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We are a small London startup with the ambition to change education with ML-powered tutoring. Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone. We are building a fundamental model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Lead ML Engineer, with a proven track record of delivering ML models to production, to own the ML team in our growing company. What you will do 🚀 • Build fundamental models for education - solving the ultimate learning task of predicting student knowledge and optimal ‘next task’, • Work with a vast amount of unique data - we have data from over 1M language tests, including text and voice data, • Create brand new dictionaries, applicable to any context - right now it’s the English language, but in the future it could be other languages or even subjects such as Mathematics, • Analyse large amounts of diverse data - including data from every movie, book, and song, • Work in a cross-functional team and communicate with backend engineers and product managers, • Create new types of tests for language learners to gather more test results, analyse them, and build prediction models based on these results, • Optimise and fine-tune machine learning models for performance, scalability, and accuracy, • Lead our ‘AI Powered Education’ meet-up in London, building a network of ML specialists Essential skills 🙏 • Experience leading and mentoring other ML engineers, • Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production, • Experience taking complete ownership of entire ML systems and data pipelines in large-scale production systems, • Experience building automated data pipelines, • Strong understanding of CI/CD pipelines and automation tools for efficient model deployment and monitoring, • Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers, • Great knowledge of NLP algorithms, • Expertise in Python and PyTorch Desirable Skills 👌 • Can speak, or learning to speak, more than one language, • Experience with reinforcement learning, • Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.), • Experience using voice data in ML models What we can offer ✨ • Lead an ML team that will become the leading specialists in ML-powered education, • A real-deal startup adventure: you'll be hopping on a major project while it's still in the works!, • Freedom to suggest, implement, and test ideas, • Unlimited learning & development budget (courses, conferences, books etc.), • Lunch provided by the company every day, • Regular social events, • 25 days annual leave + public holidays, • Work from our London office Interview Process 🧪 • 3 interviews, which will be mixture of technical and non-technical tasks, • If all the interviews are successful, we’d like to invite you to 2 or 3 paid trial days, or to complete short project remotely with us, to learn what it’s like to work at Glite

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. Vision In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilisation. Solution As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs. We are now looking for a Lead Full Stack Software Engineer with a strong frontend focus to help design and build a modern, web-based platform for managing and monitoring our robots and systems. While we operate in the robotics space, no prior robotics experience is required. What You’ll Do: • Design and implement a centralised web-based platform for controlling robots, managing lab operations, monitoring system health, and visualising KPIs using modern front-end frameworks like React., • Develop robust backend services to support the platform, including APIs for communication, data management, and integrations with robotic systems., • Build lightweight software services that run on the robots, enabling remote control, data collection, diagnostics, and state management., • Integrate Human Interface Devices (HID) such as game controllers or joysticks to provide intuitive, low-latency remote control over robot movements and actions., • Streamline and automate workflows, including software deployment, performance monitoring, and diagnostics, to enhance reliability and efficiency., • Implement testing pipelines to validate the functionality of the UI, backend, robot-side services, and HID-driven control flows., • Ensure smooth communication and functionality between the platform, backend services, robot-side services, hardware systems, and HID controllers., • Maintain clear and detailed documentation of tools, processes, and best practices to support team knowledge and future development. We’re Looking For: • Solid experience with Python for backend development and API creation., • Strong experience with React (or similar frameworks) for creating user-friendly and scalable web applications., • Expertise in API development, data handling, and creating scalable service architectures., • Proficiency with CI/CD pipelines, containerisation (e.g., Docker, Kubernetes), and workflow automation., • Understanding of network protocols and secure data exchange between services., • Experience integrating HID devices (e.g., game controllers, joysticks, motion controllers) into robotics or hardware control pipelines., • Excellent skills in diagnosing and resolving technical challenges across integrated systems. Nice-to-have • Experience with real-time system monitoring and diagnostics., • Experience with Node.js or TypeScript., • Knowledge of distributed systems and scalable application design., • Familiarity with designing platforms for managing interconnected devices or hardware., • Awareness of latency considerations and best practices when implementing HID-based control over networked systems. What We Offer: • Competitive salary plus participation in our Stock Option Plan, • Paid vacation and travel opportunities to our London, Vancouver, and Boston offices, • Office perks: free breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

Welcome to the video first world From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content. Today, people want to watch and listen, not read — both at home and at work. If you’re reading this and nodding, check out our______. Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now…. Meet Synthesia We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read______ and what______. In February 2024, G2 named us as the fastest growing company in the world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: As a Research Engineer you will join a team of 40+ Researchers and Engineers within the R&D Department working on cutting edge challenges in the Generative AI space, with a focus on creating highly realistic, emotional and life-like Synthetic humans through text-to-video. Within the team you’ll have the opportunity to work on the applied side of our research efforts and directly impact our solutions that are used worldwide by over 55,000 businesses. If you are an expert in post-training Diffusion models for generative AI, this is your chance. This is an opportunity to work for a company that is impacting businesses at a rapid pace across the globe. In this position, you’ll join our Post-Training Team that works on generative video creation. You will make it possible to apply our foundational models to production use cases. This includes projects such as: • Apply DPO (direct preference optimisation) to pre-trained models., • Adapt models to extend their capabilities, for instance, by changing conditioning inputs., • Build solutions for dubbing and evaluate the quality of lip-sync., • Implement post-training optimization techniques, such as quantization, pruning and distillation, to improve the efficiency of diffusion models used in avatar generation., • Analyze and address challenges related to model performance, ensuring high-quality output in avatar rendering., • Stay updated with the latest research and advancements in diffusion models, adversarial networks and post-training optimization methods. What we're looking for: • You have a background in Computer Vision / Computer Science and 3+ years of industry experience., • You have knowledge of recent advancements in post-training techniques. (for instance distillation, adversarial networks and efficient attention), • You have worked with generative models for images and/or videos (Diffusion/GAN) preferably in the avatar domain., • You are interested in doing research, trying new things and pushing the boundaries, going beyond what’s already known., • You have experience in using most modern frameworks for machine learning and deep learning., • You have great coding skills in Python and you care about writing clean code., • You have experience with SDLC tools (Git), preferably CI/CD Why join us? We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why, Our culture At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. ___ Serving 50,000+ customers (and 50% of the Fortune 500) We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read ___ and what ___. Proprietary AI technology Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about ___ AI Safety, Ethics and Security AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always. Learn more about ___. The good stuff... • Competitive compensation (salary + stock options + bonus), • Hybrid work setting with an office in London, Amsterdam, Zurich, Munich, or remote in Europe., • 25 days of annual leave + public holidays, • Great company culture with the option to join regular planning and socials at our hubs

Crossing Hurdles is a recruitment firm. We refer top candidates to our partners working with the world’s leading AI research labs and fast-growing startups to help build cutting-edge technology. Role: LLM - Sr. Software Engineer – LLM Evaluation & Repository Validation Type of Role: Short-term Contract Engagement Duration: 1 month (with possible extensions) Commitment: 10–40 hrs/week (flexible, partial PST overlap required) Start Date: Immediate Rate Range: $80–$125/hour Project Overview We’re building high-quality evaluation and training datasets to improve how Large Language Models (LLMs) interact with realistic software engineering tasks. Engineers will work on diverse projects such as enabling models to traverse complex code bases or building agents that boost model performance. Role Overview — What Does a Typical Day Look Like? • Work across multiple projects aimed at improving LLM performance on code., • Lead and deliver end-to-end agent use cases (e.g., home automation agents, coding copilots, creative design assistants)., • Collaborate with the team to identify edge cases and ambiguities in model behavior., • Review and compare 3–4 model-generated code responses per task using a structured ranking system., • Evaluate code diffs for correctness, quality, style, and efficiency., • Provide clear, structured rationales for evaluation decisions. Required Skills & Experience • Several years of software engineering experience, including 1+ continuous years at product companies, • Strong expertise in Rust development and deploying scalable, production-grade software., • Deep understanding of software architecture, debugging, and code quality assessment., • Proven ability to review code diffs and evaluate correctness, maintainability, and efficiency., • Proficiency in backend languages (Java, Rust, Go, Node, Python, C++) and frontend frameworks (Typescript, JavaScript, React, Vue, Angular, jQuery)., • Excellent oral and written communication skills. P.S. After applying, within 1–2 days, you will hear from us via email and LinkedIn InMail, so please keep track of it.

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. Vision In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization. Solution As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs. About the Role We are developing a next-generation humanoid robot using a simulation-first, capability-driven approach to hardware design. As a Capability Simulation & Control Engineer, your mission is to analyze and characterize the limits of our robotic platforms - before they are built. You will sit at the intersection of simulation, control, and hardware design, enabling rapid iteration cycles by ensuring we understand the physical and algorithmic feasibility of each design decision. Your focus will be to define, simulate, and validate robotic capabilities - such as reachability, dynamic balance, force/torque limits, manipulability, workspace optimization, and sensor placement - under real-world constraints. The insights you generate will directly inform mechanical design, sensor layout, and control interface development. Key Responsibilities: Capability Evaluation & Simulation • Develop tools and pipelines to analyze and visualize platform capabilities (e.g., kinematic reach, manipulability maps, dynamic feasibility, joint torque-speed curves)., • Integrate dynamic and quasi-static evaluations of locomotion, manipulation, and perception effectiveness into the simulation loop., • Incorporate model-based and learning-based methods to evaluate adaptive capabilities under uncertainty Hardware Design Feedback Loop • Provide actionable quantitative insights to inform joint placement, limb proportions, mass distribution, sensor positioning, actuator sizing, and other HW design variables., • Work closely with mechanical engineers, control developers, and perception experts to co-design simulation tasks that expose key tradeoffs and performance bottlenecks. Test Scenario & Pipeline Development • Design and implement reusable test scenarios for various hardware configurations and use cases., • Automate performance reporting and limit detection in the context of control performance, perception accuracy, and stability. Model Fidelity & Integration • Ensure that models used for capability analysis reflect sufficient physical realism without slowing iteration cycles., • Collaborate with simulation experts to incorporate contact models, compliance, and actuator characteristics into the testing loop. Design Exploration • Support rapid evaluation of alternate hardware morphologies by stress-testing capabilities through scripted benchmarks or learned behaviors., • Develop visual and quantitative design-space exploration tools to help prioritize tradeoffs across competing metrics (e.g., power consumption vs workspace). Requirements: • M.Sc. or Ph.D. in Robotics, Mechanical Engineering, Control Systems, or a related field., • Solid foundation in robot kinematics, dynamics, and control., • Proficient in simulation environments such as MuJoCo and Isaac Sim, or custom tools., • Experience evaluating or optimizing robotic systems for capability limits (reach, manipulability, torque-speed, dynamic stability)., • Familiarity with optimization tools and version control for collaborative pipelines., • Strong software skills (Python and/or C++; experience with ROS or similar frameworks)., • Ability to communicate technical results to multidisciplinary teams and influence design decisions. Nice-to-Have: • Familiarity with whole-body control, redundancy resolution, or torque-controlled platforms., • Experience with optimization and design-space exploration., • Exposure to hardware-in-the-loop simulation or perceptual simulation., • Hands-on experience with humanoid or bipedal platforms, including torque-controlled systems What We Offer: • Competitive salary plus participation in our Stock Option Plan, • Paid vacation and travel opportunities to our London, Vancouver, and Boston offices, • Office perks: free breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

