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

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

Location: 🌍Belfast, London or Barcelona Salary and Compensation: 💷 £60,000 - £110,000 + 📈 Stock Options Benefits: 🏥 Full Medical Insurance + 💻 All Equipment Covered About Eolas Accessing medical knowledge rapidly and easily at the point of care is still very difficult for healthcare professionals. Eolas Medical is transforming how critical medical knowledge is accessed at the point of care. We have a vision where every healthcare professional can instantly access the context specific knowledge they need to deliver safe, effective care. Designed and developed by doctors, the platform aggregates and indexes tens of thousands of items of medical content, enabling rapid and accurate decision-making. It’s currently being used by hundreds of thousands of healthcare professionals globally, over 85% of acute NHS hospitals, 40% of all doctors in Ireland and also used in world leading institutions in the US including Stanford Healthcare, Mass General and Boston Children’s Hospital. We’re now hiring another Clinical Engineer to work alongside a team of doctors helping build the next generation of AI powered clinical knowledge tools. This position has a broad scope, accepting applications from all levels of experience, i.e from minimal software development experience to the world’s best clinician turned engineer. The Role - Clinician Engineer (Clinical + Full Stack Engineering) This is a rare hybrid role for doctors who are passionate about technology, problem-solving, and building real tools that dramatically improve clinical workflows. You will bring your clinical understanding into every product decision, while learning (or expanding) real engineering capability. You will help design, build, and ship features used directly by frontline clinicians including our next-generation AI-powered knowledge retrieval tools. We welcome a broad spectrum of experience: At one end: Doctors with strong clinical background and early-stage engineering skills who are eager to learn. You’ll receive close mentorship, structured training, and opportunities to contribute quickly. At the other: Highly experienced clinician-engineers capable of contributing as senior full-stack or backend engineers from day one. You’ll directly shape system architecture, product direction, and clinical tooling design. Your clinical intuition will be just as valuable as your engineering output. This is a role where both skillsets matter equally. Our Tech Stack We are a cloud-native, modern, TypeScript-first platform. Experience with any of the following is a bonus, you do not need all of them. Backend & Infrastructure • AWS (Lambda, API Gateway, Cognito, S3, OpenSearch), • Node.js / TypeScript, • Python, • PostgreSQL & DynamoDB, • Serverless architecture & microservices, • Docker, CI/CD pipelines, • Cloud security & compliance (HIPAA / GDPR / NHS DTAC) Frontend • React, • TypeScript, • Tailwind, • Component-driven development AI / RAG / Knowledge Pipelines • LLM-powered features, • RAG pipelines (embedding models, chunking strategies, semantic search), • Document extraction/processing (PDF parsing, OCR, agentic pipelines), • Clinical content ingestion workflows, • Evaluation frameworks for safe medical AI responses If you don’t know these yet, that’s fine. We will teach you. What You’ll Do Depending on your experience, you will contribute to some or all of the following: Product & Clinical Problem Solving • Translate real clinical workflows into intuitive product experiences., • Help design features that clinicians will actually use under pressure., • Work closely with doctors, engineers, and leadership to shape product direction. Full-Stack or Backend Engineering • Build and ship cloud-first features using TypeScript/Node.js, React/Next.js, and AWS., • Contribute to infrastructure-as-code and deploy serverless services., • Help architect systems that scale to hundreds of thousands of clinicians. AI & Clinical Knowledge Retrieval • Build RAG workflows that safely surface medical knowledge., • Develop clinical document ingestion pipelines that process PDFs, protocols, and policies., • Validate AI-generated outputs with clinical context and domain expertise. Quality, Safety & Clinical Integrity • Ensure that what we build is clinically safe, defensible, and high-impact., • Bring frontline intuition to technical decisions that will affect patient care. Learning & Growth • For early-stage engineers: Receive structured training in software engineering, cloud systems, and AI tooling. Pair program with senior engineers, complete real projects, and grow rapidly., • For experienced engineers: Lead projects, contribute to architecture, mentor others, and shape the technical roadmap. Who We’re Looking For You should be a doctor with a passion for technology. Beyond that, you might be early in your engineering journey or already an expert. Either way: Essentials • Strong clinical background with deep understanding of real-world workflows., • A product mindset: you obsess over usability and solving real clinician problems., • Genuine passion for technology, engineering, and learning new skills., • Ability to think pragmatically and deliver high-quality, reliable solutions., • Curiosity, humility, and a desire to build the future of clinical decision support. Nice to Have • Experience coding in TypeScript, JavaScript, Python, or similar., • Understanding of cloud systems (AWS preferred)., • Familiarity with LLMs, embeddings, or semantic search., • A portfolio of side projects, tools, or apps you’ve built (clinical or not)., • Experience in a startup or fast-moving environment. For Senior-Level Candidates • 3–7+ years engineering experience (before or after your clinical career)., • Ability to independently architect and build production systems or if frontend orientated have the ability to lead front end development using React., • Experience with serverless systems, distributed architectures, or AI pipelines., • Leadership experience or mentoring junior engineer-clinicians. Why Join Eolas Medical This is not a normal job. • You will help shape how AI is safely used in frontline healthcare - globally., • You will work with a small, mission-driven group of clinician-engineers., • You will join at a pivotal moment as we scale from a lean team to a global organisation., • You won’t just write code: your work will directly influence how doctors treat patients every day. You will not be one engineer among many. You will be someone who fundamentally shapes the future of Eolas Medical — and of clinical decision-making itself. Contact:

Hey! We're team Granola 👋 If you haven't already, you should check out ___, and ___. We're looking for an Android Engineer who loves building products in a fast-paced, iterative environment. In this role, you'll transform everything we've learned on macOS and iOS into a distinctly Android experience. You'll architect our Android app from the ground up, talk directly with users to decide what ships next, and own the Play Store launch. As part of the core product team, you'll unlock the next 100x users for Granola on mobile. In this role, you will: • Build Granola for Android from the ground up, owning every layer from architecture to the final shipped experience, • Architect a modern Kotlin + Jetpack Compose codebase that feels native to Android from day one, • Bring Granola's audio magic, transcription, chat, and next-generation AI features to Android, • Explore on-device ML with Google's latest models alongside Granola's AI engineers, • Prototype our first Wear OS companion experience completely from scratch, • Use bleeding-edge AI coding tools (Codex, Claude Code, etc.) the moment they ship—no bureaucracy, • Build on the newest Android APIs, • Share your wildest demos in bi-weekly all-hands sessions and ship the ones that hit, • Move fast with rapid experimentation and prototyping, doubling down on what resonates with users, • Develop totally novel interfaces and interactions for audio capture, playback, and more that make our app feel effortless and delightful Your background looks something like: • You've shipped polished Android apps end-to-end, from greenfield architecture to launch and iteration, • You're fluent in Kotlin, at home in Jetpack Compose, and willing to dive into lower-level Android frameworks when needed, • You've built (or are excited to build) real-time experiences or media features, • You're curious about on-device ML and AI-assisted product features, and eager to partner with our AI engineers to bring them to life, • Rapid prototyping, demoing work, and iterating directly with designers and users feels natural to you As a person, you… • Are first and foremost a builder, • Are excited to work in-person from our office in London (most of the time), • Love working in a startup environment (you either have experience working in a startup or are really drawn to the zero-to-one phase), • Value working with people who are kind, ambitious and pragmatic, • Have an interest in AI/ML (direct experience not required), • Thrive in a fast-paced environment with evolving requirements and priorities About the opportunity We are living in the most exciting time for tool builders since ___ in 1968. We want to assemble the best crew to build this future together, here in London. Our compensation philosophy is to pay slightly above market on salary and above market on equity. We do our best work in person, and so our team spends time together five days per week in our new, bright, and spacious office at Old Street. We are happy to offer relocation assistance to candidates who'll be moving to London to join us. Lastly, we think amazing talent comes from all kinds of life journeys and experiences. If what is written above speaks to you, whether you look like a fit on paper or not, please reach out.

Data Engineer Location: London (Hybrid) Salary: £70,000 Shape the future of audio analytics at a global media giant by building scalable data platforms, standardised infrastructure and cutting-edge frameworks that power smarter audience insight, stronger engagement, and high-impact digital experiences across multiple international markets. The Opportunity This opportunity offers the chance to join a global media organisation as it modernises and elevates its audio data capabilities. You'll play a key role in building unified data platforms and standardised infrastructure that will be used across multiple international markets. Central to the role is creating robust pipelines and analytics layers that enable deeper audience insights and more impactful digital engagement. Working within a small, forward-thinking engineering team, you'll act as part of an internal consultancy driving best practice across the business. It's a chance to influence architecture, shape frameworks from the ground up, and directly enhance everything from competitions to large-scale campaign performance. Role and Responsibilities In this role, you'll build and maintain robust data pipelines using Python and SQL to ensure clean, reliable, and well-structured data. You'll design and optimise workflows using tools such as Airflow and dbt to support scalable, high-quality analytics layers. You'll help architect and evolve cloud-based data platforms across technologies like BigQuery, Redshift, and Terraform. You'll contribute to creating a standardised, self-serve data infrastructure that can be adopted across multiple international teams. You'll also work closely with engineers and stakeholders to validate data quality, improve processes, and drive best-practice engineering across Kubernetes-based environments. Interview Process • Introductory Conversation - Discussing Experience and CV, • Technical Test

Full-Stack Engineer | Product Engineering (FastAPI, React, Supabase) | AI Start Up • Salary: Up to £100k + meaningful equity, • Location: Zone 1 Central London Offices, On-site, • (Please note: sponsorship is not available at this time.) The Role You’ll join a small, high-calibre engineering team building AI-native products from the ground up. In this role, you will work across the full stack to architect, build, and ship production systems powering multimodal AI agents. You’ll design intuitive interaction models for human–AI collaboration, develop scalable backend services, and rapidly prototype new features at pace. You’ll also work directly with the founding team to shape technical direction, defining the platform architecture and helping build a genuinely new category of agent-led product development. This is a true 0→1 engineering environment where you’ll have deep ownership and impact. Non-Negotiables • Full-stack engineering experience with production delivery, • Ability to ship end-to-end features in containerised environments, • Comfortable navigating ambiguity, shifting priorities, and rapid experimentation, • Strong problem-solving mindset with ownership and resilience Nice to Haves • Founder or founding engineer background, • Experience building interfaces for agentic workflows, • Exposure to LLMs, multimodal models, or agent UX (AX), • Experience shaping technical strategy in early-stage teams What You’ll Work With • FastAPI backend development, • React engineering and modern frontend tooling, • Supabase or similar cloud-native backend tools, • LLM agent workflows: tool calling, memory, retries, context updates, • Human–AI interaction models and agent UX (AX) design, • System design, architecture evolution, and scaling pathways, • MCP integrations and multimodal agent capabilities Why join You’ll join a deeply AI-native engineering culture where you’ll help define how humans and agents build products together. You will: • Influence core platform architecture during its foundational stage, • Build and iterate on multimodal agent systems, • Prototype and refine new models of human–agent collaboration, • Work closely with founders on strategy and product direction, • Be part of a high-intensity, supportive team obsessed with building exceptional products Full-Stack Engineer | Product Engineering (FastAPI, React, Supabase) | AI Start Up

Data Platform Engineer – Permanent Hybrid (3 days in the office, 2 days WFH) London McCabe & Barton are partnering with a leading financial services client to recruit an experienced Data Platform Engineer. This is an excellent opportunity to join a forward-thinking team driving innovation with modern cloud-based data technologies. Role Overview As a Data Platform Engineer, you will design, build, and maintain scalable cloud-based data infrastructure using Azure and Databricks. You’ll play a key role in ensuring that data pipelines, architecture, and analytics environments are reliable, performant, and secure. Key Responsibilities Platform Development & Maintenance • Design and implement data pipelines using Azure Data Factory, Databricks, and related Azure services., • Build ETL/ELT processes to transform raw data into structured, analytics-ready formats., • Architect and deploy scalable data lake solutions using Azure Data Lake Storage., • Implement governance and security measures across the platform., • Develop and optimise data jobs using PySpark or Scala within Databricks., • Implement the medallion architecture (bronze, silver, gold layers) and use Delta Lake for reliable data transactions., • Implement monitoring solutions using Azure Monitor, Log Analytics, and Databricks tools., • Partner with data scientists, analysts, and business stakeholders to deliver effective solutions., • 5+ years of experience with Azure services (Azure Data Factory, ADLS, Azure SQL Database, Synapse Analytics)., • Strong hands-on expertise in Databricks, Delta Lake, and cluster management., • Proficiency in SQL and Python for pipeline development., • Familiarity with Git/GitHub and CI/CD practices., • Experience with Terraform or other Infrastructure-as-Code tools., • Familiarity with Azure DevOps or similar CI/CD platforms., • Experience with data quality frameworks and testing., • Azure Data Engineer or Databricks certifications. Please apply with an updated CV if you align to the key skills required!

