Trabajos production engineer en , London - Page 2Crear alertas

Senior AI Engineer 📍 London (3 days a week) | 💰 £100k–£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 real value. They’re looking for Lead/Senior 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: • 4+ years’ experience building enterprise-grade software (Python, microservices, distributed systems), • Proven track record deploying LLM-based applications, ideally Agentic focused, • Clear evidence of Software skills (CI/CD etc.) - super important, • 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!

We are seeking a skilled Senior CV/Multimodal Engineer to join the dynamic team of one of our clients. In this role, you will design, train, and deploy advanced Computer Vision models for applications such as object detection, segmentation, tracking, and behavior analysis in real-world retail environments. You will be responsible for optimizing inference pipelines to achieve real-time performance on both edge devices and cloud infrastructure. Collaboration with data and product teams will be key in defining and prototyping innovative use cases, along with developing synthetic data pipelines to enhance model robustness. Key Responsibilities • Design, train, and deploy advanced Computer Vision models for applications including object detection, segmentation, and behavior analysis., • Optimize inference pipelines for real-time performance on edge devices (e.g., NVIDIA Jetson, Coral) and cloud environments., • Collaborate with cross-functional teams to define new use cases, prototype solutions, and facilitate deployment from lab to real-world settings., • Develop synthetic data pipelines and augmentation strategies to improve model robustness in various retail formats and lighting conditions., • Stay updated on the latest advancements in Vision Transformers, LVMs, Multi-Modal AI, and Visual Foundation Models, integrating them into production as appropriate., • Work with various camera systems, including CCTV, to enhance tracking, localization, and responsiveness., • Develop and validate proof-of-concept models through real-world testing. Requirements • 5–7 years in Computer Vision and Deep Learning, with a track record of live deployments in production environments., • Proficiency in Python and PyTorch; familiarity with frameworks such as OpenCV, TensorRT, ONNX, or Triton is essential., • Knowledge of low-latency performance tuning and multi-threaded programming for real-time processing., • Proven experience with object detection and tracking models (e.g., YOLO, Deep SORT, DINOv2)., • Experience deploying models on edge devices and optimizing for real-world conditions., • Experience in 3D modeling and video behavior analytics is a bonus. Core Competencies • Strong analytical and critical thinking abilities to troubleshoot and optimize models in real-time., • A passion for research and development, focusing on emerging technologies and a drive to implement new solutions., • Ability to pivot to new challenges and fast-paced environments while continuously learning and applying new skills., • Effective written and verbal communication skills for presenting complex technical concepts to diverse audiences.

Are you an AI engineer with strong software engineering fundamentals? Have you deployed AI models into production—not just trained them? Want to work on agentic systems, RAG pipelines, and LLM-powered tools? We're working with a high-growth GenAI consultancy building real-world, production-grade AI applications. With a team of 50+, the company partners with global clients across finance, energy, media, and tech. From hedge funds to energy and health-tech, their projects are diverse and technically challenging. With strong client demand and deep partnerships (including OpenAI), the team is scaling fast across the UK, Singapore, and Australia. As a Senior Applied AI Engineer, you’ll take ownership of designing and deploying AI-powered applications that solve real client problems. You’ll work across full-stack delivery, from architecture to production deployment, collaborating with cross-functional teams and mentoring other engineers. Key Responsibilities • Build and deploy scalable AI tools using Python and LLM APIs, • Design end-to-end agentic and RAG-based solutions for enterprise use, • Own delivery from proof-of-concept through to production, • Work with cloud-native architectures (e.g. AWS Lambda, Step Functions), • Lead and guide junior engineers within project teams Key Details • Salary: £100,000–£130,000 + benefits, • Working model: Hybrid (3 days/week in London office), • Tech stack: Python, LLMs (OpenAI/Claude), Docker, CI/CD, microservices, AWS If you're a strong backend or platform engineer passionate about GenAI and excited to ship high-impact tools, this is the opportunity to step into it. Budget • Salary range: £100k–£130k base, • Benefits: Standard package, • Sponsorship: Yes, • Hybrid: 3 days/week (London HQ) Note: this role cannot sponsor Interested? Please apply below.

BMS Engineer Are you ready to take the lead on cutting-edge building automation and control systems projects across the UK and beyond? This is an exciting opportunity for a Senior Control Systems Engineer to join a leading international M&E consultancy that’s driving innovation in sustainable building design and digital infrastructure. With a strong focus on low-energy, zero-carbon design, this business supports clients across the full lifecycle of complex, technology-driven projects, from early-stage design through to commissioning and handover. You’ll be part of a collaborative, forward-thinking engineering team working on some of the most advanced buildings in the world, including data centres, R&D facilities, and critical environments. London - Hybrid Working • £55,000 - £75,000, • Bonus, • Hybrid Working, • Pension Scheme, • Healthcare Scheme, • Training Sponsorhip Responsibilities: • Supporting the production of detailed MEP control system designs and specifications for a variety of building types., • Developing points lists, sequence of operations, and functional specifications., • Producing schematics, network topology drawings, and control function diagrams., • Conducting condition surveys, preparing technical reports, and recommending improvement plans., • Representing the company at technical meetings with clients, contractors, and project stakeholders., • Specifying and attending FATs, SATs, and Integrated Systems Testing., • Overseeing commissioning activities and ensuring project delivery meets the highest standards. Experience Required: • HNC/BEng in a relevant engineering discipline (or equivalent experience)., • 5+ years’ experience as a Senior Engineer or above., • Strong understanding of building automation, instrumentation, and monitoring systems., • Proficiency in control system design, documentation, and reporting., • Experience with major control system vendors such as Schneider, Siemens, and Trend., • Solid understanding of networks, cabling, and network security., • Excellent communication, reporting, and client-facing skills., • Ability to lead projects, mentor others, and deliver to tight deadlines., • Flexibility to travel for international projects when required.

As a GPU Software Engineer, you’ll be translating innovative research into high-performance, high-quality GPU compute solutions—playing a key role in delivering next-generation media technology to the market. Hybrid working, 3 days onsite and 2 days working from home. Key Skills & Qualifications: • Degree in Electronics Engineering, Computer Science, or a related field., • Proven experience in video processing or similarly performance-critical applications., • Hands-on experience with Vulkan or other modern GPU APIs., • Strong background in C/C++ development, both in building new systems and enhancing existing ones., • Genuine enthusiasm for new ideas, a willingness to trust innovation, and the drive to execute effectively. Responsibilities: • Translate high-level mathematical models and research into production-ready encoder implementations using C++ and GPU compute technologies., • Develop cross-platform solutions for operating systems including Windows, Linux, iOS, and Android., • Enhance, maintain, and expand existing codebases (C/C++/Python)., • Integrate third-party commercial and open-source software components., • Produce clear and well-structured technical documentation, including specifications, APIs, and integration guides., • Support external partners and customers in integrating SDKs., • Test and evaluate complex signal processing code to ensure performance and reliability in production releases., • Manage your own workload with accurate time estimates, effective task prioritisation, and a focus on high-quality design.

Senior AI Software Engineer London £90,000-£130,000 I’m partnering with a dynamic AI consultancy that embeds itself within client businesses, listening closely, then building bespoke agentic AI solutions that automate processes, improve speed, and enhance decision-making. Role Responsibilities As a Senior AI Applied Engineer, you will: • Build & Deploy AI-Driven Software Solutions, • You’ll blend software engineering and AI expertise to develop scalable, production-grade systems leveraging generative AI and agentic automation., • Own Project-Based Work Across Diverse Domains, • You’ll tackle varied engagements, ranging in length and complexity, and support multiple clients., • Ensure Scalable and Reliable Deployment, • Your role includes end-to-end responsibility for deploying AI solutions that are robust, maintainable, and optimized for performance at scale., • Act as a Strong Team Contributor and Communicator, • While you won’t lead client engagements, you’ll work closely with clients and internal teams, translating client needs into technical solutions, requiring strong communication and stakeholder-facing capabilities., • Leverage Generative AI Expertise, • Utilise your hands-on experience with generative AI tools or workflows, prompt engineering, LLM integration, or similar, but the emphasis is on engineering implementation and delivery. Who We're Looking For Essential Qualifications & Experience • Strong software engineering background with deep experience deploying scalable systems, • At least some commercial experience using Generative AI exposure (e.g., LLMs, agentic interfaces, prompt engineering) but primarily strong engineering fluency, • Comfortable with project-based, delivery-focused work, even if no prior consultancy experience, • Confident in client-facing situations and able to collaborate effectively with non-technical stakeholders, • Reliable, consistent work history; this is a long-term growth-focused opportunity within an expanding team Ready to Apply? If this resonates with your background and career path, let’s talk. Please share your CV highlighting your engineering experience and where generative AI has featured, especially in deployment or integration roles.

Role: Back End Engineer (Python) Location: London (Hybrid) Inara are excited to be partnered with a pioneering AI ScaleUp, where they have built a platform that uses AI to transform how organisations tackle inefficiencies and scale their operations. Now we’re looking for a Backend & Integrations Engineer to help us bring that vision to life. This isn’t just another backend role, you’ll be hands-on with Python, APIs, and system integrations, while also championing the use of AI tools in day-to-day engineering. Think of it as coding meets next-gen automation. The role will be: • Designing and refining backend services that power our SaaS apps., • Developing integrations with external APIs and systems., • Taking automation-generated code and making it production-ready., • Embedding AI capabilities into workflows with strong safeguards and monitoring., • Helping the team get the most from AI-assisted development., • Partnering with product, data, and platform teams to deliver impactful features. You will need: • Solid Python skills and confidence working with APIs and databases., • Hands-on experience with integrations (APIs, file transfers, webhooks)., • Familiarity with workflow orchestration tools (e.g. Temporal, Dagster)., • Comfortable working with AI-driven coding tools and automated code generation., • Knowledge of CI/CD pipelines, containerisation (Docker), and cloud platforms (AWS/Azure/GCP)., • A curious mindset and enthusiasm for raising the team’s AI skills. If you’re excited by the idea of blending backend engineering with AI-powered development, we’d love to hear from you.

🤖 Machine Learning Engineer | Scalable AI Systems A fast-growing AI scale up is building the next generation of intelligent, high-performance systems - combining machine learning and systems optimization to power real-world applications at scale. As an ML Engineer, you’ll take models from idea to production - implementing, optimizing, and scaling them to handle massive workloads efficiently. You will be collaborating closely with other engineers to build AI systems that are reliable, maintainable, and ready for real-world deployment. 💡 What you’ll do: • Develop, deploy, and optimize ML models for production use, • Integrate & monitor AI pipelines with engineering teams, • Ensure models are efficient, scalable, & aligned with product goals If you’re excited to engineer AI systems that truly scale, this is your chance to make a meaningful impact.

Founding Engineer – Early-Stage, YC-Backed Startup (London / Hybrid) • Salary: £100k–140k, • Equity: 1–3% (founding-level), • Hybrid working: Central London, 3 days p/week in office., • Tech Stack: Python, TypeScript, React, LangChain, OpenAI/Anthropic I’m working with a YC-backed startup that’s building the next generation of AI-native analytics. This is a seed-stage, well-funded company with backing from top-tier VCs and prominent angel investors. High-trust environment. What They’re Looking For • Strong engineering background (ideally 5+ years)., • Proven experience shipping production LLM systems., • Hands-on experience with agentic/multi-step reasoning AI., • Familiar with modern AI tooling ., • Product-first mindset and excited about early-stage startup ownership. Founding Engineer – Early-Stage, YC-Backed Startup (London / Hybrid)

API Engineer (Python, FastAPIs) - 2/3 days a week in London numi are proud to be partnered with a technology company on a mission to make supply chains transparent and sustainable. They use earth observation and environmental monitoring to create a global data asset that will radically change how supply chain risk is managed. Our partner is a venture-backed, post-revenue company with a tight-knit founding team. This is a chance to join a high-growth startup and have a pivotal impact on the company’s mission. As an API Engineer, you'll be critical in ensuring complex data is easily accessible and consumable. You will design, build, and maintain robust, scalable, and well-documented APIs that power internal and external applications. What You'll Do • Build the Engine: Design, develop, and maintain high-performance, scalable, and secure RESTful APIs using Python, with a strong focus on FastAPI., • Integrate Data: Build efficient data querying mechanisms from structured databases., • Champion Best Practices: Uphold high standards for clean, maintainable, and well-tested code. Who We're Looking For You are a seasoned API builder with a proven track record of shipping high-quality services. You have strong expertise in FastAPI and a deep understanding of how to build production-grade APIs used at scale. Must Have: Strong expertise in Python and the FastAPI framework. Strong experience with both SQL and NoSQL databases, including schema design and query optimization. Nice to Have: Experience with data transformation tools like DBT. Proficiency with AI-powered development tools. Experience or interest in supply chain, agri-food tech, or geospatial platforms. Why You'll Love Working Here • Pivotal Impact: Your work will be at the core of our product and central to our company's success and mission., • Real Ownership: Receive a meaningful equity stake and be a true owner of the company’s journey. This is a fantastic role with interview underway so apply now!

