top-tier product that is easy to use, performs well, and maintains high security. Your role will involve comprehensive engagement across our product and data platform. You will quickly gain expertise in our domain - ecology & biodiversity, nature regulation, and reporting frameworks - and communicate effectively with other teams. This role offers a unique opportunity to apply your technical skills to combat the nature crisis in a highly impactful position that will shape the nature platform we are building at Natcap. What you’ll do in this role: You will support our software engineering team (smart, proactive, experienced and established yet always keen to learn) by working alongside them. The projects may be infrastructure driven (e.g. private networking, cost optimisation, scalability adjustments) or software-delivery driven (CI/CD, automation of data processing, communication between different stack elements to achieve desired functionality). The following skills and knowledge will come useful every week: • The design, implementation, and management of secure, resilient, and scalable cloud infrastructure., • Building and managing solutions on the AWS cloud platform, with knowledge of Google Cloud being advantageous., • Developing Infrastructure as Code (IaC) and Configuration Management (CM) using tools such as Terraform and Ansible to enhance infrastructure deployments and security configurations., • Applying security best practices and compliance benchmarks to cloud infrastructure with IaC and CM tools, using AWS security services to standardise and improve the security posture of our cloud infrastructure., • Integrating the testing, deployment and management of IaC and CM with CI/CD pipelines, using tools such as GitHub Actions., • Configuring and managing deployments of applications on container platforms such as Kubernetes, Lambda, EKS, and ECS - with experience of Kubernetes/EKS preferred., • Implementing and maintaining security controls within the delivery pipeline, including SAST, vulnerability scanning, and code linting tools., • Leveraging AWS services like CloudWatch, Athena, Config and CloudTrail to monitor and help secure cloud infrastructure., • Supporting ongoing software development and data processing functions with pragmatic and efficient uses of the existing infrastructure and tools (tradeoffs between financial, performance and security optimisation being one of key aspects in making decisions)., • Finding opportunities for improvement and innovation across the stack (employing AWS Bedrock, automation opportunities, serverless optimisation). Our software and data stack is: • Python & JavaScript web application, deployed using CI/CD based on gitHub actions., • GraphQL APIs, PostgreSQL database (RDS)., • Data processing pipelines using Argo Workflows and Metaflow, with SQS-based events. What we’re looking for: Must haves: • Deep experience in DevOps/Infrastructure or Platform Engineering. Equivalent to a Lead role in a start up environment, or senior - staff level in a larger corporate., • Has deep expertise in AWS., • Is confident building Infrastructure as Code, including working with Terraform., • Has experience embedding and maintaining new tools and processes across the pipeline & tech stack (e.g., introducing vulnerability scanning)., • Understands best practices in building secure & scalable infrastructure, and adopting best practices to smaller organisations., • Is confident making tradeoffs between competing priorities to deliver the best outcomes for the business (e.g., budget, security, developer experience)., • Is comfortable supporting our product & data stack (Python, JavaScrip, GraphQL, APIs, PostgreSQL database)., • A strong communicator, able to build strong relationships with technical and non-technical stakeholders, being a supportive team member, enjoying working in a tight-knit team., • Thrives in a startup environment - enjoys fast-paced environments, being able to act autonomously, comfortable with ambiguity and rapidly changing priorities., • Has knowledge of Google Cloud., • Is familiar with Argo Workflows, Metaflow and SQS/event-driven patterns., • Has deep Kubernetes/EKS operations experience. What you'll get: • The opportunity to build a company solving the world’s most urgent sustainability challenge., • A high-impact role in a mission-driven team., • Enhanced parental, carers, compassionate, and emergency leave., • Competitive compensation + equity package., • Chance to quickly grow personally and professionally., • Regular off-sites to reflect, plan, and bond as a team., • Dedicated learning & development budget., • Wellness and lifestyle benefits package. Find out more about us at ___

About BeyondMath BeyondMath is a pioneering startup, backed by top-tier VCs, on a mission to reshape the frontiers of engineering through Foundational AI models for Physics. We are replacing traditional, slow and expensive simulation methods with AI that rivals accuracy at orders of magnitude higher speed. We are moving beyond the "generic AI" hype to solve the world’s hardest physical engineering challenges in automotive, aerospace, and energy. The Role As a Machine Learning Engineer, you’ll play a central role in advancing our Generative Physics simulation platform. You’ll work at the intersection of ML research and engineering—contributing to core model development, shaping model architecture, and delivering performant systems that integrate seamlessly into our real-world design optimization workflows. You'll work closely with our ML research team, software engineers, and industry partners to deploy robust, scalable models that deliver real-world impact. Responsibilities • Physics-Focused AI Model Development: Design and train deep learning models for physics simulation across aerodynamic and engineering domains., • Scalability & Performance: Drive optimization efforts for model inference speed, accuracy, and robustness on large-scale industrial datasets., • Geometry Representation: Research effective ways to represent geometric design variations for efficient use by machine learning models., • Production Integration: Partner with engineering teams to deploy and monitor models in production-grade pipelines and tools., • Architecture & Design: Contribute to design decisions around model and data architecture, tooling, and ML infrastructure. Essential Requirements • Industrial Experience: Strong track record applying ML to complex real-world problems (ideally including geometry or physical systems)., • Foundational Knowledge: Deep understanding of machine learning theory, including optimization, generalisation, and various model architectures., • Programming: Strong python skills and experience with deep learning libraries (TensorFlow/PyTorch/JAX)., • Communication: Ability to clearly explain complex ML concepts and research findings to both technical and non-technical audiences., • Education: Master's Degree (PhD preferred) in Machine Learning, Computer Science, or a related quantitative field. Highly Desirable • Aerodynamics/CFD Expertise: Familiarity with aerodynamic principles and computational fluid dynamics is a major plus., • Design Optimization: Prior experience in optimization algorithms, particularly in the context of engineering design., • Physics/Science ML: Experience integrating physical laws or constraints into machine learning models. Why Join Us? • Full Ownership: You will have a direct seat at the table in shaping the future of a company redefining an entire industry., • High Impact: Your work will directly accelerate the transition to sustainable energy and more efficient transport., • Elite Team: Work alongside veterans from world-leading AI labs and engineering firms in a culture of "impact with integrity."