Our client an industry-leading digital innovator who are scaling their mobile engineering capabilities, and searching for a Senior React Native Engineer who can take true ownership of end-to-end mobile delivery. If you thrive in fast-paced environments, love building exceptional user experiences, and want to play a pivotal role in a high-performing tech team, we’d love to hear from you. What You’ll Be Doing • Taking full responsibility for designing, developing and shipping high-quality mobile applications across both iOS and Android., • Bringing deep knowledge of React Native to architect clean, scalable solutions., • Leveraging modern commerce ecosystems, including headless commerce platforms., • Working confidently with state management tools like Redux or similar patterns., • Integrating and consuming GraphQL and RESTful services to power rich user experiences., • Rapidly shaping UI concepts through prototypes and iterative design., • Ensuring reliability through comprehensive unit testing and a strong focus on performance optimisation., • Enhancing, maintaining and supporting existing features with robust monitoring and alerting., • Collaborating with cross-functional teams in a matrix environment and guiding development activities through influence and technical leadership. What You Bring • 5+ years’ experience delivering production mobile apps for iOS and Android., • Strong expertise with iOS/Android SDKs, remote data handling (REST/JSON) and third-party integrations., • Solid understanding of mobile architecture, trends and best practices across the entire development lifecycle., • Clear, confident communication skills — written, verbal and interpersonal., • A proactive, self-driven mindset with the ability to juggle multiple priorities., • Experience in multicultural, distributed teams with a truly collaborative attitude., • A hands-on, problem-solving approach paired with genuine accountability. Tech Stack You'll Work With • Required: React Native, JavaScript, JS frameworks, Redux, GraphQL, AEM, Storybook, Chromatic, TypeScript, UI frameworks, • Nice to Have: Next.js, Angular, caching technologies, Adobe Experience Manager Why This Role? This is an opportunity to lead meaningful engineering work, influence technical direction, and contribute to applications used by thousands of customers. You’ll join a team that values innovation, autonomy and high standards. If you’d like me to tailor the tone (more corporate, more energetic, more concise) or customise it for a specific company or recruiter brand, feel free to ask!

Report to the CTO and Head of Data Science in this global commodity trading house. The team is in place to bridge the gap between front office analytics and the wider IT team – You’ll be the architect and go-to person within a team of data engineers and DevOps engineers supporting architectural decisions, technical direction and stakeholder interactions, likely traders and analysts. Your likely experience is 8 years+ in a data engineering setting and likely making the jump from a lead engineer into something like this - As this team is currently growing, direct reports could be approx of 12 engineers (Junior, Mid-level and Senior.) Technical experience will be with Python, dealing with huge volumes of data at scale across both bathc and stream processes. Orchestration tools such as Apache Airflow, Datawarehouse is Snowflake whilst having microservices experience within a cloud environment, ideally AWS. A solid all rounder who can still roll their sleeves and get amongst the code. If you have domain experience, great – but it’s NOT essential. Hybrid working set up A unique opportunity that could blend your technical skillset with the trajectory to lead a new “start-up like” function. Ready to take on the challenge? No up to date CV required.

Do you want to build a predictive AI platform that surfaces opportunities before clients even know they exist? Have you led end-to-end delivery of LLM/RAG/agentic systems in production? Ready to become the technical owner of an intelligence engine at an early-stage startup? A high-growth AI/FinTech startup is building a predictive intelligence platform for financial institutions. Their system connects external market events, client risks and revenue opportunities through real-time agentic AI. Backed by senior ex-consulting and enterprise technology leaders, they’ve already built a functioning MVP and are now hiring their first in-house Lead AI Engineer to take ownership of the core intelligence layer. You’ll work directly with the CTO, shaping the architecture, roadmap and long-term AI strategy. This role suits a builder who wants ownership, deep technical scope and the chance to define the product from the ground up. The Lead AI Engineer will architect and productionise advanced LLM/RAG systems, design agentic workflows, own evaluations and guardrails, and integrate AI modules into a scalable enterprise-grade platform. You’ll collaborate with domain experts from corporate and investment banking, helping turn market foresight into actionable intelligence. Key responsibilities • Design and deploy RAG pipelines, agentic workflows and LLM-based intelligence modules, • Build Python-based AI components, APIs and microservices, • Own evaluation frameworks, observability, guardrails and model governance, • Integrate AI systems into production environments and enterprise workflows, • Work closely with the CTO and guide junior/external engineers, • Translate financial-services use cases into practical AI features Key details • Working model: Hybrid (3 days/week, Central London), • Tech: Python, LLMs, RAG, agentic systems, vector stores, cloud, • Visa: Cannot sponsor Interested? Please apply below.

Java Developer / Software Engineer (AWS React Full Stack) London / WFH to £80k Are you a technologist Java Developer looking for an opportunity to be part of something big from the start? You could be progressing your career in an impactful role at a newly established Fintech start-up, set up by a small team of finance and technology entrepreneurs with a hugely successful track record. As a Java Developer you will join a small team to build systems from the ground up, working across the full technology stack with a focus on designing, developing and deploying cloud-native microservices that form the core of the platform. You'll collaborate closely with the Lead Engineer, Architect and Product Manager to shape system design, APIs and data models to enable scalable backend logic and clean UI. Location / WFH: You can work from home most of the time, meeting up with colleagues in London; as the company grows there will likely be some in office requirements but with lots of flexibility. About you: • You have strong Java, AWS and Kubernetes skills and also have a good appreciation of user interface / front end development using React or Tailwind CSS, • You have a strong knowledge of modern software engineering best practices including cloud native applications, microservices and CI/CD, • You are an advocate of AI and keen to explore its capabilities, • You are commercially aware and can see the "big picture", • You're a skilled problem solver, able to make trade-offs and get things done, • You're collaborative and pragmatic with great communication skills, • Ideally you will have a good understanding of Financial Services / Open Banking What's in it for you: As a Java Developer / Software Engineer you will receive: • Up to £80k, • Significant stock options Apply now to find out more about this Java Developer / Software Engineer (AWS React Full Stack) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

Client: Tier 1 Global Brand Rate: £700-£800 Inside IR35 (negotiable) Duration: 6 months initially, view to extend Location: London 3 days, remote 2 days Senior Infrastructure Developer (Python, VMware Cloud Foundation) As part of our global Virtualization Engineering team, you’ll play a critical role in architecting, integrating, and automating our next-generation infrastructure based on VMware Cloud Foundation (VCF). We are embarking on a multi-year transformation, leveraging expert consultants to deliver a scalable, automated virtualization stack. You’ll work hands-on with VCF, Linux, Ansible, and our proprietary configuration management system to deliver robust solutions across both brownfield and greenfield environments. Responsibilities: • Design, implement, and automate configuration management for a large-scale, global VCF-based virtualization platform using Python and Ansible., • Engineer and integrate APIs to provide infrastructure-on-demand and seamless interaction between on-prem and third-party tools., • Lead lab-based testing, certification, and integration of new hardware and software components into existing infrastructure., • Collaborate with internal stakeholders to gather requirements and architect scalable, resilient solutions., • Ensure technical alignment with both vendor best practices and internal standards for reliability, automation, and security., • Work independently to deliver on aggressive project timelines and resolve complex technical challenges. Required Skills: • Extensive experience automating infrastructure tasks (installation, configuration, management) using Python., • Hands-on experience with automation frameworks (Ansible, Python) and Infrastructure as Code practices., • Deep understanding of virtualization technologies, ideally VMWare Cloud Foundation (VCF) or vSphere., • Strong technical fundamentals: TCP/IP, DNS, Linux, distributed systems., • Experience integrating APIs and automating workflows across hybrid infrastructure stacks. Familiarity with software version control, CI/CD pipelines, and modern SDLC practices. Desired Skills: • Hands-on expertise with VMware’s suite (VCF, vSphere, vSAN) in both greenfield and brownfield rollout scenarios., • Knowledge of software testing methodologies for infrastructure automation., • Experience with other programming languages (e.g., Go, PowerShell, Bash)., • Understanding of containerization and cloud-native patterns., • Experience working in high-pressure, global teams on multi-year strategic projects. Personal Attributes: • Self-motivated and able to operate independently with minimal oversight., • Comfortable working under pressure and managing competing priorities., • Excellent communication skills in a distributed, multicultural environment.

Founding Solutions Data Architect London / WFH to £115k Are you a data technologist with start-up experience looking for your next opportunity? You could be progressing your career, in a founding position at a tech start-up that is producing an AI native data pipelining platform. As the Founding Solutions Data Architect you'll play a vital role in helping client data teams to adopt and scale the company's platform. You'll be responsible for a broad range of activities including Solution Design and Architecture, Technical Onboarding and Implementation, Technical Troubleshooting and Support, Technical Enablement and Training and will provide feedback to the product team to help shape the roadmap. You'll be a vital part of ensuring long term customer success, providing expertise to design workflow architectures and recommending best practices for data pipelines, asset dependencies, SLOs, lineage and observability. Location / WFH: You'll join colleagues in the London office (close to Waterloo) with flexibility to work from home twice a week. About you: • You have experience in a Solutions Architect, Data Engineer, Analytics Engineer or Technical Success / Customer Engineering role within a Data product or SaaS company, • You have indepth technical knowledge of Python for data workflows, SQL and Data Modelling, DBT, Cloud platforms (AWS, GCP or Azure), Workflow Orchestration tools (e.g. Airflow, Dagster, Prefect, DBT Cloud), CI/CD (GitHub Actions, GitLab CI, CircleCI), • You have experience of leading technical deployments, running customer projects, diagnosing issues and delivering outcomes, not just advice, • You have advanced communication and presentation skills, • You understand customer data teams, the challenges they face and how to turn these into successes What's in it for you: • Salary to £115k, • Equity, • Impactful role with excellent career progression as the company scales, • Hybrid working, • Pension Apply now to find out more about this Founding Solutions Data Architect opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

Lead AI Engineer – Next-Gen Predictive Intelligence Platform Startup / AI / Product / Financial Services Central London (2–3 days in office) | £100k-£120k base + strong equity A high-growth FinTech startup in London is building an AI-powered Predictive Intelligence Platform for corporates and financial institutions. Their technology connects market events, client data, and emerging opportunities through advanced agentic AI and RAG-based systems, helping financial institutions anticipate client needs before they arise. They have built a live MVP in record time, with enterprise client demos underway, and are now hiring a Lead AI Engineer to join as permanent hire number four in the founding technology team. This is a rare opportunity to join at the inflection point — a hands-on, high-ownership, high-impact role where you’ll shape the AI core of a company redefining predictive intelligence in finance. Role Overview Reporting directly to the CTO, you’ll lead the design and productionisation of the company’s core AI systems. You will architect, implement, evaluate, and scale RAG pipelines, agentic workflows, and LLM-based intelligence frameworks, driving real-world impact across financial markets. The role is approximately 80% hands-on and 20% strategic, covering Python engineering, system architecture, and model evaluation, while collaborating closely with product and domain experts. Key Responsibilities • Build and deploy RAG pipelines, agentic AI workflows, and LLM integration frameworks, • Own AI evaluation, guardrails, and observability systems, • Translate financial workflows into scalable AI capabilities, • Collaborate directly with the CTO and external development teams, • Help shape the AI roadmap and mentor future hires About You • Strong experience in LLM engineering, RAG systems, prompt orchestration, and agentic architectures, • Proven experience delivering ML/AI systems into production environments, • Excellent Python engineering and system design skills, • Familiarity with APIs, MLOps, and cloud deployment (AWS, GCP, or Azure), • Clear communicator, comfortable in fast-paced, early-stage environments, • STEM degree required; MSc in AI, Computer Science, or a related field preferred, • You have experience in financial services/regulated industry, • You have B2B experience What’s on Offer • £100k-£120k base salary plus meaningful equity, • Join at ground level (hire number four) with real ownership and influence, • Work with an exceptional founding team from top-tier consulting, technology, and finance backgrounds, • Hybrid working model: 2–3 days a week in Central London, • Visa sponsorship not available

Senior Full Stack Data Engineer – Decho Group (Part of Accenture) 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 Senior Consultant Engineers who want to apply their technical mastery in AI consultancy and Palantir engineering while shaping the future of data-driven decision-making. This is a hands-on, client-facing role where you’ll lead technical delivery, partner directly with stakeholders, and act as a trusted advisor. You’ll combine software engineering expertise with strategic problem-solving, working across data pipelines, operational workflows, and AI models to deliver transformation at scale. Key Responsibilities • Lead & Architect: Own the design of innovative solutions using Palantir software, ensuring scalability and long-term impact., • Engineer Data at Scale: Build, optimise, and maintain complex pipelines and ETL processes powering mission-critical decision models., • Strategic Workflows: Develop enterprise-grade workflows and decision-support tools that reshape operations across industries., • AI Leadership: Guide the integration of AI and machine learning models into client environments, ensuring measurable outcomes., • Client Engagement: Partner directly with senior stakeholders, translate business needs into technical solutions, and influence strategic direction., • Technical Excellence: Set engineering standards, champion best practices, and drive continuous improvement across teams., • Mentorship & Growth: Coach junior engineers, foster knowledge-sharing, and contribute to the Decho Lab’s innovation culture. What We’re Looking For • 5+ years of experience in software/data engineering with proven expertise in Python, SQL, and TypeScript., • Ideally experience with Palantir technologies (Foundry, Gotham, or similar platforms)., • Advanced knowledge of data engineering, ETL pipelines, and workflow design at enterprise scale., • Track record of leading teams, mentoring engineers, and delivering complex projects in client-facing environments., • Passion for AI, machine learning, and emerging technologies, with ability to translate innovation into impact., • Exceptional problem-solving, communication, and stakeholder management 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., • Lead mission-critical, client-facing projects across government, defence, health, and commercial sectors., • Gain hands-on experience in AI, advanced analytics, and Palantir technologies while shaping industry standards., • Build your career story as a senior leader driving transformation in data-driven decision-making., • Thrive in a culture that values innovation, collaboration, and bold ambition.