Senior Data Engineer with 5+ years’ experience, and 2+ years in a Hedge Fund and/or in Systematic Trading Technology, sought by one of the original Quantitative Hedge Funds, with a 20+ year track-record. The firm are renowned for a healthy, supportive, and collegiate working environment and culture, with no siloes, boasting an industry-leading staff tenure. You will join a 5-strong Data Engineering team in a Senior Individual Contributor capacity, working directly with Quant Researchers, Portfolio Managers and Traders, and designing and engineering the ingestion, storage, transformation and distribution of tick, timeseries, reference and alternative datasets. The technology stack spanson-premise and cloud infrastructure with technologies and tooling such as Python, dbt, KDB+, Snowflake, SQL, interfacing with Market Data vendors such as Bloomberg, Refinitiv, Factset and MorningStar. This is an exciting time for you to join the team they consolidate our technology estate, revamp how they process and filter data, and overhaul the way data is accessed by their consumers, while continuing to onboard new datasets that enhance their strategies. They are a lean team owning end-to-end delivery from initial design through to operational support in production. Requirements • 5+ years working as a Data Engineer with 2+ years in Financial Markets, especially in a Hedge Fund, Trading Firm, and/or working with Quant Trading Technology., • Expertise in Python, including popular Python libraries for data wrangling, such as Pandas, NumPy, and SQLAlchemy., • Experience working with traditional SQL databases (e.g. PostgreSQL, MySQL, SQL Server) and cloud data warehouses (e.g. Snowflake, Databricks, BigQuery, Redshift)., • Experience with time-series data, and/or implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset….), • SDLC and DevOps: Git, Docker, Jenkins/TeamCity, monitoring, testing, agile practices., • Passionate about code quality, data integrity, and building scalable and robust systems., • Ability to communicate clearly with technical and non-technical colleagues. This hire has been budgeted at a salary of £130K, plus excellent benefits and company pension contributions, along with a healthy annual bonus and an opportunity to participate in their Management Incentive Scheme. Applicants must be able to work onsite in Central London 3 or more days per week. This is an incredible opportunity to join a world-class firm and to forge a long-term career in a genuinely supportive and learning-focused working environment. Please apply below or contact for more information.

Founding Software Engineer 📍 Hybrid — London/Athens 🕒 Full-time | Mid/Senior Level 🚀 Founding Team About Us Inferity is transforming how teams search, analyze, and understand frontline video. From hours of unstructured body cam or incident footage to complex multi-source workflows, our AI-driven platform turns video into structured, decision-ready insights. We’re building AI agents that reason across video, audio, language, and metadata, powering real-world workflows where accuracy, speed, context, and clarity are essential. The Role We’re looking for a Founding Software Engineer to lead backend and infrastructure development for our category-defining video understanding product. From data ingestion pipelines to scalable APIs, you’ll blend backend engineering and DevOps to turn cutting-edge AI into a production-ready platform. As part of the founding team, you’ll design and implement system architecture, backend services, and cloud infrastructure, working closely with AI scientists and full stack engineers to deliver a scalable, reliable product. Why Join Us 🎯 Work on impactful AI that improves safety, trust, service quality and decision-making 🚀 Founding team equity 🛠 Deep technical challenges, exposure to the latest AI developments 💬 End-to-end ownership + product influence 🌍 Flexible location (London/Athens hubs) Key Responsibilities • Architect and implement the backend platform for data processing, search, and advanced reasoning, • Design scalable systems and APIs for data-intensive, low-latency workflows, • Optimize database interactions for high-speed visual search and reasoning, • Manage cloud infrastructure (compute, networking, storage, security, observability), • Set up CI/CD pipelines for fast, reliable deployments, • Deploy and integrate AI/ML models into production pipelines, • Take a product-first approach: asking “why,” not just “how” What You’ll Need Essential Skills • Startup Mindset: Bias for action, ownership, comfort with ambiguity, • Backend Development: Python (FastAPI, Flask) + microservices, • Distributed Systems: Scaling high-volume data systems, • Cloud: AWS/GCP/Azure (ECS/EKS, S3, Lambda, IAM or similar), • Databases: PostgreSQL + strong data modeling, • Containers: Docker; orchestration tools, • Infra as Code: Terraform, CloudFormation, • Monitoring: Prometheus, Grafana, ELK, • Security & Compliance: Data protection and access control Nice-to-Haves • AI/ML integration (PyTorch, HF etc.), • MLOps (MLflow, Kubeflow, SageMaker), • Vector search (Pinecone, pgvector, Weaviate, Qdrant etc.), • Video ingestion pipelines & codecs 💡Don’t worry if you haven’t used these exact tools. If you’ve built and scaled similar systems, we’d love to hear from you. Next Steps Apply here or email us at with your CV, GitHub, or just a note on why this role excites you. 🚀

C++ Engineer – Core Trading Systems This role offers the opportunity to work on systems where nanoseconds matter, reliability is critical, and engineering excellence directly drives performance in global markets. The organisation is a leading quantitative investment firm powered by research, technology, and data. Independent investment teams operate on a shared foundation: a proprietary, state-of-the-art trading platform. The Core Technology Team is responsible for building and optimising this platform, which serves as the central nervous system of the firm’s trading operations. The C++ Engineer will work on a small team of world-class engineers, owning problems end-to-end and deploying solutions with immediate firmwide impact. The scope includes both greenfield development and scaling of existing systems, with exposure to every part of the business, from trading and research to operations and risk. Responsibilities: • Design and optimise critical components of the trading platform, including exchange and broker connectivity, order management, feed handlers, deployment pipelines, and monitoring systems., • Push the boundaries of modern C++ for low-latency optimisation, template metaprogramming, lock-free concurrency, and high-throughput networking., • Collaborate closely with traders, researchers, and operations staff to translate requirements into high-impact features., • Lead new initiatives while enhancing and scaling production systems., • Take ownership across the full development lifecycle, including architecture, implementation, deployment, and participation in on-call rotations. Candidate Profile: • Expertise in modern C++ (C++17/20), with deep understanding of performance-critical programming and memory management., • Strong computer science fundamentals, including algorithms, data structures, concurrency, operating systems, and networking., • Experience with distributed systems, low-latency environments, or other high-performance domains (finance background not required)., • Familiarity with Python is a plus., • Intellectual curiosity, attention to detail, and a relentless drive for performance and reliability. Value Proposition: • Immediate impact: contributions go directly into production and affect live trading., • Small, focused team: close collaboration with senior engineers in a non-bureaucratic environment., • Technical frontier: solving problems with no textbook answers and pushing the limits of C++ and systems engineering., • Uncapped reward: compensation reflects talent and direct impact on firm performance., • Global reach: opportunity to build infrastructure that powers trading across markets and asset classes worldwide. Pre-Application: • Please do not apply if you're looking for a contract or remote work., • You must be eligible to live and work in the UK, without requiring sponsorship., • Please ensure you meet the required experience section prior to applying., • Allow 1-5 working days for a response to any job enquiry., • Your application is subject to our privacy policy, found here: ___, • Your application is subject to our privacy policy, found here:

Job Title: Oracle PLM Service Engineer Location: Hybrid in London (2-3 days) Employment Type: 6 month FTC Salary: Competitive Start Date: Immediate Industry: Enterprise MSP An established consultancy delivering large-scale Oracle Cloud ERP & SCM solutions is seeking an experienced Oracle PLM Service Engineer to support and enhance their Oracle Cloud Product Lifecycle Management (PLM) environment - primarily across Product Development (PD) and Product Data Hub (PDH) modules. This is a hands-on production support role for someone who understands both PLM business processes and the technical configurations behind them. You’ll handle everything from L1 support and issue triage to patch testing, API integrations, and post-production support. Oracle PLM Service Engineer – Key Responsibilities • Provide L1 production support for Oracle Cloud PLM – Product Development (PD) and Product Data Hub (PDH), • Perform root cause analysis for recurring issues and incidents, • Configure and maintain Oracle PLM components and handle customizations, • Conduct API integration testing and support system connectivity across modules, • Manage Agile data migration activities and troubleshoot related issues, • Deliver post-production support / hypercare services after deployments, • Create and maintain custom reports using Oracle tools, • Perform quarterly configuration reviews, patch validations, and testing, • Prioritize and manage support tickets and enhancement requests, • Collaborate with cross-functional teams (IT, Product, and Business) to ensure smooth PLM operations Oracle PLM Service Engineer – Key Skills Required • 5+ years’ experience supporting Oracle Cloud PLM solutions, • Solid understanding of Product Lifecycle Management principles, • Hands-on experience with Oracle PDH configurations and customizations, • Working knowledge of API integration and testing methodologies, • Experience building or maintaining custom Oracle reports, • Background in Agile data migration and related tools/processes, • Strong skills in system validation, patch testing, and issue resolution, • Analytical mindset with excellent troubleshooting skills, • Strong communication abilities — comfortable working with both technical and business teams Please apply now if this role is of interest.

Principal Engineer London Hybrid £100,000-£170,000 + bonus + benefits We’re working with a rapidly growing tech for good company that is transforming how data, automation, and smart integrations shape the future of digital infrastructure. Their platform optimises real-time operations, connecting users with seamless, intelligent technology solutions. We are looking for Principal Engineer with deep expertise in Kotlin to help scale and enhance their high performance systems. This is an opportunity to work with modern backend architecture, collaborating with top-tier engineers in a fast-moving, product-focused environment. Responsibilities as a Principal Engineer: • Contribute to the businesses technology strategy and architecture, • Contribute to the backend Kotlin infrastructure, • Ship resilient and well tested production code, • Collaborate with different teams to deliver value that aligns to business objectives, • Mentor and coach more junior members of the team, • Continuously evolve and improve the ways of working in the business Key Requirements: • Strong commercial experience in the Kotlin ecosystem for backend development, • Confidence to work with Spring Boot or Ktor to build robust microservices, • Strong ability to write secure, resilient, and well-tested code, • Ability to align engineering to ambitious commercial objectives, • Experience in line management responsibilities while remaining deeply technical, • Desire for building API-first products, • Deep understanding of software design patterns, SOLID principles, and test-driven development, • Experience with Agile methodologies, including peer reviews & pair programming., • Ability to translate business needs into scalable technical solutions Benefits: • Competitive salary and bonus, • Hybrid office / remote-working practices, • Private Health Insurance, • Pension Scheme, • Life Assurance Scheme with death in service benefit of 4x salary This is a career defining Principal Engineer position with the potential to have a massive impact on the technology strategy of a business that is directly shaping the future of intelligent digital infrastructure. Unfortunately, due to the high volume of applications, not all applicants will receive feedback.