Role Summary As an AI Architect, you will guide the strategy and delivery for interoperable, compliant, and economically viable modern AI solutions. You will architectures across a Hybrid AI landscape, blending Frontier Models (Azure OpenAI/Gemini) with Cost-Efficient Small Language Models (SLMs) and Edge Inference. You will craft solutions based on advanced AI technologies from OpenAI, NVIDIA, Google, , Microsoft and AWS. This role has a focus on enabling advanced Agentic AI solutions that transform core business functions and enable the future hybrid workforce. Working at the highest levels, you will engage AI, Technology and Business leaders in the world’s most successful organizations. You will lead architectural design, establish best practices, for our most complex AI initiatives. This role requires a combination of deep hands-on technical expertise in advanced AI with strategic business acumen, serving as both a technical authority and a trusted advisor to clients What you’ll do Multi-Agent Architecture Patterns: Define and govern reference architecture for multi-agent systems, covering hierarchical, peer-to-peer, and sequential (ReAct) orchestration models. Guide teams on pattern selection based on client use cases. Memory System Design: Architect the standards for integrated memory systems, including short-term session state, long-term knowledge via vector databases and knowledge graphs, and episodic/audit memory. Ensure coherent retrieval strategies across layers. Retrieval-Augmented Generation (RAG) and CAG (Cache Augmented) Architecture: Define architectural patterns for end-to-end RAG pipelines, including chunking, embedding, vector search (e.g., Azure Cognitive Search, pgvector), and reranking. Ensure designs include standards for lineage, observability, and evaluation (e.g., RAGAS). Cross-Cloud & Vendor Integration: Create and maintain decision frameworks for platform selection (e.g., Copilot Studio for Teams integration, Vertex AI for GCP workloads). Advise clients on balancing vendor lock-in risks with integration benefits. GenAIOps & Observability: Define the architectural standards for GenAIOps, including CI/CD, IaC, and observability. Establish standard metrics to track agent decision traces, latency, token consumption, hallucination, and cost. Safety, Security & Governance: Architect enterprise-wide guardrails for safety (hallucination mitigation), security (prompt injection defense, PII masking), and fairness (bias detection). Apply governance frameworks (NIST AI RMF, ISO 42001) and design human-in-the-loop (HITL) workflows. Enterprise Integration & Scalability: Architect scalable integration patterns for agentic systems with enterprise platforms (Microsoft Entra ID, Teams, Dynamics/Salesforce, ERPs) and compute (Kubernetes). Ensure patterns address security, data residency, and compliance. Technical Leadership & Client Advisory: Combine technical architecture with strategic guidance. Lead C-level workshops on Agentic AI adoption, advise on roadmaps, and shape technology strategy. Mentor other architects and contribute to industry thought leadership. Thought leadership and public speaking: Present at industry events and publish articles that advance the AI industry. Core Qualifications (The Bar) -Enterprise Experience: 8–10+ years in technical leadership, with a strong background in both software engineering and enterprise-scale cloud architecture. -Cloud Expertise: Architectural expertise with one primary cloud platform (Azure, GCP, or AWS) and hands-on familiarity with at least one other. -GenAI & LLM Depth: Demonstrated experience architecting and guiding solutions using GenAI platforms (e.g., Azure OpenAI, Vertex AI, or AWS Bedrock). -RAG & Orchestration: Proven experience designing complex RAG pipelines. -Model Fine-tuning: Experience with instruction tuning or fine-tuning strategies for LLMs. -Leadership & Advisory Skills: Exceptional communication skills with demonstrated experience advising senior stakeholders (Director/C-Level) on technical strategy, roadmaps, and governance. Preferred Qualifications (The Differentiators) • Multi-Agent Systems: Deep understanding of, and experience designing or prototyping, advanced multi-agent systems (e.g., task decomposition, collaborative agents)., • Multi-Cloud Experience: hands-on architectural expertise across all three major clouds (Azure, AWS, GCP)., • GenAI Ops & Governance: Hands-on experience with GenAI Ops tooling. Familiarity with AI governance frameworks (NIST AI RMF, ISO 42001) and their practical application. And AI FinOps & Model Routing, • Framework Expertise: Hands-on development experience with one or more orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel)., • Thought Leadership & Open Source: Published work (whitepapers, patents), conference speaking engagements, or active contributions to relevant open-source projects., • Certifications: Professional-level cloud certifications (e.g., Azure Solutions Architect Expert, AWS Solutions Architect Professional, GCP Professional Cloud Architect). Compensation & Benefits Role: 1 Senior Architect: Own end-to-end architecture for 1–3 programs/accounts. Lead technical architecture reviews and decision-making on agentic design patterns. Mentor senior engineers and emerging Architects. Drive thought leadership through internal documentation and architecture governance. Represent HCLTech in client C-level conversations for assigned accounts. Role: 2 Principal Architect: Portfolio-level ownership across multiple clients and programs. Define enterprise strategy for agentic AI adoption—roadmaps, best practices, architectural standards, and governance frameworks. Influence global partner strategies (Microsoft, Google, AWS) and contribute to HCLTech’ s overall AI/Cloud roadmap. Represent HCLTech as a recognized industry leader through conference speaking, published research, and advisory board participation. Mentor other architects and shape hiring/capability building for the AI architecture practice. Soft Skills & Behavioural Competencies We are looking for professionals who combine deep technical expertise with strong interpersonal and leadership abilities. Specifically: • Clear, Multi-Level Communication, • Strategic Thinking & Advisory Mindset, • Cross-Functional & Cross-Vendor Collaboration, • Pragmatic Problem-Solving, • Ownership & Accountability, • Continuous Learning & Adaptability, • Customer Obsession & Trust-Building, • Leadership & Mentorship, • Change Agent Mindset

GenAI Engineer About Klarus Klarus is a global, senior-led AI consultancy delivering technology-enabled transformation and measurable business impact. We partner with boards and executive teams navigating complex operating model change, digital transformation, and responsible AI adoption. Our focus is not advisory theory but execution with accountability. We combine deep sector expertise with hands-on transformation leadership and agentic AI to shape value cases, redesign operating models, strengthen governance, and embed scalable digital and AI capability. The result is reduced risk, accelerated delivery and technology investment that translates into durable enterprise outcomes. If you are ambitious, growth-oriented and excited by the opportunity to help build a next-generation consulting firm while delivering meaningful transformation for clients, Klarus offers a genuinely compelling career trajectory. Role Summary As a GenAI Engineer, you will design, build and scale the next generation of agentic AI capabilities across our consulting and client environments. This is a hands-on technical role that blends systems architecture, agent design, applied LLM engineering, and enabling others through frameworks, education and tooling. You will work closely with our AI strategy, data, and delivery teams to embed GenAI safely and effectively across multiple use cases. Key Responsibilities 1. Environment & Architecture Set-Up • Design, configure and manage secure GenAI development environments (Azure, AWS, GCP, or hybrid)., • Design and implement agent orchestration architectures using frameworks such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or custom event-driven systems., • Integrate with enterprise systems, APIs, data stores and operational tooling., • Establish governance frameworks covering PII detection and minimisation, retention and deletion policies for embeddings/state, audit logging, and alignment to client compliance requirements (e.g., GDPR, SOC2/ISO27001 where applicable). 2. Bespoke AI Agent Creation • Build custom domain-specific agents using OpenAI, Claude, Gemini or other LLM providers., • Design multi-step agent workflows, toolchains and action schemas for complex reasoning and execution., • Design and optimise short-term and long-term memory systems including vector-based retrieval memory, conversation state management, and external persistence layers., • Prototype, test and productionise agents for internal teams and external client projects. 3. Framework & Standards Development • Create reusable frameworks, patterns and templates for agent development (e.g., prompt libraries, tool adapters, orchestration patterns, evaluation frameworks)., • Establish coding standards, model evaluation criteria and agent lifecycle guidelines., • Build self-service components that enable consultants and engineers to develop agents safely and consistently., • Document architecture, best practices and technical decision-making. 4. Education, Enablement & Training • Deliver training sessions to consultants, engineers and client teams on building and using GenAI agents., • Produce clear guides, playbooks and learning modules for non-technical users., • Mentor junior engineers and act as a subject-matter expert on LLM technologies and agentic patterns. 5. Experimentation, Evaluation & Improvement • Run experiments across model types, prompting approaches, RAG strategies and agent coordination methods., • Evaluate models for performance, cost, safety and reliability., • Contribute to continuous improvement of internal AI tooling, pipelines and architecture. Skills & Experience Technical • Strong hands-on experience delivering production LLM systems using major providers (OpenAI, Anthropic, Google), • Proficiency in Python or JavaScript/TypeScript for agent logic, tool integration and orchestration., • Experience with vector databases (Pinecone, Chroma, Weaviate, Redis, etc.)., • Solid understanding of RAG pipelines, embeddings, prompt engineering and LLM evaluation., • Familiarity with containerisation, CI/CD, cloud security, and API integration., • Experience deploying GenAI applications into production environments (e.g. latency optimization, caching strategies, rate limiting, concurrency management, streaming responses, and cost controls). Consulting / Delivery • Ability to translate business requirements into technical AI solutions., • Strong communication skills, especially in explaining GenAI concepts to non-technical audiences., • Experience working in client-facing or cross-functional project teams.

Position Overview: We are seeking a Staff Software Engineer to join our innovative Biometrics team, where you will lead the architectural design and full-stack development of cutting-edge digital identity verification solutions. You will play a pivotal role in shaping the future of biometric authentication technology, from face matching and liveness detection to seamless user experience across web, iOS, and Android platforms. This role combines deep technical expertise with strategic thinking to drive the evolution of our biometrics platform in an industry rapidly advancing toward quantum computing and zero-knowledge proof paradigms. Responsibilities: • Lead the full-stack architectural design and implementation of biometric identity verification solutions spanning React web applications, Swift iOS SDKs, and Kotlin Android SDKs, • Drive technical strategy and roadmap development for the Biometrics platform, ensuring alignment with emerging industry standards including NIST FRTE and FIDO Alliance requirements, • Design and optimize Python-based AI/ML backend systems for biometric processing, with integration points across Ruby and Elixir microservices, • Collaborate with cross-functional teams to implement privacy-compliant solutions adhering to BIPA, CUBI, ETSI, and GDPR regulations, • Mentor and guide engineering teams through complex technical challenges, code reviews, and architectural decisions, • Partner with product management and engineering leadership to translate business requirements into scalable technical solutions, • Champion software security best practices including secure SDLC, cryptographic implementation, and code obfuscation techniques, • Lead the evaluation and integration of emerging technologies such as quantum-resistant cryptography and zero-knowledge proof systems, • Drive continuous improvement of development processes, deployment pipelines, and system reliability, • Represent Entrust's technical capabilities in industry forums and contribute to open-source biometric standards Your future short-term and major projects: • Grow adoption of Biometrics products, from face matching, liveness detection and authentication, all the way to how these are integrated from user experience to mobile development and backend processing, • Work with Director of Engineering and your Staff Engineer+ peers to define path forward for how Biometrics technology will evolve in the context of our team, but also in the context of the Entrust ecosystem and, ultimately, our position in the Digital Identity industry landscape, • Architect and implement quantum-resistant cryptographic protocols for biometric data protection and zero-knowledge proof integration, • Contribute to design of unified SDK architecture that provides consistent developer experience across React, Swift, and Kotlin platforms, • Drive the development of real-time biometric liveness detection capabilities with sub-second response times and 99.9% accuracy Basic Qualifications, Skills & Experience • Bachelor's degree in Computer Science, Software Engineering, or related technical field, • 8+ years of professional software development experience with a focus on full-stack engineering, • 4+ years of experience in a senior or staff-level engineering role with demonstrated technical leadership, • Expert-level proficiency in at least two of the following: Python (preferred), React/TypeScript (preferred), Swift/iOS development, Kotlin/Android development, • Strong experience with cloud platforms (AWS, Azure, GCP) and containerized deployment using Docker and Kubernetes, • Proven track record of designing and implementing scalable distributed systems and microservices architectures, • General understanding of modern AI/ML frameworks (TensorFlow, PyTorch) and model deployment in production, • Deep understanding of software security principles, cryptography, and privacy-by-design methodologies, • Experience with agile development methodologies and modern DevOps practices, • Strong communication skills with ability to explain complex technical concepts to diverse audiences Preferred Qualifications, Skills & Experience: • Experience in multi-threaded applications and high-performance computing environments, • Experience with software security concepts (secure SDLC, cryptography, obfuscation, code signing, and security testing), • Experience with SaaS development and deployment at scale, • Experience with Docker, Kubernetes, Terraform or similar, • Experience with monitoring tools like Sentry, NewRelic, Datadog, Splunk or similar, • Experience in SSO, SAML 2.0, OAuth 2.0, and modern identity federation protocols, • Experience developing a commercial/external software product with external API consumers, • Previous work in biometrics, computer vision, or identity verification domains, • Knowledge of privacy regulations (GDPR, BIPA, CCPA) and their technical implementation requirements, • Experience with Ruby on Rails, Elixir/Phoenix, or other backend frameworks beyond Python, • Understanding of zero-knowledge proof systems and their practical applications, • Experience with mobile app security, including certificate pinning, runtime application self-protection (RASP), and anti-tampering techniques, • Masters or PhD in Computer Science, Machine Learning, or related field, • Familiarity with quantum computing concepts and post-quantum cryptography We're hiring in either London or Lisbon!