Job Title: Data Architect (Insurance Domain) Location: London UK Experience Level 15 years with at least 5 years in Azure ecosystem Role: We are seeking a seasoned Data Architect to lead the design and implementation of scalable data solutions for a strategic insurance project The ideal candidate will have deep expertise in Azure cloud services Azure Data Factory and Databricks with a strong understanding of data modeling data integration and analytics in the insurance domain Key Responsibilities · Architect and design end to end data solutions on Azure for insurance related data workflows · Lead data ingestion transformation and orchestration using ADF and Databricks · Collaborate with business stakeholders to understand data requirements and translate them into technical solutions · Ensure data quality governance and security compliance across the data lifecycle · Optimize performance and cost efficiency of data pipelines and storage · Provide technical leadership and mentoring to data engineers and developers Mandatory Skillset: · Azure Cloud Services Strong experience with Azure Data Lake Azure Synapse Azure SQL and Azure Storage · Azure Data Factory ADF Expertise in building and managing complex data pipelines · Databricks Handson experience with Spark based data processing notebooks and ML workflows · Data Modeling Proficiency in conceptual logical and physical data modeling · SQL Python Advanced skills for data manipulation and transformation · Insurance Domain Knowledge Understanding of insurance data structures claims policy underwriting and regulatory requirements Preferred Skillset: · Power BI Experience in building dashboards and visualizations · Data Governance Tools Familiarity with tools like Purview or Collibra · Machine Learning Exposure to ML model deployment and monitoring in Databricks · CICD Knowledge of DevOps practices for data pipelines Certifications: Azure Data Engineer or Azure Solutions Architect certifications Skills Mandatory Skills: Python for DATA,Java,Python,Scala,Snowflake,Azure BLOB,Azure Data Factory, Azure Functions, Azure SQL, Azure Synapse Analytics, AZURE DATA LAKE,ANSI-SQL,Databricks,HDInsight

Product Engineer | FastAPI, React, Supabase | Generative AI Start Up • Salary: Up to £100k + meaningful equity, • Location: Central London Offices, On-site, • (Please note: sponsorship is not available at this time.) The Role You’ll join a small, high-calibre engineering team building AI-native products from the ground up. In this role, you will work across the full stack to architect, build, and ship production systems powering multimodal AI agents. You’ll design intuitive interaction models for human–AI collaboration, develop scalable backend services, and rapidly prototype new features at pace. You’ll also work directly with the founding team to shape technical direction, defining the platform architecture and helping build a genuinely new category of agent-led product development. This is a true 0→1 engineering environment where you’ll have deep ownership and impact. Non-Negotiables • Full-stack engineering experience with production delivery, • Ability to ship end-to-end features in containerised environments, • Comfortable navigating ambiguity, shifting priorities, and rapid experimentation, • Strong problem-solving mindset with ownership and resilience Nice to Haves • Founder or founding engineer background, • Experience building interfaces for agentic workflows, • Exposure to LLMs, multimodal models, or agent UX (AX), • Experience shaping technical strategy in early-stage teams What You’ll Work With • FastAPI backend development, • React engineering and modern frontend tooling, • Supabase or similar cloud-native backend tools, • LLM agent workflows: tool calling, memory, retries, context updates, • Human–AI interaction models and agent UX (AX) design, • System design, architecture evolution, and scaling pathways, • MCP integrations and multimodal agent capabilities Why join You’ll join a deeply AI-native engineering culture where you’ll help define how humans and agents build products together. You will: • Influence core platform architecture during its foundational stage, • Build and iterate on multimodal agent systems, • Prototype and refine new models of human–agent collaboration, • Work closely with founders on strategy and product direction, • Be part of a high-intensity, supportive team obsessed with building exceptional products Product Engineer | FastAPI, React, Supabase | Generative AI Start Up

Lead AI Engineer Tech Focus: Microsoft Azure AI Stack / LLM / Agent Orchestration / Data Science Salary: £90,000 – £100,000 + 20% Bonus + 20% Employer Pension Contribution Location: London – Hybrid This is an exciting opportunity for a Lead AI Engineer to join a prestigious financial organisation as they launch a major AI initiative. Having completed their digital and data transformation programme, the organisation now operates fully in Azure Cloud and is making significant strides in AI adoption. They’ve built an AI platform designed to improve efficiency for both internal and external facing users. This is a hands-on technical leadership role. You’ll lead projects and mentor engineers while actively developing Azure-native agent frameworks and building team-specific AI applications that deliver business outcomes. You’ll work in a cross-functional team alongside an AI Engineering Manager, Architect, DevOps Engineers, AI Test Lead, Data Scientists, and Project Managers. What we’re looking for: • Hands-on AI development experience in a cloud environment (ideally Azure AI Stack, but open to other platforms), • Proven experience in a lead or principal capacity (technical leadership, project ownership, mentoring), • Practical experience with Large Language Models (LLMs) in production environments, • Experience with Agent Orchestration and building frameworks that deliver business outcomes, • Strong coding skills in Python and SQL Desirable: • Background in Data Science, • Light front-end development, for example being able to create internal web applications If you’re passionate about building practical AI solutions and want to work in a collaborative environment that takes AI seriously, please apply directly and we’ll be in touch with more details.

[Up to c. £250k Comp Package | Hybrid Working] Role Overview We’re partnering with a globally respected multi-strategy investment firm seeking a senior-level engineer to take ownership of the next generation of its market data platforms. This role calls for someone who blends deep Python engineering capability with strong object-oriented design instincts, and who understands how to ingest, structure, and optimise vast, granular financial datasets. You’ll play a central role in shaping large-scale tick-data architecture - building pipelines, improving data-lake structures, and refining storage formats to support demanding research and trading workflows... Key Responsibilities • Architect, build, and refine high-throughput pipelines capable of processing large volumes of real-time and historical market data, • Develop resilient, well-structured Python/OOP solutions underpinning tick-data ingestion, normalisation, storage, and replay, • Design and evolve data-lake patterns using Parquet and related columnar formats; introduce Iceberg-style table modelling where beneficial, • Implement cloud-backed processing and storage patterns - leveraging services from AWS, Azure, or GCP for scale, resilience, and cost efficiency, • Improve system performance across latency, throughput, and reliability, ensuring pipelines support fast-moving trading environments, • Work with time-series technologies such as KDB or OneTick to optimise retrieval, querying, and analytics workflows, • Collaborate closely with researchers, traders, and engineering partners to translate data requirements into robust production solutions, • Introduce validation, reconciliation, and monitoring frameworks that guarantee the accuracy and quality of market datasets, • Maintain clear technical documentation covering pipeline logic, architectural decisions, and operational procedures What You’ll Bring… • 7-10 years’ experience in software/data engineering, with a strong emphasis on Python and object-oriented development, • Demonstrable experience building or maintaining large-scale tick-data platforms or market-data ingestion systems, • Strong knowledge of data-lake architecture, columnar storage (Parquet essential), and modern table formats (Iceberg highly advantageous), • Familiarity with cloud ecosystems (AWS, GCP, or Azure), including compute, storage, and workflow orchestration patterns, • Comfortable with Kubernetes, containers, and automated deployment workflows, • Strong communication skills and the ability to operate closely with quants, PMs, and trading-focused engineering teams, • A strong academic background in Computer Science, Engineering, Mathematics, or a related technical field, • (Preferred) Experience working with time-series databases such as KDB or OneTick; C++ exposure, • (Preferred) Prior exposure to financial markets - particularly equities, macro, or systematic strategies ...

Senior Frontend Engineer (Enterprise Data & Visualisations) - Contract Inside IR35/ Hybrid We’re looking for a Frontend Engineer to join a key client to design and build enterprise-grade dashboards and visualisations that deliver actionable insights at speed. This is a high-impact role in a leading global airline group, with initial focus on a flagship airline and scope to scale solutions across multiple brands. What you’ll do: • Rapidly prototype dashboards and visualisations to meet urgent business needs., • Architect and build production-grade, reusable frontend solutions using modern frameworks (React, TypeScript, etc)., • Ensure scalability, performance, and reliability across multiple business units., • Integrate solutions with enterprise APIs and data sources, supporting cloud-native deployments., • Collaborate closely with Data Engineers, Backend Engineers, and Analysts to deliver cohesive, high-quality solutions., • Engage with stakeholders to translate requirements into impactful visual experiences., • Design frameworks for interoperability and reusability across multiple operating companies. What we’re looking for: • 8-10 years of enterprise frontend engineering experience, ideally in AI or data-driven environments., • Deep expertise in Tableau, PowerBI, or similar tools for rapid prototyping and stakeholder engagement., • Hands-on experience with modern frontend frameworks (React, TypeScript)., • Cloud experience (AWS preferred) and knowledge of scalable deployment and API integration., • Proven track record of delivering production-ready, robust frontend solutions., • Excellent communication skills and experience working closely with stakeholders., • Familiarity with airline, logistics, or large-scale operational data is a plus., • Ability to collaborate on-site initially and travel internationally for deployment.

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

Senior Platform Engineer – Hedge Fund £150,000 - £225,000 base + competitive hedge fund bonus Orbis has partnered with a high-performing multi-asset hedge fund to build out its platform engineering team. This is a rare opportunity to lead greenfield infrastructure projects in a sophisticated trading environment; no prior finance experience is required. The role: You'll architect and deliver critical infrastructure projects spanning the firm's on-premise data centres and cloud environments. Key focus areas include: • Leading the migration from Nomad to Kubernetes across a hybrid infrastructure environment, • Designing highly available systems that support real-time trading operations, • Expanding the firm's cloud footprint (AWS/Azure/GCP) while maintaining on-prem capabilities, • Owning projects end-to-end from design through production What you'll need: • Production experience with Kubernetes (EKS/AKS/GKE or bare-metal), • Strong Linux systems background; Windows experience is beneficial, • Track record delivering cloud migrations and managing hybrid environments, • Experience supporting mission-critical, highly available systems What makes this different • Greenfield projects: Build from scratch rather than maintaining legacy systems, • Technical diversity: Work across data centres, cloud platforms, and container orchestration, • Finance exposure: An opportunity to break into hedge funds without needing prior domain knowledge, • Competitive compensation: Strong base salary plus hedge fund bonus structure, • Balanced hybrid working: 3-4 days per week in St James offices Interested? Apply through Orbis to learn more about the firm and the interview process.