Our vision From blockbuster films and AAA games to immersive experiences, the demand for photo-real 3D content has never been higher - but creating photorealistic assets is slow, expensive, and manual with no current scalable solution available. At M-XR, our mission is to democratise the creation of high-quality 3D assets and empower brands, studios, and creators to build infinite photo-real 3D experiences. Our proprietary technology Marso allows anyone to capture real-world objects into production-ready photorealistic digital twins with unmatched material (PBR) accuracy - enabling the first real-world PBR capture pipeline that can operate anywhere. Marso is trusted by the most demanding studios in film and gaming. We see the future of 3D as AI-assisted, and we’re building the tech to make that happen. We are creating the world’s highest quality and most comprehensive 3D-PBR data-set and training the next generation of AI models to assist artist workflows. See the result yourself — passcode: scaneverything About the role ✨ We are looking for a Senior Backend Engineer to join the team and be the driving force that designs, builds and scales the backend application services for our web platform. At M-XR we developed Marso as a way to capture real-world PBR material data alongside conventional photogrammetry from simple flash photography. Marso is now actively being used by an array of studios, brands & museums to digitise previously unobtainable assets at scale. This gives us one of the most unique and physically accurate 3D datasets in the world. Now we’re building an ML-powered pipeline that can automatically predict material properties (diffuse, roughness, specular, metallic, normals) from photogrammetry input alone - without flash. This is made possible by tapping into our uniquely rich dataset of real-world material scans. Our goal is to remove the need for manual texturing and enable full end-to-end automation, from photos to PBR assets at high fidelity and scale. You’ll be helping bring this technology to market. We are creating a web SaaS platform that will bring completely new capabilities for PBR generation to artists world-wide based on state-of-the-art AI models that we create. Where you will have impact! 🚀 As the Senior Backend Engineer for our web platform, you’ll be responsible for bringing a completely new product to market based on state-of-the-art AI capabilities. You will: • Define, build and maintain the backend application services for our web SaaS platform, enabling new 3D-PBR asset creation workflows., • Work with frontend developers to design and implement high-performance APIs that deliver exceptional user experiences., • Integrate with ML infrastructure to orchestrate model workflows, manage job queues, and deliver results to users. This is a high-impact role for someone that loves to define and bring completely new technologies to market - with the experience that defines how we do it. What you will do • Design and implement user-facing APIs to support frontend user flows (FastAPI), • Build robust user authentication, authorisation, and account management (Auth0), • Integrate payment processing and subscription management (Stripe), • Design and manage user databases and data models (MongoDB, PostgreSQL), • Implement asset storage, retrieval, and management systems (AWS S3), • Build job queue management for async ML workflows (SNS, SQS), • Setup application monitoring and logging (CloudWatch, Grafana, Prometheus), • Implement CI/CD for application deployment (Bitbucket Pipelines), • Create API documentation and developer tools What we are looking for • 5+ years backend development experience with production applications, • Track record with at least one live application currently serving users in production, • Proven experience designing and implementing RESTful APIs at scale, • Strong experience with Python and modern web frameworks, • Comfortable working in TypeScript for frontend integration debugging, • Experience in building infrastructure for image / video / 3D or graphics-intensive / data-intensive web apps Bonus points • Experience working with researchers, product engineering and product managers bringing new AI capabilities to market, • A love of games, films and understanding of photogrammetry, scanning, graphis, rendering and AAA 3D asset creation. What we offer • The chance to shape the future of 3D content creation in a fast-moving startup, • Direct contact & close relationships with some of the biggest game & film studios globally using M-XR's technology, • Work with passionate engineers, artists, and researchers at the frontier of graphics & AI, • Unique opportunities for professional growth, autonomy, and leadership, • Competitive salary and equity, • Flexible hybrid working, • Visa sponsorship for international candidates Interested? If you are interested in this role, we would love to hear from you! Please email us at List the job title in the description, and please provide a cover letter & CV.

About the Job Senior Fullstack Engineer (React / .Net) – London (Victoria) | Hybrid £80k - £110k Are you ready to craft the next generation of data-driven digital experiences for one of Europe’s most technically advanced SaaS innovators? Our client, a pioneer in B2B SaaS solutions, is building “Your Shipping Analytics Supercomputer”, providing cutting-edge data visualisation and dynamic dashboards for high-velocity business & artificial intelligence. About the Role As a Senior Full-stack Engineer, you’ll play a key role in architecting and developing scalable, high-performance web applications that bring complex data to life. Working across both frontend (React, TypeScript) and backend (.NET Core, C#) technologies, you’ll collaborate with product, design, and data science teams to create seamless, intelligent solutions that define the future of shipping analytics. This is a hands-on engineering role that combines deep technical problem-solving with creativity and collaboration, ideal for someone who thrives in fast-paced, high-growth environments. What You’ll Bring • 5+ years of experience building large-scale, production-grade web applications., • Strong proficiency with React, TypeScript/JavaScript, HTML, and CSS., • Proven experience with C#, .NET Core, and SQL-based databases., • Understanding of Design Patterns and SOLID principles., • Experience designing and consuming RESTful APIs., • Familiarity with Azure or other cloud platforms and configuration management., • Experience with Agile/SCRUM methodologies and modern CI/CD practices. Why Join? • Bootstrapped success story - with multiple thriving business arms., • An executive team with 65+ years of collective experience in shipping management., • Fresh from a £100m AI start-up exit, they’re focusing all their attention on this next big venture. This is an outstanding opportunity to design and deliver the front-end of a platform that’s redefining how businesses interact with data. If you’re a passionate engineer who loves solving complex problems through clean, intelligent design — let’s connect!

About our Gen AI team Our Gen AI team brings together top engineers, diverse perspectives, and a flat team structure that gives you visibility and impact from day one! With 40–50 people across, we work on some of the most exciting projects in the market, from next-gen fintech payment platforms to global insurance systems rolled out across multiple countries. Where Purpose Meets Career • Technology – this is a true full stack role. You’ll have exposure to a wide range of technology with constant upskilling alongside highly talented peers. AI is at the forefront of the business and you will have the opportunity to make significant contributions to the work we deliver for our customers, • Autonomy - as you develop you will own projects end-to-end, from design to delivery., • Culture – if you love tech, you will fit right in with our team. We are innovative and supportive, thriving on curiosity, creativity, and learning. Your Future Role As a Full Stack Engineer, you’ll be responsible for designing, developing, and deploying solutions that solve complex business problems. You’ll work closely with clients and colleagues, moving quickly from concept to production. You’ll do this by having: • A STEM background (Computer Science, Maths, Physics, Engineering or similar)., • A demonstrable love of technology - whether through academic work, personal projects, or professional experience., • Familiarity with coding (any language - we value aptitude over specific stacks)., • Interest in modern tech such as AI, generative models, cloud platforms, or large language models., • Strong communication and teamwork skills. Your Benefits, Your Way • 25 days annual leave (with option to purchase additional days), • Private Healthcare, • Life Assurance, • Income Protection, • Pension contribution matched up to 10%, • Flexible benefits – tailor your package with options for wellbeing, family support and more Selection Process • Recruiter introduction, • Online test - circa 35 mins to be completed in your own time, • Technical interview with hiring manager (Head of Gen AI practice)

[Up to c. £200k Comp Package | Hybrid Working - 4 Days in Office] Role Overview We’re supporting a world-leading quantitative trading firm in the search for an Experienced Software Developer/Engineer to join their OTC technology group in London. This team designs and develops high-performance trading platforms that span both OTC liquidity provision and on-venue execution, covering asset classes such as equities, FX, and crypto. Operating within a highly autonomous environment, the team works closely with quants, risk and compliance stakeholders, and trading analysts to transform requirements into production-grade systems. With a focus on safety, performance, and velocity, this is a chance to contribute to the design of mission-critical infrastructure with a small, experienced group of engineers where impact is immediate and highly visible... Key Responsibilities • Design, build, and maintain OTC trading systems spanning pricing, risk controls, venue connectivity, and algorithmic execution, • Translate business, model, and control requirements into performant, scalable code with an emphasis on correctness and reliability, • Work closely with quants, analysts, and compliance stakeholders to refine system requirements and deliver production-ready solutions, • Implement and optimise low-latency infrastructure, including network stack integration, thread-per-core architectures, and performance tuning, • Contribute to team-wide design discussions, code reviews, and continuous improvement initiatives, • Take ownership of projects across the full development lifecycle, from architecture through deployment and monitoring What You’ll Bring... • 4+ years hands-on experience building distributed or performance-sensitive systems, ideally with microsecond-level latency or high-throughput requirements, • Proven coding ability in Kotlin, or another object-oriented language such as Java (preferred), C++ or C#, • Familiarity with Linux APIs and comfort developing in a Linux-based environment, • Strong computer science fundamentals with several years’ experience in professional software development, • Experience applying modern testing approaches to ensure robustness and safety of critical systems, • Collaborative and pragmatic approach to code reviews, focusing on correctness and clarity, • Curiosity about financial markets; prior trading experience is preferred ...

About Us Every business needs to know who they’re really working with whether it’s suppliers, investors, partners, or third parties. At Xapien, we’re reinventing how organisations do that, combining speed, scale and accuracy with cutting-edge AI. Since 2018, we’ve grown from a deep-tech startup to a global player in AI-driven due diligence and risk intelligence. 2024 was a landmark year as we closed a $10M (£8M) Series A, earned recognition in the Chartis RiskTech100® and Everest Group’s Leading 50™, and expanded our products, markets and customer base. 2025 has already been even bigger: With new regulations, rising compliance pressure and growing reputation risks, organisations everywhere are demanding smarter, faster ways to work and they’re turning to us. Customers worldwide from global law firms and private banks to universities and nonprofits rely on Xapien to turn days of manual research into trusted insights, delivered in minutes. Our momentum so far Customers in a diverse range of industries, with particular growth in wealth management, insurance, financial services and supply chain onboarding. Demand accelerating beyond our UK headquarters, across multiple continents with new customers in the Middle East, Asia, and Oceania. Why this is an exciting time to join This is not just another tech job, it’s a chance to shape the direction of the due diligence industry with our market-leading product. Whether you’re in engineering, data science, product, AI/ML or infrastructure, you’ll be solving hard, high-impact problems: scaling distributed systems to fuel explosive growth, making sense of multilingual and unstructured data, applying AI/ML to real-world risk, and delivering insights that organisations can trust in high-stakes environments. We’re scaling fast with more customers, more releases, bigger regulatory challenges and a growing expectation that “due diligence” means not only real-time insight, but conducted at pace and cost-efficiency. You won’t just be shipping features, you’ll be shaping architecture, tooling, models, and pushing the boundaries of what’s possible. For people who love learning The Challenge Our product is experiencing tremendous demand, presenting us with the exciting challenge of scaling our platform and technology. We need to deliver accurate insights while doubling down on how we architect, coordinate, and maintain our subsystems. We’re doing all of this against a backdrop of continuous innovation and refinement. The Role We are looking for a Fullstack Engineer (Go + React) to help scale and evolve the core Xapien platform as we grow rapidly. Working directly with our Head of Engineering, you will play a key role in shaping the future of our product. This position involves a mix of backend and frontend development, systems design, and collaborative problem solving across the stack. We are seeking someone with a strong background in modern web development and microservice architecture, and a mindset for clean, maintainable code. Here’s what you will be responsible for: • Designing and building scalable microservices in Go, as part of a growing platform architecture., • Developing intuitive and performant React components to enhance our frontend experience., • Collaborating closely with product and design teams to turn complex user needs into elegant technical solutions., • Writing clean, testable, and maintainable code across the stack., • Participating in architectural discussions and helping shape engineering best practices., • Troubleshooting and resolving production issues across services and systems., • Contributing to CI/CD pipelines, observability, and automation alongside platform engineers. Your Skills & Experience: Must-haves to be successful in this role: • Strong experience writing backend services in Go., • Proficiency in React and modern JavaScript/TypeScript., • Solid understanding of microservices architecture, RESTful APIs, and service-to-service communication., • Experience working with cloud infrastructure (e.g. AWS, GCP or Azure)., • Strong grasp of software engineering fundamentals: testing, documentation, performance, reliability., • Excellent communication and collaboration skills: you're comfortable working cross-functionally with engineers, designers, and product managers., • A team-first mindset: open to feedback, different perspectives, and alternative approaches to coding and code styles. Nobody can do everything, but here are a few related things we’re interested in: • Experience working lower in the stack, e.g., databases, infrastructure, Kubernetes, or observability tooling., • Exposure to CI/CD tooling, • Interest in natural language processing, AI, or distributed systems. Here’s our promise to you: • We are going to work with you – to build a rewarding and fulfilling career with the opportunities, challenges and resources you need to do your best work., • We succeed together – you will own a meaningful part of the business through our employee shares & equity programme., • Private health insurance to keep you in tip-top condition., • Life Insurance – let's hope nobody ever needs this!, • Unlimited holidays – yes, it really is uncapped – take the time you need, when you need it., • Everyone is learning, developing and challenging themselves – so we have a £1k professional development fund per year if you want to learn new skills, even new things outside of work., • Most importantly of all, we will work with you to help you realise your fullest potential, always.