For Racers & Builders – Join Pre-Funding as a Founding Engineer -- EQUITY ONLY UNTIL FUNDING -- Tired of building yet another corporate tool, banking app, or security compliance dashboard? If you have always been thinking you should co-found a product you can truly own and shape, this is your chance. At XRACEAI, we’re creating a next-generation sport-tech platform that fuses AI, racing telemetry, and immersive visualisation to transform how drivers learn, perform, and compete. The product has been thoroughly validated with real users who have a strong interest and an average NPS score of 8-9. Your Role: As our Founding Full Stack Engineer, you will own the end-to-end engineering of XRACEAI — from data pipelines to AI integration, from cloud infrastructure to frontend experiences. You’ll work directly with the founder/CEO. We’ve already onboarded top talent across Product, creative, and Racing domains — now we’re looking for the technical backbone to complete the founding team. You’ll wear multiple hats: backend engineer, frontend developer, architect, DevOps, and data engineer- This is not a regular job. It’s a founding opportunity for someone who lives and breathes racing and wants to build something meaningful from the ground up. If you’re looking to test the ground and walk away, this isn’t for you. If you want to own a piece of the next evolution of racing tech, read on. What we offer: • Founding Role & Equity: Significant ownership in XRACEAI - generous equity, negotiable based on experience, network, and milestone delivery., • Compensation: This is an EQUITY ONLY AT START (NO SALARY). A competitive salary will kick in once we close our first fundraising round within 3 to 6 months., • Strong opportunity to progress into CTO/Co-Founder, with equity progression. Strong opportunity to fully define and own the technical strategy, roadmap and infra scalability., • Full remote. You can work from anywhere with flexible hours., • Autonomy & Trust: Lead tech direction, make architectural decisions., • Community: Work with racing pros, esports drivers, and cutting-edge XR/AI. What We’re Looking For: • Full Stack Engineering Experience (5+ years, ideally startup or gaming/immersive/AI)., • Strong experience with real-time databases, data telemetry, and scalable backend systems., • Strong backend expertise (Node.js, Python, Postgres/Supabase, REST/WebSockets)., • Strong frontend skills (React/Next.js, TypeScript, Tailwind)., • Comfort with 3D/real-time visualization frameworks (WebGL,Three.js), • Familiarity with AI/ML integrations (OpenAI, Gemini, RAG pipelines, MCPs, AI scalability)., • Experience with cloud/infra (Supabase, AWS, GCP, Vercel, Supabase)., • Ability to ship fast, learn, and iterate in a scrappy environment., • Passion for motorsport, sim racing, or gaming. What You’ll Do • Product Development, • Architect and build the XRACEAI platform (frontend, backend, infra)., • Integrate real-time telemetry pipelines (UDP/data, Supabase/Postgres)., • Develop AI/ML integrations for lap analysis and coaching insights., • Build web apps (React/Next.js, PlayCanvas/Unity for 3D visualization)., • Infrastructure & DevOps, • Set up scalable cloud infrastructure (AWS/GCP/Vercel/Supabase)., • Ensure low-latency data capture (<100ms from console/PC to cloud)., • Manage APIs, database schema, RLS policies, and real-time updates., • Engineering Leadership, • Contribute in the definition of technical roadmap and milestones., • Establish coding standards, testing, and CI/CD pipelines., • Hire and mentor future engineers as the team grows., • Collaboration & Vision, • Work closely with design, product, and racing experts., • Translate product vision into a clear and scalable technical strategy., • Contribute to fundraising and investor conversations when needed. This is an equity-based role in a project with validated market traction and user feedback. If you’re not in a position to commit during the pre-seed development phase, please be mindful of everyone’s time and energy.

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. Vision In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization. Solution As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs. We’re looking for a hands-on, AI-native technical project manager to act as the founder’s personal CTO. This is not a traditional CTO role - it’s a unique opportunity to drive AI-first innovation, organize strategic assets, and ensure advanced AI agents play a central role in company decision-making and execution. Key Responsibilities: • Act as the founder’s technical right hand, managing AI tools, projects, and strategic implementation., • Lead the integration and application of AI agents and large models (e.g., GPT, Gemini) within the company., • Ensure AI has a seat at the table in strategic meetings — not just for automation, but for idea generation and innovation., • Systematize knowledge and data flows: organize presentations, internal documents, and memory systems to support long-term thinking and project continuity., • Build and manage internal tools that improve productivity through intelligent automation and smart use of context and memory features. Ideal Candidate: Candidates may come from a range of roles that combine product sense, technical execution, and deep familiarity with AI tooling, such as: • AI/ML Product Manager or Technical Product Owner in a startup or tech company, with hands-on involvement in model integration or intelligent systems., • Technical Founder or Co-Founder of an AI-focused startup, especially those working with LLMs or autonomous agents., • Prompt Engineer, LLM Integrator, or Applied AI Specialist — particularly those who have built agent-like systems, custom pipelines, or worked with memory/context-based tooling., • Freelancers, consultants, or community contributors in the AI/LLM ecosystem are also welcome if they meet the technical and strategic criteria. What this role is: A forward-thinking technical thought partner and builder focused on embedding AI into every layer of the company’s decision-making process. What this role is not: A traditional enterprise CTO. This is a dynamic, execution-heavy role closer to a personal AI project lead than a C-suite executive.

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. About The Role As a Senior Robotics Prototype Engineer on the Core Platform team, you will rapidly iterate, assemble, diagnose, and evolve advanced robotic platforms for real-world use. In this hands-on role, you’ll drive results across the full hardware lifecycle—concepting, prototyping, root-cause analysis, documentation, and field repair—with a strong emphasis on reliability and repeatable processes. What You’ll Do • Lead troubleshooting and resolution of complex electrical issues in prototype humanoid robots, including operational and in-development systems; perform detailed failure analysis and share learnings with hardware/software engineering teams., • Collaborate closely with multidisciplinary engineers on prototype design, assembly, and bring-up, especially high-density electromechanical integrations., • Create, maintain, and execute clear test procedures, troubleshooting guides, and repair runbooks for the prototyping lab to ensure high standards and rapid iteration cycles., • Design, document, and iterate on cable assemblies, test jigs, and harnesses optimized for repeated use on dynamic robotic platforms., • Identify and own opportunities for continuous process and product improvement—minimizing downtime and improving test/repair efficiency., • Contribute to robust feedback loops across design, build, and test, driving first-pass yield and manufacturability. We’re Looking For: • Demonstrated experience in rapid physical prototyping, hands-on debug of custom hardware, and troubleshooting complex electrical systems in robotics or similar domains., • Working knowledge of low-voltage and mixed-signal circuits, connectors, sensors, and compact electromechanical systems., • Track record communicating concisely via documentation—procedures, test plans, diagnostics, and lessons learned., • Adept collaborating across mechanical, electrical, and software engineering boundaries to solve urgent, ambiguous issues., • Experience designing for manufacturability and reliability in the context of human-sized or mobile robotics., • Familiarity with automated test and diagnostic tools used in modern hardware labs., • Prior mentoring or technical leadership responsibility within a prototyping or field engineering team. What We Offer • Competitive salary plus participation in our Stock Option Plan, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Office perks: free breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

Ocean Orchestra - Senior Full Stack Engineer At a glance : 💰 £75–95K + equity 🌍 Climate tech with global impact 🛠 Early engineer, greenfield build 🏠 Remote-first UK + London office a few days 🎯 Autonomy, ownership, and direct impact About the Company Founded in January 2025, Ocean Orchestra aims to be a generational force for good in ocean conservation and the ocean economy. Backed by leading SaaS, FinTech and Climate investors, this is an opportunity to apply modern tech to a huge global challenge. Oceans are 71% of our planet and central to climate health, yet receive only a fraction of the world’s investment, technology, and AI innovation. Ocean Orchestra is changing that. Our founding team — ___ , ___ and others [we can happily introduce the other co-founder live; she’s amazing] — have built businesses to global scale. Now, we’re focused on creating lasting, positive change for our planet. About the Role 💰 Salary: £75K-£95K 📈 Equity: Real ownership, significant upside potential. 📍 Location: Remote-first overall, with regular in-person days in our London Victoria office. Wider remote or hybrid options very much available, with flexible arrangements for the right candidate. We have an office in London , for anyone who wants to work in an office. 🤝 Inclusion: We actively welcome applications from candidates of all backgrounds, experiences, and identities. We care about you - your skills, your values, your potential - what you can do, what you want to do, how you work, how you want to work. We believe diverse perspectives are essential to solving global challenges, so we're building a team that reflects the great diversity of our real customers and users across the world. What You’ll Do • Own our engineering stack from MVP to scale — backend, frontend, infra., • Design architecture, choose tools, and set engineering standards., • Work directly with early users to iterate quickly., • Collaborate with the founding team on strategy, hiring, and scaling the tech team., • 5+ years of backend expertise in Go including API design, microservices architecture, gRPC/REST services, and database design (PostgreSQL, Redis)., • Frontend proficiency with React/Next.js, responsive design, and modern JavaScript/TypeScript, • Cloud infrastructure knowledge including AWS services, CI/CD pipelines, and DevOps practices., • System architecture experience designing scalable, maintainable applications from ground up., • Experience in building scalable maintainable low latency SaaS products., • A track record of thriving in fast-moving environments that are full of ambiguity and opportunity., • Expert in solving deep technical problems with customer outcomes top of mind., • Ability to evaluate and make decisions based on a balanced assessment of key factors, including design, scalability, performance, technical debt and cost efficiency., • Working highly collaboratively in a team environment. What We Offer Professional Impact & Growth • Build a high-impact platform from emerging MVP to global scale., • Lead innovation tackling one of the world’s most urgent climate challenges., • Shape both the tech and the company’s culture, processes, and values., • Flexible work arrangements designed around your productivity and life (we really mean this)., • 25 days holiday plus public holidays (on top)., • Pension scheme with company contributions., • Professional development budget (for conferences and growth; we want to invest in you)., • Regular team events and retreats (to help us continually grow together). We’d love to hear from you directly. (No recruiters please, thank you!) . Please email with: 1. Your CV, profile, or anything that shows your best technical and teamwork., 2. A few sentences on why this opportunity speaks to you (no need to write a long response). Ocean Orchestra is an equal opportunity employer, highly committed to diversity and inclusion.