💼 Position: Senior Data Scientist 💵 Salary: £70,000 - £80,000 base + 12% flexible benefits 🌍 Location: London, UK (Hybrid – 3 days in office, 2 remote) An FTSE-listed global FinTech company is looking to hire a Senior Data Scientist in their Trading & Operations function, with deep experience leading high‑impact data science projects end‑to‑end, from problem framing and exploratory analysis through modelling, experimentation and working with MLE. You’ll collaborate with data engineering, platforms, web, messaging, analytics, marketing, risk and product. This is a key senior hire, driven by strong and growing demand for data science across the business. What you'll be doing: • Lead end-to-end data science projects: problem framing, EDA, modelling, experimentation, and working with MLEs to deploy into production, • Apply statistics, A/B testing and causal inference to inform product, growth, commercial and risk decisions, • Work with diverse structured and unstructured data across client behaviour, operations and financial domains, • Build advanced models and data products, including customer and growth models, recommendation systems, gradient boosting & ensemble methods, NLP / text analytics, time-series forecasting, & generative AI use cases, • Monitor model performance and design experiments tied to clear hypotheses, • Translate ambiguous business questions into measurable, actionable solutions, • Coach and mentor junior data scientists, raising the bar on technical quality, delivery and communication What we’re looking for: • 5+ years’ experience applying data science and ML to real-world business problems, • Strong grounding in statistics, experimentation and analytical reasoning, • Proven experience building predictive models and taking them to production, • Ability to communicate complex analysis clearly to non-technical stakeholders, • Comfortable working with imperfect, large-scale data in a fast-moving environment, • Strong Python and SQL skills, • Cloud experience (ideally GCP, but transferable skills welcomed) Nice to have: • Experience in financial services (not essential — support and training provided), • Exposure to marketing analytics or MMM projects, • Master’s level education in Data Science, Machine Learning or a related field What’s in it for you: • Competitive base salary + 12% flexible benefits, • Private medical cover (including family), • Life insurance, • Gym contribution, • 25 days holiday + birthday off + 2 volunteering days (28 total), • Buy/sell holiday options, • Unlimited access to an online learning platform Don't miss out on this incredible career opportunity! Apply now to become part of a dynamic team, or send an up-to-date resume to the details below. +1 212 970 7603

We’re hiring a Head of Data Science 🚀 Current Product Status Our AI-powered retail discovery platform is now live on the App Store following beta testing with 2,000+ users. Since full launch just a few weeks ago, we’ve grown to ~1,000 active users. The platform enables two powerful discovery methods: • Natural language search (describe what you’re looking for), • Visual search (upload an image to find similar items) As we scale, visual search is our top product priority. We’re looking for a hands-on technical leader who can deliver across three core areas within six months: • Support and optimize the existing system, • Drive roadmap feature development, • Build and implement production-ready AI systems Primary Requirement: Deep expertise in computer vision Secondary but essential: Conversational AI + data transformation This is not a narrow research role. We need someone with broad AI fluency across: • Generative AI, • Conversational AI, • LLaMA and large model ecosystems, • Data transformation & data engineering, • Production ML systems We work with: • Structured & unstructured retail data, • Labeled image datasets, • Unlabeled conversational history (feedback integration is on our roadmap) You must be comfortable with: • AWS, Python, CI/CD, Terraform, • Production ML pipelines, • Embeddings, transfer learning, teacher-student learning, • Large vision models and optimization for scale Red flags: • Generic “we’ll just improve the model” thinking, • Only knowing basic PyTorch without broader ecosystem knowledge, • No real-world deployment or scalability experience Team Environment • Data science team: 3 (, • Engineering team: 7, • Highly collaborative, execution-focused culture We need someone who can mentor junior team members, guide architecture decisions, and ship. If you’ve built and scaled real-world AI systems, not just research prototypes, please hit the apply button.

Windows Platform Engineer with advanced PowerShell & IaC experience sought by a Elite and London-headquartered Alternative Investment Manager. Our client is highly innovative and technology-driven and is largely recognised as a Centre-of-Excellence for all things Microsoft. We have been mandated to identify a high-energy and proactive Windows Automation & Platform Engineer with expertise in PowerShell, a passion for Infrastructure-as-Code, and robust experience and skills with Microsoft Infrastructure Platforms. You will join a small but highly collaborative and logical team owning Wintel platforms and Automations across complex, multi-site environments, in a Project Lead Engineer capacity. You will work directly with highly sophisticated customers managing Billions of AUM via Systematic Strategies as well as partnering with Peer Technology teams. You will own Windows-based infrastructure and IaC projects from an idea, into architecture and design through implementation, testing, and operational handover. We require someone who enjoys working with users in order to build trust and confidence, with high energy and enthusiasm who enjoys learning and keeping very busy with highly varied and deeply technical engineering work, in a flat non-bureaucratic environment with state-of-the art platforms. Requirements • Deep expertise in Windows Server Administration (e.g. Active Directory, Group Policy, DNS, DHCP, file/print services)., • Automate everything: using PowerShell or your language of choice to eliminate toil and fix issues at the source. This should include PowerShell Tooling and Multi-Function Modules., • Apply Infrastructure as Code principles to deliver repeatable, version-controlled infrastructure., • Hands-on experience with virtualization technologies (e.g. VMware, Hyper-V, VDI) and cloud (e.g. Azure, AWS)., • Strong understanding of enterprise security and compliance requirements in modern Windows environments., • The ability to continuously assess and improve existing systems, designing scalable, secure solutions that stand the test of time., • Clear communicator who documents designs, implementation plans, and lessons learned., • Collaborative mindset - able to work seamlessly with engineers, vendors, and stakeholders to get things done., • Logical and demonstrable problem solver with fantastic communication skills (concise/to the point/honest/humble...)., • Experienced working in high performance, fast-paced, and demanding environments with a level of autonomy., • Finance / Trading experience is not a requirement, but applicants must have experience of directly supporting users in an advanced and mission-critical Windows Infrastructure environment. This is an outstanding opportunity for a talented, enthusiastic and deeply technical Wintel Engineer to take ownership of one of the most advanced Windows environments in London. Candidates must be able to work onsite in Central London four days per week, with standard working hours if 8am-6pm. In return, you will be able to build a long-term career in a highly innovative and modern business, with outstanding remuneration (base salary and annual bonus) and excellent benefits.