My client, a leading systematic hedge fund, is seeking an experienced cloud engineer (AWS) to join their infrastructure team in London. This is a new position to help lead the expansion of their cloud environment. This will involved contribution to the development of their quantitative research platform, data ingestion pipelines and post-trade systems. The successful individual will have previous experience with AWS and be an expert in Kubernetes. You will be responsible for designing, implementing and managing a scalable cloud infrastructure to support various business divisions. Requirements: • 5+ years of experience in a similar role, with hands-on experience in AWS and Kubernetes., • Strong Terraform & Infrastructure as code knowledge., • Experience with CNCF technologies such as Argo CD, Kyverno and Backstage., • AWS Certified Solutions Architect, CNCF certificate or similar, • Programming knowledge (Go, Python etc), • Kubernetes operators, • Experience of automation through GitHub Actions or similar My client is committed to paying a strong increase on any base salary alongside market leading bonuses. It is also worth noting that my client offers exceptional benefits, ranging from on-site breakfast, lunch + dinner daily (free for all staff), to private healthcare (for you and your family). Apply now by following the link below or send your resume directly to

Senior Go (Golang) Engineer | Stealth Fintech | London (Min. 4 days/week onsite in London) Up to £200k + Equity | London Maze is partnering with a stealth-mode startup that's rebuilding core banking from the ground up. They’re creating the world’s first open-source, AI-native "Thin Ledger"—set to replace legacy infrastructure at Tier 1 banks. We're looking for a Senior Engineer specialising in Go to contribute to v1 builds, define architecture, and ship mission-critical backend systems from scratch. What you’ll do: • Design & scale a fault-tolerant ledger (Golang, Kafka, CockroachDB/YugabyteDB), • Architect distributed, multi-region infra with five-nines reliability, • Contribute to backend, DevOps, and CI/CD decision-making, • Embed AI into engineering workflows & ops, • Self-motivated, problem-solving mindset; open to non-traditional backgrounds. You should have: • Expert backend skill ideally in Golang, or Rust, Zig or C., • Deep expereince building distributed systems from scratch., • Experience in greenfield projects with high ownership., • Motivated and excited to work with AI. Why join: • Huge ownership: build core infra from scratch., • Work with a high-caliber team, fast-paced and product-minded founders who have worked in some of the most recognised tech businesses in the world., • Help define an open-source platform from day one., • Clear path to tech unicorn status with fruitful equity included., • Recently raised 8 figures in funding. Apply within if your skillset matches! Please note: Due to the high volume of applications we are not always able to respond to all applicants, if you have not had a response within 7 days of your application it is likely it has been unsuccessful.

Senior DevOps Engineer Onsite - central London Our client is a fast growing FinTech reshaping the future of digital payments. Their platform powers next generation financial experiences for consumers and enterprise partners, enabling seamless spending across multiple accounts, smart financial routing, brand linked rewards, and collaborative/group financial features; all through a single, unified infrastructure. They partner closely with major retailers and financial institutions, bringing innovation to sectors that have historically moved slowly. Their mission is centred on improving financial wellbeing and helping individuals, families, and groups make their money go further through intelligent, purpose driven spending technology. The Role Our client is looking for an experienced Senior DevOps Engineer to take ownership of their cloud and platform infrastructure. This role sits at the heart of the engineering function, working alongside senior technical leaders to ensure reliability, scalability, and smooth delivery across a complex, high growth environment. You will lead on CI/CD, cloud architecture, automation, containerisation, and infrastructure as code, while embedding strong security and compliance practices across the organisation. Key Responsibilities • Design, implement, and maintain robust CI/CD pipelines to streamline deployments., • Partner closely with software engineering teams to ensure smooth delivery and operational excellence., • Architect, scale, and optimise cloud infrastructure (AWS/Azure/GCP)., • Implement infrastructure as code using Terraform, Ansible, or CloudFormation., • Lead containerisation and orchestration strategy using Docker and Kubernetes., • Develop automation scripts and tooling to enhance operational efficiency., • Embed security, compliance, and best practices across all infrastructure layers., • Monitor system performance, troubleshoot issues, and drive reliability improvements., • Contribute to the on call rotation for incident response and system uptime., • Mentor and support other DevOps engineers., • Maintain clear documentation for systems, tooling, and processes. Key Requirements • 5+ years’ experience in a DevOps/SRE capacity within fast paced engineering teams., • Strong CI/CD experience (Jenkins, GitLab CI, CircleCI, etc.)., • Proficiency with Python, Bash, Ruby or similar scripting languages., • Expertise across cloud platforms (AWS preferred; Azure/GCP also considered)., • Hands on experience with Terraform, Ansible, and/or CloudFormation., • Strong background in Docker and Kubernetes., • Good understanding of networking fundamentals., • Experience with monitoring and logging stacks (Datadog, Prometheus, Grafana, ELK, etc.)., • Strong communication skills and the ability to collaborate across engineering teams., • Knowledge of compliance/security frameworks (PCI DSS, SOC2, ISO, GDPR)., • Experience with microservices and serverless environments., • Familiarity with SQL/NoSQL databases., • Proven ability to lead technical initiatives in complex environments. Location & Right to Work This is an in office role in Central London. Candidates must already have the unrestricted right to work in the UK as sponsorship is not currently available

Location: London Area (Fully Remote with 1x Monthly in-person meeting + weekly optional co-working in London) Compensation: £65,000 - £85,000 + Path to Meaningful Equity Role Type: Founding Engineer Mentality (Results-Oriented) About Us We are a lean and fast-growing AI and Data Analytics consultancy. While we have deep roots in AI, we build a wide variety of software solutions for our clients—ranging from high-performance mobile data collection tools to complex cloud-native backends. We are looking for an ambitious developer ready to step into a leadership and architectural role. The Role & Culture We operate on a High-Trust, Results-Driven basis. We don't care about 9-5 fixed hours; we care about delivery and excellence. One of our current projects requires deep expertise in Android (Kotlin). While we take on diverse projects across various stacks, your immediate priority will be owning and architecting a performance-critical mobile data collection ecosystem. This is a "many hats" role: one morning you might be designing a system architecture, and that afternoon you might be building a slide deck for a client pitch or debugging a Docker deployment. What You’ll Do • Architect & Build (Kotlin focus): Take full ownership of our high-performance Android data collection app. Expert-level Kotlin is essential here., • Technical Decision Making: Choose the right tool for the job. You have the autonomy to implement new technologies for future projects., • Technical Leadership: Act as an architect for our system ecosystems and mentor the wider team., • Kotlin Expert (Must Have): 3+ years of professional experience. Deep understanding of the Android ecosystem., • Cloud & Architecture (Must Have): Experience working with at least one major cloud provider (AWS, GCP, or Azure) and a solid grasp of system architecture (designing APIs, selecting databases, and high-level system flow). While you don't need to be a principal architect, you must be comfortable designing the "skeleton" of a project., • Ownership Mindset: You understand that in a startup, "done" means deployed and working. You are reliable and reachable when the stakes are high., • Polyglot & Ambitious: You are fearless about swapping to Python, Go, or other technologies. You are a strong "Mid" or "Senior-lite" ready to lead., • True Flexibility: We offer a "give and take" culture. During project downtime, we encourage you to recharge and work reduced hours. As long as you are contactable and the work is done, your schedule is your own., • Unrivaled Autonomy: You choose the stack. You design the systems. You deliver to the customer., • Path to Equity: Following a successful integration and probation period, there is a clear path to meaningful equity ownership., • Impact: You will be a very influential, expert technical person in the company taking us forward as we grow as a business. Apply today. No agencies. We are not currently offering VISA sponsorship.

About Buildots Buildots is revolutionizing the construction sector by introducing advanced AI and Computer Vision technologies into the traditional construction world. Our platform seamlessly transforms construction sites into digital environments, where data is the key to saving time and minimizing costs. Every day, we are tackling new, complex challenges that are unique to the construction industry, continuously improving performance, accuracy, and reliability. Our product is already live on construction sites in more than 15 countries, creating tremendous value for our clients and users. The Company is backed by a top-notch investors team that includes leading VCs, construction industry leaders, and well-known angel investors. The London R&D Team: Be an Engineering Founding Member This is a unique opportunity to join a small team of highly talented individuals and be a founding member of our new London R&D division. You won't just be joining a team; you'll be the first to help build and shape it. As a Senior Backend Developer, you will: • Design & Scale Core Pipelines: Architect, implement, and deploy our complex, highly-scalable data processing pipeline focused on analyzing massive amounts of data., • Tackle Diverse Data Challenges: Work hands-on with vast construction data—ranging from scheduling and BIM to video processing and 3D model analysis. Architect and integrate various Computer Vision and data processing algorithms into a robust, cloud-based production environment to generate unique insights., • Ensure Performance: Maintain a relentless focus on performance, reliability, and scalability as you process data from real-world construction sites globally., • Tech Stack Focus: Develop primarily using Python in a modern cloud infrastructure (AWS preferred)., • Drive Company Success: Tackle complex, real-world engineering challenges that directly influence the company’s product maturity and market success. About You • A seasoned backend engineer (8+ years) with strong Python experience., • BSc. in Computer Science/Electrical Engineering, or equivalent., • Proven expertise in large scale systems, specifically focusing on backend development, systems architecture, and high-volume data processing., • Experience with high-performance, decentralized code development, and parallel processing., • Comfortable working in a dynamic environment where your architectural decisions have company-wide impact., • Have a proven track record of being a collaborative team player!, • Skilled in AWS, Docker/Kubernetes, and message queuing/streaming systems (SQS, Kafka, or RabbitMQ)., • You care deeply about writing clean, testable code and building observable systems (monitoring, logging, metrics)., • Experienced with CI/CD, observability, and cloud-native design., • Experience with Databases (relational and/or NoSQL)., • Experience with 3D rendering or Computer Vision domains — advantage., • *By submitting your application, you agree that Buildots will process your personal data in accordance with ___

Platform Engineer – Trading London (3 days/week) | £150k + significant equity The mission Join an early-stage, VC-backed startup building a trading platform for GPU. Users hedge and speculate on spot prices like any financial market, backed by top-tier investors (including Anthropic backers) and founders from MIT, Cambridge, Oxford. The role This is a greenfield platform engineering role with complete ownership over the core architecture. You'll design and build the systems powering real-time trading from the ground up, working directly with exceptional founders on one of the most ambitious infrastructure challenges at the AI/compute-financial markets intersection. Clear path to VP/CTO leadership. What you’ll do • Architect the full platform stack (Python, TypeScript, Golang) handling trading engine, pricing models, hedging mechanisms and marketplace functionality., • Build scalable, low-latency systems for real-time order matching, risk management and market data distribution., • Design resilient infrastructure that can handle massive compute trading volumes with 24/7 reliability., • Integrate with compute providers, exchanges and financial protocols while maintaining strict security and compliance., • Collaborate directly with founders on technical roadmap, hiring strategy and product evolution, with full flexibility to introduce new technologies and paradigms. What you bring • Deep platform/distributed systems experience in high-stakes environments (trading, fintech, infra or high-throughput services)., • Strong proficiency across Python/TypeScript/Golang (or equivalent polyglot stacks) with proven ownership of production-grade systems., • Expertise in real-time systems, performance optimisation, fault tolerance and scalable architectures under uncertainty., • Experience with financial protocols, market data feeds, order matching or compute infrastructure is a strong plus., • Thrives in greenfield environments: making architectural trade-offs, shipping fast, iterating based on live feedback. Why you might care • Early-stage opportunity to define a category-leading platform at the nexus of AI compute economics and financial markets., • £150k base + substantial equity upside with world-class founders and elite VC backing., • London-based, hands-on technical leadership role tackling novel problems with brilliant minds and rapid impact.

* Data Engineer - Hybrid in London - Life Sciences Organisation - Permanent * Are you ready to shape a secure, scalable, and modern cloud platform designed to power advanced scientific and data-driven work? Planet Pharma are looking for a Data Engineer to lead the development of an Azure-centric environment that supports data science, machine learning, and high-performance compute workloads. About the Role In this role, you will design and manage an Azure-first cloud estate—ensuring it is secure, compliant, cost-effective, and high-performing. You’ll architect Trusted Research Environments (TREs), build repeatable infrastructure using Terraform and CI/CD pipelines, and collaborate closely with data engineering and scientific teams to deliver robust compute capabilities. You’ll play a key part in driving cloud strategy, embedding strong governance practices, and delivering enterprise-grade architectures aligned with modern data platform principles. Key Responsibilities • Design and implement Azure cloud infrastructure, including networking, identity, storage, Kubernetes, and HPC solutions., • Architect and manage secure Trusted Research Environments (TREs) in line with governance and safe data principles., • Provide compute solutions for bioinformatics, ML, and data-intensive workloads., • Drive automation using Terraform, Azure DevOps, and CI/CD pipelines., • Embed security, compliance, and observability across all cloud components., • Collaborate with cross-functional teams to align cloud architecture with data platform strategy., • Mentor engineering teams and translate technical requirements into scalable solutions. Essential Experience • Hands-on Azure experience across networking, compute, security, storage, and automation., • Strong Infrastructure-as-Code skills., • Experience designing and delivering modern IT/cloud architectures., • Knowledge of modern data/ML platforms (e.g., Databricks, Azure ML, Synapse, MLflow, Airflow). Desirable • Disaster recovery and cloud security best practices., • Experience in research, life sciences, or health data environments., • Data sharing agreements and DPIAs., • Snowflake experience., • Terraform or Bicep/ARM proficiency., • Azure, AWS, Kubernetes, or security certifications (e.g., AZ-305, AZ-500, CKA/CKS, CISSP, CCSP). Ready to join a high-impact team driving digital transformation? About Planet Pharma: Planet Pharma is an American parented Employment Business/Agency that provides global staffing services with its head-quarters in Chicago and our EMEA regional office located in Central London. We have invested significantly in creating a robust international platform that enables us to work compliantly in 30+ countries with a current network of 2500+ active contractors globally as well as a very strong permanent / direct hire recruitment offering. Our specialist knowledge and close relationships with our clients and the wider industry really makes us unique in our field. Just recently we were recognised by FORBES as the 17th best professional staffing firm, and have won multiple awards from industry accredited bodies for our commitment to excellence and service delivery. We have extensive functional expertise including: Regulatory Affairs, Pharmacovigilance, QA, QC, Submissions experts, Clinical development, Quality, Biostatistics, and Medical Affairs / Writing. We are an equal opportunities Recruitment Business and Agency. We welcome applications from all suitably qualified candidates regardless of their race, sex, disability, religion/belief, sexual orientation or age. Please click ‘apply’ or contact Augustus Chukwuma (Recruitment Team Lead) at Planet Pharma for more information: E:

