Sam Warwick

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 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