Location: London – Hybrid (2-3 days/week onsite, plus client visits). Salary: From £90,000 + bonus, negotiable. Term: Permanent / Full-time (flexible working arrangements). About the Company Our client is a next-generation Data & AI consultancy, supporting clients across data, AI, and cloud to build scalable, modern platforms while developing the next generation of tech leaders. They are known for their collaborative culture, focus on learning, and delivery of innovative data solutions. The Role We’re seeking a Snowflake Centre of Excellence Lead to be the technical authority on all things Snowflake. In this hands-on role, you’ll: • Establish and lead the Snowflake Centre of Excellence., • Develop Snowflake IP, including best practices, accelerators, frameworks, and reference architectures., • Provide technical assurance and leadership across delivery projects., • Support pre-sales activities, thought leadership, and client advisory., • Explore Snowflake’s app development and integrations to power new business offerings., • Collaborate with colleagues to design repeatable Snowflake-based solutions. Skills & Experience Essential: • Extensive hands-on experience designing and delivering Snowflake solutions, including Snowpipe, Streams & Tasks, Data Sharing, Native Apps, Snowpark, Data Clean Rooms, and Cortex., • Track record of training and upskilling colleagues or clients in Snowflake., • Recognised Snowflake certifications (SnowPro Core, SnowPro Advanced: Architect/Data Engineer)., • Experience optimising Snowflake performance and cost., • Solid understanding of software engineering lifecycles and modern development practices (Python or similar)., • Experience leading multidisciplinary data teams in consulting or enterprise environments., • Excellent communication skills with technical and non-technical stakeholders. Desirable: • Experience with other modern data platforms (Databricks, Azure, AWS, GCP)., • Experience with platform observability and CI/CD for data platforms., • Hands-on experience with tools like dbt, Fivetran, Matillion, or Airflow., • Experience supporting pre-sales activities in a consultancy or product business. Why Join? • Work with cutting-edge data and AI technology., • Collaborate with passionate, high-performing teams., • Shape the future of Snowflake delivery at a market-leading consultancy., • Hybrid working with flexible arrangements and equity options.

Senior Software Engineer II – ML Platform & GenAI (relocation to dubai) Location: Dubai, United Arab Emirates As part of the Machine Learning Platform & Generative AI Applications team, this role sits at the intersection of engineering, data science, and product development. The team builds the foundational tools that power intelligent and engaging user experiences across multiple business verticals. This is an exciting opportunity for a Senior Software Engineer with expertise in GenAI and platform engineering to contribute as a hands-on technical leader. You will help shape the next generation of AI-driven services by building scalable infrastructure and driving innovative applications from concept to production. Key Responsibilities • Design and implement scalable services, APIs, and workflows to support GenAI-driven feature development., • Collaborate on flagship GenAI applications, such as:, • Retrieval-Augmented Generation (RAG) powered support systems, • AI copilots for partners or drivers, • Marketplace-level forecasting and decision-support tools, • Define and evolve platform architecture to ensure reliability, scalability, cost-efficiency, and security., • Build platform capabilities such as:, • Prompt versioning, • Evaluation dashboards, • Real-time user feedback systems, • Promote MLOps best practices and responsible AI by establishing robust monitoring, guardrails, and launch protocols., • Mentor team members and contribute to a culture of engineering excellence through code reviews, workshops, and knowledge sharing., • Collaborate with cross-functional teams including product managers, designers, and data scientists to translate high-level ideas into executable engineering tasks. Qualifications & Requirements • 7+ years of professional experience in software engineering with strong design principles and system architecture knowledge., • Proficiency in programming languages such as Python, Java, Go, or similar., • Experience working with Generative AI and ML infrastructure, including:, • Fine-tuning transformer models, • Managing embeddings, • Building RAG pipelines, • Familiarity with vector databases (e.g., Pinecone, Milvus, Weaviate) and semantic search techniques., • Strong foundation in cloud infrastructure, networking, security, CI/CD pipelines, and observability., • Experience with cloud platforms (AWS, GCP, etc.) or database internals., • Proven track record of delivering end-to-end projects and mentoring engineers., • Direct experience with ML platforms and MLOps is required.

Founding Machine Learning Engineer £140,000 - £160,000 + Equity 3 days minimum in Central London Opus are hiring on behalf of a fast-growing, Y Combinator-backed start-up that’s redefining how financial data is processed and understood. Operating at the intersection of AI and enterprise infrastructure, this company is building intelligent systems that extract meaning from complex, unstructured documents at scale. Their platform is already trusted by leading firms in the alternative investment space, and they’re now expanding their machine learning team to accelerate innovation. This is not a research role. It’s a high-impact product engineering role in forward-deployed style where your work ships into production and is used by customers daily. Key Requirements Candidates should bring a minimum of five years’ experience in machine learning engineering, with demonstrable expertise in: • Natural Language Processing (NLP), information extraction, and working with large language models (LLMs), • Python programming and major ML frameworks such as PyTorch or TensorFlow, • MLOps practices including containerisation (Docker), orchestration (Kubernetes), and CI/CD pipelines tailored for ML workflows, • Utilising AI-enhanced development environments and tools to streamline experimentation and deployment, • Cross-functional collaboration with engineering, product, and business stakeholders, • Agile methodologies and fast-paced product development environments Preferred Qualifications The following will be considered advantageous: • Advanced academic credentials (Master’s or PhD) in computer science or a related field, • Experience in training and deploying LLMs at scale, • Familiarity with cloud infrastructure and distributed computing environments, • Exposure to modern ML tooling such as Modal, Weights & Biases, or Amazon SageMaker, • Knowledge of fine-tuning techniques including LoRA, QLoRA, or other parameter-efficient frameworks Role Overview The successful candidate will be responsible for designing and implementing machine learning solutions that interpret and structure unorganised financial data. This includes: • Developing models for classification, entity recognition, summarisation, and retrieval, • Customising and refining LLMs for specific business applications, ensuring optimal performance and scalability, • Collaborating with data engineering teams to prepare and transform large datasets for model training, • Building robust ML services with monitoring, retraining, and performance tracking capabilities, • Enhancing the organisation’s MLOps infrastructure, including model lifecycle management and evaluation systems, • Partnering with product and engineering teams to embed ML capabilities into core platforms, • Staying abreast of emerging research in LLMs and agentic AI, and applying relevant innovations to production systems, • Supporting team development through code reviews and mentoring junior engineers

Do you want to get on the AI train? This is your chance. You're going to be coming in to build out various AI solutions, specifically LLM/GenAI products that have been designed for clients. You'll be joining a team of AI Engineers who have the core AI experience, but in some cases aren't hardcore engineers who can build out the in-depth software backend. That's where you'll come in. This is still a heavily focused AI job, you'll be hands on with the AI solutions and the build into production, but the great part is that you don't have to be as strong on the AI side as the true AI Engineers, your key impact will come on the Python side. Over time, you'll pick up the expert level skills in AI and vice versa for the others. So, with that, it'll be no surprise that you're going to need to be a great Python software developer. Additionally, strong experience working with data and building microservices will also be a huge plus. Some experience with LLMs/GenAI will be necessary but you don't need to be an expert. You'll be joining a scale-up AI Consultancy who are working closely with clients across all industries to build cutting edge AI technology. You will be liaising with these clients too, understanding their projects and building the solution collaboratively. It's a hybrid working environment, with some need to travel to client site. Starting salary will be up to £130,000 plus a range of benefits that are continuously improving as the company grows. Want to build your AI skills whilst leveraging your Python development skills? Get in touch. No up-to-date CV required.

Contract AI Engineer – Azure AI Agents | Inside IR35 | Hybrid (UK-based) Join one of the UK’s leading Investment management firms' cutting-edge AI transformation project. They're building a Greenfield AI agent platform to revolutionise how investors interact with customer data. What You’ll Do • Build and deploy modular AI agents using Python and containerisation tools., • Leverage RAG, embeddings, and OCR to synthesise customer data., • Collaborate with data engineers, DevOps, and integration specialists., • Deliver APIs for seamless integration into Microsoft 365 and Dynamics 365 environments., • Contribute to a high-impact roadmap with full business support. What You’ll Bring • Proven experience shipping production AI solutions., • Strong Python and containerisation skills (Azure Container Apps, Kubernetes, etc.)., • Familiarity with multi-agent orchestration frameworks (e.g., Semantic Kernel, Autogen, Azure Agentic)., • Experience with Azure integration services is a bonus., • Passion for AI and automation - financial services background not required. Why Join? • Greenfield opportunity in a highly supportive environment., • Exposure to cutting-edge AI tooling and real-world customer data., • Flexible team, open to mid-level engineers with strong delivery experience., • Initial 6-month contract with potential for extension.