Founding Backend Engineer | Python, TypeScript, LLMs, RAG | Seed-Funded B2B SaaS | £100,000 - £160,000 + Early Stage Equity | London, Hybrid | Can Sponsor + Relocate The Company We’re supporting a well-funded Seed-stage B2B SaaS startup backed by top-tier European investors. They are automating a traditionally manual, data-heavy operational process that sits at the heart of large online businesses. The platform is already in use with several enterprise customers, and funding has been secured to scale engineering and deliver an AI-driven product roadmap. You’ll be joining very early, working with an experienced founding team who have previously built and scaled well-known tech companies. The next phase is product expansion, deeper automation, and building intelligent systems that turn unstructured data into actionable insights at scale. About the Founding Backend Engineer | Python, TypeScript, LLMs, RAG | Seed-Funded B2B SaaS | £100,000 - £160,000 + Early Stage Equity | London, Hybrid | Can Sponsor + Relocate As the Founding AI Engineer, you will architect and build production-grade AI features into the core platform. The role blends backend engineering, data processing, and practical AI/LLM deployment. Your work may include: • Designing AI-powered workflows for unstructured and semi-structured data, • Building intelligent document processing, matching and extraction, • Developing scalable pipelines and APIs in Python, • Working on retrieval, embeddings, and search, • Productionising LLM-driven features for real customers This is a hands-on engineering role with high ownership. You will collaborate directly with the CTO and founding engineers, and have real influence over architecture, model choice, tooling and product direction. Requirements for Founding Backend Engineer | Python, TypeScript, LLMs, RAG | Seed-Funded B2B SaaS | £100,000 - £160,000 + Early Stage Equity | London, Hybrid | Can Sponsor + Relocate • Strong backend engineering experience (Python preferred), • Experience working with LLMs, NLP or applied machine learning in production, • Understanding of data pipelines, distributed systems or large-scale processing, • Cloud experience (AWS, GCP or Azure), • Comfortable in fast-paced, high-ownership environments, • Excellent communication and product mindset Experience in a startup or scale-up is a strong advantage, but not required if you can demonstrate ownership of end-to-end systems. What’s on Offer for Founding Backend Engineer | Python, TypeScript, LLMs, RAG | Seed-Funded B2B SaaS | £100,000 - £160,000 + Early Stage Equity | London, Hybrid | Can Sponsor + Relocate • Up to £140,000+ salary + meaningful early-stage equity, • Hybrid working, East London office (3-4 days per week), • Chance to shape technical strategy and culture from day one, • Real-world AI problems with paying customers and immediate impact, • Long-term progression into Principal or Head of AI If you’re interested in the Founding Backend Engineer | Python, TypeScript, LLMs, RAG | Seed-Funded B2B SaaS | £100,000 - £160,000 + Early Stage Equity | London, Hybrid | Can Sponsor + Relocate, apply today. If your background fits, we’ll reach out to discuss next steps.

If you need support in completing the application or if you require a different format of this document, please get in touch with at or call TCS London Office number 02031552100 / +44 204 520 2575 with the subject line: “Application Support Request”. Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership. The Role Desktop Support Engineer (DSS) . Required Technical Skill Set : Install, Configure, Maintain and troubleshoot end user desktops, Laptops, Peripherals, Printers...etc. Your responsibilities: • Deskside Support will provide incident and request management support to all end user devices. E.g. Desktop, Laptop, Tablet, Thin-client, Mac, Monitor, Mobile device, VPN Token, Printers, Scanner, etc., • Incident handling: including troubleshooting, break fix; follows incident management process., • Service Requests: Installation, Movement, Addition or Change (IMAC) of new or existing end user device hardware/software component., • Software application support for applications both commercial off the shelf and customer developed., • Perform ICMS and PC sign off on every PC deployment and collection, • Assist in end user support or consultations., • Analyze completed end user device requests and incidents to identify and recommend process improvements and identify any process compliance issues., • Receive, diagnose, assess and resolve Deskside Incidents, • IMAC’s - Prepare new and existing equipment for deployment, • Move existing equipment (PC, notebook, Thin Client, network printer etc.…) and update configurations, as necessary., • Change an existing hardware/software component and verify functionality upon completion, • IMAC Update in CMDB, • Install and configure hardware/software as requested in the IMAC record and verify functionality upon completion (software which could not be installed by SCCM) Your Profile Essential skills/knowledge/experience: • Strong English proficiency and inter personal skills., • Provide incident and request management support to all end user devices. E.g. Desktop, Laptop, Tablet, Thin-client, Mac, Monitor, Mobile device, VPN Token, Printers, Scanner, etc, • Experience in Windows & non-Windows Operating environment, • Installation, Movement, Addition or Change (IMAC) of new or existing end user device hardware/software component., • Provide and maintain warranty/maintenance documentation for Assets, to be included in Operations Manual., • Install, organize, test, maintain, check and troubleshoot end user workstations and interrelated hardware and software., • Provide support to end users relating to hardware and software, computer applications, LAN components and peripherals., • Carry out on-site analysis, identification, and resolution of difficult desktop problems for end users., • Supervise complaint ticketing system and follow timely resolution of all work orders., • Able to configure and use Microsoft Enterprise applications (including SCCM and Active Directory)., • Creation/restoration of images and up gradation of patches using SCCM., • Ability to participate in the design, architect and engineering of software deployments/installation process., • Demonstrated ability to provide user support by means of remote access tools., • Ability to communicate effectively with both Business/Management and Vendor resources & acquire knowledge from them., • Knowledge on Asset management., • Preferred Certifications: MCSA (Win 7 Enterprise Desktop Support) & ITIL Foundation / Intermediate. Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network. We offer health & wellness initiatives and sports events; we are the proud sponsor of the London Marathon. Diversity, Inclusion and Wellbeing Tata Consultancy Services UK&I is committed to meeting the accessibility needs of all individuals in accordance with the UK Equality Act 2010 and the UK Human Rights Act 1998. We welcome and embrace diversity in race, nationality, ethnicity, disability, neurodiversity, gender identity, age, physical ability, gender reassignment, sexual orientation. We are a disability inclusive employer and encourage disabled people to apply for this role. As a Disability Confident Employer, we offer an interview to applicants with disabilities or long-term conditions who meet the minimum criteria for the role. Please email us at if you would like to opt in. If you are an applicant who needs any adjustments to the application process or interview, please contact us at with the subject line: “Adjustment Request” or call TCS London Office 02031552100 / +44 204 520 2575 to request an adjustment. We welcome requests prior to you completing the application and at any stage of the recruitment process.

Role: SRE Skills: Deep Linux, Scripting - Python, DevOps, Kubernetes Salary: £500k Plus Location: London The ideal candidate comes from a top-tier tech environment (FAANG, elite trading, hyperscale infra). They have experience building technology 0→1, owning systems end-to-end, and working close to the metal. They will operate across everything from bare-metal Linux to modern build and observability stacks. Overview Join a core engineering group as Lead Site Reliability Engineer, designing and scaling Linux platforms that underpin ML/AI-driven trading. You will architect and own reliability for massive simulation, HPC, and production workloads—ensuring ultra-reliable, ultra-fast trading systems. This is a hands-on, leadership role focused equally on technical depth, strategic decision-making, and driving platform SRE excellence. Key Responsibilities • Lead SRE practices for Linux platforms powering low-latency, high-throughput trading workloads., • Architect, optimize, and tune Linux for performance, resilience, and minimal latency., • Drive incident response, root cause analysis, and continuous reliability improvement across production systems., • Oversee system automation and reproducibility—build, deploy, and fleet-manage bare-metal Linux and containerized stacks., • Manage and enhance Kubernetes clusters, network configuration, and large-scale orchestration., • Set observability standards; expand monitoring, alerting, and performance metrics across platforms., • Analyze networking, kernel-level performance, and distributed systems—solving core challenges in a multi-petabyte, multi-cluster environment., • Build Python tools for automation, reliability engineering, and performance analysis., • Design highly distributed systems What You Will Work On • Ultra-reliable, high-performance trading infrastructure where every engineering optimization affects performance, • Next-generation simulation and HPC compute pipelines, supporting ML/AI workflows at scale., • Integration and continuous improvement of internal and open-source tools for automation and reliability., • Strategic platform direction: shaping foundational systems for critical infrastructure in an elite trading environment. Team and Culture • Small, autonomous Linux SRE team with direct ownership and impact., • Collaborative engagement with quants, researchers, and trading experts to deliver robust platforms., • A culture built on deep technical ownership, learning, and high standards of performance engineering Apply now for an informal confidential chat!

Job Title: Solutions Engineer Location: London (Hybrid – 3 days per week) Salary: £60,000 + bonus and perks About Our Client Our client is a global network of life-saving technology companies, united by a mission to create a safer, cleaner, and healthier future. Their portfolio of over 40 businesses delivers innovative solutions addressing critical challenges in health, safety, and the environment. They are undertaking an ambitious digital transformation, investing in smart, connected, and data-driven technologies to modernise operations and accelerate innovation. With a presence across Europe, the US, and Asia Pacific, this is an opportunity to join a forward-thinking organisation recognised as one of the UK’s most admired companies. The Role We are seeking a Solutions Engineer to join the Digital Solutions team, working alongside the Senior Solutions Architect. This role blends hands-on software development with strategic advisory, supporting group-wide technology initiatives while helping individual businesses adopt best practices. You’ll design and prototype solutions across cloud, AI, VR/AR, Edge AI, and emerging technologies. Your work will span both operational and customer-facing projects, giving you the chance to apply cutting-edge technology to real-world challenges and make a measurable impact. Key Responsibilities • Collaborate with the Senior Solutions Architect to design scalable, secure, and high-value technical solutions., • Lead and contribute to group-wide initiatives, including the rollout of in-house Generative AI solutions., • Design and build blueprints, proof-of-concepts, and prototypes using cloud services, AI, VR/AR, and Edge AI., • Provide hands-on guidance to operating companies on software development best practices, technology stack selection, DevOps, and CI/CD implementation., • Develop reusable assets such as reference architectures, templates, and playbooks to accelerate adoption and delivery., • Translate business requirements into technical solutions and deliver within agile environments., • Explore emerging technologies, providing demonstrations and guidance to support adoption across the group. Required Experience & Skills • 5+ years of cloud-native development experience, preferably Azure (AWS a plus)., • 5+ years of software engineering experience, mainly in C# and/or Python., • Strong knowledge of cloud services (Azure App Services, Functions, AI Services)., • Proficiency in REST APIs, microservices, and event-driven architectures., • Experience with Git-based version control (GitHub/Azure DevOps) and CI/CD tools (Azure DevOps, GitHub Actions, Jenkins)., • Solid understanding of solution architecture principles and software testing practices., • Experience delivering customer-facing products and supporting the full development lifecycle., • Excellent communication, stakeholder engagement, and advisory skills. Desirable • Experience with Generative AI, LLMs, RAG, LangChain, or Semantic Kernel., • Familiarity with Microsoft Power Platform., • Front-end experience with React, Angular, Vue.js, Flutter, or Progressive Web Apps., • Exposure to edge computing, VR/AR, or robotics. What You’ll Bring • Curiosity and passion for emerging technology., • Strong coding and problem-solving skills combined with a strategic, advisory mindset., • Confidence navigating complex organisations and driving adoption of best practices., • Pragmatic, entrepreneurial approach with a future-focused mindset. Location & Working Pattern This is a full-time, permanent role based in London, with three days per week in the office and occasional travel to other UK sites. Hybrid working arrangements balance collaboration, travel, and home-based work.