Please note this Role is based in London, local candidates only! Solvo.ai is redefining global container shipping with AI. We build machine learning systems that power intelligent, sustainable, and profitable decision-making for one of the world’s most complex industries. Nothing we do is hypothetical. Everything we do has a measurable impact. Our combined experience of over 100 years in logistics, artificial intelligence and scaling startups allows us to innovate boundlessly, constantly push the frontiers of what’s possible, and generate revolutionary tools to deliver business impact to our customers. We stand proudly, not just for what we achieve, but for how we achieve it - creating trust through professionalism, integrity, and transparency. The role: We are looking for an exceptional Machine Learning Engineer (MLE) to join our team and accelerate the next generation of Solvo’s AI products. This is a hands-on role at the intersection of research and production, where your work will ensure our customers get maximum value out of our solutions. The ideal candidate for this role will get stuck in across the organisation, moving naturally from intricate data analysis, through detailed ML considerations and onto the broader business context. You will have the freedom to propose, research and implement innovative new ideas to improve our system. If you want to apply cutting-edge machine learning to a trillion-dollar industry, and you’re motivated by seeing your work have immediate business impact, we’d love to hear from you. Your responsibilities • Innovate on Solvo’s modelling and decision making solution., • Create value for customers through application of ML principles and best practice., • Strive for high quality and robust outcomes., • Continuously ensure we are using the most appropriate ML modelling techniques for customer projects and our product offerings., • Design and develop production-grade software, ensuring scalability and performance., • Collaborate closely with scientists and engineers in an agile team environment., • Facilitate understanding of our AI solutions internally and externally., • Continuously develop your own AI/ML and engineering skills. Essential skills and experience • Academic or industrial research experience in machine learning, especially probabilistic models and Bayesian statistics., • Proficiency in designing and programming advanced ML algorithms., • Ability to apply state-of-the-art research to real-world problems., • Proficiency in operating and evolving advanced ML systems in a production environment., • Strong communication skills with the ability to convey complex ideas to both technical and non-technical audiences., • Advanced degree (PhD/MSc) in a relevant field (e.g., Computer Science, Statistics, Applied Mathematics)., • Experience working in an agile team environment. Desired qualifications, skills and experience • PhD degree in a relevant field., • Good working knowledge of optimisation (linear programming)., • Strong experience with Python and standard ML libraries., • Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure). Equal employment opportunity Solvo.ai is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Benefits • A competitive compensation package including equity, • Career growth opportunities on a personal and professional level, • Be part of a very talented, collaborative team that continuously strives for innovative solutions, • A friendly work environment where you are expected to challenge and be challenged every single day, • 25 days paid holiday Job type: full-time; permanent contract; On-site (hybrid)Location London, United Kingdom

Build the most accurate putting simulator for mobile. We’re PuttOUT - a design-led brand known for inventive and beautifully made golf training products. Now, we’re bringing that same spirit of quality and innovation to software: a putting simulator for iPhone that pairs with our ‘AirBreak’ putting platform, using on-device machine learning to turn putting practice into interactive game modes and skills challenges. What you’ll do: • Lead development of our iOS putting simulator app – evolve a working MVP that already detects the playing surface, balls and putts into a stable, production-ready app., • Refine computer vision - real-time object detection and tracking using Core ML / Vision (or similar frameworks such as OpenCV or PyTorch)., • Balance accuracy and performance - deliver fast, thermally efficient gameplay on iPhone., • Collaborate directly with our CEO (a former developer) and Chief Product Officer, to make key architectural decisions., • Own the codebase – build on our MVP or start from scratch to create well-structured and maintainable code. What you’ll bring: • Strong track record of shipping iOS apps in Swift using native frameworks., • Experience integrating and optimising on-device machine-learning or computer-vision models., • Engineer for accuracy and responsiveness - balancing performance and thermal limits while keeping the codebase simple to test and extend., • Able to explain decisions and trade-offs clearly to non-technical colleagues. Why join PuttOUT? We’re a small, ambitious team that values flexibility and craft. You’ll see your work in the hands of real golfers worldwide, used in coaching sessions, home practice, and pro shops, and have real ownership of how the product evolves. Hybrid working (ideally two days a week in London, flexible for the right UK-based candidate). Salary £70 – £80k + benefits. How to apply Apply through LinkedIn or email with the subject line: “[Your Name] / Lead Developer” Include: • A short note on why this role interests you (max 1 page), • Your CV (we care more about impact than job titles) Applications reviewed on a rolling basis, and we will schedule interviews promptly. Please note that we are unable to sponsor visas for this role.

Years of Experience: 3- 5+ years Skills: Go, Java, Git, REST Web Services, Jenkins, NoSQL, Postgres/ql Based in London Victoria or Burgess Hill Enthusiastic, diligent Senior Golang Software Engineer to work on the global Loyalty and Benefits platform in American Express. The candidate should have excellent soft skills, strong technical ability with an extensive passion to learn. A modern microservice-based Loyalty and Benefits platform, designed to be able to handle all aspects of the Loyalty and Benefits customer experience, globally. Built using modern tools such as Golang, Kafka and Docker, there is ample opportunity to drive innovation and grow knowledge and skills as an Engineer. As a Software Engineer on an Scrum team, you will be building and enhancing features in the Account domain. You will also coordinate and work with other Engineers across the platform to share knowledge and principals. Required: · Demonstrable experience in at least one back-end type safe programming language (Golang Preferred) · Comfortable/experienced with back-end micro-service architecture and communication, specifically REST and asynchronous messaging services (e.g., Kafka, RabbitMQ etc.) · Comfortable/experience within a Scrum framework working with as part of a team to deliver business functions and customer journeys that are tested and automated throughout the CICD pipeline to production Desired: · Bachelors Degree in computer science, computer engineering, or other technical discipline, or equivalent work experience. · Experience in professional software development. · Solid understanding of test-driven development, including unit, component, functional, system integration and regression tests. · Knowledge of software engineering methodology (Agile, incl Scrum, Kanban, SAFe, Test-Driven Development (TDD), Behavior Driven Development (BDD) and Waterfall) Knowledge of any or all of the following technologies is desired: Kafka, Postgres, Golang, Git, gRPC, Docker, GraphQL · Experienced in continuous integration (CI), continuous deployment (CD) and continuous testing (CT), including tools such as Jenkins, Rally and/or JIRA and version control such as GIT or SVN.

Machine Learning Engineer | Generative AI | AWS | End-to-End ML Solutions Location: London-based | Hybrid Please note: Sponsorship is not offered for this position We’re working with a leading organisation on a mission to become one of the most insight-driven businesses in its sector, placing machine learning and generative AI at the core of customer experiences, operational optimisation, and strategic decision-making. This is a fantastic opportunity for a skilled Machine Learning Engineer to build and deploy scalable, production-level ML solutions, working closely with Data Scientists and cross-functional teams to drive measurable business impact. You’ll play a pivotal role in integrating machine learning models into end-to-end pipelines, supporting strategic initiatives such as customer engagement, automated insights, and decision-support tooling. You’ll also contribute to shaping the frameworks, infrastructure, and shared tooling that enable safe, responsible, and efficient AI experimentation and deployment. If you’re passionate about problem-solving, applying ML to real-world challenges, and bringing ideas to life in production environments, this role is a great fit. What You’ll Be Doing Machine Learning Engineering • Build, deploy, and maintain ML models as services, streaming applications, or batch jobs across real-time and offline platforms., • Develop scalable model APIs with strong CI/CD and observability practices., • Implement model testing, monitoring, and rollback capabilities in production environments., • Collaborate with Data Scientists to translate prototypes into reliable, maintainable ML applications., • Automate and standardise ML infrastructure using Docker, Kubernetes, and Terraform., • Support and develop monitoring dashboards for key ML and AI services., • Ensure cloud-native, secure, and cost-efficient deployments in AWS environments., • Adhere to governance, risk, and compliance obligations relevant to the role., • Identify and escalate non-compliance issues when necessary., • Proactively challenge processes that may impact compliance standards., • Complete all mandatory compliance training and engage with compliance teams for clarification when needed. What You’ll Bring • 3–5 years of experience in machine learning engineering and data science., • Advanced degree (PhD or Master’s) in a numerate discipline., • Excellent programming skills in Java and Python for production systems., • Strong foundations in machine learning and data science., • Experience deploying ML models as APIs, batch jobs, or streaming services (e.g., Kafka Streams)., • Proficiency in containerised application deployment with Kubernetes., • Demonstrated experience building ML solutions from concept to delivery., • Strong cloud engineering skills (AWS preferred; Terraform or CloudFormation a plus)., • Excellent communication and collaboration skills., • Up-to-date knowledge of modern ML and AI developments. Why Join This is a chance to work on impactful machine learning use cases that shape the future of customer experiences and business operations. You’ll be part of a collaborative environment where innovation is encouraged, and you’ll have the autonomy to influence tooling, frameworks, and production ML strategy. Please note: Sponsorship is not offered for this position. Candidates must have the existing right to work in the relevant location.

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: Ripple is an established fintech company revolutionizing global finance with blockchain technology, offering a wide variety of financial services, including cross-border payments, institutional crypto liquidity, digital asset custody, and our enterprise-grade stablecoin RLUSD. As a Software Engineer at Ripple, you'll work on payment technologies, building scalable solutions that power the future of finance. Your primary responsibilities will be for a core part of the Payments offerings, Bank Integrations. This means serving as the single connectivity layer to banking partners, ensuring that data exchanged with external financial institutions remains correct, reliable, and always available. You will be responsible for facilitating the smooth distribution of this data from the connectivity layer to other parts of the company, powering both live production payment flows and reconciliation operations. The work includes maintaining and strengthening integrations with banking partners, resolving technical debt to improve stability, and evolving the platform to meet new business and compliance requirements. By advancing an already established production system, you will play a key role in increasing scale, efficiency, and observability, ensuring Ripple products interact seamlessly with global banks and payment providers in a consistent and trustworthy way. We are looking for a software engineer passionate about learning and understanding the way a complex fintech system works end-to-end and can help drive forward the development. A passion for making systems better and getting to the optimal solution with the right level of trade-offs is what will make you successful in this role. WHAT YOU’LL DO: • Integrate with new bank APIs and normalize to the internal system schema. Solving any bespoke integration approaches that will come up., • Advance the system forward to an optimal state with clear boundaries and responsibilities, • Work on our internal trading system (Prisma), • Work on a variety of challenges spanning crypto, trading, fintech, and payment solutions., • Fully integrate into a large system and spot opportunities for improvements and best practices., • Experience building highly scalable and performant enterprise software, • Working knowledge of Java and its ecosystem (i.e. threading, concurrency ... etc)., • A positive attitude and a passion for sharing knowledge - the go-to person on the team for small and large questions, • Interest in fintech, markets, and trading is a must., • knowledge or high interest in our main tools: Java, event-driven architectures (AMQP or similar), gRPC, service meshes, etc. Do Your Best Work • The opportunity to build in a fast-paced start-up environment with experienced industry leaders, • A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning., • Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team., • In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in., • Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team, • Competitive salary, bonuses, and equity, • Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support, • Employee giving match, • R&R days so you can rest and recharge, • Generous wellness reimbursement and weekly onsite & virtual programming, • Generous vacation policy - work with your manager to take time off when you need it, • Industry-leading parental leave policies. Family planning benefits.