12 months contract/Onsite/Rate 550 pounds per day Inside IR 35 Description: Join our Growth Marketing Technology team to help shape the future of marketing through data-driven innovation and AI-powered solutions. As a Product Manager III, you’ll play a pivotal role in developing scalable marketing technologies that enhance automation, measurement, and personalization across global marketing campaigns on platforms. What You’ll Do • Drive product development across data, automation, and AI/ML capabilities to support marketing scalability and efficiency., • Collaborate with engineering, data science, and analytics teams to deliver robust measurement and optimization tools., • Translate complex technical concepts into actionable product requirements and communicate them effectively across stakeholders., • Lead initiatives to integrate generative AI into marketing workflows, including content generation and ad creative optimization., • Conduct market and trend analysis to inform product strategy and identify opportunities for innovation., • Build deep understanding of data infrastructure and able to source data dictionaries, database schema for wider use, • Write user stories, acceptance criteria, hypotheses and success metrics for new product features or enhancements Who You Are • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or equivalent experience., • 5+ years of product management experience, ideally in marketing platforms, data products and AI/ML applications., • Strong technical acumen with experience in data engineering, workflow orchestration, and machine learning operations., • Excellent communication skills with the ability to influence cross-functional teams and stakeholders., • Experience with Python, SQL, Java, HQL, Hive, Pyspark, or similar programming languages preferred, • Well-versed in design thinking principles, • Great problem-solving and analytical skills

The Challenge Cardiometabolic conditions will impact 80-90% of people throughout their lifetimes, representing the leading cause of death globally and an important risk factor for a variety of neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models. The Opportunity This is a ground-floor opportunity to shape the future of AI-driven population health management at Onsera Health. Backed by Population Health Partners (PHP)—the proven venture platform behind Metsera (Acquired by Pfizer), Areteia Therapeutics, and Corsera Health—we're building the future of population health. As an AI Engineer, you'll be core to designing and developing patient facing agentic AI systems. You'll work closely with the Clinical and Product teams to operationalize production-grade agentic workflows, design experiments, and rigorously evaluate model performance to ensure impact and safety. You'll build voice based intake workflows, patient engagement systems, clinician-facing tooling and more. Responsibilities • Design and develop patient-facing agentic AI systems, including voice-based intake workflows, patient engagement tools, and clinician-facing applications, • Build and deploy production-grade agentic workflows using LLMs, ensuring reliability, safety, and clinical appropriateness, • Design experiments and rigorously evaluate model performance across accuracy, latency, safety, and user experience metrics, • Partner closely with Clinical, Product, and Engineering teams to translate clinical requirements into robust AI solutions, • Communicate technical approaches and findings to both technical and non-technical stakeholders through clear documentation and presentations What we offer • Mission-driven work addressing critical public health and healthcare economics challenges, • Ground-floor opportunity to shape a breakthrough healthcare AI solution, • Partnership with a world-class team of venture capitalists, innovators, technologists, bioscientists, and clinicians from PHP and beyond, • A fast-paced, dynamic, and highly collaborative work environment, • Competitive salary and benefits package, including participation in our equity program Minimum qualifications • 2+ years of experience in AI/ML engineering, software engineering with ML focus, or a related field (exceptional recent graduates with strong project experience or research welcome), • BS or MS in Computer Science, Machine Learning, Mathematics, or a related quantitative discipline, • Strong Python proficiency and hands-on experience building with LLMs (prompt engineering, RAG, function calling, agent frameworks), • Experience with agent orchestration frameworks (e.g., LangGraph), • Strong software engineering fundamentals such as writing clean code, version control, testing, • Excellent communication skills and comfort working in fast-paced, cross-functional teams Preferred qualifications • Experience building voice AI or conversational AI systems, • Experience with patient-facing systems, • Familiarity with cloud infrastructure (GCP, AWS, or Azure), • Exposure to evaluation and safety tooling for LLM-based systems (guardrails, human-in-the-loop review) About the Venture We are an early-stage health AI company revolutionizing cardiometabolic care and economics. Our unique position within the PHP ecosystem provides: • Venture Track Record: A proven track record of success in incubating innovative biotech and healthcare companies, • Deep Capital: Funding runway and resourcing to support deep technological/scientific R&D and to drive growth, • Strategic Guidance: Direct access to industry pioneers (including founders of The Medicines Company and Metsera), strategists (McKinsey/QuantumBlack alumni), and world-class scientific talent (e.g., scientific leaders at Oxford University Ellison Institute of Technology), • Expert Network: Established connections across pharma, payers, and providers, • Startup Agility: Ownership in the venture, founder mentality, and ground-floor impact PHP Population Health Partners (PHP) is a premier investment firm established in 2020, aimed at transforming health outcomes for large populations. With offices in New York and London, PHP combines financial resources with industry-leading capabilities and technology. The firm's incubation portfolio includes Metsera (NASDAQ: MTSR), Areteia Therapeutics, and Corsera Health. Leadership: Led by industry veterans including Clive Meanwell (The Medicines Company), Chris Cox (The Medicines Company), and Whit Bernard (Metsera), bringing decades of founder experience and operational excellence in biopharma and healthcare.

Senior Data Engineer London | Hybrid | AI-Native Consulting Environment £80,000-£90,000 + package Our client is a fast-growing, AI-native, engineering-led consultancy building advanced semantic, ontology-driven and agentic AI systems. As they deepen their data engineering capability, they are seeking a senior-level Data Engineer to design and operate high-fidelity, ontology-aligned data foundations that power knowledge graphs, reasoning systems, retrieval layers and AI products. This is a strategic engineering role for someone who sees data not simply as pipelines and tables, but as structured, semantically coherent knowledge that underpins intelligent systems. The Purpose of the Role You will build production-grade data pipelines explicitly aligned to ontologies and semantic models. Your work will ensure that entity definitions, relationships, taxonomies and domain constraints are faithfully represented in data flows, making them reasoning-ready and AI-consumable. Working within a senior, cross-functional delivery model (consulting, ontology and engineering), you will play a foundational role in building robust semantic layers and enabling high-value AI systems for clients. Key Responsibilities Data Pipeline Engineering (Semantic & Ontology-Aligned) • Design, build and maintain ETL/ELT pipelines aligned to ontology and knowledge graph structures, • Implement transformations that respect entity models, relationships, taxonomies and domain constraints, • Apply semantic enrichment patterns including mapping, harmonisation, linking and feature extraction, • Deliver high-quality, structured data to downstream AI systems, agents, retrieval layers and decision engines Ontology & Knowledge Graph Collaboration • Translate conceptual ontologies into implementable schemas and data flows, • Partner with ontology architects on entity modelling, semantic definitions, metadata and lineage, • Deploy pipelines into ontology-aware platforms (e.g. graph databases, semantic layers, Foundry-style systems), • Ensure semantic compliance, data integrity and reasoning-readiness Data Quality, Observability & Lineage • Implement robust data quality frameworks (validation, profiling, anomaly detection), • Build observability into pipelines (lineage tracking, logging, freshness monitoring, schema drift detection), • Ensure alignment with governance, security and industry standards AI Enablement & Data Serving • Build high-quality datasets for retrieval pipelines (RAG), embeddings and conversational agents, • Create data foundations supporting decision engines, reinforcement learning and value measurement, • Partner with AI engineers to operationalise pipelines for LLM workflows and agentic systems Standards, Documentation & Reusability • Produce clear documentation for data models, schemas, ontologies and lineage, • Codify semantic ETL patterns and reusable modelling templates, • Contribute to internal accelerators, engineering standards and playbooks Experience & Technical Requirements We are looking for strong data engineering fundamentals combined with demonstrable semantic and ontology experience: • 5–8 years’ experience in data engineering, data platform development or data-intensive systems, • Strong SQL and Python for scalable data transformations and services, • Experience with at least one major cloud platform (AWS, Azure or GCP), • Hands-on experience with semantic or ontology-driven data models, including:, • Graph databases (e.g. Neptune, Neo4j, Blazegraph, Stardog, TigerGraph, Foundry, Timbr), • RDF/OWL modelling, SHACL validation or ontology tooling, • Semantic ETL and ontology mapping pipelines, • Knowledge graph construction, enrichment and query patterns, • Experience operationalising pipelines for AI systems, LLM workflows or retrieval ecosystems, • Familiarity with modern data tooling and platform engineering practices, • Comfortable working in iterative consulting delivery environments with evolving requirements Behavioural Attributes • High agency – independently drives complex workstreams end-to-end, • Structured thinker – brings clarity and rigour to ambiguous, messy data domains, • Collaborative – works effectively with ontology architects, AI engineers and consultants, • Quality-driven – prioritises correctness, observability, maintainability and semantic integrity, • Clear communicator – able to explain semantic concepts and data reasoning to non-technical stakeholders, • Low ego, high ownership – focused on outcomes and value creation What Success Looks Like • You deliver clean, trustworthy, semantically aligned data ready for ontologies and AI layers, • Ontology architects rely on your pipelines for entity consistency and semantic accuracy, • AI engineers build faster because your data structures and retrieval layers are reliable and predictable, • Your semantic ETL patterns and modelling templates are reused across engagements, • Clients trust your clarity, rigour and dependability in data work underpinning high-value AI systems, • Your work becomes foundational to the firm’s semantic and agentic engineering capability Why Join • Senior-heavy, engineering-led culture with deep focus on ontologies, knowledge graphs and AI systems, • Early-stage growth environment backed by significant investment and strong market traction, • High autonomy, low bureaucracy and meaningful system-building responsibility, • Opportunity to shape internal standards, accelerators and AI-native products, • Clear commitment to responsible AI and widening access to advanced technologies, • Flexible working model with a modern Central London presence, • Comprehensive health, wellbeing and pension benefits This is an opportunity to help define how semantic data engineering enables next-generation AI systems, within a firm where clarity, technical depth and real-world outcomes matter. If you are an experienced Data Engineer ready to work at the intersection of ontologies, knowledge graphs and AI, we would welcome a confidential conversation.