About Euphoric Euphoric builds AI-first employee benefits administration software for the world’s largest and most prestigious employers. Born out of Peppy Health — a fast-growing, category-defining Series B startup — we spun out in May 2025 to tackle a far bigger opportunity. Global employers spend $3–5 trillion on benefits every year. It’s their second-largest cost after payroll — yet the entire category is still running on legacy systems and outdated assumptions. The space is primed for transformation: despite its scale, it’s been almost completely overlooked by AI-first startups. Incumbents — including one U.S. heavyweight with $2B+ in annual revenue — are constrained by archaic tech stacks and can’t move fast enough to innovate. And this isn’t just a massive market — it’s genuine “tech for good.” Smarter benefits administration, richer analytics, and clearer communication have the power to directly improve the everyday lives, wellbeing, and financial security of millions of employees worldwide. We’re a sharp, high-velocity team with bold ambitions, obsessed with building category-defining technology and partnering with exceptional people who want their work to truly matter. We closed our seed round in October 2025 and are building from a position of strength with a long cash runway. The Role We are looking for a Lead AI Engineer to drive the technical evolution of our AI-first platform and serve as our resident expert. You won't just be tuning hyperparameters in a notebook; you will be a core software engineer architecting the complex systems that make AI useful in production. In the immediate future, your time will be split between crafting complex AI processing architectures (40%) and hands-on data/backend engineering (40%), with the rest spent doing whatever is needed to ship. As we mature, your focus will shift toward closing the loop: using real-user data to optimize the platform via online evaluation and targeted, data-driven models. What You’ll Do • Architect & Engineer AI Systems: You won’t just call an API; you will build robust processing architectures that leverage off-the-shelf LLMs, RAG pipelines, and context engineering to solve hard problems. You will benchmark these systems rigorously to ensure they actually work, not just "feel" smart., • Build the Backend Foundation: You will spend significant time in Python (FastAPI, SQLAlchemy) building the APIs, data structures, and services that power the product. You are an engineer who ensures the "AI" is delivered on reliable, production-grade rails., • Close the Data Loop: As we launch, you will lead the transition from "zero-shot" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback., • Be a "Full Stack" Partner: While the backend/data is your home, you are willing to jump into the frontend (React/TS) to implement features (AI or not) or debug an integration. You understand that an algorithm isn’t "done" until the user interacts with it successfully., • Mentor & Lead: You will work alongside full-stack engineers, upskilling the team on AI concepts and best practices. You are the "from-the-trenches" expert who helps the team distinguish between Twitter hype and engineering reality., • Strategic Advising: You will help Product and Leadership navigate the map of what’s valuable and what’s possible, steering the roadmap toward features that achieve business impact through data-driven optimization. Skills & Experience • Production Engineering (5+ years): You are a strong software engineer first. You have extensive experience building and maintaining backend services in Python (ideally FastAPI or similar async frameworks) deployed to modern cloud providers (GCP/AWS) or point solutions (Railway, Render, Vercel), • Applied AI Architecture: You have built complex applications using Foundation Models / LLMs. You understand context window management, prompting strategies, and how to chain models together to achieve reliable results., • True ML Fundamentals: You aren't limited to APIs. You have a background in training and evaluating models (TensorFlow/PyTorch/Keras/Scikit-learn) and know when a simple classifier is better than a generative model., • Data Fluency: You understand how to build datasets from scratch (bootstrapping, crowdsourcing) and how to evaluate them (cross-validation, precision/recall, business metrics)., • Team-Oriented Mindset: Strong communication skills for explaining complex ideas to technical and non-technical audiences, and a passion for collaborating within cross-functional teams., • Passion and Pride in Shipping: A do-whatever-it-takes attitude to deliver against important business goals that help the entire team win., • Pragmatic Best Practices: An overarching desire to build efficient, scalable, and maintainable code, while managing the tradeoffs between technical debt and delivery speed. You’d rather ship a heuristic that solves the user's problem today than a perfect model two weeks late. What We Look For We’re a great bunch but we have some "Euph" cultural non-negotiables. To do well here you will: • Thrive in fast-paced, feedback-rich environments, • Take your work seriously, but not yourself, • Be proactive, playful, and deeply curious, • Want to build something that matters, • Be willing to “do what it takes” What You’ll Get • Base salary between £125k-£140k, • Remote-first setup with optional shared work space passes and a hub in London, • Apple devices and the best AI tooling, • Private healthcare via Vitality, • 3% employer pension contribution (min 3% employee contribution), • Meaningful early-stage share opportunities, • 25 days holiday per year, plus bank holidays., • Career rocket fuel - real growth, real ownership, real impact Ready to Join? Hit “apply” and tell us why.

Embedded Linux Software Engineer (Medical Devices & Custom Computing Systems) Are you passionate about building software that powers life-saving technology? Join a multidisciplinary team working on cutting-edge medical devices and custom computing platforms for hospital operating rooms. What You’ll Do • Collaborate with diverse technical teams (application software, embedded systems, computer vision, cloud platforms)., • Develop and productize custom computing and medical-grade devices., • Work closely with hardware teams to build and maintain compatible kernels and drivers., • Architect, develop, test, and debug system services and hardware-dependent applications., • Lead code reviews for embedded software and ensure robust deployments., • Contribute to security and regulatory compliance processes., • Design secure-by-default software for medical-grade systems., • Perform risk analysis, implement mitigations, and support design transfer to manufacturing. What We’re Looking For • BS/MS in Computer, Electrical, or Electronics Engineering (or equivalent)., • Deep experience with Linux device drivers (V4L2/I2C/SPI/UART), kernel tinkering, and device trees., • Strong knowledge of Linux system components (kernels, services, logging, rules)., • Expert in C/C++ and shell scripting., • Experience with custom Linux build systems (Yocto/Buildroot)., • Skilled in system bring-up and hardware integration., • Familiarity with OTA update mechanisms for embedded systems., • Solid understanding of security concepts (hardware root of trust, cryptographic keys)., • Comfortable with Linux diagnostic tools and basic electronics., • Strong communication skills and ability to navigate complexity. Nice to Have • Experience with deployed hardware systems and remote device management., • Python programming skills., • Nvidia platform experience., • Microcontroller development., • AWS and automated testing exposure., • Video processing/streaming expertise., • Background in medical or safety-critical software development. Initial calls will take place in January. Planet Pharma is an equals opportunities Recruitment Business and Agency. We welcome applications from all suitably qualified candidates regardless of their race, sex, disability, religion/belief, sexual orientation, or age.

STEADROCK CAPITAL — AI & SYSTEMS ENGINEER (Graduate / Junior) Location: Mayfair, London Start: Immediate Type: Full-time, In person Compensation: £40,000–£60,000 + discretionary bonus About Steadrock Capital Steadrock is a London-based multifamily office and investment firm operating at the intersection of real estate private equity, AI compute infrastructure, and quantitative finance. We recently acquired 10 Queen’s Gate Place (SW7) for redevelopment into six luxury units (Grade II listed) with a projected GDV materially above £17M. Alongside our real estate strategy, we operate a dedicated AI infrastructure stack centered on an NVIDIA DGX system, used for in-house modelling, automation, and agent development. We are building a small, elite technical team. This role is a core pillar of that team. Role: AI & Systems Engineer. This is a hybrid role blending backend engineering, GPU systems, AI agent development, and automation. You will work directly with the founder, our economics lead, and our quantitative modelling lead. This is not a corporate environment. We move fast, prefer clean architecture, and value people who can think independently. Core Responsibilities You will own the technical backbone of Steadrock's internal systems: • Compute Infrastructure (DGX), • Manage our NVIDIA DGX server (Linux environment, CUDA, system health), • Build, test, and maintain internal APIs (FastAPI/Flask), • Design stable ngrok / reverse-proxy / network connections for remote access, • Optimise GPU utilisation and monitor performance, • AI Agent & Automation Development, • Build internal agents that automate:, • document extraction (PDFs, planning papers, legal documents), • real estate data ingestion, • CV filtering algorithms, • email workflows, • Integrate LLM APIs and vector databases, • Develop pipelines for fine-tuning, embeddings, inference, • Backend & Internal Tools, • Build the “Steadrock OS”: internal dashboards, scheduling tools, risk engines, • Maintain Python codebase, Git repositories, environments, • Connect iPhone/iPad workflows with backend systems, • Data & Real Estate Interfaces, • Compile property listings data, • Build automated comparables engines, • Connect planning documents to structured outputs, • Assist with financial modelling scripts What You Need Technical • Strong Python, • Experience with Linux (Ubuntu), bash, SSH, • Understanding of GPUs, CUDA basics, or willingness to learn fast, • Experience with FastAPI, Flask or similar, • Basic networking knowledge (ports, tunnels, proxies), • SQL or NoSQL experience, • Git disciplinePreferred, • Experience with LLM APIs (OpenAI, Anthropic, DeepSeek, Qwen), • Exposure to Docker or Kubernetes, • Familiarity with cloud providers (AWS/Azure/GCP), • Coursework or experience in ML, transformers, NLP, or distributed systemsBonus (not required), • Interest in real estate, • Interest in finance or quantitative modelling, • Experience building agents (LangChain, LlamaIndex, custom architectures) What We Offer • Work directly with an NVIDIA DGX system, • Build AI systems from the ground up, • Very high autonomy, • Exposure to private equity, high-end real estate development, planning strategy, • Freedom to design architecture as you see fit, • A fast-moving environment with no bureaucracy, • The opportunity to become a foundational technical hire (progression is fast Why This Is a Unique Role This is not a typical graduate software job. It is a rare opportunity to join a small, elite, multi-disciplinary team and: • Build AI systems with real impact, • Architect the compute backbone of a growing multi-family office, • Influence investment analysis, real estate strategy, and automation, • Touch every part of the tech stack, • Grow into a CTO-level position You won’t be maintaining someone else’s stack — you will be building Steadrock’s from scratch. Application Process • CV, • Short Python task (we will send a practical DGX-related challenge), • Technical interview (systems + Python), • Final discussion with the founder Work Location: In person

The Job We are seeking a client focused and collaborative professional with proven experience in the consulting, design and integration of ICT/ELV systems for large-scale projects such as Stadiums, Arenas, Airports, Ports and Conference Centers. We are expecting this role to commence within the next 3 months, and it can be based at either our London or Manchester office. You Are: • Able to sit in a room with owner representatives, technology teams and architects/engineers and have the listening and communication skills, technical knowledge, construction experience, and experience to be able to lead all three groups., • Able to lead solution development and design, leading of internal engineers, along with working independently (when required)., • Able to present to multiple stakeholders., • Hungry to collaborate with colleagues to grow the business., • Technology curious – you want to learn new technology, how it works, how to apply it and test it., • A system thinker – you can think and communicate system integration at physical, network and application level. You Have: • Experience in the design and construction of ICT/ELV systems for large public venues. A designer and project manager with ICT/ELV knowledge of the built environment and experience with all phases of implementation (consulting, design, procurement, build and commissioning)., • A strong understanding and experience of the RIBA process, stages, and expected level of deliverable at each stage. Demonstrating project planning, briefing to technical design task delivery, resource planning, quality control and working within budgets., • Experience of CDM regulations and designer responsibilities., • Experience with Revit, AutoCAD, Bluebeam, Microsoft Office Suite preferred., • Attention to detail, • Industry relevant qualifications/certifications, such as Registered Communications Distribution Designer (RCDD), Electronic/ICT related degree or diploma, • An interest in Sports, either physical or eSports. You believe in ME Engineers' values: • Build Trust & Respect, • We are in this together, • Embrace the challenge., • Be bold and passionate., • Creative problem solvers Key Responsibilities: • Develop/contribute proposals for new projects and participate in project interviews., • Serve as a client's technical owner's representative on certain projects., • Lead consulting and design meetings with clients and architect/engineer or others., • Develop and maintain relationships with key clients., • Provide leadership and subject matter expertise to our large/key projects., • Lead/design advanced ICT/ELV systems and sports specific technologies., • Develop and document ICT/ELV systems (reports, design notes, sketches, presentations, schematic, drawings, models, budget estimation) through distinct phases of design: Briefing | Concepts | Schematic Design | Detailed design., • Worldwide collaboration with different ME Engineers disciplines (such as Building Automation, Audio Visual, Acoustics, Building Information Modelling, Mechanical and Electrical), along with international Architect and Structural Engineers., • Provide Quality Assurance reviews of all projects at all project stages., • Development and training of other team members., • Assist clients through the procurement process (issuing RFP’s, bid review, award recommendations)., • Oversight of contractor low level design, build and commissioning, including site/factory visits, pre-installation, commissioning and tuning., • Continual Education – participation in industry/manufacturer knowledge transfer. Role based: ME Engineers' London Office or Manchester Office Travel: Ad-hoc, short stay (when required, typically UK, Europe and Middle East) Report to Manager: Matrix environment: • Studio Project lead, • ICT/ELV Discipline Lead The Benefits: • Competitive salary depending on experience and skills, • Pension, • Private Health insurance, • Life insurance, • Educational and professional development opportunities, • 23 days’ holiday plus public holidays Why ME? ME is an employee-owned business. Our values and business focus are centred around not only our clients but also providing growth opportunities and a fantastic work environment for our employees. This role provides an opportunity to not only grow your own personal career but also be a part of our exciting and growing business. We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of race, colour, religion, gender, sexual orientation, national origin, disability, or age. Full time position with excellent salary and benefits. Due to the high amount of interest that we receive, we are unfortunately unable to respond to each application individually. Therefore, if you do not hear back from us then you have not been shortlisted for this role

