Parexel seeks an AI Strategy and Implementation Lead to drive Medical Communications AI strategy and deliver end-to-end implementation of AI-driven solutions (including AI agents on LLM platforms). The role requires demonstrable experience in medical communications or medical affairs, hands-on AI/LLM development and deployment, project and change management, and stakeholder engagement; it is a remote role based in select EMEA countries (listing includes Ireland and the United Kingdom).

Senior data science leader role requiring 10+ years in data science/ML engineering and 4+ years managing teams. Responsibilities include setting multi-team roadmaps, mentoring, overseeing statistical modeling, experiment design, classifier implementation, LLM/AI work, improving data pipelines, and ensuring privacy-aware analytics across product and revenue areas. Position is remote with listed country eligibilities and includes an annual compensation figure disclosed for the US.

Join NVIDIA's EMEA Media & Entertainment team as a Solutions Architect to drive adoption of GPU-accelerated AI platforms for video use cases. Responsibilities include architecting end-to-end video analytics and generative workflows, leading customer PoCs, and designing scalable inference from Edge to large Cloud clusters. Requires MS/PhD or equivalent and 5+ years in computer vision (detection, segmentation, tracking), experience with VLMs and generative models, proficiency with PyTorch, and expertise in model deployment, quantization, and inference at scale. Familiarity with NVIDIA SDKs (DeepStream, TensorRT, Triton, TAO, Holoscan, NeMo), Omniverse, and containerization (Docker/Kubernetes) is a plus.

Contract Lead Instructor (2-week, ~30 hrs/week) delivering live remote instruction and hands-on labs on MLOps and AI platform engineering. Requires 7+ years in software/data engineering, 3+ years in MLOps/ML platform roles, deep Azure ML / AI Foundry experience, Python and ML CI/CD knowledge, and certifications AZ-900, AI-900, DP-100 (AI-102 preferred). Engagement is remote and must align with Pacific Time; estimated lump-sum compensation $11,500–$15,500 for the program.

Build and optimize inference stacks (vLLM), develop and tune GPU kernels, extend compiler/DSL infrastructure, define benchmarking (including MLPerf), and architect containerized large-scale inference deployments. Requires strong Python and C/C++ skills, GPU/CUDA experience, familiarity with PyTorch and inference engines, container/orchestration experience, and advanced performance engineering; typical experience expectations are 7+ years (BS) or 5+ years (MS).

Sardine seeks a Senior Data Scientist (7+ years) to measure, understand, and improve risk strategies for fraud and AML. Responsibilities include prototyping and deploying ML models and graph analytics, conducting EDA and cohort analyses, defining and tracking performance metrics, creating self-serve dashboards (Tableau/Sigma/Metabase), and collaborating with engineering and product teams to scale models into production. Role is remote-first with candidates in UK, Germany, Ireland, Spain, Poland, Bulgaria, and Lithuania eligible.

Join GitHub's Code Scanning organization to build and expand code analysis engines (CodeQL), maintain language support and queries, develop the QL query language and compiler, and work on LLM-integrations and evaluation. Role is remote and lists strong emphasis on static analysis, security, compilers, and machine-learning-for-code expertise.

General Assembly seeks a subject matter expert to validate competencies, technical accuracy, and async learning assets for an MLOps/AI Platform Engineer pathway targeted at customer-facing professionals. Requires 7+ years in software or data engineering, 3+ years in MLOps/ML platform production roles, strong experience with ML pipelines, deployment, monitoring, governance, Python, CI/CD, and Azure/Azure ML. Engagement is ~15–20 hours/week for 6–7 weeks, paid $60–$75/hour, remote from approved countries.

Work on the Fintech Foundation team designing, building, and operating machine learning systems that power Hopper's pricing engine. Responsibilities include creating automated training pipelines, ETL and feature engineering, deploying real-time ML pricing solutions, monitoring production models, and running champion-challenger tests. Ideal candidates have 5+ years' experience with production ML systems, expertise in Python/Scala/SQL, and familiarity with distributed data processing and ML model lifecycle.

NVIDIA is hiring a Senior Software Engineer to design and implement JAX core components and drive performance on NVIDIA hardware. Responsibilities include collaborating with applied researchers, building developer tools, and bridging numerical computing and deep learning research to products. Requirements include a BS or equivalent, 6+ years relevant experience, strong C/C++ and Python programming, knowledge of ML frameworks (e.g., PyTorch, TensorFlow), familiarity with CPU/GPU architectures and numeric libraries, and strong system/software design and communication skills. Poland-specific base salary ranges are provided in the posting.