Lead Software Engineer - Hybrid - Up to £100k 💸 Up to £100,000 + Bonus 📍 London (Hybrid – 1/2 days/week in office) Tech environment: Angular, Ionic (iOS & Android), TypeScript, NestJS, Nx, Azure Flexible on previous experience We’re on the lookout for a Hands On Lead who enjoys coding while also leading a talented dev team and shaping technical strategy. You’ll join the senior leadership team, work closely with Product, and play a key role in scaling an award-winning consumer app with a global user base. The role: • Lead the technical roadmap while coding day-to-day., • Mentor and grow a small team of engineers., • Introduce and apply emerging technologies (including AI/ML)., • Ensure architecture, security, and infrastructure can scale globally., • Collaborate with Product to deliver a best-in-class user experience. If interested, please get in touch now!! Lead Software Engineer - Hybrid - Up to £100k

Software Engineer – AI Startup – Up to 85k 🚀🧠 💰 Salary: £50,000 - £85,000 + meaningful equity 🏙️ Location: London, flexible working arrangements, ideally 1/2 days in office 💻 Tech Stack: Python, Flask, FastAPI, React, TypeScript, GCP (Backend Leaning) Our y-combinator backend client are building an elite engineering team within the AI space. The platform is being used across the globe and is delivering high level impact to their customers. If you're highly ambitious and want to solve real-world problems with the latest in AI and LLMs, this role is for you. In this role, you’ll: 🔧 Build and ship high-impact software 🧠 Work on AI/LLM-powered automation tools used in production 🏗️ Help shape scalable systems and infrastructure 🌍 Work collectively across teams to push the product forward 💻 Be working end-to-end on both backend and frontend You’ll thrive in this role if you: ✅ Love building and shipping quickly ✅ Enjoy working closely with customers and value their needs ✅ Are excited by deep technical challenges and solving them simply, don't over complicate it ✅ Bring ideas and improvements to their engineering processes ✅ Are adaptable and comfortable working across their stack ✅ Understand the working dynamics of a fast paced start-up If this role sounds like it could be of interest, apply now! Software Engineer – AI Startup – Up to 85k 🚀🧠

Our client is a world leading systematic hedge fund ($30Bn AUM). Coming off the back of 3 years of exceptional performance, the firm are looking for elite talent to help continue this streak. Our client is looking for a commercially aware, data-oriented Software Engineer to join their central functions team, with extensive experience in financial services with Python and SQL to build and deliver solutions, and act as an expert point of contact for the COO and Operations teams. You will be designing and building applications and tools to streamline processes, automate controls and enhance reporting, while working closely with the COO and Operations teams. Stack: Python, SQL, AWS, dashboards The firm has an excellent compensation structure and, due to a history of hiring from tech firms and AI start-ups, have a flexible work life balance (2 days remote).

AI Solutions Engineer – London, 5 days onsite, £80k-£105k salary + 8% pension and benefits Our heavy asset client is seeking a hands-on AI Solutions Engineer to design, build, and implement AI-powered automation solutions. This role offers the chance to work at the forefront of applied AI, delivering real business value through innovative solutions. The Role As an AI Solutions Engineer, you will work closely with business stakeholders to identify opportunities and deliver scalable AI workflows. You will design prompts, integrate Large Language Models (LLMs) with enterprise systems, and implement Retrieval-Augmented Generation (RAG) pipelines. You will also advise on responsible AI practices, ensuring compliance and governance. Key responsibilities include: • Designing and optimizing prompts for reliable LLM outputs, • Building and deploying AI-driven workflows connecting LLMs to applications, APIs, and automation tools, • Implementing RAG pipelines to link enterprise data with LLMs, • Prototyping and iterating to demonstrate business value quickly, • Advising on best practices for responsible AI adoption Candidate Profile • Strong experience with LLMs (e.g. GPT, Claude, LLaMA) and prompt engineering, • Hands-on integration with tools such as LangChain, LlamaIndex, or similar, • Proficiency in Python or JavaScript for building prototypes and integrations, • Familiarity with automation platforms (UiPath, Power Automate, Zapier, n8n), • Knowledge of vector databases and embeddings for RAG pipelines, • Excellent communication skills to translate business problems into technical solutions, • Experience working in agile or fast-paced environments, • 3+ years experience Location & Working Model • Based in London, • Five days a week onsite, with flexible working hours Package • Salary up to £105,000, • 8% pension contribution, • Comprehensive benefits package This role cannot sponsor

Senior Full Stack Engineer – AI Startup – Up to 150k 🚀🧠 💰 Salary: £80,000 - £150,000 + meaningful equity 🏙️ Location: London, flexible working arrangements, ideally 1/2 days in office 💻 Tech Stack: Python, Flask, FastAPI, React, TypeScript, GCP (Backend Leaning) 📈 Team size: 27 heads Our y-combinator backend client are building an elite engineering team within the AI space. The platform is being used across the globe and is delivering high level impact to their customers. If you're highly ambitious and want to solve real-world problems with the latest in AI and LLMs, this role is for you. In this role, you’ll: 🔧 Build and ship high-impact software 🧠 Work on AI/LLM-powered automation tools used in production 🏗️ Help shape scalable systems and infrastructure 🌍 Work collectively across teams to push the product forward 💻 Be working end-to-end on both backend and frontend You’ll thrive in this role if you: ✅ Love building and shipping quickly ✅ Enjoy working closely with customers and value their needs ✅ Are excited by deep technical challenges and solving them simply, don't over complicate it ✅ Bring ideas and improvements to their engineering processes ✅ Are adaptable and comfortable working across their stack ✅ Understand the working dynamics of a fast paced start-up If this role sounds like it could be of interest, apply now! Senior Full Stack Engineer – AI Startup – Up to 150k 🚀🧠

Data Engineer London (Hybrid) Up to £60k DOE About the Company We’re partnered with a rapidly scaling AI-driven SaaS business that helps global enterprises unlock the potential of their data. They are entering a really exciting next phase of expansion - scaling their platform, deepening automation and developing their AI solutions. About the Role This business is looking to hire a very talented Mid Level Data Engineer to take a leading role in building and scaling the data foundations of the platform. You’ll combine strong SQL and Python skills with a DevOps mindset, architecting pipelines, automating workflows, and ensuring AI outputs are production-ready. Requirements • 1.5+ years’ experience in Data Engineering or Data Platform development, • Experience working with First-Party Data, • Strong SQL and Python fluency (data transformations, orchestration, automation), • Familiarity with cloud ecosystems - Azure, AWS, or GCP, • Experience with CI/CD tools (Azure DevOps, GitHub Actions, or similar), • Excellent communication skills and a structured, detail-oriented approach, • BSc in a related STEM degree from a top university ** Please note that visa sponsorship is not available

🚀 Senior Frontend Engineer – Next.js / React Location: Monument WeWork in London Type: Full-Time About Admanage.ai We’re building the Cursor for ad management. Admanage.ai helps companies launch ads 10x faster on Meta & TikTok. Created by top performance marketers who’ve managed over $50M+ in ad spend. Our mission? Level the playing field by giving every business access to enterprise-grade ad automation tools. We make it easy to launch hundreds of ads in seconds, saving advertisers hours. And we’re building AI-powered tools to programmatically create, launch, and manage ads, which is where you come in. We’re profitable, fast-moving, and backed by experience, not just ideas. We commit to GitHub multiple times a day and ship continuously. Why This Role Rocks This is a senior-level frontend role where you’ll design and deliver features that directly impact how the top advertisers launch and manage hundreds of thousands of ads per month. You’ll collaborate with the founding team (ex-Photoroom, ex-ZOE, ex-Nextdoor), shape our frontend architecture, and raise the bar for state management, testing, and performance. You’re not here to maintain, you’re here to build a complex UI that’s robust and well-tested. 🔧 Tech Stack Frontend: Next.js 14, React 18, TailwindCSS, Radix UI, Framer Motion State Management: Zustand Testing: Vitest Backend (light exposure): Node.js, Prisma, MySQL Infra: R2 Cloudfalre, AWS S3, Vercel Auth: NextAuth.js APIs: Facebook Marketing API, TikTok Ads API What You’ll Do Architect and scale the frontend for an app launching 500,000+ ads/month Implement robust state management to handle complex, async, and data-heavy workflows Build production-grade testing frameworks (unit, integration, E2E) to support safe continuous deployment Ship features end-to-end: idea → build → optimize for robust testing, speed and UX You Might Be a Fit If You… Have 5+ years building production React/Next.js apps Are skilled at state management in large, complex apps Believe testing is part of building, not an afterthought Care about performance, UX, and clean design systems Communicate clearly, move fast, and thrive in a startup culture 💡 Bonus Points For Experience with ad APIs (Meta, TikTok, IG) Prisma + MySQL experience CI/CD pipeline knowledge (Vercel, GitHub Actions) 💰 Perks & Benefits Thirdspace Gym membership Competitive Salary 25 days holiday + bank holidays WeWork Office in Monument Team offsites (Past: Canada, South England) Join Us If You Want To… ✅ Build alongside experienced engineers and founders ✅ Work with a modern stack and ship fast ✅ Solve hard UX and state management challenges in adtech ✅ Own what you build and shape our engineering culture ✅ Grow into a Lead role as the company scales How to Apply Send your GitHub, LinkedIn, and 2-3 lines on the hardest frontend problem you’ve solved lately. Bonus: links to anything you’ve built that makes you proud. Interview Process We start with a take home task where you’ll be asked to identify bugs in a sample github repo and indicate how you would fix it.

About Us We are an AI-native, VC-backed startup building a multimodal Foundation Model with a profound understanding of retail, designed to hyper-personalise every shopper touchpoint. To realise our vision, smaller downstream models must run on the edge on-device. As an Edge AI Engineer, you will bridge research and production, ensuring our models are optimised for on-device inference. If you want to operate at the frontier of deep learning and real-world deployment, this role is for you. What You Will Do • Deploy smaller task-specific models built on top of our offline Foundation Model to run on-device during live shopping experiences., • Build robust evaluation pipelines that ensure on-device implementations mirror the performance of offline systems., • Integrate models with mobile inference backends such as TensorFlow Lite, ONNX Runtime Mobile, MediaPipe or custom native models., • Build and manage real-time on-device data stores for low-latency context and lookup., • Collaborate with Research Scientists and Research Engineers to ensure model design is edge-aware and device-compatible from the start., • Test and validate performance in live, resource-constrained environments. What We Look For • 2 to 4 years of experience deploying deep learning models to mobile or edge devices, ideally Android., • Strong proficiency in Python and Java or Kotlin, with experience translating ML code between languages., • Practical experience with mobile inference frameworks such as TensorFlow Lite, ONNX Runtime, or similar tools., • Familiarity with GPU acceleration on mobile (e.g., GPU delegates, Vulkan) or ARM-based systems is a plus., • A mindset that combines engineering rigour with startup adaptability: you are comfortable solving hard technical challenges quickly and creatively. Nice to Have • Working knowledge of Python and/or model training frameworks like Pytorch or similar, • Working knowledge of JNI on Android and/or C/C++ Why Join Us • You’ll be part of a small, high-output team where intensity and focus are the norm., • You’ll take ideas from research to live deployment fast and see your work shape real shopper experiences., • You’ll own problems end-to-end, from messy prototypes to stable, production-grade systems., • You’ll work alongside people who care deeply, move quickly, and hold a high bar for excellence.

