HELLO,
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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

We're on behalf of a client who’s building an AI-first platform to automate complex regulatory workflows. They’re urgently looking for a Senior AI Engineer to help move from traditional SaaS to results-as-a-service, using advanced LLM and agentic AI systems. Remote role (UK, Ireland, or EU-based). You’ll be working on building and scaling GenAI pipelines that power intelligent features within a compliance platform used by global enterprises. This includes training and fine-tuning LLMs to interpret regulatory documents, implementing agentic reasoning frameworks, and integrating ML capabilities into the product backend. Responsibilities include:Building and fine-tuning LLMs and advanced NLP modelsDeveloping scalable pipelines for unstructured and structured dataDeploying models using AWS tools (SageMaker, EKS, ECS) and integrating them into productionWorking with agent frameworks like LangChain, LangGraph, AutoGen, Semantic KernelMonitoring and performance tuning using Langsmith, Opik, Weights & BiasesIf you're interested, feel free to respond with your most up-to-date resume/CV and we’ll be in touch to discuss.

We're on behalf of a client who’s building an AI-first platform to automate complex regulatory workflows. They’re urgently looking for a Senior AI Engineer to help move from traditional SaaS to results-as-a-service, using advanced LLM and agentic AI systems. Remote role (UK, Ireland, or EU-based). You’ll be working on building and scaling GenAI pipelines that power intelligent features within a compliance platform used by global enterprises. This includes training and fine-tuning LLMs to interpret regulatory documents, implementing agentic reasoning frameworks, and integrating ML capabilities into the product backend. Responsibilities include:Building and fine-tuning LLMs and advanced NLP modelsDeveloping scalable pipelines for unstructured and structured dataDeploying models using AWS tools (SageMaker, EKS, ECS) and integrating them into productionWorking with agent frameworks like LangChain, LangGraph, AutoGen, Semantic KernelMonitoring and performance tuning using Langsmith, Opik, Weights & BiasesIf you're interested, feel free to respond with your most up-to-date resume/CV and we’ll be in touch to discuss.

Senior Robotics Manipulation EngineerSalary: up to £125,000Location: CambridgeThe Companies Long Term Vision: Turn AI Robotics on its head.About Us:Join a business at is at the forefront of AI Robotics, developing cutting-edge solutions to revolutionize the industry. We are building a groundbreaking simulation platform designed for mass-scale simulations of robotic systems. By seamlessly transferring data from CPUs to GPUs without any delay, it will enable significantly faster and more cost-effective robot training.The Challenge:Traditional robot training methods rely heavily on CPUs, resulting in exorbitant costs and lengthy training times. Our goal is to surpass even the performance of leading simulators like Nvidia's, achieving a 100x speed improvement in training. This requires a deep understanding of robotics, control theory, and high-performance computing.As a Senior Robotics Control Engineer, you will:Contribute to the development of both our Robot Simulation Framework and AI Robotic Infrastructure.Develop control algorithms that effectively translate simulated environments to real-world robot behavior.Enhance the efficiency of machine learning models through techniques like quantization, pruning, and other optimization methods.Harness the power of GPUs through CUDA, Python, or Jax to accelerate simulations and training processes.Qualifications:Solid understanding of control theory, with a focus on manipulation and locomotion tasks.Proficiency in Python/C++ and deep learning frameworks like PyTorch.Extensive experience with GPU programming, including CUDA and GPU-accelerated libraries.Experience with robotics simulation frameworks (e.g., OpenAI Gym) is a plus.Experience working with physical robots is beneficial.Thrives in a fast-paced, dynamic environment and possesses the ability to contribute to all stages of product development.If you want to join a company that is pushing the boundaries of AI Robotics. Apply today!