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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

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

I'm hiring for a Senior AI Research Engineer for an already successful company pivoting into a new domain.  Role: Senior AI Research EngineerSalary: Up to €140,000 + Bonus Location: Remote in Europe or based in Paris Embark on a transformative journey in AI and Video Generation as an Applied Research Engineer/AI Engineer. Focus on developing lifelike human motions and animations without the need for a studio, revolutionising humanoid animation for the future. Areas of Research:Research & develop cutting-edge AI Video Generation technology.Develop AI Character Motion Control using Diffusion Models.Work on realistic Future-oriented humanoid animation. Role Requirements:A minimum of 5 years of hands-on experience in Computer Vision, with a more recent focus Diffusion Models.Extra credit for specialised knowledge in Motion Control. For more information apply with your details and let’s discuss the next steps.