AI Engineer Rate - £850 Hybrid working - London What you'll do • Design and build AI prototypes using LLMs, agentic workflows, and vector-based knowledge retrieval, • Collaborate with investment teams and data scientists to identify and scope high-impact use cases, • Implement and orchestrate multi-agent systems using frameworks such as LangGraph or similar tools, • Develop pipelines and interfaces for prompt engineering, context injection, and fine-tuned workflows, • Strong proficiency in Python, particularly for AI/ML, data engineering, or automation use cases, • Experience working with or building applications around large language models (open-source or commercial), • Familiarity with LLM agents, orchestration frameworks (e.g. LangGraph, LangChain), and context management, • Experience with cloud platforms (AWS preferred) and associated services for AI workloads, • A background in software engineering or data science, ideally in a research-driven or exploratory environment, • Experience working with knowledge graphs or vector databases, • Experience working in an agile environment with rapid prototyping and iteration, • Exposure to front-end frameworks (e.g. React) is a nice-to-have but not required, • Interest in the evolving field of AI governance, accuracy, and explainability, • Understanding of investment data – an eagerness to learn is fine

We are seeking a Senior Computer Vision / Multimodal Engineer to design, train, and deploy advanced vision models for object detection, segmentation, tracking, and behavior analysis within real-world retail and mobility environments. You will play a key role in optimizing real-time performance for edge and cloud systems, developing robust inference pipelines, and pushing the boundaries of multimodal AI. This is an exciting opportunity to work on cutting-edge visual AI that impacts real-world applications, collaborating with a highly skilled team of data scientists, engineers, and product experts. Key Responsibilities • Design, train, and deploy Computer Vision models for detection, segmentation, tracking, and behavior understanding., • Optimize inference pipelines for real-time performance on edge devices (e.g., NVIDIA Jetson, Coral) and cloud infrastructure., • Collaborate with data and product teams to define new use cases, prototype solutions, and take models from lab to production., • Develop synthetic data generation pipelines and augmentation strategies to enhance robustness across lighting conditions, formats, and environments., • Research and integrate state-of-the-art Vision Transformers (ViTs), Large Vision Models (LVMs), and Multimodal AI into production workflows., • Work with CCTV and multi-camera systems for tracking, localization, and behavior analytics., • Build proof-of-concept systems, perform real-world validation, and continuously improve accuracy and performance. Requirements • 5–7 years of experience in Computer Vision and Deep Learning with deployed production models., • Strong proficiency in Python and PyTorch; hands-on experience with OpenCV, TensorRT, ONNX, or Triton., • Proven expertise in object detection/tracking models such as YOLO, Deep SORT, DINOv2, or similar., • Experience with real-time or low-latency processing, multi-threaded programming, and performance tuning., • Experience deploying and optimizing models on edge devices (Jetson, Coral, etc.)., • Demonstrated passion for research, innovation, and emerging AI technologies., • Experience in 3D modeling or video behavior analytics is a plus. ONLY CANDIDATES WITH THE REQUIRED SKILLS AND EXPERIENCE SHOULD APPLY TO THIS JOB!

Full Stack Engineer – AI Startup – Up to 85k 🚀🧠 💰 Salary: £60,000 - £85,000 + meaningful equity 🏙️ Location: London, flexible working arrangements, ideally 1/2 days in office 💻 Tech Stack: Python, Flask, FastAPI, React, TypeScript, GCP (Backend Leaning) Our y-combinator backend client are building an elite engineering team within the AI space. The platform is being used across the globe and is delivering high level impact to their customers. If you're highly ambitious and want to solve real-world problems with the latest in AI and LLMs, this role is for you. In this role, you’ll: 🔧 Build and ship high-impact software 🧠 Work on AI/LLM-powered automation tools used in production 🏗️ Help shape scalable systems and infrastructure 🌍 Work collectively across teams to push the product forward 💻 Be working end-to-end on both backend and frontend You’ll thrive in this role if you: ✅ Love building and shipping quickly ✅ Enjoy working closely with customers and value their needs ✅ Are excited by deep technical challenges and solving them simply, don't over complicate it ✅ Bring ideas and improvements to their engineering processes ✅ Are adaptable and comfortable working across their stack ✅ Understand the working dynamics of a fast paced start-up If this role sounds like it could be of interest, apply now! Senior Full Stack Engineer – AI Startup – Up to 85k 🚀🧠

Software Engineer Hybrid - London - 3 days a week £55,000 - £60,000 + Bonus & Benefits Our client is a FTSE100 market leading organisation who are looking for a Software Engineer to join their growing digital solutions team. You’ll be involved in ensuring solutions are scalable, secure and widely adopted across the business. You'll need to demonstrate previous experience in using cloud services and modern software development. You’ll also be responsible for promoting best practices across the wider company and supporting teams in adopting them. We’re looking for candidates who possess the following: • Experience with Azure Ecosystem, • Working on creating Proof of Concepts and prototypes, • Interest in emerging areas such as AI or automation, • Excellent stakeholder communication skills If you meet some of the above requirements please apply for more information.

🚀 DevOps / Cloud Infrastructure Engineer needed - Permanent role - Paying up to £120,000 - 3 days onsite in London or Cambridge 🚀 I’m currently working with a fast-growing AI-driven technology company that is scaling its infrastructure team. They’re looking to hire an experienced DevOps / Cloud Infrastructure Engineer to join a six-person team and help build out their Kubernetes and cloud environment. The Role: This role is very much hands-on and focused on building rather than just maintaining infrastructure. You’ll be: • Delivering medium-sized projects around scaling and infrastructure components., • Migrating parts of the existing stack into Kubernetes (EKS on AWS)., • Solving complex scaling and pipeline issues as they arise., • Supporting wider engineering teams – product, security, R&D, and AI – by building the foundations they rely on., • Bringing depth of Kubernetes/EKS knowledge to help the team overcome technical barriers. What They’re Looking For • 5–10 years’ hands-on Kubernetes (EKS on AWS) experience., • Strong skills with Terraform, Prometheus, and scaling infra., • Collaborative and adaptable in a fast-paced environment where priorities shift quickly., • Ability to solve technical challenges and mentor others through example. If you're interested and would like to hear more please send your CV to

Lead AI Engineer 📍 London (3 days a week) | 💰 £90k–£135k + EMI shares | ❌ No sponsorship I’m partnered with a scaling AI consultancy and product company that works with global enterprises to design and deliver cutting-edge Generative AI solutions. They have partnerships with renowned tech firms - adding commmercial value. They’re looking for Lead ML/AI Engineers with strong software engineering expertise who can deliver production-ready AI solutions and upskill others in a fast-paced, consultancy-driven environment. You'll be a senior in title, but operating as a tech lead in a flat structure. What they’re after: • 5+ years’ experience building enterprise-grade software (Python, microservices, distributed systems), • Proven track record deploying LLM-based applications, • Clear evidence of Software skills (CI/CD etc.), • Ability to lead small teams, own solutions end-to-end, and mentor engineers, • Strong communicator with experience working in client-facing or consultancy settings The package: • Up to £135k base + EMI share options, • Private medical, wellness benefits, pension, life cover, • 25 days holiday + bank holidays, • Hybrid working, 3 days a week in London This is a chance to join a profitable, high-calibre business at the forefront of applied AI, where you’ll shape solutions and influence technical direction across multiple projects. If this sounds like you, apply with your CV!

Senior Software Engineer - Artificial Intelligence - London - £100,000 - £150,000 base + Equity We are working with an ambitious, well-funded defence technology company revolutionising how organisations collaborate with sensors, robots, and autonomous systems. This is a pivotal moment to join a high-calibre team solving some of the most complex and consequential problems in the field. From day one, you’ll have real ownership and influence over design, functionality, and direction, no layers of bureaucracy, just the opportunity to make a tangible impact. About the Role You will design, build, and test core software platforms and user interfaces. This includes deploying and testing with autonomous and robotic systems in the field, writing maintainable code for mission-critical environments, integrating with third-party APIs, and contributing to the development and documentation of internal APIs. Working closely with end users, you’ll rapidly iterate on the features that matter most — sometimes in live environments alongside real systems. Required Skills • Degree in Computer Science, Engineering, or a related technical field (or equivalent experience), • Strong programming skills in C++, Rust, Java, • 8+ years of professional software engineering experience Preferred Skills • Experience with autonomous systems and robotics Benefits • Mission & impact: Build software directly supporting defence and humanitarian operations, • Ownership: Shape architecture, product direction, and team culture from day one, • Peers: Collaborate with founders and experts in AI/ML, robotics, and networking, • Growth: Expand into new domains and broaden your technical expertise, • Rewards: Competitive base salary (£100k–150k), significant equity, full benefits, and SC clearance support How to Apply If you are interested, please get in touch: We encourage you to apply even if you don’t meet every requirement. If you have strong academics, drive, and the willingness to learn, we want to hear from you. Note: If you haven’t received a reply within three days, your application was unfortunately not successful.

