THANK YOU FOR YOUR APPLICATION

Are you ready to make online shopping smarter, faster, and more intuitive? We’re looking for a motivated Search Engineer to level up the search experience on our high-traffic eCommerce platform. What you’ll do:Architect and innovate with Elasticsearch, machine learning, and next-gen search techOptimize and personalize search relevance, ranking, and discoveryLead and mentor a talented team of engineersMeasure success with real impact using metrics like NDCG, F1, and CTRWhat you’ll bring:Strong skills in Java, Spring Boot, and PythonHands-on experience with Elasticsearch (or similar) and ML tools such as XGBoost, transformers, and LLMsExperience scaling high-traffic eCommerce or SaaS search systemsA can-do mindset and passion for solving complex problemsWhat you’ll love:An award-winning, people-first workplace cultureFlexitime and hybrid working options for better work-life balanceFreedom to choose your tech setupHealth and fitness perks, fresh local food, and even an in-house tennis courtIf you’re passionate about building world-class search experiences and want to join a team that values innovation and balance, we’d love to hear from you.

Implement high-performance AI inference solutions on FPGA, contributing to our SystemVerilog IP library and delivering complete FPGA designs for deployment in modern data centers. Role: (Senior) Software DeveloperSalary: up to £90,000Location: Cambridge (onsite 3 days per week) Working closely with software and ML engineers, you’ll integrate against compilers, runtimes, and drivers to build reliable, low-latency, high-throughput applications. You’ll design reusable, parameterizable IP for the latest AI-capable FPGAs, package full solutions, achieve timing closure through floorplanning, and test designs on hardware. You’ll also extend verification environments, make low-level software interface changes, and help shape coding standards and Agile workflows. You’ll bring:5+ years of SystemVerilog/Verilog/VHDL experienceStrong FPGA EDA tool knowledge (Quartus, Vivado)Experience in FPGA bring-up, timing closure, and Linux dev environments

Design and build software systems that run ML inference workloads with state-of-the-art efficiency on FPGA-based accelerators. Role: (Senior) Software DeveloperSalary: up to £90,000Location: Cambridge (onsite 3 days per week) You’ll work across the stack, from co-designing instruction sets with hardware engineers to developing compilers, APIs, and runtime libraries for seamless ML integration. The role involves systems programming, compiler development, and creating tools for debugging, profiling, and optimisation. Our stack is primarily written in Rust, chosen for its performance, safety, and mature tooling. We’re a small, collaborative team with deep technical expertise, tackling some of the biggest challenges in ML today. We focus on end-to-end optimisation, from algorithms down to silicon, to deliver world-leading performance with low power consumption. You’ll bring:3+ years in systems programming, performance-sensitive code, or compiler devExperience with Rust (or C/C++/functional languages)Strong problem-solving skills and enthusiasm for novel architectures

A private bank is looking for an AI specialist to lead the roll out of a co-pilot solution.  The role involves defining how co-pilot is used in banking, managing risks, ensuring compliance and data privacy, and advising on models, tools, and recording processes. You will work with stakeholders to align business requirements with technical delivery and create a framework that can scale across the organisation. Experience delivering co-pilot or generative AI projects in private banking or financial services would be a must have. Candidates with knowledge of data management, model integration, and regulatory considerations alongside co-pilot will have an advantage. Details: • Location: Zurich preferred, but open to remote in Switzerland  • Duration: 6 months, possible extension • Start: ASAP • Remote with limited travel • Process: Two stages This is a high-impact role where you will shape how co-pilot technology is introduced and scaled across a private bank.

Software QA Lead (Within Streaming) Up to $150,000 Remote - USA Brief SummaryWe’re looking for an experienced Streaming QA Lead to build and own our QA strategy from the ground up. You’ll lead the implementation of test automation, CI/CD integration, and best practices that ensure code quality, reduce production issues, and empower our developers to move faster without sacrificing stability. This is a high-impact, hands-on role where your work will directly improve developer velocity and product reliability. ResponsibilitiesDesign, implement, and own an end-to-end QA process for our streaming platformDevelop and maintain automated integration test suites to run on all pull requestsIntegrate test automation into the CI/CD pipeline for seamless, continuous validationCreate clear testing guidance, standards, and best practices for the engineering teamManage test cases using tools like TestRail and Xray, ensuring comprehensive coverageCollaborate with developers to verify new features and catch regressions before they reach productionMonitor, analyze, and report on QA metrics to measure success and drive continuous improvement Requirements8+ years of experience in software QA, with a track record of building or scaling QA processesExperience within streaming and live video is highly desirableStrong proficiency in Python and automation frameworks such as PytestSolid understanding of Docker, Git, and AWS environmentsHands-on experience with test case management tools (TestRail, Xray) and CI/CD integrationAbility to design and execute structured test plans and strategiesStrong problem-solving skills and the ability to influence engineering best practicesExcellent communication and documentation skills Success in the first 3–6 months:Automated integration test suite in place and running on PRsFully integrated CI/CD pipeline executing tests automaticallyClear, actionable testing guidelines adopted by engineersNoticeable improvement in developer velocity and reduction of production/staging breakagesApply now to learn more!

