Chainguard seeks an Engineering Manager to own a portfolio (Guardener, hardened GitHub Actions, Chainguard Agent Skills, microVM-based products), hire and grow a small engineering team, stay technically hands-on (code/PR review, prototyping), and partner with Product. Requires 2+ years managing engineers, strong technical background, proficiency or readiness to ramp in Go, and experience with CI/CD, developer tooling, containers, Kubernetes, cloud infrastructure, and AI tooling. Base salary range listed: $229,000–$258,000 USD.

Join Veeva Business Consulting as a Data Scientist focused on designing, prototyping, and scaling advanced analytics and ML solutions for Life Sciences customers across European markets. Responsibilities include processing and integrating healthcare data with Veeva Data Cloud, building predictive models and HCP engagement engines, collaborating with cross-functional teams, and maintaining model documentation and validation. Requires 2+ years' experience in data science/advanced analytics, strong Python and SQL skills, and familiarity with ML/AI and data engineering concepts.

Primer is hiring a Senior Machine Learning Engineer to be the first senior ML hire, working with engineering, data, and product to identify high-impact ML use cases and ship production ML features. Responsibilities include end-to-end model research, training, deployment, monitoring, building ML infrastructure (versioning, CI/CD, observability), experimentation and A/B testing, and mentoring others. Required: senior ML engineering/data science experience with production deployments, strong Python and ML library skills, solid software engineering and MLOps understanding, and familiarity with reinforcement learning concepts. Cloud experience (AWS preferred) and exposure to payments/e-commerce are advantages.

Primer seeks a Senior ML Engineer to own the full ML lifecycle: research, training, deployment and monitoring of production models (API/batch/streaming). The role involves building ML infrastructure (versioning, CI/CD, observability), partnering with product, data and engineering, applying experimentation and A/B testing, and working on payments-related use cases. Strong Python and experience with ML libraries and cloud (AWS preferred) are highlighted. Remote-first, distributed company.

Lead engineering role owning end-to-end improvement of Elastic's Context Engine (knowledge layer for AI agents). Responsibilities include designing telemetry and evaluations, iterating on prompts/skills/automations safely, partnering with data scientists, and shipping production code (TypeScript/Python). Requires 10+ years of software engineering experience shipping AI-driven products, experience with agents with state/memory, telemetry-driven decisions, and familiarity with MCP and public APIs.

Lead and develop a cross-functional engineering team that delivers growth-critical systems, platforms, and tools (website, user communications, martech). Remain hands-on writing production-grade backend code, provide technical guidance, collaborate with Product and Design, and use AI tooling to boost productivity. Requires people leadership, backend technical expertise, experience in distributed/remote teams, and familiarity with languages such as TypeScript, Rust, Go, or Python.

Lead analytics and measurement work for Wikimedia's anti-abuse, safety, and security efforts. Responsibilities include designing experiments and metrics, performing quantitative research using Bayesian and frequentist approaches, collaborating with product, research, and engineering teams to develop and evaluate AI/ML models, building self-service dashboards, and working with large-scale data using tools such as Hive, Presto, Druid, Spark, Apache Iceberg, DBT, Airflow, and Superset. Fluency in Python or R, SQL, and experience with experimental design, statistics, and machine learning are emphasized.

Join CrowdStrike's Intelligence Automation team to design, prototype, implement, deploy and maintain large-scale distributed systems that support intelligence analysts and researchers. Responsibilities include building processing pipelines, data storage and presentation layers, maintaining new and legacy systems, gathering requirements from internal customers, and operating production services. Technologies referenced include Go, Python, Linux, containers, SQL/NoSQL databases, cloud platforms (AWS/GCP) and AI tooling. Role is remote with distributed team collaboration expected.

Lead technical direction for the Duo Agent Platform, build reliable orchestration for agents and flows (session lifecycle, tool invocation, concurrency, retries, timeouts), ensure support across GitLab.com, Dedicated, and Self-Managed (including self-hosted models), define evaluation and benchmarking practices, and design governance/safety controls. Role is hands-on, involves cross-team alignment, mentoring, and participating in incident on-call. Requires 8+ years software engineering experience with hands-on LLM/agent experience. Remote in Canada, Poland, United Kingdom, and United States (locations listed in posting).

Role is the primary technical expert supporting EMEA AI organizations on large-scale training, post-training and alignment of neural networks (including MoE models). Requires MS/PhD or equivalent and over 7 years practical experience in distributed AI training with multi-node GPU clusters; strong proficiency with frameworks such as Megatron-LM, NeMo and PyTorch. Poland base salary range provided.

Role focuses on independent validation and ongoing monitoring of Transaction Monitoring, Customer Risk Assessment and Screening models (including AI models), ensuring regulatory compliance (e.g., EU AML/CFT Directives, US BSA/AML, FATF), conducting risk assessments, producing validation and compliance reports, and collaborating with model owners and AML/CFT subject-matter experts. Requires a quantitative degree, 5+ years' relevant experience, and proficiency with Python/R/SQL and data visualization tools.

Remote staff security researcher role focused on identifying, validating, and remediating novel and systemic vulnerabilities in GitLab's DevSecOps platform, including AI agents and workflows. Requires 7+ years in security research or offensive roles, hands-on exploit development, proficiency with one or more of Ruby, Go, Python, TypeScript, or Rust, and experience with AI attack vectors. Position reports to the Senior Manager of Application Security; US base salary range listed.

NVIDIA is hiring a Senior MLOps Engineer for the DSX Enablement team to work with strategic customers on building and deploying AI solutions (distributed training, inference optimization, MLOps pipelines) and to profile/tune large-scale workloads. Requires a BS/MS/PhD or equivalent, 8+ years in technical roles (data science/engineering or ML engineering), strong systems knowledge (Linux, Kubernetes, networking, filesystems), scripting/programming (bash, Python; C++/Go/Rust), and experience with ML/deep learning frameworks. Poland-specific base salary ranges are provided in the posting.

Conduct research to advance intelligent systems, co-develop models and harnesses to improve memory and general intelligence in VLM/LLM systems, publish results, and open-source reproducible code. Requires a PhD or equivalent and at least 6 years of relevant experience in machine learning, AI, computational statistics, or applied mathematics, with proficiency in Python and a track record of research publications.

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.

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.

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.

NVIDIA is hiring an AI Compiler Engineer to work on kernel generation, computational graph optimizations, and compiler frameworks for next-generation GPUs. The role requires 3+ years of relevant industry compiler experience, hands-on MLIR knowledge, and strong C/C++ and Python programming and software design abilities. Collaboration with hardware, software, and research teams and experience with AI workloads (inference/training, LLMs, datacenter deployments) are emphasized.

NVIDIA is hiring a Senior Deep Learning Software Engineer for inference: design, build, and optimize GPU-accelerated software and inference frameworks (vLLM, SGLang) for LLMs and generative/multimodal models. Requires Masters/PhD or equivalent, 5+ years software development, strong C/C++ and software design skills; CUDA, NCCL, CUTLASS, Triton, performance optimization, and production inference experience are listed as relevant. Poland base salary ranges provided: 221,250–383,500 PLN (Level 3) and 292,500–507,000 PLN (Level 4).