The Team OpenBet is a global leader in betting and gaming entertainment, trusted by over 200 partners to create memorable winning moments for millions of players worldwide. From processing bets during iconic events like the FIFA World Cup and Super Bowl to pioneering next-gen products like BetBuilder, we continuously redefine the player experience with high-quality content, cutting-edge technology, and advanced player protection tools. For over 25 years, our unbeatable platform has powered the most recognizable betting brands, ensuring peak performance with 100% uptime, unmatched scale, and speed. With 85 licenses, 20 World Lottery Association operators on our customer roster, and a team of 1,200+ experts across 14 countries, we remain at the heart of the industry. The Goal Join us as a Generative AI Engineer and shape the future of sports betting. You’ll craft cutting-edge AI prototypes, fine-tune LLMs, and build powerful APIs that bring next-gen intelligence to our platform. Working across research, product, and engineering, you'll deliver real-world solutions using technologies like Retrieval-Augmented Generation and cloud-based AI tooling from Microsoft, AWS, and Google. You’ll be part of a dynamic team pushing the boundaries of what’s possible—driving innovation, scalability, and strategic impact in a fast-moving, highly regulated industry. The Player You’re fluent in generative AI, from prompt engineering to deploying production-ready LLMs. You bring cloud-savvy skills, mastery of tools like TensorFlow or PyTorch, and a sharp eye for AI trends and ethics. You’re collaborative, curious, and ready to build intelligent systems that perform at scale. If you’re passionate about innovation and excited by the intersection of AI, tech, and sports betting—this is your game. What we can offer YOU: • Attractive benefits that include flexible working options and opportunities for tangible career progression., • A world-class team that's redefining the sports betting industry through AI, providing a vibrant and collaborative working environment., • The opportunity to build on our established machine learning capabilities and help shape the next generation of AI-powered betting experiences., • Access to cutting-edge tools, resources, and training to support your growth and development in the rapidly evolving AI landscape., • The chance to see your work fuel innovation and deliver impactful solutions to a global betting audience., • Regular opportunities to participate in knowledge-sharing sessions, conferences, and industry events to stay at the forefront of AI developments., • A culture that values intellectual curiosity and encourages exploration of how AI intersects with other emerging technologies and global business trends. And if that's not enough; you'll enjoy a forward-thinking workplace and endless opportunities to stretch your technical expertise while making your mark on the world of sports betting technology. Open to hiring in London, Athens OR Lviv At OpenBet, we celebrate diversity and believe in creating an inclusive environment where every voice is valued and respected. We're committed to building a team that reflects the rich tapestry of humanity, embracing individuals from all walks of life, backgrounds, and identities. Join us in shaping the future of iGaming, where diversity isn't just celebrated—it's celebrated.

Senior Engineer - up to £100K base + Shares - Educational SaaS Platform You’ll help shape an AI-driven SaaS product helps people across the globe in educational needs. It is used heavily by the NHS, Schools, and Universities across the UK and the USA. You’ll solve real engineering challenges - scaling multi-tenant systems, building AI feedback pipelines, and delivering reliable, secure platforms that people can trust. Why this role stands out • £80K - £100K base salary, • Equity - own a part of the company you work for, • Get hands-on with architecture, • 1 day a week in Shoreditch, flexible hours, option to work abroad, • 25 days’ holiday + bank holidays, • Annual Learning budget Tech stack • Node / Express + TypeScript, • CI/CD, • Cloud experiance (they use GCP)

AI/ML Platform Engineer (Senior Consultant) | Permanent position • Location: Central London, • Hybrid model, • Salary: Up to £82,500 + Excellent Benefits, • Available position: 2 positions Our client, a leading IT services provider, is seeking an experienced AI/ML Platform Engineer to support a transformative project within the UK education sector. You'll play a critical role in delivering and maintaining a cutting-edge AI/ML Operations platform for a prestigious academic institution, collaborating closely with IT teams, third-party vendors, and internal specialists to deploy a state-of-the-art high-performance computing environment (HPC). The role requires strong hands-on engineering expertise combined with solid consulting capabilities across AI/ML Engineering platforms, Ubuntu Server, NVIDIA Technologies (Run:AI, GPU Operator), Kubernetes containerisation, and High-Performance Computing (HPC) environments to ensure successful platform delivery and ongoing operational excellence. Key Responsibilities: • Deploy and configure a complete AI/ML Ops platform, including Ubuntu OS, Kubernetes, NVIDIA GPU/Network Operators, and Run: AI orchestration, • Shadow vendor installations, conduct knowledge transfer, and validate platform performance against AI/ML development requirements, • Provide ongoing operational support and platform ownership, including monitoring, troubleshooting, and implementing updates/patches, • Deliver technical guidance to researchers and developers while engaging stakeholders to understand evolving requirements, • Create comprehensive documentation covering configuration, maintenance procedures, and troubleshooting guides, • Collaborate effectively with IT teams, third-party vendors, and internal specialists throughout implementation and BAU phases Required Qualifications & Experience: • Strong experience deploying and supporting HPC environments for AI/ML workloads, • Strong Ubuntu server administration and extensive Kubernetes cluster management experience, • Hands-on experience with NVIDIA GPU technologies (GPU Operator) and AI/ML orchestration platforms (Run: AI highly desirable), • Understanding of networking in containerised environments and experience supporting complex computing infrastructures, • Strong documentation and knowledge transfer capabilities

Graduate Software Engineer - JavaScript / React / Node | £40–50K | Camden (Hybrid) Join a VC-backed AI SaaS startup that's helping chemical and cosmetics companies launch products globally - solving complex regulatory problems through software. They've raised £3M seed, hit £500K+ in revenue, and are building an all-star team of devs from top UK universities. You’ll work directly with the founding team on a product that’s already in-market. You’ll thrive here if you: • Have a 1st class degree from Imperial, UCL, Cambridge, Oxford, Durham, Bath, etc., • Have a passion for building (show us your GitHub or side projects!), • Are confident with JavaScript, React, Next.js, Tailwind, Node.js, • Care about clean code, thoughtful UX, and solving problems end to end, • Are London-based and up for 3 days/week in our Camden office (Mon, Tue, Thu) 📩 Apply with your CV, GitHub, and LinkedIn

Team: Machine Learning Location: London (On-site; Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £70 - 90k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In this role, you will: • Design, develop and train large multimodal machine learning models across all stages: pre-training, post-training, evaluations and inference., • Work closely with clients to understand data and model architecture requirements for their business needs., • Be given a high degree of autonomy and ownership over your work., • Co-hire your future colleagues., • Work closely with the founding team and contribute towards best practices, standards, and culture of the company. What we are looking for: • Research engineering: Industry experience in complex machine learning projects including data processing and training models in a distributed environment., • LLMs: Understanding of LLM architectures, pre and/or post-training, evaluations and inference., • Programming languages: Proficiency in Python using PyTorch/TensorFlow/JAX framework., • Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker)., • Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems., • Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex problems into actionable tasks., • Collaboration and communication: Excellent interpersonal and communication skills with a desire to learn. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you. Nice to have: • Publications: At top-tier ML/CV/NLP conferences (NeurIPS, ICML, ICLR, CVPR, ICCV), • Open-source: Contributions to and experience in open-source projects., • Startup experience: Experience with a startup work environment and wider ecosystem. Why join us? • Work in an environment conducting cutting-edge research in AI., • An official role title of “Founding Research Engineer” - make an impact on day one., • Competitive salary, equity and benefits package., • 28 days + public holidays allowance., • Opportunities for professional growth and progression with your career., • Work on challenging engineering problems that have a real impact on the industry., • Work with high-profile customers and technology partners.

Product Engineer Want to build tools and infrastructure that will support AI-first software integrations and allow agentic workers to access systems safely and reliably? Can you do it all with a relentless focus on what your customers want, whilst leaving room for experimenting with things they have not even got to grips with yet? MCP is a good example of an area where you might experiment with the latter? That covers the space in which you will be building a product, but you also care about who you are building with. The team is fun, friendly, and from around the world. The founders have done this before and it shows. Whilst AI is a fast-moving space in which to be building the culture in the office is calm and focused. They choose to work in person twice a week and regularly eat lunch together. Series-A funding is in the bag and paying enterprise customers have lots of things they would like built and that is where you come in. Excellent engineering credentials, a product mindset and a desire to impress with the quality of your work make you an obvious choice for this role. Must-haves: • Full-stack software engineering experience with depth in backend, • TypeScript or Python on AWS. Ideally, you have worked in both, • Systems design skills - there's a very tough interview on this! Nice to have: • Experience of building B2B SaaS products, • Have shipped AI products before FAQs: • How much does it pay? Up to £100 000 base + equity + bonus, • Working arrangements? Two days in office. Tuesdays and Thursdays Does this role sound like it could be your next gig? If you are serious about the role and would like your CV reviewed by a human. Send me an email, . Put “I am the human in the loop” in the title and in the body make sure to tell me in your own words why you are interested in this role. Please make clear your right to work in the UK. All applications received this way will receive feedback.

🌍 Founding Engineer – Stealth AI Startup | London | £100–140k • Location: London (Onsite), • Compensation: £100,000–£140,000 + meaningful equity, • Start date: Flexible, but ideally soon I'm hiring for a stealth-stage AI startup founded by two individuals who have worked at some of the biggest names in the space. Backed by deep technical roots and a bold vision, they’re rethinking how enterprises interact with AI, by teaching systems directly through human decision-making. They are a small team with less than 10 heads, and they're now looking for a founding-level engineer to join the core London team. Tech stack: • Frontend: React, Next.js, TypeScript, • Backend: Python, FastAPI Happy for candidates to lean towards to backend or the frontend Why this role stands out: • Stealth-stage, high-impact: You’ll work on tech that’s pre-launch but already being used by early design partners., • Truly novel approach: Building systems that learn from human behaviour rather than traditional fine-tuning., • Deep product involvement: Ship fast, iterate constantly, and help define how AI will interface with the enterprise. If you're a Full Stack Product Engineer who thrives in fast-paced, early-stage environments and you're excited about the future of AI automation — Apply now!! 🌍 Founding Engineer – Stealth AI Startup | London | £100–140k

Lead Software Engineer - Python🚀 Salary - £90,000 - £110,000 Health-Tech Startup 🙌 London, London - Hybrid (2 days Liverpool Street)👌 Founded - 2022 😎 £3million Seed Funding 💰 I am partnered with a Health-Tech Startup revolutionising healthcare by tackling one of the NHS’s biggest challenges — Missed appointments and the growing waitlist, through the power of AI & ML. Founded in 2022, the company is on the verge of raising £3 million in Seed funding, setting the stage for significant growth. 🚀 The Role - Lead Backend Engineer They are now looking for a highly skilled Lead Backend Engineer to join their growing team. This is a crucial role as they embark on their next phase of expansion. You'll be 100% hands-on, with the opportunity to step into a leadership role as the team scales. Tech Stack - Python, FastAPI, AWS, PostgreSQL, NumPy, Pandas What You’ll Be Doing - • Designing, building, and maintaining scalable backend systems for AI-driven healthcare solutions., • Working closely with the ML engineers to integrate AI/ML models into production., • Ensuring system reliability, security, and performance., • Driving best practices in backend engineering and mentoring junior developers as the team grows., • Collaborating with stakeholders to define technical roadmaps and architecture decisions. What’s in it for You? • 💰 Salary: £90,000 - £110,000 + Equity, • 📍 Hybrid work setup — London office (Liverpool Street) 2 days a week, • 🚀 The chance to be part of a fast-growing startup making a real impact in healthcare, • 📈 Career growth with the opportunity to transition into a leadership role Apply if interested!

