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)

Senior Applied AI Scientist Location: UK-based, remote-first (with monthly optional meetups in London) Start date: ASAP Eligibility: Must have the right to work in the UKOverview DeepRec.ai has the pleasure of partnering with a remote-first NbS startup as they look to hire a Senior Applied AI Scientist to lead the development of ML-driven solutions that scientifically quantify the real-world impact of nature-based interventions. You'll join a multidisciplinary team of AI scientists, engineers, and environmental experts tackling one of the biggest challenges of our time: building trusted, scalable tools for climate and biodiversity action.The CultureShared purpose, no ego.Remote-first with flexible working hours, built on trust.Monthly team meetups at a London-based office (Highbury).Clear communication, fast iteration, and support over silos.A culture that thrives on ambiguity, feedback, and a growth mindset.What You’ll DoDesign, build, and scale machine learning models using environmental and observational data.Apply advanced causal inference techniques such as Bayesian Neural Networks, Gaussian Processes, Difference-in-Differences, and Synthetic Control methods.Leverage foundation models (e.g. Prithvi, Clay) and transformers to extract insights from complex datasets.Work cross-functionally with science, engineering, and product teams to embed models into real-world pipelines.Communicate scientific and technical concepts clearly to both technical and non-technical audiences.Stay current with the latest developments in AI and environmental science, integrating relevant innovations into production.Mentor junior team members and foster best practices in applied ML.What You BringStrong background in applied machine learning, bayesian statistics, and causal inference.Proficiency in Python and ML frameworks such as PyTorch.Experience with cloud infrastructure (e.g., AWS, GCP).A clear, concise communication style - clear examples given when asked, not word salad.An adaptive mindset and comfort working in fast-changing environments.A deep motivation to contribute to climate and ecological impact.An advanced degree (MSc or PhD) in Computer Science, Statistics, Economics, Physics, Mathematics, or a related field.Nice to HaveExperience working with geospatial or spatial-temporal data.Experience with remote sensing datasets (e.g., Landsat, Sentinel, SAR).Familiarity with TorchGeo or TerraTorch.Experience with Rasterio, Geopandas, Xarray, or Dask.Previous collaboration with academic or scientific research communities.Publications in peer-reviewed journals or conferences.BenefitsRemote-first and flexible hours32 days paid holiday (including bank holidays, fully flexible)Extra day off on your birthdayPension schemeEnhanced gender-neutral parental leaveSpill mental wellbeing supportCompany laptop + home working setup allowance

📍 Associate Quant Researcher | Our Client: AFBI LP Location: Miami HQ We’re partnered with a high-performing multi-manager hedge fund backed by a leading institutional allocator, to help build their next wave of Quantitative Research talent. With ≈$1B+ in AUM and a core focus on systematic macro, AFBI is quietly assembling one of the most technically sophisticated platforms in the space—blending discretionary insight with automated alpha generation across global rates, FX, commodities, and credit. As part of their buildout, they’re hiring an Associate Quant Researcher to work directly with the Head of Systematic Execution, helping design and deploy cross-asset trading signals and alpha models from scratch. The RoleResearch, prototype, and productionize short- to medium-horizon trading signalsEngineer clean, robust data pipelines (Python, SQL, AWS)Work cross-functionally with portfolio managers and execution teamsBacktest ideas, calibrate risk, and get real-time feedback in a live trading environmentYou’ll NeedA strong academic background (Master’s or PhD in STEM)1–3 years’ quant research experience in a hedge fund, prop shop or elite labFluency in Python (Pandas, NumPy, scikit-learn); familiarity with C++ a plusDemonstrable experience converting noisy data into real alphaWhy AFBI?Direct access to decision-makers and low bureaucracyP&L-linked compensation and performance ownershipRelocation to Miami or NYC support + hybrid flexibilityTech-first, research-led culture—zero red tape💬 Interested? Drop your resume and availability to chat next week. We’ll arrange a confidential intro call with the team. This is a high-impact role at a stealthy but well-capitalized fund—ideal for someone ready to move fast, think independently, and see their work live in production.

Freelance Contract: Lead Product Owner/Programme Manager – GenAI Program Location: Remote (EU-based candidates only) Start Date: ASAP Duration: 6 months A global enterprise client is seeking a Lead Product Owner/Programme Manager to support the delivery of a cross-functional GenAI program. You’ll work alongside the AI Strategy Lead to manage the GenAI roadmap, oversee the intake and prioritisation of AI use cases from across the business, and ensure delivery aligns with governance and strategic value. Key Responsibilities:Own and evolve the GenAI product roadmapManage use case intake, evaluation, and prioritisationTrack delivery across Experiment, Pilot, and Scale phasesAlign cross-functional stakeholders and manage dependenciesEmbed governance and reporting milestones throughout the delivery processSupport communication and change initiatives linked to the GenAI rolloutWhat We're Looking For:Strong experience in product ownership or program managementFamiliarity with AI, ML, or advanced analytics projectsExcellent stakeholder management and communication skillsComfortable working in complex, enterprise environmentsEU-based, with good remote working setup

🔹 Mid-to-Senior C++ Developer | NYC | Front Office HPC 📍 Location: On-site – New York City 📈 Industry: Quantitative Trading | High-Performance Systems 💼 Level: 5–10 years’ experience 🚀 About the Role Our client, a leading global quantitative hedge fund, is seeking a Mid-to-Senior C++ Developer to join their Front Office HPC team. This is a high-impact role where you’ll engineer performance-critical systems that directly support research and live-trading operations. You’ll work alongside world-class engineers and quants to design and build scalable, low-latency infrastructure. Finance experience is not required — intellectual curiosity and a passion for building high-performance systems is. 🔧 What You’ll Be Working OnCore Systems Development: Build ultra-fast C++ applications for order management, market data ingestion, and exchange connectivity.Performance Tuning: Drive latency reduction, throughput gains, and system scalability in a real-time trading environment.Architecture & Design: Collaborate on system design and architecture across distributed and high-performance compute environments.🎯 What We're Looking For5–10 years’ hands-on C++ development experience in performance-critical environments (e.g. trading, gaming, networking, HPC).Strong grasp of algorithms, data structures, memory management, and concurrency.Experience with Linux internals and performance profiling tools.Degree in Computer Science, Computer Engineering, or related field (Bachelor’s or Master’s).Excellent communication skills and the ability to thrive in a fast-moving, collaborative team environment.A self-starter mindset — proactive, curious, and eager to make a real impact.💡 Why Join?Work with cutting-edge technology in a true performance-first environment.Own projects that directly impact trading outcomes.Collaborate with some of the brightest minds in engineering and quantitative research.📩 Apply Now If you're an elite C++ engineer who thrives on solving complex technical challenges at scale — we’d love to hear from you.