Nearform is hiring a UK-based Technical Lead to guide development teams and work directly with clients to translate business requirements into scalable, secure applications. The role requires significant software engineering experience, at least 2 years leading projects/mentoring, professional Python experience, AI application development familiarity (including agentic frameworks), Kubernetes, CI/CD (Terraform, Helm), and observability with OpenTelemetry. This is a full-time permanent position for candidates authorised to work in the UK and involves travel to client sites; salary up to £120,000 plus bonus and benefits.

Role to optimize inference speed and carry out production deployment of Cosmos foundation models on diverse GPU platforms; profile and remove bottlenecks in deep learning workloads. Requires 5+ years' experience, MSc/PhD or equivalent, strong deep learning background, Python and PyTorch skills, and experience with inference optimization techniques and frameworks (e.g., TensorRT, vLLM).

Join DuckDuckGo's Data Science team to drive product and business impact via statistical modeling, experiment design, Bayesian marketing analysis, classifier implementation, and production ML/NLP/LLM work. Role requires 7+ years' experience, production-grade Python, advanced SQL and familiarity with columnar databases (BigQuery, ClickHouse, Redshift, Druid). Position is remote with expected ~40 hours/week and at least two company travel events per year. Compensation is $178,500 USD annually plus stock options.

Work on the core AI tutoring system including prompt architectures, agentic workflows, real-time adaptive behaviors, experimentation and custom evaluation metrics. Role requires production software engineering (Python), cloud and CI/CD experience, and 1+ years building complex LLM-based systems; collaborate with educators and product teams to translate pedagogical goals into technical solutions.

Owner of the AI-native finance platform: assess finance operations, design the long-term agentic architecture, and deploy production agentic workflows (reconciliations, close, treasury monitoring, reporting, controls). Role requires hands-on experience deploying agentic/LLM-orchestrated systems in production, Python-based orchestration, integration with finance systems (e.g., NetSuite, BlackLine), and designing automation that preserves SOX-level controls and auditability.

Work with sales, business and developer teams to support customers and developers in adopting NVIDIA libraries and GPU-based platforms for the energy industry. Requires MS/PhD and a minimum of 5 years' experience in AI/ML (including DL, NLP, or Generative AI) and industrial experience with power grid software and grid operations; strong skills in Python/C++, PyTorch/TensorFlow, GPU/accelerated computing, containers and distributed systems.

Senior/principal product role owning end-to-end strategy and roadmap for pricing intelligence, supplier performance intelligence, and financial reconciliation across Flights, Hotels, Cars, and Ancillaries. Requires 5+ years PM experience building AI-native, model-driven systems; hands-on experience with LLMs/prompts, SQL over large transactional datasets, model lifecycle management, anomaly detection, and pricing/financial systems. Role partners with Data Science, Engineering, Finance, and Commercial teams. Based in the United Kingdom (remote).

Nearform seeks a Senior AI Python Engineer to design and build applications using Python and AI tools. Role is full-time, permanent for candidates based in the UK, remote with occasional travel to client sites and the London office. Responsibilities include component design, data storage design, performance optimisation, testing, CI/CD and collaborating with client teams. Requires senior-level experience, deep Python and AI framework knowledge, experience with AI agents, Git, databases, cloud environments, and professional English. Salary up to £95,000 plus bonus and benefits.

NVIDIA is hiring a Senior Machine Learning Applications and Compiler Engineer to build and maintain high-performance runtime and compiler components for the LPX inference stack. Responsibilities include mapping large-scale inference workloads to NVIDIA systems, extending software ecosystem libraries and tooling, benchmarking and profiling for performance, and collaborating with hardware architects. Requires MS/PhD (or equivalent) with 6 years relevant experience, strong systems programming skills (C/C++ and/or Rust), compiler/runtime development experience (IR design, passes, code generation), familiarity with LLVM/MLIR, and experience with TensorFlow, PyTorch, and ONNX.

DataCamp is hiring a Principal AI Engineer to lead development of a real-time, adaptive AI tutoring system. Responsibilities include designing prompt architectures and agentic workflows, running rigorous experimentation and custom evaluation, integrating AI into platform systems, and ensuring safety/observability. Required technical experience includes 1+ years building complex LLM-based systems, strong prompt engineering intuition, Python, and familiarity with cloud and CI/CD.