Role: Senior Product Engineer (Fullstack) Salary/Package: £90k-£130k + Equity Options Company Sector: AI Start Up Experience Level: Senior (5+ years) Tech: JavaScript, TypeScript, Node.js, React.js, AWS Location: Central London Working Arrangement: 5 Days a week in the office Product Engineer (Full Stack) Help shape the future of human–computer interaction by building fast, delightful, intelligent products. We’re looking for a product-focused engineer who loves bringing ideas to life in a fast-moving, collaborative environment. You’ll work across the stack to design, build, and launch new features - the kind that make users go, “Whoa, that’s smart.” This role is ideal for someone who thrives in early-stage environments, loves zero-to-one product building, and enjoys taking full ownership from concept to delivery. What you’ll do • Build new user-facing features end-to-end - from idea to production, • Experiment rapidly with prototypes and iterate based on user feedback, • Optimise for performance, scale, and reliability, • Collaborate closely with engineers, designers, and product leads to craft elegant, high-impact solutions What you bring • Strong experience building full-stack web applications, • Proficiency with TypeScript, Node.js, and React (experience with tools like Tailwind, Radix, or Framer Motion is a plus), • Solid understanding of Postgres or similar relational databases, • Exposure to cloud infrastructure (AWS or similar; Terraform a plus), • A genuine interest in AI and emerging technologies Who you are • A builder at heart - you love shipping, • Excited to work in-person from a central London office, • Energised by startup pace and ambiguity, • Pragmatic, kind, and ambitious in equal measure, • Driven by creating meaningful user experiences Why this role This is a chance to join an early team shaping the next generation of productivity tools. You’ll work hands-on with cutting-edge AI and help define both the product and the culture from the ground up. My client offers above-market compensation (salary and equity) and relocation support for those joining us in London. If this sounds like you, even if your background doesn’t tick every box we’d love to hear from you.

Job Title: Junior AI Engineer Location: London (hybrid – meet 1–2 times per month) Type: Permanent Salary: £40,000 + stock options Interview Process: 2–3 stages We’re hiring for a founding AI Engineer to join a startup building AI agent infrastructure for regulated industries. They are a Seed stage company backed by a Leading London VC and you will work closely with the CTO who is a previously exited AI Founder. The product already has an MVP and a fine-tuned LLM. The next step is scaling the organisation as they look to move towards their Series A. Please only apply if you have a Masters + in Computer Science What you’ll do • Build and fine-tune AI models (LLMs and transformer-based architectures)., • Work directly with customers to integrate and test new features., • Develop and improve core components of the AI agent framework., • Gather and act on client feedback to enhance product performance., • Take part in design and architecture discussions. About you • Master’s or PhD in AI, Machine Learning, Data Science, or Computer Science (Russell Group or similar)., • Strong Python skills (Pandas, NumPy)., • Experience or exposure to NLP, transformers, and LLMs., • Familiarity with ML tools like Weights & Biases or MLflow is a plus., • Curious, proactive, and confident working independently., • Ideally based near London for occasional client visits. 📩 Interested? Message me here or email

If you’re looking for a comfortable 9 to 5, something well established, structured, and where you’re told exactly what to do, this won't be for you. But if you want to build something extraordinary from the ground up and have a direct hand in shaping a company that’s scaling at breathtaking speed, keep reading. This is your chance to join an early stage AI startup that’s redefining how innovation is discovered, protected, and accelerated. The team is building systems that detect infringement, streamline R&D, and empower creators to move faster. It’s a true greenfield opportunity, no legacy code, no bureaucracy, just the freedom to solve challenging technical problems with impact. The founding team comes from some of the world’s most respected technology companies and is backed by tier-one investors and industry leaders who know how to build billion-dollar businesses. The company’s trajectory is ambitious, from zero to seven figures in recurring revenue within its first year and this is only the beginning. As a Software Engineer, you’ll join a small, high calibre team where ownership is everything. You’ll work primarily on the backend, integrating with LLMs, and collaborating directly with the founders to design, ship, and iterate products. You’ll speak with customers, think critically from their perspective, and see your work have an immediate, visible impact. The team operates in one-week sprints, moving at an intensity few companies can match. This isn’t a clock-in, clock-out culture, it’s built for those who thrive in fast moving, high ownership environments. This company has an in office culture mainly because there’s nothing quite like building the next tech unicorn, together, in the same room, ask the big players. What you’ll need to succeed: • Strong experience building production quality software (Java, TypeScript, or Python), • Curiosity and adaptability: you learn new technologies quickly and apply them effectively, • Hunger and drive: you’re comfortable working in ambiguous, fast paced environments, • Ownership mentality: you take full responsibility for solving problems, not waiting for instructions In return, you’ll receive a highly competitive base salary, meaningful stock options, and the opportunity to join right before takeoff. That’s the real reason people join startups, the ownership, the impact, and the upside. Those options could change your life, your home, your car, your freedom whatever drives you. If that sounds like you, and you’re open to hearing more, please apply below or reach out directly at .

✨ Design Engineer We’re partnering with a London startup who rebuilding what a website even is. Instead of static pages, their platform creates intelligent, adaptive web experiences that change in real-time based on who’s visiting and what they care about. It’s part design, part AI, and entirely unlike anything else on the internet right now. They’re early-stage, backed, and moving very fast 🔥🔥🔥 The most exciting part, they’re looking for a Design Engineer who can bring real magic to the browser 🪄 💡 The Role You’ll sit at the intersection of design and engineering helping to turn ideas, mockups and prototypes into beautiful, fluid, interactive experiences that feel alive. This is a role for someone who cares as much about pixels as performance, and who loves sweating the small details (motion, transitions, responsiveness) You’ll work closely with the founders and team to build out the future of their product and define what “next-gen web” really means. 🧠 You’ll Be a Great Fit If You: • Have a strong eye for UI craft and interaction design. You love thoughtful micro-interactions and subtle motion., • Tech stack: TypeScript and React. You also enjoy working in Tailwind and Motion/Framer Motion., • Can show a portfolio of your work (this is a must!!!), • Care about clean, maintainable code and delivering experiences that feel effortless. ⚙️ Bonus Skills • Experience with GSAP, Three.js/WebGL, or any form of advanced animation or generative visuals., • Familiarity with design systems, Figma, and the bridge between design and engineering workflows., • A bit of curiosity around AI-driven interfaces. 📍 Location: 5 days a week in the London HQ 💰 Salary: £80k - £130k per year, depending on your experience and where the team sees you fitting in

We’re hiring an AI Engineer to join an innovative scale-up creating a new category of Enterprise AI. Their mission is to replace costly external agencies and large in-house data teams with AI-driven agents that deliver faster, scalable decision-making. The product is 60% complete, and you’ll help scale it across multiple verticals, starting with real estate. The vision is to build expert AI agents tailored to each industry, powered by Retrieval-Augmented Generation (RAG). You’ll work closely with the C-Suite team, owning end-to-end delivery from system design through deployment, and collaborating with stakeholders across the business. Responsibilities: • Build and scale vertical-specific AI agents, • Translate complex enterprise data into scalable AI solutions, • Lead architecture, development, and deployment efforts, • Work collaboratively with senior leaders and external partners Details: Hybrid role based in London, 2–3 days onsite per week. You’ll be part of the core team featured in an upcoming investment pitch aimed at accelerating growth and expanding into multiple sectors.

Trading Platform Engineer – Core Trading Systems - C# Development - Global Multi-Asset Investment Firm - London - Up to £400k TC Our client is a globally recognized, multi-asset investment firm managing over $25 billion in assets on behalf of a major philanthropic foundation and select institutional partners. Operating as both a family office and institutional-grade asset manager, the firm combines the long-term perspective of permanent capital with the agility to act decisively when opportunity arises. With a presence across New York, London, Greenwich, and Dublin, the firm invests across asset classes — including public and private equity, credit, fixed income, FX, and alternatives — through a flexible, unconstrained mandate. Its professionals are united by an entrepreneurial culture that values intellectual rigor, collaboration, and innovation. The firm emphasizes ownership, development, and accountability, empowering individuals to think creatively, challenge assumptions, and build systems that drive real performance impact. The Opportunity We are seeking a Software Engineer to join the firm’s Core Development team, which builds and supports the technology platform that powers the full trade lifecycle — from order creation and execution to post-trade operations. In this role, you’ll work directly with traders, portfolio managers, and operations teams to design and implement scalable systems supporting multi-asset-class trading. You’ll develop and enhance integrations between vendor OMS/EMS platforms and proprietary in-house applications, contributing to the firm’s strategic modernization of its trading infrastructure. This position offers hands-on exposure to complex trading systems, modern cloud technologies, and a collaborative, high-performance environment where technology is viewed as a strategic differentiator. Key Responsibilities • Design, build, and maintain trade flow and operations systems supporting order management, execution, and compliance across multiple asset classes., • Integrate and extend vendor OMS/EMS platforms, developing custom augmentations and bespoke tools for trading, treasury, and compliance workflows., • Collaborate closely with traders and operations teams to deliver user-centric, high-performance applications., • Contribute to the modernization of legacy systems by migrating infrastructure to AWS and Snowflake, improving scalability and maintainability., • Develop solutions using C#, Python, SQL Server, and cloud-native tools, alongside modern UI frameworks such as React or Angular., • Provide ongoing production support for mission-critical systems during trading hours and end-of-day processes., • Work with senior developers to define best practices and implement components of a unified, scalable trade platform. Ideal Candidate Profile • 5–10 years of experience developing and supporting Order Management (OMS) and Execution Management Systems (EMS)., • Strong proficiency in C# or Python, with advanced SQL and database design expertise., • Hands-on experience with AWS, Snowflake, and modern software architecture., • Solid grasp of data structures, concurrency, and memory management., • Experience developing responsive, performant UIs using React, Angular, or Vue.js; familiarity with PowerBI or other BI tools is a plus., • Effective communicator capable of working directly with business users and senior stakeholders., • Adaptable and collaborative mindset, thriving in a fast-paced, agile environment., • Familiarity with multi-asset trading (Equities, Fixed Income, Options, Futures) preferred., • Interest in leveraging AI-assisted tools to enhance the development lifecycle. Why This Role • Be part of a high-caliber engineering team powering a global multi-asset trading platform., • Work closely with investment professionals, driving technology that directly impacts trading efficiency and performance., • Join a culture that values innovation, autonomy, and continuous improvement., • Competitive compensation, world-class resources, and long-term professional growth opportunities.

