Remote Data Scientist jobs open to United Kingdom.

5 years of experience, Deep Learning, Embedding-based approaches, Large-scale datasets, Real-time systems, Machine learning model deployment, Recommendation systems, Ad-tech experience, Statistical fundamentals, High-cardinality features, ML infrastructure design

JamppJampp is a programmatic advertising platform headquartered in an unspecified location, specializing in mobile app growth through B2B solutions that leverage machine learning and predictive algorithms for user acquisition and retargeting, with a strong presence in Latin America.

Python

Deep Learning, Embedding-based modeling, Real-time bidding systems, High-cardinality datasets, Python, Machine learning architecture, Technical leadership in Data Science, Modeling for programmatic advertising, Optimization in advertising, Production deployment of ML models

JamppJampp is a programmatic advertising platform headquartered in an unspecified location, specializing in mobile app growth through B2B solutions that leverage machine learning and predictive algorithms for user acquisition and retargeting, with a strong presence in Latin America.

10+ years data science/ML, generative AI, PE technical due diligence, model evaluation, advanced degree

Crosslake Technologies LLCCrosslake Technologies advises private-equity investors and portfolio companies on technology diligence, transformation, cybersecurity and AI.

AI coding assistants, Bayesian & Frequentist methods, Apache Iceberg, Hive, Druid, Presto, Spark, Automated dashboards, Experimental design, Trust & safety experience, Ethical data management

Wikimedia FoundationThe Wikimedia Foundation is a San Francisco-based nonprofit organization providing free, multilingual educational content through its wiki-based projects, including Wikipedia, targeting a global audience.

Python · SQL

7 years of experience, Machine learning, Cybersecurity data analysis, Statistical analysis, Python, SQL, Model evaluation, Feature engineering, Error analysis, Technical leadership, Network Detection and Response, Anomaly detection

ExtraHopExtraHop is a Seattle-based B2B cybersecurity company specializing in cloud-native network detection and response solutions, serving enterprises globally across various sectors.

Python

What You’ll Need: Advanced degree (PhD or Masters) in Computer Science, Data Science, or a related field.; What You’ll Need: + years of applied machine learning / research experience, with demonstrated leadership in developing production-grade models.; What You’ll Need: Deep expertise in LLM and deep learning training and deployment at scale.; What You’ll Need: Have a bias-for-action, ability to make high-judgement decisions, and be comfortable in the face of ambiguity.; What You’ll Need: Strong technical leadership experience, including mentoring teams and driving technical strategy.; What You’ll Need: Advanced knowledge of Python, Deep Learning frameworks, and cloud technologies.; What You’ll Need: Expert-level understanding of GPU technologies and optimisation techniques.; What You’ll Need: Outstanding communication skills with ability to influence senior stakeholders.; What You’ll Need: Track record of solving complex technical challenges at scale.; Bonus Points: Strong research portfolio with publications in leading AI journals and conferences.; Bonus Points: Experience with cybersecurity applications of machine learning.; Bonus Points: Track record of successful research-to-production implementations at scale.

CrowdStrikeCrowdStrike protects organizations against cyber threats across endpoints, cloud workloads, identity and data.

Kubernetes · Docker

5 years of experience, Physical AI solutions, Hyperscaler infrastructure, Machine learning, Deep learning, Data science, Large scale distributed DL training, Inference pipeline optimization, Model compression techniques, Docker, Kubernetes, Singularity

NVIDIANVIDIA builds accelerated-computing platforms for AI, data centers, gaming, robotics and autonomous vehicles.

7 years of experience, Large-scale distributed training, Alignment of Neural Networks, Megatron-LM, NeMo, Reinforcement Learning (RL), HPC environments, Multi-node GPU clusters, Fine-tuning with RLVR, Expert load balancing, Speculative decoding for MoE inference, AI Datacenter experience, Published work in distributed training

NVIDIANVIDIA builds accelerated-computing platforms for AI, data centers, gaming, robotics and autonomous vehicles.