AI Integration Lead – Workday HCM Contract | 5 months | Fully Remote Start: Mid-September Sector: Global Enterprise  A global organisation is seeking an AI Integration Lead to support its Workday HCM transformation. This role will drive the design and delivery of AI features across key streams including data, integration, testing, and leadership alignment. You’ll act as the bridge between technical teams and business stakeholders to ensure AI is embedded effectively in HR processes, with a focus on workforce planning, talent management, and operational efficiency. Key responsibilities:Advise leadership on the role of AI within the Workday rolloutCollaborate with PMO, data, and integration teams to design and implement AI-driven featuresEnsure AI solutions align with business goals, data quality requirements, and ethical standardsSupport testing and validation of predictive models and automation toolsWhat we’re looking for:Proven experience delivering AI/ML solutions in enterprise environmentsGood understanding of HR systems, ideally WorkdayStrong communication skills and ability to work across cross-functional teamsAwareness of ethical AI principles and data governance in HR contextsThis is a hands-on, delivery-focused role with high visibility across a global transformation. Fully remote with a mid-September start.

Rust Engineering Manager | Remote - USA | Up to $200,000 base.We’re partnering with a rapidly scaling technology company building low-latency systems for real-time audio and video applications. Our client is at a pivotal point in their growth and is hiring a Rust Engineering Manager to lead development on performance-critical infrastructure.This is a high-impact, hands-on leadership role, ideal for someone who thrives at the intersection of systems engineering, signal processing, and technical ownership.What You'll Be Doing:Serve as the in-house Rust expert, leading development of latency-critical featuresDesign and implement real-time AV pipelines using Tokio, gRPC, and GStreamerSet architectural direction and scale systems across a modern cloud stack (AWS, Docker, Kubernetes)Collaborate with product and infrastructure teams to align engineering execution with business objectivesMentor engineers and elevate Rust capabilities across the orgContribute meaningfully to technical roadmap planning and milestone deliveryWhat Success Looks Like (First 3–6 Months):Independently deliver high-priority product milestones in RustTake ownership of low-level AV features and performance optimisationLead technical decision-making and improve cross-team development velocityEstablish yourself as the go-to authority on signal processing and Rust developmentWhat They're Looking For:Experience in backend or systems engineering rolesStrong, production-grade experience with Rust and async runtimes (Tokio)Experience with audio/video signal processing - ideally using GStreamerSolid foundation in cloud-native development using Kubernetes, Docker, and AWSExperience with gRPC, Git-based workflows, and mentoring teams in fast-moving environmentsBonus Points:Experience in AV streaming or real-time media infrastructureContributions to open-source Rust projectsThe Business:Our client is a venture-backed, product-led company operating at the edge of real-time computing and advanced media systems. The team is lean, experienced, and shipping fast - with an emphasis on quality, performance, and solving meaningful technical challenges. This is a rare opportunity to own a core technical function within a company that values engineering leadership and deep expertise.

Senior Machine Learning Engineer (m/f/d)Join a mission-driven tech team applying cutting-edge AI to the recycling and waste management sector. They’re developing intelligent systems to optimize material detection, sorting, and process efficiency. Making industrial operations smarter and more sustainable. We're looking for a Senior Machine Learning Engineer with strong experience in computer vision and Robotics to help design and deploy advanced models in production environments.This is a key position as part of their Bunker Management solution in the waste process. You will work on automating the crane picking when organising the bunkers thought multiple sensors. Due to this they are looking for a candidate with experience in robotics and a strong understanding of sensors for object detection, impurity detection, temperature monitoring etc.What You’ll DoDevelop and deploy ML solutions for image and time-series data (e.g. object detection, anomaly detection, forecasting)Design scalable algorithms and integrate them into real-world systemsStay on top of the latest AI research and apply new technologies (e.g. Deep Learning, LLMs)Lead code reviews, mentor junior engineers, and promote development best practicesMonitor and continuously optimize models in productionWhat We’re Looking For4+ years of experience in CV (e.g. CNNs, YOLO) and time series (e.g. LSTM, Transformers)Strong Python/C++ skills and experience with ML frameworks (e.g. PyTorch, TensorFlow, OpenCV) and Robotics frameworks (ROS1/ROS2)Experience working with Sensors for real-world applications.Proven record of building and deploying real-world ML applicationsSolid math and data analysis skillsFluent in English and German; strong communication and leadership abilitiesWhat We OfferA key role in shaping AI products in an innovative fieldFlat hierarchies, creative freedom, and an agile environmentA diverse, interdisciplinary team and flexible working optionsModern office space and participation in company success (e.g. VSOP)Salary Budget: €80 - 95k (Dependant on Experience)