I’m working with a top AI firm hiring Senior Software Engineers into their R&D team, building systems that push the limits of computer vision, deep learning, and autonomous vehicle/machinery. You’ll be joining brilliant minds from Tesla, Google DeepMind, NVIDIA and more. 💼 Role: Senior Computer Vision Engineer - Robotics 🌍 Location: London (onsite) 💸 Package: Negotiable + stock options What you’ll be doing • Training policies via representation learning, behaviour cloning & RL from data to deployment., • Building pipelines that fuse vision, language, audio, proprioception & 3D data., • Scaling distributed training + optimising models for real-time edge inference., • Helping shape how intelligent systems learn and act in the real world. What we’re looking for • 3+ years developing deep learning systems with shipped models or published research., • Hands-on with Vision Language Models, LLMs or generative models., • Strong Python + PyTorch/JAX skills (debugging, profiling, shipping)., • Passion for bridging the gap between simulation and reality. This is one of the most exciting and technically challenging roles I’ve see with the chance to make a real impact on how AI and autonomy move from research into the real world. We’re especially keen on candidates with autonomous vehicle/machinery experience who are happy to be on-site in London. Interested? Apply to be considered.

Build the Future of AI Agents as a Product Engineer ⚙️Python, Go, Typescript, React, LLMs 📍Hybrid Working: 4-days a week onsite in London, Soho 💰Base Salary: Ranging from £150k - £200k + Stock + Benefits Join a US Series C scale-up landing in the UK, on a mission to reinvent how businesses talk to customers Already valued at over $4B, they’ve created AI agents that are indistinguishable from humans, integrated into enterprise's customer experience journeys AI agents that mirror their brand’s voice, goals, and operational processes These agents don’t just chat, they can perform real actions, and are integrated into Voice call centre eco-systems Now, they’re looking for exceptional customer-facing Product Engineers at their new London HQ What You'll Do as a Product Engineer • Design and build intelligent AI agents that drive meaningful business outcomes, • Work across the stack, from LLM prompting and agent orchestration, to APIs, to frontend, • Collaborate closely with customers, leading meetings and planning roadmaps, • Ship fast. Test in production. Iterate relentlessly., • Invent new ways to reason, plan, and act using LLMs and Agentic AI architectures What We're Looking For • 2+ years of experience building products in a fast-paced startup, • Computer Science Degree, • Strong product intuition: You're not afraid to push hard and ship scrappy V1s, • Exceptional communicators: You love talking to users and figuring out what to build, • Some experience or proven outside work working with AI (manipulating LLMs, Prompt Engineering) You’ll have real ownership, ship to production fast, and help shape both the product and culture from the ground up The leaders of this company have helped build products like Meta, Salesforce, Twitter and more This brand will elevate your career forever

The Team OpenBet is a global leader in betting and gaming entertainment, trusted by over 200 partners to create memorable winning moments for millions of players worldwide. From processing bets during iconic events like the FIFA World Cup and Super Bowl to pioneering next-gen products like BetBuilder, we continuously redefine the player experience with high-quality content, cutting-edge technology, and advanced player protection tools. For over 25 years, our unbeatable platform has powered the most recognizable betting brands, ensuring peak performance with 100% uptime, unmatched scale, and speed. With 85 licenses, 20 World Lottery Association operators on our customer roster, and a team of 1,200+ experts across 14 countries, we remain at the heart of the industry. The Goal We’re looking for a Data Engineer / AI Platform Specialist to build and optimize the infrastructure powering our AI ambitions. In this hands-on role, you’ll design scalable data pipelines, manage cloud services, and implement infrastructure-as-code to enable secure, efficient, and high-performance AI workflows. Your work will ensure data is not just available—but ready for AI at scale. You’ll collaborate closely with ML engineers, software developers, and stakeholders to unlock siloed data, improve compliance, and drive platform reliability. This is your chance to shape the technical foundation behind real-world AI impact in a high-growth, high-regulation industry. The Player You bring deep expertise in cloud infrastructure (AWS, Azure, or GCP), data engineering, CI/CD, and IaC tools like Terraform. You thrive in cross-functional environments, balance performance with governance, and know how to turn complex systems into seamless pipelines. If you're ready to empower enterprise AI with next-gen infrastructure — we want to hear from you. What we can offer YOU Why would you enjoy working with us? • Forward-thinking AI-driven team revolutionizing the sports betting industry., • Build cutting-edge infrastructure and processes that set the stage for groundbreaking AI solutions., • Competitive benefits, including flexible working options and tangible career growth opportunities., • Access to advanced tools, systems, and training to enhance your expertise in cloud computing, automation, and AI infrastructure., • Collaborate with a world-class group of professionals innovating at the intersection of data and AI., • Opportunities to participate in global conferences, knowledge-sharing sessions, and industry events., • A culture that emphasizes intellectual curiosity and rewards exploration of emerging technologies like quantum computing, blockchain, and IoT. And if that's not enough; you'll enjoy a dynamic workplace where your contributions fuel the next generation of AI-powered betting experiences. Open to hiring in London, Athens OR Lviv At OpenBet, we celebrate diversity and believe in creating an inclusive environment where every voice is valued and respected. We're committed to building a team that reflects the rich tapestry of humanity, embracing individuals from all walks of life, backgrounds, and identities. Join us in shaping the future of iGaming, where diversity isn't just celebrated—it's celebrated.

Senior Full Stack Engineer (Backend-leaning) - High-Growth eCommerce Platform London / Hybrid (1 day per week) · c£80,000 + Share Options · VC-backed Series A Startup 🚫 This company is unable to offer visa sponsorship at this time Shape the Architecture of a High-Growth eCommerce Platform We’re working with a VC-backed, Series A startup in the luxury eCommerce space that is scaling fast and working with some of the most recognisable fashion brands globally. They’re looking for a Senior Full Stack Engineer (backend-leaning) to take ownership of architecture, data flows, and complex integrations powering a platform used by millions. This isn’t about tweaking themes, it’s about designing and scaling systems at the core of a rapidly growing business. The Opportunity • Design and scale backend systems powering payments, returns, personalisation, and more., • Lead API-first development, data modelling, and performance optimisation., • Build reliable systems in TypeScript, working across the stack with React on the frontend., • Own deep integrations with Shopify APIs and third-party services (not just theme edits)., • Collaborate closely with product and design in a lean, high-impact team., • Embrace automation and AI tooling to accelerate delivery and maintain quality. Tech Stack • Languages: TypeScript (core), Python/Ruby (data flows), • Frontend: React (preferred), Node.js welcome, • Infrastructure: AWS, • Databases: RDBMS (essential), Neo4j (nice-to-have), • Integrations: Shopify APIs, payment gateways, fraud tools You’ll Thrive Here If You... • Have strong backend engineering fundamentals (schema design, query optimisation, scalable architectures)., • Have hands-on experience scaling systems in startups or scale-ups., • Enjoy owning architecture end-to-end in small, fast-moving teams., • Are excited by working close to the product and shipping meaningful features quickly., • Bonus: experience with eCommerce APIs, Shopify, payment gateways, or growth tooling. Why This Role • Real architectural ownership in a lean engineering team., • Build systems that reach millions of users., • Fast decision-making, direct impact, and modern engineering culture., • c£80,000 + share options, hybrid London, 1 day/week in office., • Series A stage — ideal for engineers who want to shape tech foundations pre-scale. Interview Process • 30-min culture & tech fit conversation, • 60–90 min technical scenario interview (no whiteboarding), • Offer Ideal for senior full stack or backend engineers with TypeScript/React/AWS experience who want to shape architecture at a growing, product-led company.

About Us We are an AI-native, VC-backed startup building a multimodal, proprietary foundation model with a profound understanding of retail, designed to hyper-personalise every shopper touchpoint. As we scale from research to production, we need robust infrastructure that makes our models reliable, reproducible, and observable at scale. As a Senior MLOps Engineer, you will own the infrastructure and tooling that turns experimental models into dependable production systems. You will build the pipelines, monitoring, and deployment workflows that allow our Research Engineers to move fast without breaking things. If you want to operate at the intersection of machine learning and production systems engineering, this role is for you. What You Will Do • Build and maintain CI/CD pipelines for model training, evaluation, and deployment across research, staging, and production environments., • Design and implement model registries, versioning systems, and experiment tracking to ensure full reproducibility of all model releases., • Deploy ML workflows using tools like Airflow or similar, managing dependencies from data ingestion through model deployment and serving., • Instrument comprehensive monitoring for model performance, data drift, prediction quality, and system health., • Manage infrastructure as code (Terraform, or similar) for compute resources, ensuring efficient scaling across training and inference workloads., • Collaborate with research and engineering teams to establish system SLOs/SLAs aligned with business objectives., • Build tooling and abstractions that make it easy for Research Engineers to deploy models reliably without needing deep infrastructure knowledge., • Ensure compliance, governance of all ML processes and workflows. What We Look For • Experience building and operating ML infrastructure, ideally in production environments serving real users., • Strong proficiency in containerisation (Docker, Kubernetes) and orchestration of multi-stage ML workflows., • Hands-on experience with ML platforms and tools such as MLflow, Kubeflow, Vertex AI, SageMaker, or similar model management systems., • Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms (AWS, GCP, or Azure)., • Experience with relational databases and data processing and query engines (Spark, Trino, or similar)., • Familiarity with monitoring, observability, and alerting systems for production ML (Prometheus, Grafana, Datadog, or equivalent)., • Understanding of ML concepts. You don't need to train models, but you should speak the language of Research Engineers and understand their constraints., • A mindset that balances reliability with velocity: you care about reliability and reproducibility, but you also enable teams to ship fast. Nice to Have • Experience delivering API services (FastAPI, SpringBoot or similar)., • Experience with message brokers and real-time data and event processing (Kafka, Pulsar, or similar). Why Join Us • You'll be part of a small, high-output team where intensity and focus are the norm., • You'll own the infrastructure that enables research to reach customers reliably and at scale., • You'll solve hard problems at the edge of ML systems: multi-modal models, on-device deployment, real-time inference, and retail-scale operations., • You'll work alongside people who care deeply, move quickly, and hold a high bar for excellence.