About the Opportunity This is a unique opportunity for a Data Engineer to work at the intersection of cutting-edge technology and elite sports performance. You’ll join a collaborative, high-standard engineering team with a culture built around creativity, innovation, and excellence. In this role, you’ll play a key part in designing and developing scalable data pipelines and infrastructure that directly impacts decision-making at the highest levels of the football world—including performance insights for some of the most well-known footballers in the industry. This is the perfect environment for those passionate about leveraging advanced data engineering to drive real-world results in sports analytics. Key Responsibilities • Architect, design, build, test, and maintain scalable and high-performance data pipelines, • Ensure all systems adhere to best practices for data quality, integrity, and security, • Integrate modern data engineering tools and technologies into cloud-native infrastructure, • Develop tools and solutions to support sports data modeling, analytics, and predictive insights, • Collaborate with data scientists to enable end-to-end data workflows, • Own the architecture and maintenance of a GCP-based data lake/lakehouse environment Your Background • 4+ years of industry experience in Data Engineering roles, • Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins), • Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow (Apache Beam) or similar tools, • Proficiency in data architecture, data modeling, and scalable storage design, • Solid engineering practices: Git and CI/CD for data systems Highly Desirable Skills • GCP Stack: Hands-on expertise with BigQuery, Cloud Storage, Pub/Sub, and orchestrating workflows with Composer or Vertex Pipelines., • Domain Knowledge: Understanding of sports-specific data types (event, tracking, scouting, video), • API Development: Experience building data-centric APIs using FastAPI, especially in serverless environments (e.g., Google App Engine), • Streaming Data: Familiarity with real-time data pipelines and data ingestion at scale, • DevOps/MLOps: Exposure to Terraform, Docker, Kubernetes, and MLOps workflows 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

About Us: We’re a VC-backed stealth-mode company building behavioural AI solutions for the retail industry. Our platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store experience, powering real-time, context-aware interactions in physical retail environments through beautifully engineered mobile experiences. Role: We're looking for an experienced Android Engineer to help with the development of a cutting-edge consumer facing app designed to change the physical in-store shopping experience. You’ll collaborate closely with our team of ML & backend engineers and product to deliver a mobile experience that feels fast, personalised, and deeply responsive to user context. Responsibilities: • Architect and implement Android features that include:, • Real-time & bi-directional communication, • On-device inference using Edge optimised frameworks, • Offline-aware & offline-first UX flows using prefetching, caching, and background sync, • Profile, optimise, and tune the app for low latency, efficient memory usage, and battery performance, • Work closely with AI & ML team members to build context-driven user experiences, • Help define and evolve a robust mobile architecture using modern patterns, • Work closely with design & product to ship polished, scalable user interactions Essential Qualifications: • Experience with real-time protocols (eg. WebSockets gRPC, MQTT, SSE or similar), • Experience with implementing on-device machine learning (eg. PyTorch Mobile, ML Kit, TensorFlow Lite), • Strong understanding of Android performance: lifecycle, coroutines, memory, and threading, • Familiarity with edge-friendly architecture: offline-first, sync queues, reactive flows, • Comfort working in fast-paced, zero-legacy, product-driven environments, • Curiosity about behavioural data, context-aware design, or next-gen retail Nice-to-Haves: • Knowledge and/or Experience with Bluetooth & sensor APIs, • Knowledge and/or Experience working with USB-C connected peripheral devices, • Experience in early-stage product design and MVP development

OtherUniversity (OU) is building the world’s first AI-powered university for degree apprenticeships - a new model of higher education that is faster, smarter, employer-funded, and built for real professional mastery. We are looking for a Lead AI Engineer to join as our founding technical hire. This is a hands-on role: you will design, build, and own the core AI systems that power Prof. T, our 24/7 AI professor. If you want to build something important, ambitious, and first-of-its-kind - this is it. What you'll build As our Lead AI engineer, you will: • Architect and deploy OU’s private Azure OpenAI environment, • Build Prof. T v0.1 — our AI tutor trained on curriculum, assessments, and teaching materials, • Create retrieval and vector-based pipelines (RAG) for structured learning content, • Build internal tools for academics to upload, review, and refine materials, • Work with leadership to define our long-term AI roadmap, • Lay the foundation for adaptive learning, personalised coaching, and automated formative assessment, • Set engineering standards, model safety guidelines, and data governance frameworks, • Help scale the AI stack into a proprietary academic engine used by thousands of learners This is a rare opportunity to shape the technical core of an entire institution. What we’re looking for Essential • Experience with Azure OpenAI, OpenAI, LangChain, or similar frameworks, • Strong Python engineering skills, • Practical experience building RAG systems, embeddings, vector stores, • Comfort with cloud architecture (Azure preferred), • Ability to move fast, prototype, and ship, • Experience building MVPs, internal tools, or early-stage AI products, • Strong understanding of prompt engineering, evaluation, and safety guardrails, • Ownership mindset — you want to build and shape the system, not just take tickets Bonus • Experience with LLM fine-tuning or instruction tuning, • Background in edtech, assessment, apprenticeship systems, or LMS tooling, • Previous startup or founding-engineer experience, • Familiarity with SOC2 / ISO data security practices, • Interest in AI ethics, education, or professional training Who you are You want to build something meaningful. You like small teams, high autonomy, and rapid iteration. You enjoy creating systems, not just writing code. You care about impact, not bureaucracy. You’re energised by the challenge of building the AI foundation of a new kind of university. Why join us • Founding engineer role with massive influence, • Build a globally significant AI education product from scratch, • Work directly with the founder/CEO and academic leadership, • Zero bureaucracy - move fast, own outcomes, ship continuously, • London or Dubai (both supported), • Competitive pay (£7k/month), • Mission-driven organisation with UK non-profit status, • You will create the backbone of a new educational model

Job Summary We’re seeking a Lead GenAI Engineer to join our MLOps team and drive the design, delivery, and integration of impactful Generative AI (GenAI) solutions across the organisation. This is a lead-level individual contributor role, with responsibility for owning and delivering high-value AI solutions from concept through to secure, scalable production deployment. You’ll work across engineering, commercial, and operational teams to develop GenAI tools including retrieval-augmented systems, intelligent assistants, and workflow automation. Your work will be central to embedding GenAI into enterprise platforms, unlocking measurable business outcomes while ensuring maintainability, security, and compliance. Key Responsibilities • Lead the design and delivery of production-grade GenAI solutions using LLMs, RAG, and vector search, optimising prompts, context, and retrieval for accuracy and performance., • Architect and implement GenAI services integrated with enterprise systems and cloud platforms, ensuring scalability, security, and maintainability., • Own the delivery of GenAI applications such as internal support assistants, case handling tools, and commercial automation services., • Deliver solutions from proof-of-concept to production, focused on measurable business value while meeting compliance and performance standards., • Collaborate with cross-functional teams to embed GenAI into operational and commercial workflows as part of wider digital transformation efforts., • Lead technical workshops and enablement sessions to support internal adoption of GenAI tools and practices., • Evaluate GenAI APIs, frameworks, and vendors, advising on architecture, integration strategy, and build-vs-buy decisions., • Implement monitoring and evaluation processes to ensure solution quality, reliability, and continuous improvement., • Partner with security and governance teams to ensure responsible, compliant deployment of GenAI technologies. Skills & Experience • Proven experience leading the development and deployment of GenAI systems in enterprise environments., • Deep hands-on expertise with LLMs, RAG architectures, vector databases, and orchestration frameworks (e.g. LangChain)., • Strong understanding of prompt design, context management, and GenAI-specific risks such as hallucination and data exposure., • Experience integrating GenAI solutions with enterprise systems and cloud platforms (AWS, Azure, or GCP)., • Proven ability to work independently and collaboratively across technical and business teams to deliver outcomes with clear business impact., • Excellent communication and stakeholder engagement skills, particularly in cross-functional environments. Desirable • Background in software engineering, ML engineering, or AI solution architecture., • Familiarity with CI/CD, observability, and MLOps practices that support scalable GenAI deployment., • Experience working in large-scale or regulated enterprise settings., • Proven track record delivering GenAI solutions across knowledge assistants, customer support, commercial automation, and engineering tools., • Understanding of evaluation methods for GenAI in production environments, including user feedback loops, latency tracking, and quality scoring., • Exposure to advanced GenAI orchestration patterns and frameworks such as tool use, memory management, agentic workflows, or Model Context Protocol.

*our client is unable to offer sponsorship - only apply if you have the right to work in the UK Overview Our client is a well-funded startup (c200 people) and readying to scale. They have award-winning solutions in the fast-moving digital advertising space with petabyte scale proprietary data. The Role We're seeking a hands-on Data Engineering Manager to lead a team of Data Engineers and work alongside the Head of Engineering and Principal Data Architect and the Product team. You will join a Product, Data and Engineering org of 50+ people based out of London and NYC and will create the standard for the data practice and ensure best in class design and delivery, working across multiple products covering audience insights, analytics and advertising. You'll be relied upon to get the data stack AI ready, drive innovation and leverage Agentic development where its needed. Technology / Skills requirements • SQL and another language e.g. Python, • ELT/ETL, • CI/CD, • Data Modelling, • Data Architecture, • Data Frameworks, • dbt, • Data processing and orchestration using Airflow or similar, • Google BigQuery or Redshift, • Cloud based services: GCP (preferred) or AWS, • Agentic development frameworks, • Automations About You • 6 years+ experience as a Data Engineer solving complex and scaled data challenges, • 2 years as a manager or mentor or data engineers, • Problem-solver mindset and think creatively with data, • You welcome responsibility and want to shape products, • Can understand business requirements and translate into technical output and vice versa, • Excellent communicator able to distil down complex matters to various stakeholders What's on offer • Work alongside some of the brightest minds and leading advertising technologies, • Shaping the future of online advertising, • A genuinely memorable experience you will look back on fondly, • Health & Wellness package, • Medical Insurance, • Income Protection, • Childcare vouchers, • Gym & Cycle scheme, • Pension, • Life Assurance, • Hybrid working (2-3 days) from a Central London office, • 30+ holidays plus bank holidays (pro-rated), • Lots of one-off and regular treats & socials We're screening & interviewing right away - so apply now if this sounds like you - or get in touch if you know someone that might be more closely suited for a generous referral fee

About the Role Join a pioneering team that’s redefining how AI and cloud-native platforms power front-office trading. We’re hiring a hands-on AI Engineer (AVP level) to help shape the future of our Dart platform, a critical infrastructure that supports Quantitative and Strat developers in building next-generation trading solutions. This is not just another engineering role. You’ll work side-by-side with front-office traders and quants, creating bespoke Generative AI tools that directly impact trading performance. If you’re passionate about building something unique, ahead of the curve, and never done before, this is your chance to make it happen. What You’ll Do You’ll design, build, and innovate across both cloud and on-prem environments, scaling platform capabilities and driving AI adoption: • Architect and develop cutting-edge platform services for AI-driven trading., • Collaborate with internal infra/platform teams to align capabilities and avoid duplication., • Design and implement secure, cost-aware, scalable systems using AWS services and Kubernetes., • Contribute to best practices for AI/ML infrastructure and mentor junior engineers when needed., • Work across organisational boundaries and champion modern engineering trends., • Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling. Tech Stack • Programming: Python (Java familiarity is a plus)., • AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more., • On-Prem: Managed Kubernetes Platform and Hadoop ecosystem. Why This Role is Different • Direct Impact: Build AI tools that traders and quants use daily to optimise strategies., • Creative Freedom: Open collaboration and the chance to bring your ideas to life., • Visibility: Be a big player in a small, high-impact team with exposure across the organisation. What We’re Looking For • 5 – 10 years of experience in software/data engineering, ideally in platform or infra roles., • Strong programming skills in Python; passion for code quality and testing., • Demonstrable experience applying Generative AI concepts (ideally in a front-office/capital market environment), • Experience with AWS services (S3, Glue, Kinesis, Lambda, ECS, IAM, KMS, API Gateway, Step, • Functions, MSK, CloudFormation)., • Experience working in a fast-paced front-office environment in either engineering or analytical roles., • Passion for being hands-on and contributing to a collaborative engineering culture. Nice to Have • Experience with on-prem Hadoop and Kubernetes., • Familiarity with AWS cost management and optimisation tools., • Knowledge of front-office developer workflows in financial services.

