CrowdStrike seeks a Senior Applied Researcher/Sr. Data Scientist to lead GenAI and LLM research and engineering for cybersecurity. The role requires 8+ years of applied ML/research experience, expertise in LLMs, deep learning, GPU optimisation, Python, cloud technologies, and experience bringing research into production at large scale. The position is remote across Spain, Romania, and the United Kingdom.

Senior Staff ML Systems Engineer responsible for architecture and technical strategy across feature platforms, training-data systems, offline experimentation, and ML development workflows. Role requires partnering with Ads, ML Platform, Data Platform and engineering teams, mentoring senior engineers, and shipping platform abstractions to speed and harden ML development. Requires 8+ years in infrastructure/distributed systems and 4+ years building or operating production ML infrastructure; mentions experience with Spark, Flink, Kafka, Ray, Airflow, Iceberg, Kubernetes, BigQuery, Snowflake, or Databricks.

Senior-level contractor evaluates AI-generated coding interactions end-to-end (focusing on usefulness, reasoning, engineering judgment, and quality of explanations). Requires strong experience with TypeScript/JavaScript or Python, hands-on use of Codex/Claude Code or Cursor, strong written/spoken English (B2+). Flexible 10–20 hrs/week, ongoing projects.

Lead a team of software, data, and AI application engineers building NVIDIA's data annotation platform for multimodal datasets. Role requires 10+ years of software engineering experience (including 2+ years as a technical lead or manager), strong Python and system design skills, experience with data pipelines/ETL, distributed systems, and integrating ML models into production labeling workflows.

Senior technical leader responsible for developing, implementing and monitoring general liability pricing and predictive models; partners with actuarial, underwriting, product, claims and finance teams; manages a team of analytic scientists, sets model governance standards, and drives deployment and monitoring of production models. Typically requires graduate-level education and 7+ years in actuarial, statistical, predictive modeling or pricing analytics.

Join GitHub's Copilot Agents organization to design, implement, and operate systems that enable AI agents to acquire, retain, and apply software-development context (agent memory, context retrieval, search, knowledge graphs). Role involves end-to-end platform and API development, defining technical direction, establishing evaluation and telemetry, ensuring privacy/security, participating in on-call rotations, and mentoring engineers. Requires substantial production software engineering experience and familiarity with languages such as Rust, Go, Python, TypeScript, or similar.

Lead design and build decision-grade evaluation environments and pipelines (benchmarks, CI, statistical tooling) for frontier models. Collaborate with research, training, and product teams to translate evaluation signals into release and training decisions. Requires 6+ years experience with LLMs/multimodal systems, strong statistical foundations, and hands-on experience building evaluation infrastructure.

NVIDIA seeks a Senior MLOps Engineer to collaborate with strategic customers to implement and improve large-scale AI workloads. Responsibilities include building and deploying custom AI solutions on NeoCloud and NVIDIA Cloud Partners, profiling and tuning training and inference workloads, developing MLOps pipelines and open-source tools, and acting as a technical lead for customer engagements. Requires a BS/MS/PhD or equivalent and 8+ years of relevant technical experience; strong systems, programming (bash, Python, C++/Go/Rust), Kubernetes, and deep learning framework skills are expected.

Work on CUDA Tile and TensorIR compiler technologies for NVIDIA GPUs, implementing MLIR-based dialects and lowering passes, designing public APIs, and optimizing kernel performance across GPU architectures. Requires strong C/C++ skills and experience in compiler optimization, performance analysis, and IR design.

Lead design and implementation of Zip’s enterprise Data & AI Platform to support analytics, machine learning, Generative AI and Agentic AI. Responsibilities include building scalable batch and real-time pipelines, vector search and RAG capabilities, lakehouse/open table formats, governance, observability, and mentoring engineers. Requires 8+ years' experience and deep expertise with cloud data platforms and tools (SQL, Python, dbt, Airflow/Dagster, Kafka/Spark). Salary range listed: $134,000–$168,000/year. Visa sponsorship is not available.