Safe Intelligence is on a mission to make AI safe and reliable for everyone. To help us achieve this, we're seeking a Front End Software Engineer to join our team! We're particularly looking for someone with strong front end engineering and Typescript experience and with some experience of backend development (ideally in Golang). In this role, you'll be a key contributor to the development and operation of our cutting-edge cloud-based platform. You should have a passion for both science and engineering, a proven ability to deliver production-ready solutions, and a collaborative spirit to work closely with our product and research teams. The role is hybrid with 3-4 days / week in the office in London (Hammersmith). We're excited to have you contribute to our mission! Responsibilities: As a Safe Intelligence Front End Software Engineer, you will: • Make key contributions to software development on our TypeScript-based frontend systems, primarily utilizing React to craft intuitive and highly functional user interfaces., • Develop simple and intuitive UI to enable workflows around testing and validating Machine Learning systems with an eye to scalability, and asynchronous interactions., • Interface with Golang-based cloud backend systems, focusing on API interactions and integration., • Work proficiently across the entire stack to develop and integrate new features related to model versioning, dataset management, verification workflows, and result/metric aggregations. Requirements: The technical requirements for the role are: Must have • Strong proficiency in JavaScript/TypeScript-based frontend development, with extensive expertise in React. This includes a deep understanding of the DOM, component design, CSS, and state management., • Solid performance and security knowledge: profiling, memoization, code-splitting, tree-shaking, bundle analysis, Core Web Vitals, OAuth2/OIDC, JWT handling, CSRF/XSS mitigation, CSP/SRI, dependency hygiene., • Proven experience interacting with and co-designing production-grade RESTful APIs ideally with an API-first approach., • Strong knowledge of frontend polling and other async interactions patterns such as: polling/SSE/WebSockets for long-running tasks, optimistic updates, progress states, idempotent actions., • Proficiency in integration, component and unit testing, with a strong commitment to code quality and maintainability., • Strong knowledge of DevOps and Git best practices. Experience automating version control, testing, and releases, preferably with GitHub Actions. Nice to have • Some experience in backend system development (ideally using Golang). This includes knowledge of database (MongoDB) access patterns (e.g., Optimistic Concurrency Control - OCC) and schema design, domain-driven architecture, and concurrency., • Familiarity with the OpenAPI specification and code generation toolsets for API development., • Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning are also beneficial. At a personal level we’re also looking for someone who is: • Passionate about delivering software to realise safe AI solutions in line with client needs., • Deeply technical and constantly in a state of learning., • Able to communicate clearly and efficiently with a variety of audiences including developers, clients, researchers, partners and executives., • Fearless in getting "hands-on" with technology and execution., • Has a strong understanding of modern software engineering processes., • Comfortable with ambiguity with a drive for clarity., • Collaborative with, and respectful of others on the team., • Honest, straightforward and caring about each other’s well being. Why Safe Intelligence is for you: We strongly believe AI can empower individuals and society to be happier and more productive, but this can only be achieved if the systems we build are safe to use. To meet this need, we are developing advanced deep validation techniques and tools that allow AI/ML engineers world-wide to validate the robustness of their models, as well as repair the fragilities that they discover. By joining us, you’ll be able to help advance the techniques, bring advanced technologies to AI/ML engineers worldwide and contribute to our shared mission to realise successful and reliable AI. Grow with us! If you think you can bring something special to this role, please apply even if you do not meet all listed criteria. Safe Intelligence is exploring uncharted waters, and finding the right crewmates is important to us. We support ongoing learning for the whole team, ranging from individual mentorship to internal seminars and support for sector and technology-specific upskilling. Compensation & Benefits Safe Intelligence provides competitive compensation based on role and candidate experience. In addition, company benefits for all roles include: • Stock option benefits, • Mentoring, learning and development allowance, • Regular team social and work events, • Flexible and generous holidays. We work hard and encourage everyone to take time off to recharge and enjoy other aspects of our lives. Equality and Inclusion We are proud to be an equal-opportunity employer and work hard to create an environment where people of diverse backgrounds and life experiences can thrive. The team is highly collaborative and meritocratic. Great ideas come from everywhere, and we strive to make it easy for people to express themselves and be heard. Location & Office Culture Safe Intelligence is based in London, UK, and we’re focused on building the initial team here. We highly value the ability to work flexibly and remotely at times, but we also have a strong belief that regular in-office interactions make for a much more fulfilling and productive work experience. Our company culture combines optimism for the future (hard problems can be solved with the right effort), speed of iteration (the best ideas come from many ideas tested), and rigour in what matters (correctness and precision are critical for safety). Come and join us to add your skills and passion to the future of Safe Artificial Intelligence!

Machine learning Quantitative Engineer London - Hybrid working Rate - £1,200 Key Responsibilities • Research, design, and implement machine learning and quantitative models for pricing, trading signals, and risk management across Fixed Income products (rates, credit, FX, mortgages)., • Apply advanced statistical learning methods (time-series, NLP, deep learning, reinforcement learning, graph-based models) to large-scale, high-frequency, and alternative datasets., • Engineer robust data pipelines and real-time model deployment frameworks to support production trading environments., • Collaborate with traders, quants, and technologists to prototype and scale strategies from research to execution., • Conduct rigorous backtesting, performance analysis, and explainability assessments of machine learning models. Essential: • Strong expertise in machine learning, statistical modelling, and numerical methods with practical applications., • Proficiency in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) and experience with C++ or Java for high-performance model integration., • Solid understanding of Fixed Income products, yield curve modelling, and financial mathematics., • Experience building production-level ML systems in low-latency or large-scale environments., • Previous front-office or systematic trading desk experience., • Familiarity with modern MLOps (Docker, Kubernetes, MLflow, Airflow) and distributed computing (Spark, Ray)., • Experience with alpha signal generation, regime detection, or portfolio optimization., • Exposure to alternative/ESG datasets, macroeconomic indicators, and sentiment analysis.

About the Company Every hour, millions of sports fans lose hard-earned cash on suboptimal bets — and this company is changing that. Ranked among the top three social media identities in the U.S. gambling space, they are arming fans with market-beating insights, tips, and data, all powered by cutting-edge, in-house algorithms. Their flagship digital B2C subscription product launched in October 2024 and has since been experiencing very rapid growth — currently doubling revenues every 1–2 months while maintaining healthy 40%+ profit margins. It combines top-rated human expertise with market-leading AI algorithms, delivering world-class analytics and insights straight to the fingertips of thousands of subscription customers. Leveraging industry-leading social channels with millions of engaged followers, they’re scaling the consumer product through their massive social reach. With a lean but highly capable team of engineers, designers, and product leaders from top-tier companies such as Meta and Alibaba, the company is now entering an exciting scale-up phase. This is a unique opportunity to join and directly shape a pioneering consumer product. Role Overview We are looking for an outstanding Senior Software Engineer to join our fast-moving journey. You’ll be a key contributor across the stack in our Rust-based environment, building intuitive experiences and scalable systems while influencing product direction. We value recent impact above all else: what you’ve shipped, how you’ve solved problems, and the ownership you’ve shown in your most recent role. You’ll partner with product and data teams to deliver features that delight users, drive retention, and boost business value. This role also offers the chance to mentor others, shape engineering culture, and play a critical role in our growth story. Key Responsibilities • Drive the development and scaling of GameScript to deliver best-in-class insights to sports fans, • Design, build, and maintain production systems (frontend and backend) using Rust, • Partner with product and design teams to turn ideas into fully functional features, • Contribute to strategic decisions on product direction (e.g., integrations, AI-powered algorithms, tooling for fans), • Rapidly test and iterate based on customer feedback and analytics, • Improve system scalability, reliability, and performance, • Lead code reviews, mentor engineers, and support hiring as we grow, • Take ownership from concept to delivery, including infrastructure (deployments, observability, CI/CD) Must-Have Qualifications • 5+ years in software engineering (flexible if skills and impact are strong), • Strong foundations in typed languages (e.g., C++, Scala, Rust, Java, C#, Swift), • Strong understanding of core programming concepts, including variable assignments and memory allocation (stack vs. heap), • Proven track record of recent impact: delivering features, improving systems, solving real-world challenges, • Comfort adapting to new languages and stacks quickly, • Experience in smaller/startup environments (ownership mindset, thrives in ambiguity), • Strong communication and collaboration skills; disciplined in reviews and documentation, • Degree in Computer Science, Engineering, or related field (top-tier university preferred) Desirable Experience • Hands-on experience with Rust (or willingness to learn — our current team picked it up on the job), • Cloud infrastructure: Kubernetes, GCP, Cloudflare, Terraform, • Databases: SQL-like, especially SurrealDB, • Leadership qualities: mentoring, project ownership, stakeholder management, • Exposure to sports betting, gambling, or adjacent domains (not required) What Success Looks Like (6–12 Months) • You’ve shipped high-impact features end-to-end, driving real user engagement, • You’ve taken ownership of key systems and improved performance/reliability, • You’re mentoring others and helping to build a strong engineering-first culture, • You’ve influenced architectural decisions and contributed to our tech evolution, • You’re fully fluent in our Rust-based stack and pushing its boundaries What We Offer • Join early and directly shape a consumer product at scale, • Work across the stack, from backend systems to frontend UX to internal tooling, • Operate at the intersection of algorithmic insights, AI, and social media, • Collaborate closely with a talented, supportive, and ambitious team, • Competitive salary with a performance-based bonus designed to reward your impact, • Private health insurance, fitness incentives, and free daily lunch (often dinner as well), • A fast-paced, intellectually challenging environment where ideas matter and careers grow, • The rare opportunity to be part of the founding team of a first-of-its-kind consumer product in sports betting

We are currently recruiting on behalf of a leading start-up business set for significant growth for the role of Lead Computer Vision Engineer. This is a rare opportunity to join an ambitious, fast-scaling company at a pivotal stage. What you’ll be doing: • Design, build, and deploy Large Vision Models (LVMs) to enhance customer experiences, improve workforce efficiency, and boost product performance., • Collaborate with data engineers to gather, preprocess, and curate large visual datasets, ensuring robust and high-quality data pipelines., • Optimise model architectures and tune hyper parameters to maximise throughput while maintaining computational efficiency., • Work closely with software engineers, product managers, and platform engineers to deliver seamless computer vision solutions., • Monitor deployed models by analysing performance metrics, troubleshooting issues, and implementing updates to maintain optimal results., • Stay up to date with the latest machine learning and computer vision advancements, applying new techniques to strengthen solutions and drive innovation. Main Skills/ Requirements: • Master’s degree in Computer Science, Data Science, or a related field — or equivalent practical experience, with a strong focus on machine learning, • Over 5 years of experience deploying computer vision models in production environments, • Advanced proficiency in Python programming, • Hands-on experience with cloud platforms such as AWS or GCP, and familiarity with deployment tools like Docker and Kubernetes, • Solid understanding of computer vision techniques, including image classification, object detection, and segmentation, • Experience with Large Vision Models (LVMs) is highly desirable, • Proficient in SQL and skilled in working with large-scale datasets for data processing and manipulation How you’ll be rewarded: • Share Options, • Competitive Benefits, • Opportunity to join a leading start-up This is an excellent opportunity for an experienced Lead Computer Vision Engineer to join a growing company, that are driven towards success! For further information on this Lead Computer Vision Engineer position, apply below! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. By applying you are confirming you are happy to be added to the Addition Solutions mailing list regarding future suitable positions. You can opt out of this at any time simply by contacting one of our consultants.

