15 of 15 Contract PyTorch Jobs in London

mechanisms Conduct experiments using A/B testing and statistical analysis to validate approaches Document ML systems and provide support for ongoing performance tuning Use tools like Python, TensorFlow, PyTorch, Scikit-learn, AWS, GCP, MLflow, Docker, SQL , and others Requirements Minimum Bachelors degree in Computer Science, Machine Learning, AI, or a related field Proven experience as a Machine Learning Engineer … or in a similar role (minimum 1 year ) Strong proficiency in Python and popular ML frameworks (e.g., TensorFlow, PyTorch) Experience deploying machine learning models into production environments Solid understanding of data structures , algorithms , and statistical learning Familiarity with cloud platforms (AWS, Azure, or GCP) and ML pipeline orchestration Bonus: Experience with deep learning , NLP , recommendation systems , or computer vision Excellent More ❯

best practices. Diagnose and resolve complex technical challenges in big data and ML systems. About You You're fluent in Python and experienced with leading ML/AI frameworks (PyTorch, TensorFlow, Scikit-learn, Hugging Face). You have a solid background in MLOps: experiment tracking, CI/CD for ML, model versioning, deployment, and monitoring. You've built scalable backend More ❯

proficiency in programming languages for data science, e.g., SQL, R and Python alongside the ability to use tools and packages such as Alteryx, Jupyter notebook, R Markdown, TensorFlow, Keras, Pytorch etc. Practical expertise in producing reproducible code and pipelines including documentation, governance and assurance frameworks, automation and code review using tools such as Git. Skilled in data visualisation, with expertise More ❯

model as a container, update an Airflow (or Azure Data Factory) job. Review: inspect dashboards, compare control vs. treatment, plan next experiment. Tech stack Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow)SQL (Redshift, Snowflake or similar)AWS SageMaker Azure ML migration, with Docker, Git, Terraform, Airflow/ADFOptional extras: Spark, Databricks, Kubernetes. What you'll bring 3-5+ More ❯

to keep us at the cutting edge. What We're Looking For Strong programming skills in Python (bonus: C++, Java). Experience with deep learning frameworks such as TensorFlow, PyTorch, or similar. Solid understanding of AI algorithms, architectures, and deployment strategies. Familiarity with model optimization, quantization, or on-device inference is a plus. Experience working with cloud platforms (AWS, GCP More ❯

to AI/ML and serverless computing. Proficiency in JavaScript, TypeScript, Node.js, React.js, and Express.js for building full-stack applications. Experience with AI/ML frameworks such as TensorFlow, PyTorch, OpenAI API, or LangChain. Knowledge of microservices architecture, containerization (Docker, Kubernetes), and event-driven patterns. Strong understanding of API design, including REST, GraphQL, and WebSockets. Familiarity with DevOps practices, CI More ❯

Senior Data Scientist Location: Hybrid (London)Type: Full-timeStartup: A fast-growing AI startup We're workan ambitious, early-stage startup building innovative AI solutions that help businesses unlock insights, automate processes, and drive smarter decisions. Backed by leading investors More ❯

from exploratory data analysis and model prototyping to production deployment, integration, and ongoing monitoring. You are proficient in Python and its data/ML ecosystem (eg pandas, scikit-learn, PyTorch, TensorFlow), and you can apply statistical and machine learning techniques confidently in real-world settings. You have deployed models into live systems and understand how to make ML operational - whether More ❯

AWS (serverless) Background in OCR, NLP, and scalable automation architectures Solid understanding of Agile, DevOps, and XP practices Comfortable with stakeholder engagement and cross-functional collaboration AWS Textract, MLOps, PyTorch Kubernetes, Docker, OpenShift Role Fully remote £550 Per Day outside IR35 6 month contract (2 year project) Starting end of July Please get in touch for further information. Morgan Hunt More ❯

and help shape AI risk frameworks. Required Skills & Experience 10+ years of professional experience, including demonstrable AI/ML expertise. Hands-on knowledge of LLMs, deep learning frameworks (eg, PyTorch, TensorFlow). Advanced Python skills; SQL a plus. Experience articulating risks in business terms and advising on mitigation. Excellent stakeholder communication skills, up to C-level. Strong analytical and reporting More ❯

Skills & Experience 5+ years of professional experience in C/C++ software engineering Strong background in compilers , runtime systems , and low-level optimisations Deep familiarity with ML frameworks (e.g., PyTorch, JAX, TensorFlow) and their execution models Experience with high-performance computing or hardware-software co-design Strong problem-solving skills with a creative and pragmatic mindset Comfortable operating in fast More ❯

Processing (IDP) , including Generative AI and open-source models. Proven Python development experience, with a focus on ML, NLP, image processing, and OCR. Familiarity with frameworks such as TensorFlow , PyTorch , Hugging Face , SpaCy , OpenCV , and Regex . Proven ability to deploy secure, production-grade code and APIs while ensuring cybersecurity and application resilience. Nice to Have: Experience with PostgreSQL . More ❯

Whisper, DeepSpeech, Tacotron, VITS, etc.). Familiarity with video synthesis and avatar animation (e.g., DeepMotion, NVIDIA Omniverse, D-ID, or similar). Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow). Experience with real-time systems, streaming protocols, and GPU acceleration. A creative mindset and passion for building human-centric AI. Desirables- Experience with LLMs and conversational AI frameworks More ❯

Whisper, DeepSpeech, Tacotron, VITS, etc.). Familiarity with video synthesis and avatar animation (e.g., DeepMotion, NVIDIA Omniverse, D-ID, or similar). Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow). Experience with real-time systems, streaming protocols, and GPU acceleration. A creative mindset and passion for building human-centric AI. Desirables- Experience with LLMs and conversational AI frameworks More ❯

hands-on experience with modelling intelligent agents, including symbolic, neural, or hybrid approaches.Experience deploying to and managing workloads on MCP or distributed processing environments.Familiarity with libraries such as TensorFlow, PyTorch, LangChain, or Ray is a plus.Ability to write clean, efficient, and well-documented code in a collaborative environment.Desirable:Experience with multi-agent coordination or LLM-based autonomous agents.Background in distributed More ❯