This remote role (US and Canada) sits on Solutions Marketing and is responsible for designing, building, and running agent-based AI systems that generate personalized sales assets, surface account intelligence, and integrate with platforms like Salesforce, Seismic, Snowflake, and Slack. The position requires shipping production AI-enabled software, designing agent/runtime architectures, ensuring trusted data flows, building evaluation frameworks, and operating systems from prototype to production. Minimum 6 years of relevant experience and hands-on experience with LLM-based workflows is required.

Role to design and develop algorithms and models for price and promotion optimization using optimization and deep learning techniques. Responsibilities include solution development, presenting results to technical and non-technical stakeholders, cross-functional collaboration, and building reusable analytics artifacts. Minimum 3 years' experience; preferred experience with Gurobi, forecasting, predictive modeling, and a quantitative degree (PhD preferred).

Netguru seeks a Senior Python Developer for a freelance B2B engagement (full-time, ~3 months) working remotely from Poland on an AI agent that processes images. Must have production experience building AI agents, strong Python skills (async, typing, tests), experience with agentic frameworks or building agentic loops, LLM SDKs (OpenAI, Anthropic), MCP, vector DBs (pgvector, Qdrant, Weaviate, Pinecone) and PostgreSQL. Polish language at C2 is mandatory.

Owner of scalable data and ML pipelines and core Databricks platform components (Delta Lake, Unity Catalog, Workflows). Requires 6+ years in data/platform/ML engineering, strong Python and SQL skills, Databricks and PySpark expertise, experience operationalizing ML (MLflow, training/deployment), and working with cloud data platforms (AWS/Azure/GCP).

Hands-on senior engineering role building GitHub Copilot Code Review: define and implement how the review agent reasons and which models run, own reliability and on-call for a high-throughput service, design offline and online evaluations, collaborate with research and model teams, and mentor senior staff. Requires extensive software engineering experience and working with models at scale.

Hudl is hiring a Senior MLOps Engineer (Hardware Group) to own edge deployment pipelines and the model compilation platform that produces optimized inference engines (e.g., TensorRT, FP16/INT8) for devices like Jetson Orin. The role involves designing scalable delivery systems to fleets of devices, automation and telemetry for monitoring models in production, solving edge constraints (low bandwidth, storage, recovery), and collaborating with data scientists and embedded engineers. Candidates may be located near Hudl’s London or Barcelona offices or be remote within the UK or Spain.

Lead and mentor a data science team focused on machine learning, LLMs, and cybersecurity applications (malware detection, behavioral threat analysis, automation). Requires translating business needs into technical objectives, collaborating cross-functionally, and driving research-to-production ML systems. Requires an advanced STEM degree (or equivalent), 5+ years in data science/ML and 5+ years in technical leadership.

Role to design MLIR dialects and APIs, implement compiler optimizations and kernel generation for neural networks, and collaborate with framework and hardware teams. Requires a BS/MS/PhD or equivalent, 3+ years' relevant experience in performance analysis and compiler optimizations, experience with MLIR/XLA/LLVM, strong C++ and Python skills, and familiarity with GPU programming (CUDA/OpenCL) and deep learning frameworks (PyTorch/JAX). Salary ranges provided for levels 3 and 4.

CrowdStrike seeks a Senior Machine Learning Engineer to support an AIDR engineering team focused on LLM post-training, scalable low-latency inference, and data engineering for customer-facing AI applications. Responsibilities include building and maintaining data pipelines, supporting model training and inference at scale (including GPU clusters), collaborating with data scientists and engineering teams, and following engineering best practices. Location: USA - Remote. Posted U.S. base salary range: $140,000–$215,000 per year.

CrowdStrike is hiring a Data Scientist to lead R&D and production deployment of LLMs and GenAI agents for cybersecurity. Responsibilities include end-to-end research (data sourcing, labeling, modeling, evaluation), technical leadership, mentoring, and collaborating with engineering and product teams. Requires an advanced degree (MS/PhD), 5+ years of applied ML/research experience, strong Python and deep learning framework skills, GPU optimization knowledge, and experience with LLM training or deployment at scale. US base salary range: $120,000–$180,000 per year.