Safe Intelligence is on a mission to make AI safe and reliable for everyone. To help us achieve this, we're seeking a Full Stack Software Engineer to join our team! We're particularly looking for someone with strong Golang experience and with some experience of TypeScript and React frontend development. If you also have a knack for Kubernetes/containerisation, that's a significant bonus! In this role, you'll be a key contributor to the development and operation of our cutting-edge cloud-based platform. You should have a passion for both science and engineering, a proven ability to deliver production-ready solutions, and a collaborative spirit to work closely with our product and research teams. All positions at Safe Intelligence are 3/4 days a week in the in our London office. We're excited to have you contribute to our mission! Responsibilities: As a Safe Intelligence Full Stack Software Engineer, you will: • Engineering of Golang-based backend systems, focusing on API development and integration., • Contribute significantly to software development on our TypeScript-based frontend systems, primarily utilizing React to craft intuitive and highly functional user interfaces., • Productize and enhance our Kubernetes-based cloud platform to ensure high-availability, scalability, and cost-efficient ML workflows., • Work proficiently across the entire stack to develop and integrate new features related to model versioning, dataset management, verification workflows, and result/metric aggregations., • Collaborate closely with our scientific and technical teams to interface with and containerize our PyTorch-based verification toolkit., • Champion an API-first development approach to deliver feature-rich, versioned interfaces that support both our TypeScript user interface and Python-based SDKs., • Develop and maintain Infrastructure as Code (IaC) and DevOps pipelines to ensure reliable service delivery and updates. Requirements: The technical requirements for the role are: Must haves: • Ability and experience in system programming using Golang. This includes knowledge of database (MongoDB) access patterns (e.g., Optimistic Concurrency Control - OCC) and schema design, domain-driven architecture, and concurrency., • Proven experience developing production-grade RESTful APIs ideally with an API-first approach., • Some proficiency in JavaScript/TypeScript-based frontend development, with extensive expertise in React. This includes a deep understanding of the DOM, component design, CSS, and state management., • Familiarity with Kubernetes-specific platform components and principles, such as load balancers, cluster DNS, autoscalers, API/SDK toolsets, and the operator pattern. Experience developing and containerizing microservice applications is a plus., • Proficiency in integration and unit testing, with a strong commitment to code quality and maintainability., • Strong knowledge of DevOps and Git best practices. Experience automating version control, testing, and releases, preferably with GitHub Actions. Nice-to-haves: • Familiarity with the OpenAPI specification and code generation toolsets for API development., • Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning are also beneficial., • Experience configuring and maintaining cloud infrastructure including network infrastructure, compute, access control policies, load balancers, Public Key Infrastructure (PKI), and DNS. Ideally, experience with AWS and Terraform or similar IaC tools. At a personal level we’re also looking for someone who is: • Passionate about delivering software to realise safe AI solutions in line with client needs., • Deeply technical and constantly in a state of learning., • Able to communicate clearly and efficiently with a variety of audiences including developers, clients, researchers, partners and executives., • Fearless in getting "hands-on" with technology and execution., • Has a strong understanding of modern software engineering processes., • Comfortable with ambiguity with a drive for clarity., • Collaborative with, and respectful of others on the team., • Honest, straightforward and caring about each other’s well being. Why Safe Intelligence is for you: We strongly believe AI can empower individuals and society to be happier and more productive, but this can only be achieved if the systems we build are safe to use. To meet this need, we are developing advanced deep validation techniques and tools that allow AI/ML engineers world-wide to validate the robustness of their models, as well as repair the fragilities that they discover. By joining us, you’ll be able to help advance the techniques, bring advanced technologies to AI/ML engineers worldwide and contribute to our shared mission to realise successful and reliable AI. Grow with us! If you think you can bring something special to this role, please apply even if you do not meet all listed criteria. Safe Intelligence is exploring uncharted waters, and finding the right crewmates is important to us. We support ongoing learning for the whole team, ranging from individual mentorship to internal seminars and support for sector and technology-specific upskilling. Compensation & Benefits Safe Intelligence provides competitive compensation based on role and candidate experience. In addition, company benefits for all roles include: • Stock option benefits, • Mentoring, learning and development allowance, • Regular team social and work events, • Flexible and generous holidays. We work hard and encourage everyone to take time off to recharge and enjoy other aspects of our lives. Equality and Inclusion We are proud to be an equal-opportunity employer and work hard to create an environment where people of diverse backgrounds and life experiences can thrive. The team is highly collaborative and meritocratic. Great ideas come from everywhere, and we strive to make it easy for people to express themselves and be heard. Location & Office Culture Safe Intelligence is based in London, UK, and we’re focused on building the initial team here. We highly value the ability to work flexibly and remotely at times, but we also have a strong belief that regular in-office interactions make for a much more fulfilling and productive work experience. Our company culture combines optimism for the future (hard problems can be solved with the right effort), speed of iteration (the best ideas come from many ideas tested), and rigour in what matters (correctness and precision are critical for safety). Come and join us to add your skills and passion to the future of Safe Artificial Intelligence!

Lead Engineer / Founding Engineering - Stealth AI Startup London (Moorgate) | 2–3 days per week in-office (relocation £ available) To £150,000 + Equity We’re working with a stealth-mode, venture-backed startup building an AI-enabled platform that’s reinventing how an entire industry operates. We’re looking for a London-based Lead Engineer to own both technical direction and team leadership as the business scales. This is a founding-level role, ideal for someone who’s already taken a startup from 0→1, thrives in ambiguity, and wants to shape the architecture, product, and team from day one. What You’ll Do • Lead and grow a talented cross-functional engineering team in London (initially 2–3 days/week in-office, with greater flexibility later)., • Set technical direction and make foundational decisions as the product scales from early MVP to platform maturity., • Stay hands-on: ship code, build tools, review PRs, and set the engineering bar high., • Drive the architecture and delivery of AI-enabled workflows that power real-world operations at scale., • Partner closely with founders to define the technical roadmap and deliver mission-critical projects end to end., • Act as a people manager, inspiring a high-performing team and shaping engineering culture. What We’re Looking For • London-based or willing to relocate (relocation £ support provided)., • Proven experience taking a startup from 0→1 — ideally in stealth or early-stage mode., • People leadership experience — able to grow, mentor, and lead small, sharp teams., • Track record of shipping real software, not just managing from a distance., • Strong software engineering background (Python experience a plus) with the ability to move fast and make pragmatic decisions., • AI-native mindset — must be able to demonstrate how you’ve taken AI/LLM capabilities and built actual tools, systems, or features that increased code output, efficiency, or product capability., • Experience in project delivery: taking ideas from concept to production under tight timelines., • Comfort with ambiguity and speed — this is an early-stage, high-autonomy environment. Tech Snapshot • Python 3.11+, FastAPI, SQLAlchemy, Alembic, PostgreSQL, • AWS (IAM, SES, Bedrock), • Event-driven architecture, API-first development, • AI/ML pipelines integrated into core workflows Why This Role • Take over a Lead position and make it your own, this isn’t building a feature, it’s building the company’s core product and engineering culture., • Join at the ground floor of a stealth AI-enabled business tackling a massive industry problem., • Work closely with experienced founders on a bold, technically ambitious roadmap., • London-based leadership role with meaningful equity upside and real autonomy., • Relocation support available for exceptional talent. If you’ve led teams, shipped real AI-enabled products, and thrived in early-stage environments, this is a rare opportunity to build something meaningful, fast!

Join a global leader in advanced defence technology, developing mission-critical systems that protect and empower naval forces across the world. Our client designs and delivers cutting-edge electronic and sensing solutions that support the most demanding maritime environments, from surface vessels to underwater platforms and autonomous systems. This is an exciting opportunity to take on technical leadership within a multi-disciplinary engineering team, shaping the future of naval electronics and next-generation mission systems. Location: Southeast or Southwest England Working Model: Hybrid / Flexible / 9-Day Fortnight Options Available Salary: Competitive + Bonus + Excellent Benefits The Role As a Senior Electronics Engineer, you’ll play a key role in the design, development, and delivery of complex electronic systems used in advanced defence applications. You’ll work across the full engineering lifecycle from concept and prototyping through to verification, test, and production handover, ensuring each solution meets the highest technical and safety standards. Key Responsibilities: • Lead the design and development of analogue, digital, and mixed-signal electronic circuits., • Define technical requirements, specifications, and validation plans., • Conduct detailed design reviews, analysis, and testing., • Mentor and guide junior engineers, supporting knowledge transfer and technical excellence., • Collaborate closely with systems, software, and mechanical engineers to deliver integrated solutions., • Contribute to continuous improvement in design processes and best practices., • Ensure compliance with safety, environmental, and defence standards. About You You’ll be an experienced electronics engineer with strong technical depth, ideally gained in defence, aerospace, or other complex engineering environments. You’ll be comfortable taking technical ownership and influencing design decisions. Essential Skills & Experience: • Degree (or equivalent) in Electronics, Electrical Engineering, or a related discipline., • Proven experience in the design and development of electronic hardware., • Strong understanding of circuit design, schematic capture, PCB layout, and test., • Experience with EMC design, environmental testing, or design for manufacture (DFM) is advantageous., • Excellent communication and stakeholder engagement skills., • Eligible to obtain UK Security Clearance (SC). What’s on Offer • Optional 9-day fortnight – every other Friday off!, • Flexible working hours and hybrid arrangements., • Time Off in Lieu (TOIL) up to 1 day per month., • Early finish Fridays (1pm)., • Annual bonus and performance incentives., • 25 days annual leave + Christmas shutdown., • Buy or sell holiday scheme., • Private healthcare, dental, and critical illness options., • Discount hub – access to 200+ retailers., • 4x life cover and a market-leading pension (5% employer minimum)., • Relocation support available for exceptional candidates. Why Join You’ll be part of a forward-thinking organisation that values innovation, collaboration, and engineering excellence. The business is known for its supportive culture, flexible approach to working, and commitment to developing its people. They also take pride in being an inclusive and diverse employer, encouraging applications from all backgrounds, and fostering a culture where everyone can thrive and be their authentic self. Apply Today If you’re a Senior Electronics Engineer ready to contribute to the next generation of defence technology, we want to hear from you. Join a company where your work truly makes a difference — safeguarding the seas and advancing naval capability worldwide.

Full-Stack Engineer — Axola Axola is an AI-powered digital coaching platform. We’ve built a proprietary computer vision system that analyses biomechanics from video to deliver real-time feedback, personalised training plans and performance insights. Over the past two years we have developed and validated the core technology, secured strategic partnerships with sports and technology companies, and are now expanding our UK-based team to take the product to market and scale internationally. We are looking for a Full-Stack Engineer to strengthen our product development and support the launch of the Axola app. You will take ownership of the technical delivery across frontend, backend, cloud and mobile, working closely with the founder and AI/ML engineers. Your responsibilities will include developing the web platform and mobile app, building APIs, supporting integrations, and deploying machine learning models into production. Requirements: • Strong full-stack development skills (React/Next.js, Node.js, Python, TypeScript)., • Experience with mobile app development (React Native or Flutter) or integration with iOS/Android apps., • Backend expertise (databases, APIs, authentication, security)., • Cloud experience (AWS/GCP/Azure, Docker, Kubernetes, CI/CD pipelines)., • Ability to integrate and deploy ML models into production., • Startup mindset — ability to deliver with limited resources and wear multiple hats., • Passion for sport and technology is a strong plus. What we offer: • Competitive salary (depending on experience)., • Equity options are available for the right candidate., • Opportunity to shape and scale a product with proven technology and active partnerships., • Be part of a UK-based Sports AI startup building the future of digital coaching. 📍 Location: London, Soho, UK ⚖️ Eligibility: Candidates must hold a UK passport or Indefinite Leave to Remain (ILR).