We are a small London startup with the ambition to change education with ML-powered tutoring. Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone. What was once technologically impossible is now within our grasp. We’re looking for a Senior Full Stack Developer to join our growing development team. What you will do 🚀 • Design and implement a new high-scale system for millions of users., • Build convenient CI/CD processes and testing pipelines to support quick iterative development and system stability., • Work on ML model development with our team to build robust data pipelines and deploy ML models., • Analyse large corpora of data and build real-time recommendation systems., • Work with large amounts of data in different modalities (text, video, images, audio), • Work in a very cross-functional team, side by side with mobile developers, product managers, ML engineers, and designers. Essential skills 🙏 • Build high-load applications from scratch., • Deep knowledge of AWS., • Architecture planning and estimation skills (time, users, traffic, money, algorithmic complexity, cache, etc.)., • Architecture scalability and simplicity., • Research skills (new APIs, libraries, services, and their estimations)., • CI/CD automation pipelines., • Proficiency with Terraform and Docker., • SOLID, KISS principles, decomposition principles, and resolving monolith vs. microservices trade-offs., • Experience with SQL and NoSQL databases., • Best practices in building scalable mobile APIs (REST, HTTPS, etc.)., • Good principles of security management (secrets, protocols, etc.)., • Experience with some Python web frameworks (Django, Flask, FastAPI, etc.). Desirable Skills 👌 • Can speak, or learning to speak, more than one language, • Experience with real-time databases., • Experience with in-memory databases., • Experience with frontend frameworks., • Experience in developing educational products., • Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.)., • Experience (even non-production) with different types of programming languages: interpreted, compiled, with garbage collection, manual memory management, reference counting memory management, etc. What we can offer ✨ • A real-deal startup adventure: you'll be hopping on a major project while it's still in the works!, • A crew all about people and products., • Work from our London office., • Freedom to suggest, implement, and test ideas., • Unlimited learning & development budget., • We also offer substantial relocation assistance to support your move, if required. Interview Process 🧪 • Intro call, • 3 technical interviews, which will all cover, • Problem Solving, • Architecture Design and Product Design, • Domain/Platform Knowledge After all interviews, we would like to invite you to work with us in our London office for 1-2 paid test days. If everything goes well, we will make an offer to the successful candidate.

About Us Every business needs to know who they’re really working with whether it’s suppliers, investors, partners, or third parties. At Xapien, we’re reinventing how organisations do that, combining speed, scale and accuracy with cutting-edge AI. Since 2018, we’ve grown from a deep-tech startup to a global player in AI-driven due diligence and risk intelligence. 2024 was a landmark year as we closed a $10M Series A, earned recognition in the Chartis RiskTech100® and Everest Group’s Leading 50™, and expanded our products, markets and customer base. 2025 was even bigger: With new regulations, rising compliance pressure and growing reputation risks, organisations everywhere are demanding smarter, faster ways to work and they’re turning to us. Customers worldwide from global law firms and private banks to universities and nonprofits rely on Xapien to turn days of manual research into trusted insights, delivered in minutes. Our momentum so far Customers in a diverse range of industries, with particular growth in wealth management, financial services and supply chain onboarding. Demand accelerating beyond our UK headquarters, across multiple continents with new customers in the Middle East, Asia, and Oceania. Why this is an exciting time to join This isn’t just another tech role; it’s an opportunity to shape the future of the due diligence industry with a market-leading product trusted by global organisations. Whether you’re in marketing, communications, sales, or finance, you’ll play a critical role in driving growth, building credibility, and defining how we connect our product to a rapidly evolving market. We’re scaling fast with more customers, more releases, and bigger regulatory and market challenges. Expectations are rising, due diligence now means real-time insight, delivered efficiently and with impact. You won’t just be executing campaigns, closing deals, or managing numbers, you’ll be influencing strategy, optimising processes, and helping position a brand that’s setting the new standard for trust and transparency. For people who love learning, innovating, and making an impact that matters now is the moment to be a part of Xapien. The Role We're hiring Senior Backend Engineers to join our engineering team. You'll work on challenging problems across our platform, from building sophisticated data processing pipelines and LLM-powered features to creating core application functionality that serves our users directly. Our tech stack center’s on Go microservices, with Temporal workflows, MongoDB and ElasticSearch running on Kubernetes in GCP. You'll work with modern patterns including event-driven architectures, gRPC and REST APIs, and comprehensive observability with GrafanaCloud. Depending on the team, you might focus on our Investigations domain (web scraping, data provider integrations, LLM-powered analysis) or our Core App (user journeys, features, and configuration). Both are critical to our platform and offer unique technical challenges. What You'll Do • Design and build backend services and APIs that power our platform, • Write clean, well-tested Go code following established patterns and best practices, • Collaborate with frontend engineers, product managers, and designers to deliver features, • Participate in code reviews and help maintain high engineering standards, • Debug production issues and contribute to system reliability, • Contribute to technical discussions and design decisions within your team, • Mentor junior engineers and share knowledge with the team, • Build new systems and features that directly impact our customers What We're Looking For Essential • 5+ years of professional software engineering experience, • Strong proficiency in Go, with deep understanding of concurrency, error handling, and idiomatic patterns, • Experience building RESTful or gRPC APIs, • Solid understanding of databases, with MongoDB experience highly valued, • Experience with micro-services architecture and distributed systems, • Familiarity with containerisation (Docker) and orchestration (Kubernetes), • Strong testing practices and commitment to code quality, • Excellent communication and collaboration skills, • Self-driven with ability to work independently and as part of a team Highly Desirable • Experience with Temporal or similar workflow orchestration systems, • Knowledge of event streaming platforms like Kafka, • Experience with LLMs and AI integration (particularly for Investigations team), • Background in SaaS platforms or B2B products, • Experience in fintech, compliance, or regulated industries, • Familiarity with observability tools (Grafana, Prometheus, etc.), • Understanding of authorisation patterns and security best practices Our Tech Stack • Languages: Go, • Databases: MongoDB, • Messaging & Orchestration: Temporal, Kafka, • APIs: REST, gRPC, protobuf, • Infrastructure: Kubernetes, GCP, • Observability: Grafana stack, • AI: LLMs (OpenAI, Gemini), RAG systems What Success Looks Like In your first 6 months, you will have • Independently delivered features and improvements with minimal guidance, • Contributed meaningfully to code reviews and technical discussions, • Built strong working relationships with your team and cross-functional partners, • Demonstrated understanding of our systems and made impactful contributions, • Helped improve at least one aspect of our platform or processes Here’s our promise to you • We are going to work with you - to build a rewarding and fulfilling career with the opportunities, challenges and resources you need to do you your best work., • We succeed together- you will own a meaningful part of the business through our employee shares & equity programme., • Private health insurance to keep you in tip-top condition., • Life Insurance – let's hope nobody ever needs this!, • Unlimited holidays – yes, it really is uncapped – take the time you need, when you need it., • Everyone is learning, developing and challenging themselves so we have a £1k professional development fund per year if you want to learn new skills, even new things outside of work., • Most importantly of all, we will work with you, to help you realise your fullest potential, always.