Location: London, Mayfair (hybrid, 3 days from office and 2 days from home) Employment Type: Full-time Tech Stack: React, TypeScript, Node.js, SQL Server,CI/CD, GraphQL/REST About the Role We’re looking for a hands-on Software Engineering Lead to help shape the future of our in-house PBSA management platform. You’ll be a pivotal part of our product team, leading the engineering function while actively contributing code and technical solutions. This is not a purely managerial role — you’ll be expected to design, build, and iterate alongside your team, with a strong focus on React and modern frontend practices. Your work will directly impact operations across tenancy management, student engagement, maintenance scheduling, finance workflows, and more. Key Responsibilities • Lead from the front: Architect, develop, and deliver features in our React/TypeScript-based platform., • Shape engineering strategy: Drive code quality, performance, and maintainability across the stack., • Mentor and guide: Support engineers at all levels through coaching, code reviews, and technical direction., • Collaborate cross-functionally: Work closely with product managers, operations leads, and designers to align tech with real-world PBSA needs., • Improve developer experience: Champion CI/CD, testing, observability, and documentation standards., • Champion quality and security: Ensure compliance with internal controls and external regulations (e.g., GDPR). You’ll Be a Great Fit If You… • Are hands-on and still love writing and reviewing code every day., • Bring 10+ years' experience building and scaling full-stack or frontend-heavy web apps., • Are fluent in React, TypeScript, HTML/CSS, and frontend performance optimization., • Understand backend architecture well enough to collaborate effectively (Node.js, Azure SQL, ASP.NET Core, REST/GraphQL)., • Know how to design multi-tenant SaaS or distributed systems., • Care deeply about clean code, DX, reusability, and practical UX., • Can think strategically but move fast like a startup engineer., • Are outcome-driven, not a fan of red tape or waterfall plans. Bonus Experience (Nice to Have) • Exposure to PBSA, property management, or booking systems., • Experience with Next.js, TailwindCSS, or component design systems., • Knowledge of Azure DevOps CI/CD pipelines, • Familiarity with payment integrations, CRM platforms, or accounting platforms. What You’ll Get • £75k to £85k, • 25 days annual leave + bank holidays, • Discretionary bonus, • A say in shaping the future of tech in the PBSA space About Us We’re building software tailored for the operational realities of modern PBSA providers from student onboarding to maintenance scheduling and financial automation. As we scale, we’re investing in engineering as a core discipline, not just a service layer. You'll have autonomy and support to ship real impact, fast.

About Sownd Affects Sownd Affects is developing the world's first Audio Inclusivity Certification Standard. Built on the insight that 30 percent of the population are noise sensitive, we are on a mission to change how people socialise and to inspire venues to build acoustically enhanced spaces that make socialising more enjoyable for everyone, especially the noise sensitive. Our work combines acoustics expertise, behavioural insight and modern software systems to create a new global standard for sound in social spaces. About the Role We are seeking a technically skilled and pragmatic Full Stack Developer to architect and implement the next major phase of our internal operations system. This Back Office platform is critical to the rollout of our audio inclusivity certification and must be reliable, scalable and easy for our team to use. This is a project based contract. We will define a clear set of deliverables and agree a fixed project fee. You will work on your own schedule, with the expectation of being available for at least 2 hours between 10am and 4pm from Monday to Friday for questions or unblockers. Once delivered, there is likely to be ongoing maintenance and iteration work as the product grows. About the Team You Will Work With You will work directly with the founders and our Head of Product. We are a small, fast moving team of experienced tech entrepreneurs who work hands on and are passionate about using AI tools to increase speed and quality across the business. You will also have access to a CTO for occasional guidance, though you will own the build of this Back Office system. This is a high trust, low bureaucracy environment where clarity, autonomy and fast decision making are valued. Key Responsibilities • Architect and implement a Back Office web application using React Admin, • Integrate the Back Office with our main website and ensure reliable backend logic and data flow, • Set up and manage a Postgres database hosted on Supabase for venues, clients, acoustic measurements and certification data, • Define and document a clear and scalable data model that supports all certification and reporting requirements, • Build workflows for ingesting and transforming acoustic engineer reports in PDF or structured formats, • Implement an easy to use data upload mechanism for ongoing ingestion of client information and acoustic measurements, • Implement QR code generation linked to public certification pages, • Ensure the architecture is clean, maintainable and aligned with the required tech stack, • Produce clear documentation and a full handover so the internal team can operate the system confidently, • TypeScript, • Node.js, • Next.js, • React Admin, • PostgreSQL, • Prisma ORM, • Supabase, • TailwindCSS, • Monorepos using tools like TurboRepo or NxRequired Skills and Experience, • Proficiency with TypeScript, Node.js and Next.js, • Experience with relational databases and Prisma ORM, • Experience integrating APIs and building data transformation workflows, • Comfortable working with admin tooling and Back Office style systems, • Ability to work independently with clear communication and fast problem solving, • Pragmatic and comfortable operating in a startup environmentNice to Have, • Experience working with Supabase, • QR code generation and public routing logic, • Knowledge of hosting platforms like Vercel or AWS, • Experience in digital certification, measurement workflows or IoT style integrations, • Experience building admin tools using React Admin or similar Interview Process • Send your CV to careers(at)sownd.co.uk and a short message telling us why you want to work with us and summarising your experience with the listed tech stack, • Short interview, • Project based contract with an agreed fixed fee, • Work on your own schedule with at least 2 hours available between 10am and 4pm, Monday to Friday, • Likely ongoing work as the system grows, • Immediate start and rapid delivery expected, • Remote first, • No recruiters, please

C++ • Python • OpenGL • Blender • Desktop Applications • Games Pipelines London preferred | Full-time | Visa sponsorship available Our Vision From blockbuster films and AAA games to immersive experiences, the demand for photoreal 3D content has never been higher - but creating photorealistic assets is slow, expensive, and manual with no current scalable solution available. At M-XR, our mission is to democratize the creation of high-quality 3D assets and empower brands, studios, and creators to build infinite photo-real 3D experiences. Our proprietary technology Marso allows anyone to capture real-world objects into production-ready photorealistic digital twins with unmatched material (PBR) accuracy - enabling the first real-world PBR capture pipeline that can operate anywhere. Marso is trusted by the most demanding studios in film and gaming. We see the future of 3D as AI-assisted, and we’re building the tech to make that happen. We are creating the world’s highest quality and most comprehensive 3D-PBR data-set and training the next generation of AI models to assist artist workflows. See the result yourself Passcode: scaneverything About the role ✨ We are looking for a Senior Software Engineer to own the 3D asset processing and rendering infrastructure in Marso Measure, our desktop material capture application for Windows. You'll work across the full product from 3D asset support, geometry processing, OpenGL rendering, Blender integration, backend connectivity, to Windows releases. At M-XR we developed Marso Measure as a way to capture real-world PBR material data alongside conventional photogrammetry from simple flash photography. Marso is now actively being used by leading studios, brands & museums to digitize previously unobtainable assets at scale. This gives us one of the most unique and physically accurate 3D datasets in the world and with this data we are developing frontier AI models that will enable new ways to create physically realistic content - at high fidelity and scale. You will be a central part of the core engineering team at a scaling start-up that is re-imagining how content is created for photo-real AAA games and real-time experiences. This role is perfect for a C++ and Python expert that is passionate about 3D graphics, real-time rendering, and VFX/game workflows and wants to work at a startup connecting frontier AI to 3D asset creation. Where you will have impact 🚀 As a Senior Software Engineer you will own the 3D rendering and asset processing systems that power our material estimation technology and ship Marso Measure as the industry standard for material capture in high-end photogrammetry workflows. You will: • Build and scale Marso Measure as a central member of the core engineering team, driving it from internal tool to production-ready desktop application., • Architect and maintain the geometry and rendering modules that underpin our material estimation technology across product and research teams., • Deliver high-performance systems from raw image processing through to OpenGL-based rendering, optimized for high-resolution assets and production workflows. What you will do You'll work as part of the core team establishing Marso Measure as the industry standard for material capture in photogrammetry. Core Ownership • Own the end-to-end 3D geometry and rendering modules and pipelines across product, • Develop and maintain high-performance C++ modules for 3D asset processing, OpenGL rendering, and mesh-camera visibility calculations, • Build Python services for pipeline orchestration, automation, and integration with ML models Cross-Functional Collaboration • Work closely with ML researchers to integrate material estimation models into production pipelines, • Collaborate with the Data Platform team to ensure processing outputs meet quality requirements for training data, • Collaborate across Data and ML and Product teams to deliver and integrate 3D format support, 3D transformations, and render systems. Production & Release • Own the Windows release cycle for core modules, ensuring stability, performance, and quality, • Establish best practices for graphics programming, testing, and performance optimization, • Manage build systems and packaging for desktop distribution What we are looking for Must have • 5+ years of professional C++ development with focus on graphics, rendering, or high-performance computing, • Strong Python skills with experience building production services and tooling, • 3D graphics expertise: OpenGL, shader programming, geometry processing, UV mapping, • Cross-platform build systems: CMake, package management, • Product delivery experience: shipping desktop applications or production tools to end users, • Systems thinking: understanding of performance optimization, memory management, and architectural trade-offs Strong Plus • Experience with Blender Python API or other DCC tool integration, • Knowledge of PBR rendering, material systems, and game engine workflows (Unity/Unreal), • Photogrammetry or computer vision pipeline experience, • Windows desktop development: Electron, IPC, installer creation, • Familiarity with 3D file formats (Alembic, USD, glTF, FBX), • Background in VFX, games, or virtual production workflows, • Experience with ML pipeline integration (PyTorch, model inference optimization) What we offer • The chance to shape the future of 3D content creation in a fast-moving startup, • Direct contact & close relationships with some of the biggest game & film studios globally using M-XR's technology, • Work with passionate engineers, artists, and researchers at the frontier of graphics & AI, • Unique opportunities for professional growth, autonomy, and leadership, • Competitive salary and equity, • Flexible hybrid working, • Visa sponsorship for international candidates We look forward to your application! Best, M-XR Team

Are you up for the challenge of building up a Data function from scratch? Then this greenfield Data Engineer / Architect opportunity with a leading global investment firm could be the perfect fit for you. You'd take full ownership - setting the strategy, defining the architecture, and implementing scalable Azure-based data solutions across the business. It’s a true greenfield environment with plenty of autonomy, visibility, and scope to grow a team as the data capability matures. Tech stack you'll be working with: • SQL and OLTP, OLAP & Spark-based data infrastructure., • Python within Fabric/Synapse environments., • Azure services (Data Lake, Synapse, and Azure DevOps)., • Data modelling, performance tuning, and scalable architecture design., • Microsoft Fabric (Data Factory, Lakehouse, Real-Time Analytics) Aside from an exciting role, you'll also have a competitive basic salary, hybrid working (3 days in the office), generous bonus packages, healthcare, insurance, and more! If you think you could be well-suited to this, I'd love to see you apply below! No up-to-date CV initially required (apply using whatever most recently edited copy you currently have).

Head of Engineering London/Hybrid Total Package - Up to £150k (Basic salary + equity) Build the Product Engine Behind the Next Era of Climate Action If you are an engineering leader who wants your work to shape something with real planetary impact this is a role worth your full attention. numi are partnering with a climate tech company creating the product and data infrastructure that will define how organisations worldwide discover verify procure and manage high integrity carbon removal and nature positive projects. This is not abstract climate work. It is hands on product engineering that becomes part of the real world systems the world will rely on for decades. 🌍 A Product Mission With Global Reach In this role you build the technology that sits at the centre of: • Rich climate and market data, • Scientific verification, • Risk evaluation and due diligence, • Enterprise procurement workflows, • Long horizon climate decision making Your work becomes a core part of how companies make multi billion dollar climate aligned decisions. ⚙️ What You Will Build and Lead This is a hands on product and engineering leadership role. You will ship core systems while shaping the team that builds them. You will lead and contribute directly to: 🚀 Why This Role Stands Out This is the place for someone who enjoys hands on engineering and leadership in equal measure. You will shape architecture write code guide product decisions mentor the team and own delivery. You will work closely with founders and product leaders who value clarity rigour and thoughtful execution. You will thrive here if you enjoy complex data heavy systems if you like working directly with users and product teams if you want full accountability for what gets shipped and if you want to build infrastructure that lasts. You may not enjoy this role if you prefer highly structured environments or if you prefer to stay far removed from hands on engineering or product conversations. 🎯 What Strong Candidates Often Look Like You have built or led engineering in early or growth stage companies. You have grown teams from small groups to healthy product engineering organisations. You have designed or scaled data platforms workflow tools or systems with high integrity requirements. You write and review code with care. You think clearly you ship reliably and others trust your leadership. You do not need to come from the climate world. Curiosity and depth of learning matter more. 📈 What You Will Deliver in Your First Year Within one year you will have built a capable engineering team strengthened the product architecture shipped features that matter to global customers increased platform reliability and user trust partnered closely with product and data teams and established a strong engineering culture. Technical Stack Experience Includes: • Python, • Typescript, • React, • AI, • Fast API's Apply direct or email