london, south east england, United Kingdom Hybrid / WFH Options
MarkJames Search
/ML solutions. Responsibilities Collaborate across Data Science and DevOps to turn experimental ML models into deployed applications. Package and deploy ML models (including HuggingFace Transformers) as microservices on AWS. Build, train, and evaluate models using AWS tools like SageMaker, Bedrock, Glue, Athena, and Redshift. Develop secure … mindset. Enthusiastic about learning, adapting to new tools, and collaborating in a dynamic environment Tech Stack Languages & Frameworks: Python, R, SQL, Flask, FastAPI Tools: HuggingFace, Apigee, Jenkins, Git, RStudio, Jupyter Cloud: AWS (SageMaker, Glue, Athena, Redshift, Bedrock, ECS Fargate, Lambda) Please apply online for consideration. More ❯
Bristol, Gloucestershire, United Kingdom Hybrid / WFH Options
NLP PEOPLE
hands-on experience in either academia or industry. Proficiency in Python and experience with ML/NLP libraries like TensorFlow, PyTorch, scikit-learn, or Hugging Face. Experience working with cloud platforms such as AWS, GCP, or Azure. Familiarity with advanced NLP methods, including Prompt Engineering, Parameter-Efficient Fine-Tuning More ❯
in deploying and managing Generative AI models (e.g., GPT, Stable Diffusion, BERT). Proficient in Python and ML libraries such as TensorFlow, PyTorch, or Hugging Face. Skilled in cloud platforms (AWS, GCP, Azure) and managed AI/ML services. Hands-on experience with Docker, Kubernetes, and container orchestration. Expertise More ❯
MongoDB Experience on general programming languages: Python, C++, Java, etc. Experience with deep learning, machine learning and NLP frameworks such as PyTorch (or TensorFlow), HuggingFace Transformer, Scikit-learn Experience with working in Linux A strong intuition for what makes products a joy to use Empathy for how different users will More ❯
years in platform operations or service management Experience managing GenAI/ML platforms and LLM-based services (e.g., OpenAI, Anthropic, Azure OpenAI, HuggingFace) Proven in scaling MLOps or LLMOps practices in production Certifications in cloud platforms (Azure, AWS, GCP) and/or ITIL preferred Advanced AI/ More ❯
on platform operations or service management Hands-on experience with managing GenAI/ML platforms and LLM-based services (e.g., OpenAI, Anthropic, Azure OpenAI, HuggingFace) Proven track record in implementing and scaling MLOps or LLMOps practices in a production environment Certifications in cloud platforms (e.g., Azure, AWS More ❯
on platform operations or service management Hands-on experience with managing GenAI/ML platforms and LLM-based services (e.g., OpenAI, Anthropic, Azure OpenAI, HuggingFace) Proven track record in implementing and scaling MLOps or LLMOps practices in a production environment Certifications in cloud platforms (e.g., Azure, AWS More ❯
on platform operations or service management Hands-on experience with managing GenAI/ML platforms and LLM-based services (e.g., OpenAI, Anthropic, Azure OpenAI, HuggingFace) Proven track record in implementing and scaling MLOps or LLMOps practices in a production environment Certifications in cloud platforms (e.g., Azure, AWS More ❯
native Machine Learning platform Extensive experience with programming languages such as Python, Java, Scala etc. Solid experience with ML frameworks such as Pytorch and Huggingface The ability to work in a team, collaborate with others to solve interesting problems that directly affect our customers Demonstrated critical thinking and problem-solving More ❯
or ML Engineering roles Proven expertise deploying and scaling Generative AI models (GPT, Stable Diffusion, BERT) Proficiency with Python and ML frameworks (TensorFlow, PyTorch, HuggingFace) Strong cloud platform experience (AWS, GCP, Azure) and managed AI/ML services Practical experience with Docker, Kubernetes, and container orchestration Databricks More ❯
model applications. Proficiency in Python and SQL, with strong skills in data manipulation and analysis. Expertise in AI frameworks such as TensorFlow, PyTorch, and HuggingFace Transformers. Ability to effectively communicate complex AI concepts, especially to non-technical stakeholders. Preferred Qualifications Experience with graph databases and knowledge graphs. More ❯