About BeyondMath BeyondMath is a pioneering startup, backed by top-tier VCs, on a mission to reshape the frontiers of engineering through Foundational AI models for Physics. We are replacing traditional, slow and expensive simulation methods with AI that rivals accuracy at orders of magnitude higher speed. We are moving beyond the "generic AI" hype to solve the world’s hardest physical engineering challenges in automotive, aerospace, and energy. We are looking for a Senior AI Researcher who balances scientific curiosity with the engineering discipline required to see models thrive in production environments. The Role As a Senior AI Researcher, you will be a core architect of our technical roadmap. This is not a "siloed" research role; you will lead the transition from theoretical breakthroughs in Physics-based Deep Learning to robust, scalable systems used by world-class engineers. You will have the creative freedom to set research agendas while ensuring our models remain grounded in physical reality and industrial-scale performance. Key Responsibilities • Architect Physics-AI Foundations: Lead the research and development of novel ML architectures (e.g., Transformers, GNNs, or Diffusion models) designed specifically to solve complex partial differential equations (PDEs) including aerodynamic simulations., • Bridge Research & Production: Translate high-level mathematical concepts into clean, high-performance code. You won’t just "throw models over the wall"; you will ensure they are optimized for inference and integrated into our production design platform., • Advance Geometry Representation: Pioneer new ways to represent complex geometric design variations for efficient use in deep learning models., • Strategic Leadership: Mentor junior researchers and engineers. Help define our internal research standards, reproducibility pipelines, and high-performance compute (HPC) infrastructure requirements., • External Impact: Represent BeyondMath in the global AI community. Publish influential research at top-tier conferences (NeurIPS, ICML, ICLR) and position the company as the leader in "AI for Physics.", • Cross-Functional Collaboration: Partner with CFD specialists and software engineers to ensure our models respect physical constraints while maintaining the speed advantages of neural networks. About You You are a rare hybrid: a scientist who loves the elegance of a theorem, but an engineer who gets a thrill from seeing a model successfully optimize a real-world turbine or airframe. You thrive in the ambiguity of a "greenfield" opportunity and have the grit to solve problems where no textbook solution exists. Essential Requirements: • PhD or MSc in Computer Science, Physics, Mathematics, or a related quantitative field., • 5+ years of post-grad experience in AI/ML research, with a demonstrable track record of models made it from the lab into production environments., • Deep Technical Mastery: Expert-level proficiency in PyTorch, JAX, or TensorFlow, with a focus on building custom layers, loss functions, and optimization loops., • Published Excellence: A strong record of high-quality publications in top-tier venues (e.g., NeurIPS, ICML, CVPR, or physics-specific AI journals)., • Systems Thinking: Experience with scalable training infrastructure, including distributed training across GPU clusters and data pipeline automation. Highly Desirable: • Physics-ML Expertise: Experience with Physics-Informed Neural Networks (PINNs), Operator Learning (DeepONet/FNO), or Equivariant Neural Networks., • Domain Knowledge: Familiarity with Aerodynamics, Fluid Dynamics, or Structural Mechanics., • Engineering Rigor: Familiarity with C++, CUDA for low-level model optimization. Why Join Us? • Full Ownership: You will have a direct seat at the table in shaping the future of a company redefining an entire industry., • High Impact: Your work will directly accelerate the transition to sustainable energy and more efficient transport., • Elite Team: Work alongside veterans from world-leading AI labs and engineering firms in a culture of "impact with integrity."

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 RippleX is dedicated to empowering the builders of tomorrow on the XRP Ledger (XRPL), one of the world’s fastest and most reliable public blockchains. We believe in democratizing the digital economy by providing practical support, empowering a community of developers, and offering the expertise of a visionary technology company. The XRPL is a decentralized, public blockchain led by a global community of businesses and developers looking to solve problems and create value. Proven reliable over more than a decade of operation and closing over 90 million ledger, the XRPL offers streamlined development, low transaction costs, high performance, and sustainability. We are looking for senior engineering talent to help us maintain this high technical bar, while building innovative solutions to ensure the XRPL can power the growing needs of the global digital economy. WHAT YOU'LL DO • Increase the capabilities, performance, scalability, and reliability of the XRP ledger., • Participate in the full software development lifecycle, including architecture, technical design, C++ development, bug fixing, as well as functional and performance validations., • Be part of the open-source XRP ledger community, setting high standards for coding, testing, and deployment., • Actively participate in code reviews to maintain the high quality of our codebase.WHAT YOU'LL BRING, • Bachelor’s in computer science or similar, and 5+ years of recent hands-on software product development experience using C++., • Experience in backend distributed systems development., • Passion for blockchain technology and its potential benefits., • Ability to learn new technologies and languages quickly., • Ability to independently solve highly complex problems with creative solutions. 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.

Senior Data Engineer | Azure & Snowflake | Enterprise Data Platform in Alternative Asset Management Salary: £100,000 Location: Central London, 3 to 4 days onsite You will be joining a global technology consultancy to help design and deliver long-term, enterprise-grade data platforms that enable data-driven decision-making across complex, multi-line organizations. This is a high-impact role within a growing data engineering practice, focused on building modern cloud-based solutions that power analytics, reporting, and business intelligence at scale for enterprise clients. The Role You will design, build, and optimise a scalable, cloud-native data platform that acts as the foundation for business-critical insight. You will work closely with stakeholders across the business, translating requirements into robust, production-grade data solutions. This is a hands-on engineering role where you will take ownership of pipelines, models, and performance. In this role, you will: • Design, build, and maintain scalable data pipelines in Azure and Snowflake, • Develop and optimise ETL and ELT processes for batch and micro-batch workloads, • Build and enhance enterprise data warehouse models, • Write and optimise complex SQL queries for analytics and reporting, • Ensure data quality, reconciliation, and consistency across multiple sources, • Partner with BI teams to support dashboards and reporting tools, • Contribute to platform architecture decisions, • Continuously improve reliability, scalability, and performance You will be expected to work from the Central London office three to four days per week to enable close collaboration with technical and business stakeholders. Requirements & Technical Environment • 7+ years software engineering experience, including 5+ years with data-intensive systems, • 2+ years hands-on experience with cloud data platforms (Azure preferred), • Strong expertise in Azure Data Factory, Azure SQL, Azure Storage, Azure Functions, and Snowflake (1+ year), • Advanced SQL skills, including complex ETL and dimensional/data modeling, • Experience building batch and micro-batch data pipelines, • Deep understanding of enterprise data warehouse architecture and methodologies, • Experience working with large-scale enterprise datasets, • Strong analytical mindset with a focus on data quality Nice to Haves • Snowflake performance tuning and cost optimisation, • Python, • Databricks, • End-to-end data platform architecture, • Enterprise BI platforms, • CI/CD pipelines, • Infrastructure-as-Code Employee Benefits • £100,000 base salary + bonus, • Pension, life assurance, private healthcare and wellness allowance, • 25 days holiday plus bank holidays, • Funded certifications and learning platforms, • Corporate equipment provided, • Hybrid working, • Visa sponsorship and relocation support Senior Data Engineer | Azure & Snowflake | Enterprise Data Platform in Alternative Asset Management

Do you want to work on some of the most advanced technology in the world? Our client operates one of the most powerful private HPC clusters globally, with 10s of thousands of GPUs (including 1000s of A100s), 100s of petabytes of storage, and almost 10 petabytes of RAM. This cutting-edge infrastructure supports state-of-the-art Deep Learning models that process trillions of data points, driving trading algorithms that handle $300 billion across 80+ exchanges daily. They are one of the youngest, yet most innovative and successful algo trading firms on the planet. All with under 200 people. Their mission? To harness this world-class technology and the expertise of exceptional people like you to make financial markets more efficient and fairer for everyone. Technology is their heartbeat, but they don’t rely on off-the-shelf solutions—they build their own to ensure unparalleled scale, reliability, and resilience. This is where you come in… They are looking for an exceptional C++ Engineer to join their most critical engineering group across the whole firm. This elite team of engineers is responsible for developing all of their on-exchange proprietary trading technology—the single biggest driver of the firm’s revenue. As part of this team, you’ll be among the highest-paid engineers in the company, working on super low-level, close-to-the-metal projects that turn cutting-edge research ideas into reality. What can they offer you? • Build the unimaginable: Explore and work on a wide scope of projects that push the boundaries of technology. From creating an exabyte-scale distributed filesystem to custom compilers for massively parallel computation, your work will be challenging and complex. At every turn, it will contribute to the core trading stack and have a direct impact on the success of the firm., • Work with the Best: Collaborate with some of the most talented engineers, researchers, and quants in the world. You’ll be surrounded by colleagues who are at the top of their fields, pushing the boundaries of technology and finance every day., • Innovation & Impact: Work in a modern, young codebase with minimal legacy code and technical debt. You’ll have the freedom to choose the best technology for the job, allowing you to innovate and deliver at an unmatched scale. They also have a pretty epic office, amazing perks, a great culture and pay very well! What are they looking for? You’re the kind of engineer who knows what’s going on under the hood and thrives on working at the lowest levels of software engineering—borderline hardware. Your expertise includes some blend of modern C/C++ with the following: • Operating systems (Linux Kernels), • CPU architecture, • GPU programming, • Assembly Language, • Hardware knowledge (ASICs/FPGAs) Hit apply or drop me a note to find out more 😊