Senior Data Engineer – (Data Science & Engineering) Hybrid – UK | London | Up to £75k DOE | 12-Month FTC | J12995 This is an exciting opportunity to join a global lifestyle brand’s customer data science team during a transformative phase. As the business transitions to inhouse capabilities for CRM and customer insights, alongside implementing a new customer data platform, this role is key in shaping best practices and ensuring seamless collaboration with IT partners. Seeking an experienced and motivated Senior Data Engineer with a strong background in MLOps and Snowflake to help scale the data infrastructure and support analytical and data science workflows. Your work will enable faster, more reliable access to customer data and insights that drive more relevant and personalised interactions across the business. Key Responsibilities • Lead the design and implementation of a production-ready ML environment in collaboration with IT and data science teams., • Define best practices for model deployment, monitoring, and governance., • Build and optimize data pipelines using Snowflake and Snowpark to support ML workflows., • Support the migration of existing models into the new environment, identifying and resolving blockers., • Champion MLOps principles across the team, mentoring others and fostering a culture of excellence., • Ensure compliance with data governance, privacy, and security. Required Skills • Strong proficiency in Python, especially for data manipulation and transformation, • Hands-on experience with Snowflake, including Snowpark for advanced data engineering tasks, • Solid experience of SQL, data modelling, and modern data warehouse architecture, • Experience with data orchestration, workflow management, and CI/CD practices, • Experience in deploying and maintaining scalable data pipelines, • Experience of MLOps practices and working with data science teams, • Experience with tools like MLflow or other model tracking/versioning tools, • Experience of feature stores and data pipelines for ML/recommendation use cases Let’s talk… APPLY NOW No sponsorship or visa holder applications can be accepted. #DataEngineering #Snowflake #Snowpark #MachineLearning #DatatechAnalytics

Principal Platform Engineer London / WFH to £150k Are you a technologist with start-up experience and a first class education looking for a new opportunity? You could be joining a small Fintech start-up run by small, successful and proven team of finance technology entrepreneurs, backed by Silicon Valley investors, as they build out the product, currently in stealth mode. As a Principal Platform Engineer you'll have an impactful role with lots of influence. Initially you'll assess the current tech set up based on GCP, Python, TypeScript, PostgreSQL and Terraform; establish the production environment and extend the platform to enable scalability. You'll collaborate closely with the CTO and Lead Software Engineer to establish and build systems from scratch and will build a team of high performing engineers, progressing quickly to Head of Technology. Location / WFH: You'll be based in Central London, with flexibility to work from home twice a week. About you: • You have experience in a similar Principal Platform Engineer role within start-up / scale-up environments with strong commercial acumen, • You have achieved a 2.1 or above BSc from a well renowned top world university, e.g. Russel Group, Ivy League in a relevant technical discipline, • You have experience in a FAANG company, • You have a software engineering background with a strong knowledge of modern best practices, architecture and design experience, • You have strong, current technical skills including: GCP, Python, TypeScript, PostgreSQL and Terraform, • You're collaborative and pragmatic with strong leadership and stakeholder management skills, • You have experience of building teams and developing people What's in it for you: • Starting salary of £150k, • Equity Apply now to find out more about this Principal Platform Engineer opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

Are you an experienced electrical engineer ready to take on a leadership role and drive major projects? This innovative engineering consultancy is seeking a Senior Electrical Engineer to join their team. This is a fantastic opportunity to work on large-scale, interesting projects and develop your career in a supportive and collaborative environment. Key Responsibilities: • Manage engineering projects and lead a small team to ensure timely and within budget-delivery, • Working across sectors including government, critical systems, data centres, healthcare, rail, workplace and residential, • Produce high-quality engineering designs, calculations, and specifications using advanced technical software, • Supervise and coordinate the production of technical drawings and reports, • Mentor and develop less experienced staff, fostering their professional growth, • Attend and actively participate in client and project meetings, • Conduct site visits to monitor progress and address any issues, • Ensure compliance with project management, QA, Environmental, and Health and Safety procedures. Qualifications and Experience: • Bachelor's degree or higher in a relevant engineering discipline, • Proven technical competence and experience in managing engineering projects, • Strong ability to plan and programme work for yourself and others, • Commitment to supporting the professional development of team members, • Relevant experience working in a consultancy environment, • Knowledge of Amtech and Dialux is desirable, • Excellent communication skills and using initiative to overcome challenges are essential. If you are passionate about engineering and looking for a role where you can make a significant impact while developing your career, we would love to hear from you. Apply today by sending your CV to or calling 01252 413077.

The Company stackspell labs, Inc. is a venture-backed startup (strategically in stealth) building the AI-native abstraction layer for enterprise software. We’re reimagining how complex enterprise software systems/platforms (e.g., SAP, Salesforce, Workday, Dynamics, etc.) are extended, integrated, configured, and operated by AI agents. Think Lovable meets Terraform for enterprise software. Our core product is a framework purpose-built for AI coding agents, enabling them to express intent, while our platform transpiles, orchestrates, and governs it across the enterprise stack. This abstraction layer unifies and standardizes the primitives of major enterprise platforms, unlocking agentic workflows for transformation and software delivery. It empowers Corporate IT teams to design, configure, and operate secure, compliant, production-grade solutions with the speed and elegance of modern product engineering; finally bridging the gap between enterprise governance and AI-native velocity. The Role You’ll own the end-to-end development of Stackspell’s core platform: designing, coding, deploying, and hardening the systems that make AI-native enterprise engineering possible. Your work blends full-stack development, platform architecture, and applied AI, turning research concepts into production-grade infrastructure. You’ll be hands-on across the stack, from TypeScript and React to orchestration, distributed systems, and AI agent tooling, ensuring everything you build is secure, observable, and enterprise-ready. This role demands both breadth and depth; the curiosity of a researcher and the precision of a production engineer. Your Profile You thrive at the intersection of AI, systems thinking, and developer experience. You’re hands-on, detail-obsessed, and comfortable operating in ambiguity. You care about precision, resilience, and developer experience; not just writing code, but building the platform foundations others can build upon. You understand how modern stacks fit together, from AI pipelines to monorepos, and you enjoy architecting systems that are both powerful and tasteful. Your Hard Skills: TypeScript (React / Express) · RxJS · Tailwind · Docker · Nx / ArgoCD / GitOps · Private Registries TSC · TSX · pnpm / yarn · ESLint · Build Pipeline Hygiene Azure / AWS · IaC (Terraform / Pulumi) Enterprise Architecture · Multitenancy · Zero-Trust · FGA · Event-Driven · Caching · Workflows TypeORM · Drizzle · RabbitMQ · Redis · Distributed Systems · Vercel AI SDK · Prompt Engineering · Agentic Systems · LLM Toolchains · Embeddings · Retrieval · AST / Codegen Applied AI / Systems Research (Bonus) The Offer Location: London (in-person) strongly preferred during the early phase to build tightly as a founding team. Remote possible for exceptional candidates, but proximity gives the best chance to shape the product early. • Competitive compensation + meaningful equity, • Early-stage ownership & impact on product and company direction, • Premium private health insurance (vision & dental included), • Fully covered housing if based in London, • Wellness budget + gym access, • Weekly home service (cleaning, laundry, groceries), • Two fully covered offsites per year

Senior Electrical Engineer – To £65K+ Package Ready to step up into a Senior Electrical Engineer role? Looking to take ownership of clients, projects, and lead a team of five Electrical Design Engineers? This multi-disciplinary engineering consultancy has built its reputation on making the impossible possible. Consistently raising the bar for what great engineering looks like. From sensitive refurbishments of Grade I and Grade II listed buildings to state-of-the-art medical research facilities, you’ll be designing spaces that enhance lives. Some of their current projects include: • Hospitals and medical facilities, • Museums and cultural landmarks, • TV and Film production studios, • Low-carbon universities, • A major decarbonisation programme for one of London’s most iconic landmarks Benefits • Salary up to £65K, • Matched pension to 5%, • Cycle-to-work scheme & interest-free season ticket loan, • 26 days annual leave + 8 bank holidays, • Hybrid: work from home two days a week, • Option to work from abroad for up to 2 weeks at a time, • Discretionary annual bonus, • Private medical insurance, • Weekly and monthly social activities, • Regular CPDs, • Annual salary review every June, • Ongoing support and mentorship from Directors and Partners Requirements • 5+ years’ consultancy experience as an Electrical Design Engineer, • Proven ability to manage and mentor engineers, • Full right to work in the UK (no sponsorship available) This is a permanent position with a multi-disciplinary engineering consultancy, based in London. If you’re a Senior Electrical Engineer with a passion for designing buildings and enjoy designing technically challenging projects, please get in touch. (3705)

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 seeking a Teleoperation Control Engineer to lead the development of intuitive teleoperation pipelines that unlock new robotic capabilities and fuel learning through high-quality human demonstrations. This role focuses on building the bridge between human operators and complex humanoid robots. You'll work at the intersection of hardware devices, operator interfaces, software integration, and learning workflows, enabling human supervisors to teach, guide, and correct robotic behaviors in real time. You’ll be instrumental in creating a teleop-powered flywheel: fast, intuitive teleoperation that produces rich data, which accelerates model training, which in turn reduces reliance on teleop — compounding progress over time. A deep understanding of robot control principles and hands-on experience with real robotic hardware are essential for success in this role. What You’ll Do: • Design and implement intuitive, low-latency teleoperation interfaces for controlling humanoid robots in manipulation and mobility tasks., • Develop a robust teleop architecture that can scale across platforms and applications—from manipulation to loco-manipulation and beyond., • Integrate a broad range of input devices (e.g., puppet arms, VR controllers, gloves, haptic devices, motion capture systems) into the robot software stack., • Translate noisy, high-frequency human input into smooth targets for the robot, • Build tooling to streamline operator training and demonstration workflows, including in sim and hardware environments., • Develop semi-autonomous features, blending human input with autonomous control for enhanced precision and ease of use., • Ensure sensor data fusion and create effective visualization tools for intuitive remote control., • Conduct stress tests to ensure system reliability under extended operational conditions., • Work directly with real robotic hardware, ensuring software is robust and well-integrated with physical systems., • Collaborate with perception and hardware teams to bring teleoperation requirements into the HW design. We’re Looking For: • MS or PhD in Robotics, Computer Engineering, Human-Computer Interaction, or a related field., • 5+ years of experience in robotics, with a strong focus on teleoperation systems and human-robot interfaces., • Expertise in integrating teleop devices and building operator interfaces that prioritize usability, precision, and operator flow., • Proficient in C++ and Python, with experience in ROS/ROS2, real-time data streaming, and robotic middleware., • Strong understanding of robot kinematics, coordinate systems, and interfacing with low-level control systems., • Experience working directly with real robotic hardware (with humanoid robots, dexterous manipulation, or mobile manipulation) in laboratory or production environments., • Experience developing modular and scalable software architectures for robotic systems., • Strong debugging and system performance optimization skills. Nice-to-have: • Experience with data collection for imitation learning, behavior cloning, or other robot learning paradigms., • Exposure to intent inference, shared autonomy, or assistive control., • Experience working with simulation environments (Isaac Gym, Mujoco, Unity) for teleop + data collection., • Passion for building elegant tools that improve the human-robot experience. 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

Quality & Compliance Engineer – Racal Acoustics | Harrow, UK We have exclusively partnered with Racal Acoustics in their search for a Quality and Compliance Engineer. Are you looking for an opportunity to make a real impact in a high-tech, innovative defense environment? Do you have a passion for ensuring product excellence and compliance with ISO9001 and international regulatory standards? Do you have experience in REACH & RoHS? If so, Racal Acoustics wants to hear from you! What’s on Offer? • Competitive salary, • Company performance-related bonus, • 27 days holiday + bank holidays, • Private Medical Insurance (PMI), • Pension scheme with up to 8% matched contributions, • Life Assurance & Employee Assistance Program, • Early finish on Fridays Your Role as a Quality & Compliance Engineer: • Support the implementation, maintenance, and improvement of Quality Management Systems (QMS) aligned with ISO 9001 and other industry standards., • Conduct and manage internal, supplier, and external certification audits., • Oversee non-conformance investigations and coordinate corrective actions., • Ensure product compliance with CE marking, REACH, ROHS, and other international standards., • Collaborate with R&D, design, and supply chain teams to embed compliance into development and production processes., • Maintain technical files and regulatory documentation to support global market entry. What We’re Looking For: • Degree in Engineering, Quality Management, or a related field., • Knowledge of ISO9001, CE marking, REACH, ROHS, or other regulatory frameworks (prior experience preferred)., • Strong organizational skills and attention to detail., • Excellent written and verbal communication skills., • Familiarity with QMS principles and auditing is a plus., • Passion for sustainability and compliance in emerging markets. This is a fantastic opportunity to join Racal Acoustics, a leader in military and industrial communication solutions, where your work directly contributes to product excellence and innovation. Ready to make an impact? Apply now!

Manufacturing Process Engineer (NPI Projects) London (Greenwich) | Up to circa £42 to 47.50 per hour (Umbrella) | Long-Term Contract About the Role We’re looking for a Manufacturing Process Engineer to help shape the future of assembly processes. In this role, you’ll design and implement lean improvements that make production safer, more efficient, and more sustainable. You’ll work closely with R&D, support projects from concept through to delivery, and ensure processes meet the highest standards of quality and compliance. What’s in it for you? • Competitive pay and a secure long-term contract, • A collaborative and supportive team culture, • The chance to make a real impact on products that support critical global infrastructure, • Work with cutting-edge technologies that are making a difference worldwide What you’ll be doing • Design & Improve: Create lean process improvements for tools, equipment, and assembly methods, • Deliver Change: Manage projects from concept to handover, keeping efficiency and timelines on track, • Validate & Test: Ensure new tooling and processes are reliable and compliant before production, • Keep it Safe: Lead PUWER assessments, risk analysis, and safety compliance, • Collaborate: Partner with R&D, training schools, and wider teams to support innovation and development, • Measure & Monitor: Define KPIs, track progress, and ensure budgets and quality targets are met What we’re looking for • A degree in Mechanical, Industrial, Production, or related Engineering field, • Hands-on experience in manufacturing or technical environments, • Knowledge of ISO9001/TL9000, Lean, Six Sigma, and regulated industries, • A methodical problem-solver with excellent organisational skills, • Willingness to learn systems such as SAP and sDMS How to apply If this sounds like the right role for you, we’d love to hear from you. Please apply via LinkedIn.