manchester, north west england, United Kingdom Hybrid / WFH Options
55 Exec Search
with exposure to computational linguistics are highly desirable, either from a research academic or commercial perspective. Proficiency in Python and ML libraries such as HuggingFace, PyTorch, TensorFlow, and Scikit-learn. Experience deploying AI solutions into production environments using AWS/GCP/Azure. Hands-on with MLOps More ❯
manchester, north west england, United Kingdom Hybrid / WFH Options
55 Exec Search
with exposure to computational linguistics are highly desirable, either from a research academic or commercial perspective. Proficiency in Python and ML libraries such as HuggingFace, PyTorch, TensorFlow, and Scikit-learn. Experience deploying AI solutions into production environments using AWS/GCP/Azure. Hands-on with MLOps More ❯
performance and optimization: Fine-tuning and optimizing LLMs for quality, latency, sustainability, and cost. Programming and NLP tools: Advanced Python, frameworks like PyTorch, TensorFlow, HuggingFace, LangChain. MLOps and deployment: Docker, Kubernetes, Azure ML Studio, MLFlow. Cloud and AI infrastructure: Experience with Azure Cloud for scalable deployment. Databases More ❯
VectorDBs. Expert programming skills in languages such as Python, Java, or C++, and working knowledge of deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face. Understanding of generative models, such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer models (e.g., GPT, BERT for text). Experience More ❯
models eg. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc. Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud More ❯
ideas and concepts effectively. Ability to work independently and collaboratively. Preferred Skills: Experience building scalable applications with LLMs, using frameworks such as LangChain, LlamaIndex, HuggingFace, etc. Depth of knowledge with RAG implementation and improvements. More ❯
message queueing systems (Kafka, RabbitMQ), and version control systems (Git). Preferred Skills: Experience with natural language processing libraries such as NLTK, spaCy, or HuggingFace Transformers. Familiarity with time-series databases and analysis tools. Knowledge of AI model serving frameworks like TensorFlow Serving or ONNX Runtime. Experience More ❯
Azure Pipelines). Familiarity with containerization (Docker) Understanding of RESTful APIs and microservices architecture. Experience with AI/ML-related tools and libraries (e.g., HuggingFace, LangChain, PyTorch) preferred A strong intuition for what makes products a joy to use. Empathy for how different users will need different More ❯
Work experience with working in Linux and Microsoft Azure. Nice to Have Experience with deep learning, machine learning and NLP frameworks such as PyTorch, HuggingFace Transformer, Scikit-learn. Experience with multiple cloud platforms such as AWS, Google Cloud Platform, Oracle, NVIDIA, or on-prem environments. Perks and Benefits Salary dependent More ❯
years focused on platformoperations or service management Hands-onexperience with managing GenAI/ML platforms and LLM-based services(e.g., OpenAI, Anthropic, Azure OpenAI, HuggingFace) Proven track record in implementing andscaling MLOps or LLMOps practices in a productionenvironment Certifications in cloud platforms(e.g., Azure, AWS, GCP) and/or ITIL More ❯
years focused on platformoperations or service management Hands-onexperience with managing GenAI/ML platforms and LLM-based services(e.g., OpenAI, Anthropic, Azure OpenAI, HuggingFace) Proven track record in implementing andscaling MLOps or LLMOps practices in a productionenvironment Certifications in cloud platforms(e.g., Azure, AWS, GCP) and/or ITIL More ❯
years focused on platformoperations or service management Hands-onexperience with managing GenAI/ML platforms and LLM-based services(e.g., OpenAI, Anthropic, Azure OpenAI, HuggingFace) Proven track record in implementing andscaling MLOps or LLMOps practices in a productionenvironment Certifications in cloud platforms(e.g., Azure, AWS, GCP) and/or ITIL More ❯