Hive Science is a tech start-up whose technologies are in use by many of the world’s largest brands including Land Rover, Edward Jones & Kroger. The Hive platform is delivering novel intelligence at the intersection of quantitative social psychology, behavioral science & AI/ML to accelerate & transform how work is done. We’re looking for our go-to infrastructure partner to join our team and get on board this rocket ship with us. About the role: This is an exciting opportunity to be part of a psychological science-based tech startup. This role sits within our product team and will be responsible for building, maintaining, and scaling the infrastructure that powers Hive’s next generation of products. This Senior DevOps Engineer will roll up their sleeves and help us continually evolve the foundation of our platform, enabling faster delivery speed and greater scale, as well as supporting new generative AI and machine learning technologies. We’re looking for someone who can bring strong infrastructure and automation expertise, and who can work closely with engineering and data science teams to support rapid product development & launch. Important Details · Location: Hybrid (3 days/week in office). Candidates must currently reside within commuting distance of London, UK. · Employment Type: Full-time · Work Authorization: Candidates must have existing right to work in the UK. Visa sponsorship is not available for this role. · To Apply: Submit your CV to What You’ll Be Doing: As a Senior DevOps Engineer (Product), you’ll be responsible for the reliability, scalability, and security of our entire infrastructure stack; from CI/CD pipelines to production deployments, from infrastructure orchestration to security governance. You’ll be part of a high-powered team located in London. You will build robust systems, move quickly, but be ready to scale and ensure production-grade reliability as our product grows. You will constantly need to be at the cutting edge as we deploy and scale the latest AI capabilities within our core platform. We can’t define everything you will be doing because some of it is unknown based on the disruptive world we live in and you need to be the kind of person ready to pivot at speed and stay at the bleeding edge of this new world. Key areas of responsibility include: Infrastructure & Cloud Engineering: • Design, provision, and manage scalable cloud infrastructure using Infrastructure-as-Code (Terraform, CloudFormation) across AWS (must have deep experience), GCP, or Azure., • Architect and maintain highly available, fault-tolerant systems that support our AI/ML workloads, web applications, and data pipelines., • Manage containerization and orchestration platforms (Docker, Kubernetes, ECS) to support microservices and ML model deployments. CI/CD & Automation: • Build and maintain robust CI/CD pipelines (GitHub Actions, CircleCI, Jenkins) to automate testing, builds, and deployments across dev/staging/production environments., • Implement MLOps workflows to streamline model deployment, versioning, and monitoring for our AI/ML products., • Automate infrastructure provisioning (Terraform), configuration management, and deployment processes using scripting (Bash, Python) and automation tools. Monitoring, Observability & Reliability: • Implement comprehensive monitoring, logging, and alerting systems (Prometheus, Grafana, CloudWatch, Datadog, Sentry) to ensure system reliability and rapid incident response., • Establish SLOs/SLIs and implement observability best practices to maintain high availability and performance., • Lead incident response, root cause analysis, and implement preventive measures to improve system resilience. Security & Governance: • Implement and maintain security best practices including network security, firewalls, role-based access control (IAM), encryption at rest and in transit, and secrets management (AWS Secrets Manager, HashiCorp Vault)., • Develop and enforce governance frameworks for working with LLM APIs and AI services, including data protection, PII safeguards, and compliance requirements., • Conduct security audits, vulnerability assessments, and implement remediation strategies to maintain a secure infrastructure. Collaboration & Technical Support: • Work closely with full-stack engineers and data scientists to support application deployments, optimize performance, and troubleshoot infrastructure issues., • Support ETL/ELT workflows and data pipeline infrastructure for training and inference workloads across databases (SQL, NoSQL, Vector DBs, Graph DBs)., • Provide technical guidance and mentorship on DevOps best practices, infrastructure design, and deployment strategies. Required Skills & Experience: • Strong experience provisioning and managing secure cloud infrastructure (AWS preferred, also GCP or Azure), • Expertise with Infrastructure-as-Code tools (Terraform, CloudFormation, Pulumi), • Strong experience with containerization and orchestration (Docker, Kubernetes, ECS, Fargate), • Proven track record building and maintaining CI/CD pipelines (GitHub Actions, CircleCI, Jenkins, GitLab CI), • Experience with MLOps and supporting ML model deployment workflows (AWS Sagemaker, Lambda, containerized deployments), • Proficiency in scripting and automation (Python, Bash, Go), • Strong experience with monitoring and observability tools (CloudWatch, Prometheus, Grafana, Datadog, Sentry, New Relic), • Experience with database administration and optimization across SQL, NoSQL, vector databases (Pinecone, FAISS), and graph databases (Neo4j), • Knowledge of networking, security best practices, IAM configuration, and secrets management, • Experience supporting data pipelines, ETL workflows, and cloud data platforms (Databricks, Snowflake), • Strong experience with the set up / design / governance and security of Clean Rooms and clean room integrations, • Previous experience in early-stage product teams or high-growth startups, • Ability to balance rapid prototyping with building scalable, production-grade infrastructure, • Strong problem-solving skills and ability to work independently in a fast-paced environment Overall Work Experience & Additional Details: You may have come from a platform engineering team at a tech company or from a startup where you wore every hat. You are fluent in both infrastructure theory and hands-on implementation, and you get a thrill out of building reliable, scalable systems that enable rapid product innovation and support cutting-edge AI/ML workloads. As a fast-paced startup, each day is different from the one before. We’re nimble and creative, and value intellectual humility. We work really hard because we’re all 100% dedicated to the future we’re building. Our work is stimulating, challenging, and exciting. And our team is awesome. At Hive we only hire exceptional people, so you’ll be in good company; surrounded by passionate, insanely smart people who want to build the future of customer intelligence. Specifically, we’re looking for someone who will thrive in this type of environment: • Fast-paced startup with competing demands and multiple priorities ongoing, • Own critical infrastructure decisions that directly shape the products we build, • A ‘solve the problem’ mentality, • Scrappy and creative, • Strong passion for the Hive Science mission and a love of the scientific method

Department Tech Employment Type Full-time, London Office Attendance Expectation Hybrid About the role At &Dine, we’re building a community of food lovers, connecting exceptional independent makers with teams who want better food at work. We’re looking for a Senior Software Engineer who cares about quality, performance, and product impact - someone who enjoys solving real-world problems at scale and shaping how a platform grows, not just writing code. You’ll work across front-end, back-end, and infrastructure, partnering closely with product, operations, and design to deliver reliable, elegant solutions across ordering, payments, logistics, and internal tools. What you'll be doing • Lead development across key product areas from concept to production, • Build high-quality front-end features using a modern JS stack (Vue/Nuxt or similar), • Design and maintain scalable APIs and services in Node.js with SQL/Sequelize, • Mentor junior engineers through code reviews, pairing, and technical guidance, • Help shape our technical roadmap and introduce new tools, frameworks, and practices where they make sense, • Own technical decisions around architecture, performance, and reliability, • Collaborate with product and operations to translate business needs into robust solutions, • Improve system observability, monitoring, and incident response, • Identify technical debt and proactively drive refactors, • Support CI/CD, deployment pipelines, and environment management What we're looking for • Strong experience as a Senior Software Engineer or equivalent, • Proven ability to guide and support junior developers, • Deep knowledge of modern front-end frameworks (Vue, React, or similar), • Solid back-end experience with Node.js and relational databases (Postgres/MySQL) using ORMs such as Sequelize, • Confidence in evaluating and adopting new technologies pragmatically, • A product-led mindset: you care about outcomes, not just implementations, • Comfortable in a fast-moving startup environment, • Clear communicator across technical and non-technical teams, • A genuine interest in food, hospitality, or building better workplace experiences Front-end Experience with some of the following, or a strong willingness to learn: • JavaScript / TypeScript – modern ES standards, async patterns, clean architecture, • Frameworks – Vue / Nuxt (or React / Next.js), component-based development, • State management – Vuex, Pinia, or equivalent patterns, • API integration – REST/JSON, error handling, loading states, • Performance – bundle optimisation, code splitting, rendering strategies, • Accessibility & UX – semantic HTML, responsive design, usability best practice, • Testing – unit and component testing (Jest, Vitest, Testing Library, Cypress/Playwright), • Version control – Git workflows, PR reviews, and collaboration Back-end Experience with some of the following, or a strong willingness to learn: • Node.js – building scalable, maintainable services, • APIs – RESTful design (GraphQL a plus), authentication, validation, rate limiting, • Databases – PostgreSQL / MySQL, schema design, indexing, query optimisation, • ORMs – Sequelize or similar (migrations, associations, transactions), • Business logic – handling payments, scheduling, pricing, permissions, and workflows, • Testing – unit, integration, and API testing, • Security – data protection, authentication, role-based access, and best practices DevOps/Infrastructure Experience with some of the following, or a strong willingness to learn: • CI/CD – GitHub Actions, GitLab CI, or similar automated pipelines, • Cloud platforms – AWS, GCP, or Azure, • Containerisation – Docker and environment configuration, • Deployments – staging/production environments, rollback strategies, • Monitoring & logging – error tracking, performance monitoring, alerting, • Reliability – uptime, backups, and incident response Engineering Practices • Writing clean, maintainable, well-documented code, • Code reviews and constructive technical feedback, • Coaching juniors and helping them level up technically, • Evaluating new technologies and introducing them where they deliver clear value, • Designing systems with scalability, performance, and security in mind, • Pragmatic decision-making in a startup environment Bonus points if you • Have led or owned major product areas or technical initiatives, • Have introduced new tools, frameworks, or processes that improved delivery or quality, • Have experience with Nuxt, server-side rendering, or marketplace platforms, • Have any of the certificates LPIC-1, LPIC-2 or AWS associate, professional or specialist, • Have experience being Security Champion and knowing STRIDE, PASTA and Hybrid, • Have worked on B2B, payments, logistics, or operationally complex systems, • Care deeply about food, hospitality, and how shared meals bring people together Benefits of working at &Dine • Join our options pool and be a business owner!, • £250 learning and development budget. Here we’ve got some courses that may be beneficial to your development at &Dine., • Charlie HR. Secure great offers too from top retailers such as John Lewis and Samsung via our HR Platform., • Enjoy your birthday. Take a day off for your birthday - on us!, • £500 referral bonuses. If you bring in a new face to the business, once they have passed their probation period, you will receive £500!, • Team socials. We’re big foodies, so you’ll be sure to enjoy some food and drink with us, as well as some great activities!, • Work abroad for 1 week