Team: Machine Learning Location: London (On-site; Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £120 - 160k 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: 5+ years of industry experience in complex machine learning projects including data processing and training models in a distributed environment., • LLMs: Deep understanding of LLM architectures, pre and/or post-training, evaluations and inference., • Programming languages: Excellent proficiency in Python using PyTorch/TensorFlow/JAX framework., • Customer facing: Experience working directly with customers to solve applied problems, including product integration., • 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.

Graduate Data Engineer 📍 London (2 days in office, hybrid) | 💼 Full-time | 🎓 0–2 Years’ Experience Are you an aspiring Data Engineer eager to turn raw financial data into clean, structured, and scalable systems? We’re looking for a curious and motivated Graduate Data Engineer to join a hybrid-working team building cutting-edge data infrastructure for the financial sector. You’ll spend 2 days a week in the office working directly with the Senior Data Engineer, and the rest working remotely — giving you the best of both worlds. You’ll be working on a platform that transforms diverse datasets into actionable insights — learning how to design ETL pipelines, manage cloud-based data systems, and deploy solutions that scale. In this role, you’ll help build, test, and maintain the pipelines and systems that power real-world applications. From data ingestion and transformation to monitoring and optimisation, you’ll gain hands-on experience across the full data engineering lifecycle — while contributing to a product used by clients in the financial industry. What’s in it for you? 📄 Data That Matters – Work on pipelines and systems that turn complex financial data into structured insights. ⚙ Hands-On Engineering Experience – Learn the full data workflow — from ingestion to cloud deployment and monitoring in production. 📈 Mentorship & Growth – Work directly with a Senior Data Engineer who will guide your technical and career development. 🤝 Collaborative Environment – Partner with engineers, data scientists, and domain experts to solve real-world challenges. 🏢 Hybrid Flexibility – Work remotely while spending 2 days per week in the office for collaboration and learning. What We’re Looking For: • 0–2 years of experience in data engineering, analytics, or software development (internships and projects count!)., • Solid Python and SQL skills., • Familiarity with Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Composer, etc.)., • Understanding of ETL/ELT processes and database fundamentals., • A motivated, proactive mindset with a strong desire to learn and grow. Nice to Have: • Exposure to data pipeline tools (e.g. Apache Airflow, dbt)., • Experience with containerisation tools like Docker., • Familiarity with version control and CI/CD practices., • Knowledge of BI tools (Looker, Tableau, or similar). If you’re excited to grow your career in data engineering and want to build scalable systems entirely on Google Cloud — we’d love to hear from you. Apply now and start your journey as a Graduate Data Engineer.

Senior Control Systems Engineer Are you ready to take the lead on cutting-edge building automation and control systems projects across the UK and beyond? This is an exciting opportunity for a Senior Control Systems Engineer to join a leading international M&E consultancy that’s driving innovation in sustainable building design and digital infrastructure. With a strong focus on low-energy, zero-carbon design, this business supports clients across the full lifecycle of complex, technology-driven projects, from early-stage design through to commissioning and handover. You’ll be part of a collaborative, forward-thinking engineering team working on some of the most advanced buildings in the world, including data centres, R&D facilities, and critical environments. London - Hybrid Working • £55,000 - £75,000, • Bonus, • Hybrid Working, • Pension Scheme, • Healthcare Scheme, • Training Sponsorhip Responsibilities: • Supporting the production of detailed MEP control system designs and specifications for a variety of building types., • Developing points lists, sequence of operations, and functional specifications., • Producing schematics, network topology drawings, and control function diagrams., • Conducting condition surveys, preparing technical reports, and recommending improvement plans., • Representing the company at technical meetings with clients, contractors, and project stakeholders., • Specifying and attending FATs, SATs, and Integrated Systems Testing., • Overseeing commissioning activities and ensuring project delivery meets the highest standards. Experience Required: • HNC/BEng in a relevant engineering discipline (or equivalent experience)., • 5+ years’ experience as a Senior Engineer or above., • Strong understanding of building automation, instrumentation, and monitoring systems., • Proficiency in control system design, documentation, and reporting., • Experience with major control system vendors such as Schneider, Siemens, and Trend., • Solid understanding of networks, cabling, and network security., • Excellent communication, reporting, and client-facing skills., • Ability to lead projects, mentor others, and deliver to tight deadlines., • Flexibility to travel for international projects when required.

Meytier, a dynamic, high-impact job platform headquartered in New York. We partner with Fortune 500 companies, PE/VC firms, and fast-growing startups to help them discover and hire exceptional talent. This is a high-impact career opportunity for a Engineer Manager – Search & Discovery with one of our technology clients, The world’s leading marketplace and auction services platform, with revolutionizing the $15B+ global auction industry, connecting millions of buyers and sellers worldwide and driving sustainable growth in the circular economy. Engineering Manager - Search & Discovery Some problems we are working on in the search domain: ● How to make search results and suggestions relevant to our users? ● How to ensure our systems are stable and performant? ● How do we improve ranking of search results? ● How do we reduce zero result rate for search queries? and many more such questions... Your Mission Make the search experience frictionless for our users ● Define and drive engineering excellence ● Own end to end delivery of team's projects ● Ensure continued service reliability, and timely technical support for all stakeholders ● Collaborate with Product, Analytics and AI to define and drive product roadmap ● Manage career development of people in the team through continuous coaching and mentoring Responsibilities ● Partner with stakeholders to deeply understand their priorities and translate them into clear technical strategies. ● Balance partner needs by designing solutions that advance user-facing experiences while ensuring system scalability, reliability, and efficiency. ● Oversee the delivery of end-to-end improvements in search quality, spanning data pipelines, ML models, and distributed systems. ● Drive the adoption of advanced ML methods while ensuring pragmatic, production-ready implementations. ● Grow, mentor, and develop a diverse team of engineers, fostering collaboration with applied scientists and system experts. ● Provide technical and organizational leadership, ensuring execution excellence while crafting a long-term strategy for search and knowledge systems. What you need to be successful ● 2+ years experience of leading a cross-functional team as an Engineering Manager ● Bachelor/ Master’s degree or equivalent in a quantitative field such as Computer Science, Engineering, Mathematics or Similar ● Proven background in Machine Learning, NLP, and large-scale Search, with the ability to guide teams at the forefront of these fields. Familiarity with vector search, hybrid retrieval (lexical + semantic), and personalization techniques will be a strong plus. ● Deep expertise in retrieval and ranking models and the broader search stack, with a track record of delivering production-quality systems at scale. ● Comfortable with ambiguity and able to navigate it to solve problems. Ability to break a problem into manageable tasks and establish clear goals for the team ● Effective communication and ability to explain complex work in simple terms to team members, stakeholders and senior leadership ● Be a role model for other Engineers in the team and help establish a culture of engineering excellence, collaboration, continuous learning, and innovation ● Proven expertise in stakeholder management and fostering strong relationships. ● Excellent business understanding to drive informed engineering decisions

Our client, a Leading Quantitative Trading Firm, is seeking a Senior FPGA Engineer to join its high-performance technology team. This role offers the opportunity to work on cutting-edge hardware solutions that power electronic trading strategies. You’ll be part of a collaborative environment where engineers and quantitative researchers work closely to optimize performance and scale systems across multiple platforms. Responsibilities • Contribute to the design, implementation, and verification of FPGA-based systems used in latency-sensitive trading environments., • Develop reusable IP blocks and scalable architectures for deployment across different hardware platforms., • Work with cross-functional teams to integrate FPGA solutions into broader trading and networking infrastructure., • Optimize designs for speed, reliability, and efficiency while maintaining code quality and reusability., • Support production systems, troubleshoot performance issues, and drive continuous improvement., • Explore new hardware and software technologies that could enhance the firm’s trading capabilities. Ideal Candidates • Professional experience in FPGA/ASIC development and digital logic design., • Strong proficiency with hardware description languages (SystemVerilog, Verilog, or VHDL)., • Solid understanding of digital design principles and verification methodologies., • Experience with FPGA toolchains and flows for design, synthesis, simulation, and debugging., • Knowledge of C++ and familiarity with scripting languages such as Python or Bash., • Background in networking protocols, packet processing, or high-speed transceivers is advantageous., • Degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field. This is a unique opportunity to join a high-performing trading firm, work alongside world-class technologists, and have a direct impact on mission critical systems. The firm offers highly competitive compensation packages and a dynamic, innovative working environment. Feel free to apply or reach out at if you meet the requirements and would like to learn more.

Team: Machine Learning Location: London (On-site; Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £90 - 120k 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: 2-3 years of industry experience in complex machine learning projects including data processing and training models in a distributed environment., • LLMs: Strong understanding of LLM architectures, pre and/or post-training, evaluations and inference., • Programming languages: Excellent proficiency in Python using PyTorch/TensorFlow/JAX framework., • Customer facing: Experience working directly with customers to solve applied problems, including product integration., • 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.

Senior Software Engineer (UK/Europe based - Fully remote) This is an exciting opportunity to work on a project for our client, a well known global company in the music industry. We are looking for a Senior Software Engineer based in the UK/Europe. At Overloop, we are a close-knit small team, committed to quality code, processes that work, honesty, and seeing things through to completion. A typical working day will involve a 20 minute catch up call to kick off the day, reviewing requirements and/or bug reports, coding, discussing over Slack and Google Hangouts, creating a Github PR, getting the PR reviewed and seeing your code get to production to make a difference for our clients. Overloop is a UK based company, and our team currently works remotely from around Europe, Africa and and South America Are you the right candidate? We are looking for a Senior Python Engineer, based in the UK or Europe, and able to work UK hours. What you will do: • Build products that empower artists and record labels across the globe, • Contribute to all tiers of our clients’ architecture to produce high quality, robust user experiences, • Write clean, tested and maintainable code, • Work closely with product management to understand and implement client requirements, • Design, communicate and execute a vision in collaboration with your team and other teams across the technology organization, • Participate in re-architecture, refinement and technical design of various systems, • Mentor more junior engineers and contribute to a culture of continuous learning Who you are: Seeking 8+ years of software engineering experience in the following areas: • Implementing distributed systems, • Microservice and asynchronous architecture, • Python and Javascript, • Building responsive frontend applications (our client uses TypeScript, React, and GraphQL), • Database technologies and query languages (our client uses Neo4j, Kafka, MySQL, Snowflake, Elasticsearch, and more), • RESTful architecture, • AWS Cloud technologies, • Log analysis to investigate bugs and performance issues, • Unit and integration tests, • Agile development practices Nice to have: • Typescript Other requirements and soft skills: • Needs to be able to work to UK working hours, • Fluent English speaker (our client is an English speaking company), • Great communication skills, • Proactive mindset, • Problem solving, • Curiosity, • Ability to learn quickly, • Eagerness This is a full time role / 40 working hours per week. On-call availability may be required for unexpected, infrequent outages. Approximate salary range - £70,000 - depending on experience. Please note that we cannot sponsor visas at this time. The interview process will look like: • You will have a 30 min - 1hour interview with the team at Overloop to talk through your skills and experience and take part in a coding exercise that you will have prepared in advance., • We will then put you forward to our client who will have some additional interview rounds of their own. Please be aware that Overloop does not request an AI-led interview. All conversations throughout, and the interview itself will be with a team member from Overloop. We won't ask for your personal identification documents during your interview process with us. If you receive an email - claiming to be from Overloop - but from an email address ending in anything other than @overloop.io, please be aware that this is not us.