Client Manager London - 3 days a week in office Salary up to - £55,000 This is an exciting opportunity to join a high‑performing insights team where you will shape brand strategy for some of the world’s best‑known consumer names. If you are passionate about brands, love digging into data, and enjoy being at the heart of client decision making, this role offers exceptional variety, ownership and career progression. The Company They are a global leader in insights and analytics, renowned for helping organisations understand how people think, feel and behave. Their brand and communications team is the largest and highest‑performing within the business, working across more than 100 brands and every major sector. They operate in a highly collaborative environment where learning, coaching and development are central to their culture. They partner closely with client insight, brand and marketing teams to drive meaningful commercial impact. The Role • Balance your time between client conversations, diagnosing brand challenges and presenting clear, actionable insights., • Lead discussions on questionnaires, research outputs and how clients should apply findings within their business., • Coach and collaborate with internal teams including Senior Executives, Client Executives, processing teams and charting teams., • Manage one to two direct reports where appropriate, although people management is flexible., • Work on 3 to 4 accounts, developing strong client relationships and helping brand, marketing, media and customer experience teams connect insights to outcomes., • Analyse survey data, media spend, social and search data to uncover trends and shape recommendations., • Build compelling storylines using Excel, SPSS or similar tools and present these clearly in PowerPoint., • Contribute to brand tracking, brand equity, segmentation and broader strategic insight projects. Your Skills and Experience • Strong commercial experience in quantitative insights, ideally with deep exposure to brand strategy, brand tracking or brand health work., • Ability to interpret complex datasets and turn them into clear stories that influence decision making., • Confident using Excel and comfortable with data mining tools such as SPSS or similar., • Experience writing or shaping questionnaires., • Skilled communicator who can present to insight teams and wider marketing stakeholders., • Curiosity about marketing, brand management and consumer behaviour., • Confident operating in a client‑facing role with the ability to manage multiple accounts. HOW TO APPLY: Apply by sending your CV to Joe by the link below.

Principal Consultant – Endur Functional Ireland, UK, Europe, or Remote Permanent/Contract Why capSpire? capSpire is a fast-growing consulting and solutions company with a global footprint with eight offices in the world’s leading markets. We pride ourselves in being truly entrepreneurial, innovative, and collaborative, with a strong problem solving ethos. We have built working relationships which span decades with many of the world’s largest energy and commodity companies. We believe that this is because we put our people first and are passionate about providing our clients with deep technical and industry insights that deliver pragmatic solutions. As we continue to grow domestically and internationally, we become more diverse. This rich diversity fuels our business and enriches our culture. About the role We are expanding our Endur practice and are looking for experienced Principal Endur Consultants proficient in Commodity or Energy markets and trading and risk management. You will be leading Endur implementations, leveraging your expertise in deal modelling, deal valuations, risk management, scheduling, invoicing, and accounting for commodities and energy. You will ensure successful project delivery, employing consultancy and project management best practices. In addition, you will play a pivotal role in nurturing capSpire's Endur practice growth. Key Responsibilities: • Provide strategic advisory services to clients on the implementation of Endur Gas, Power, Renewables, LNG, Agriculture or Crude and Refined Products upgrades or implementations., • Serve as the subject matter expert for Endur for all functional aspects for both physical products & derivatives., • Collaborate with clients and prospects to determine business requirements and processes to be addressed by key areas of the Endur solution, with the ability to identify improvement potential and drive change management., • Lead implementation work, encompassing design, configuration, functional testing, and support transition to operations of Endur solution., • Demonstrate deep knowledge in key modules of Endur and in commodity/energy operations, financial products, risk management, and accounting., • Document business requirements, implementation designs, test plans/results, and other deliverables required by the project., • Follow implementation best practices, documentation standards, and resolution process flow for all project deliverables., • Collaborate with technical teams to create customisations based on specific client needs, • Provide industry and functional advisory as needed., • Apply appropriate resourcing techniques given project-specific needs, risks, and differences in core project team member skill levels and relevant modules to be delivered in client projects., • Maintain highly effective communication with client and internal stakeholders and adept in handling business changes and managing stakeholder expectations., • Provide guidance and training on Endur functionality and general ETRM/CTRM topics., • Support the development and growth of junior consultants. Skills • Endur Modules: Deep knowledge in key modules of Endur and commodity/energy operations with working knowledge of V19 and above., • Endur Risk Management: Knowledge of Endur risk and valuation functionality including results (MTM, PnL, VAR), and EOD automation (TPM and Services Manager)., • Endur Customisation: Deep knowledge of standard and customisation approaches for implementation of requirements, support for reporting, building complex desktops, APM pages, and pre/post-processing logic., • Endur Architecture: Understanding of Endur architecture and best implementation practices to optimize its strengths for the client solution., • Functional Knowledge: Strong functional knowledge and understanding of Gas, Power, Renewables, LNG or Crude and Refined Products., • Excellent interpersonal skills and stakeholder management., • Good written and verbalcommunication skills., • Multi-tasking and Project Management skills., • Strong organisational & analytical skills and attention to detail., • Ability to thrive in a fast-paced, detailed oriented environment and work independently or in a team. Required Experience • Bachelor's degree in finance, Accounting, Engineering, Economics, or equivalent experience in a related field, • 12+ years hands-on with Endur as a lead / principal consultant or team lead / project manager with working knowledge of V19 and above., • At least 15+ years of industry work experience with 7+ years of experience in comparable consulting services., • Should have been a key part of at least three large engagements for Endur end-to-end implementation or upgrade projects in Gas, Power, Renewables, LNG, Agriculture or Crude and Refined Products., • Deep understanding of various functional areas and relevant modules of Endur., • Experience in conducting comprehensive testing and quality assurance activities to validate the functionality, performance, and reliability of Endur solutions., • Worked as part of a cross-cultural/geographical team including flexibility to support multiple time zones when necessary., • Worked as part of a project team structure and delivered results with limited guidance., • Ability to travel to onsite client locations for a limited time as per project requirements. Preferred Experience • Subject matter expert or functional consultant in Commodity Trading, Risk or Logistics business areas in large enterprise environments., • Worked in Front, Middle or Back Office functions with specialty in any of the following: Trading (Paper, Physical), Risk (Market, Credit, Operational, Compliance, etc.), Logistics (Pipeline, Vessel, Nomination through Demurrage, etc.) or Settlements (AR/AP Process, Invoice Management, etc.)., • Experience with Endur gMotion or cMotion modules would be advantageous. What to expect as a capSpire consultant As part of a capSpire team, you’ll experience the full project life-cycle and be part of a dynamic team in which diversity, camaraderie and professional excellence are celebrated. We like to have fun as a team, encourage knowledge-sharing and continuous learning and take pride in delivering the best possible outcomes for our clients. In addition we offer: • Competitive Salary Package, • Training and Development to help propel your career, • Generous Holiday Allowance, • Reward and Recognition Program If you think you have the necessary skills and experience to excel as a capSpire Consultant we are keen to speak with you.

Product Manager – AI Experience (Mid-Level) Location: London Type: Contract / Consulting Experience Level: Mid-level Role Overview We are looking for a mid-level Product Manager with AI experience to join our consulting team. You will play a key role in defining and delivering AI-enabled products, working closely with business stakeholders, data teams, and delivery functions. This role requires strong non-technical stakeholder management, an ability to translate business needs into clear roadmaps, and experience working on AI-related features or products. Key Responsibilities • Own and evolve the product roadmap for AI-related initiatives., • Gather, prioritise, and document business requirements for AI-driven features., • Work closely with non-technical stakeholders to align product objectives, clarify priorities, and manage expectations., • Translate complex AI concepts into simple, business-friendly language., • Collaborate with Data Science, Engineering, UX, and Delivery teams to ensure successful development and release cycles., • Define success metrics and track product performance, ensuring alignment with organisational goals., • Lead workshops, discovery sessions, and backlog refinement., • Ensure delivery teams have clear requirements, user stories, and acceptance criteria., • Mid-level experience as a Product Manager (typically 3–6 years)., • Experience working on AI, data, or machine learning–related products (awareness rather than deep technical expertise)., • Strong non-technical stakeholder management skills — able to influence, negotiate, and communicate with senior business stakeholders., • Ability to create product roadmaps, write user stories, and define acceptance criteria., • Experience in cross-functional delivery teams (agile preferred)., • Experience working within consulting or delivering into enterprise environments., • Familiarity with generative AI, predictive analytics, or automation tools., • Comfortable working in a fast-paced, client-facing setting. A proactive, commercially aware Product Manager who understands how AI can drive business value and who excels in managing non-technical stakeholders while ensuring clear and structured delivery.