PostgreSQL & NoSQL Proprietary data sync library optimized for speed and offline support using WebSockets + delta packets Monitoring via PostHog (app), LangWatch (LLM) Vector DBs) & GraphDB's OpenAI/HuggingFace APIs. Office 365 add-ins (Word/Excel), Chrome/Edge browser extensions Who you are You've shipped production-grade full-stack applications (React/Next More ❯
PostgreSQL & NoSQL Proprietary data sync library optimized for speed and offline support using WebSockets + delta packets Monitoring via PostHog (app), LangWatch (LLM) Vector DBs) & GraphDB's OpenAI/HuggingFace APIs. Office 365 add-ins (Word/Excel), Chrome/Edge browser extensions Who you are You've shipped production-grade full-stack applications (React/Next More ❯
Cloud AI (AWS/Azure): Experience deploying AI solutions on cloud platforms. Python: Proficient in writing clean, production-quality code. AI Model Management: Familiarity with platforms such as MLFlow, HuggingFace, or LangChain. Data Processing: Experience with Databricks/Spark. SQL: Solid querying and data preparation skills. Data Architectures: Understanding of modern data systems (lakehouses, data lakes). More ❯
Glasgow, Scotland, United Kingdom Hybrid / WFH Options
JR United Kingdom
Cloud AI (AWS/Azure): Experience deploying AI solutions on cloud platforms. Python: Proficient in writing clean, production-quality code. AI Model Management: Familiarity with platforms such as MLFlow, HuggingFace, or LangChain. Data Processing: Experience with Databricks/Spark. SQL: Solid querying and data preparation skills. Data Architectures: Understanding of modern data systems (lakehouses, data lakes). More ❯
an interest in developing these skills in post: Familiarity with tools for working with Large Language Models via API (e.g. OpenAI, LangChain, LlamaIndex), or in a local context (e.g. HuggingFace transformers). Experience with natural language processing, deep learning and generative AI including prompt engineering. Experience supporting and enabling technical teams via upskilling, mentoring and conflict resolution. Experience designing CI … assessing your experience and behaviours that are relevant to this role. Expected sift date – TBC Expected interview date/s – TBC Interview location -Your interview will either be conducted face to face or by video. You will be notified of the location if you are selected for interview. Near miss offers may be made at a lower grade More ❯
an interest in developing these skills in post: Familiarity with tools for working with Large Language Models via API (e.g. OpenAI, LangChain, LlamaIndex), or in a local context (e.g. HuggingFace transformers). Experience with natural language processing, deep learning and generative AI including prompt engineering. Experience supporting and enabling technical teams via upskilling, mentoring and conflict resolution. Experience designing CI … assessing your experience and behaviours that are relevant to this role. Expected sift date – TBC Expected interview date/s – TBC Interview location -Your interview will either be conducted face to face or by video. You will be notified of the location if you are selected for interview. Near miss offers may be made at a lower grade More ❯
an interest in developing these skills in post: Familiarity with tools for working with Large Language Models via API (e.g. OpenAI, LangChain, LlamaIndex), or in a local context (e.g. HuggingFace transformers). Experience with natural language processing, deep learning and generative AI including prompt engineering. Experience supporting and enabling technical teams via upskilling, mentoring and conflict resolution. Experience designing CI … assessing your experience and behaviours that are relevant to this role. Expected sift date – TBC Expected interview date/s – TBC Interview location -Your interview will either be conducted face to face or by video. You will be notified of the location if you are selected for interview. Near miss offers may be made at a lower grade More ❯
ML components. Experience deploying ML models and LLMs in cloud and local environments. Strong programming skills in Python including its ecosystem for AI/ML, including libraries like PyTorch, HuggingFace Transformers, scikit-learn and Tensorflow. Extensive hands-on experience with cloud-based architectures and distributed systems, building scalable, reliable, and secure solutions. Demonstrated ability to self-manage More ❯
AI. Able to contextualise these techniques in industry settings, such as financial forecasting, operations optimisation, or customer segmentation. Comfortable with key ML frameworks (such as Scikit-learn, TensorFlow, PyTorch, HuggingFace ) and data manipulation tools ( Pandas, NumPy ), as well as version control, containerisation, and ML deployment pipelines. Understands how to apply MLOps principles in production environments To be More ❯
or academic experience with version control systems such as Gitlab. • Demonstrated experience leveraging CUDA for GPU accelerated computing. Skills and abilities desired: • Demonstrated professional or academic experience with the HuggingFace Transformers library and hub. • Demonstrated experience with OpenShift and container orchestration within Kubernetes using Helm, Kubectl, Kustomize, or Operators. • Demonstrated experience with Vision Transformers (ViT) such as DINO or DeiT. More ❯
in AI/ML, software engineering, or backend development roles. Familiar with Python and relevant libraries for AI experimentation or prototyping. Comfortable using LLM APIs or tooling (e.g., OpenAI, HuggingFace, LangChain). Basic understanding of embeddings, vector search, or prompt engineering. Familiar with version control systems (Git). Strong collaboration and communication skills in a cross-functional team environment. Preferred More ❯
implement evaluation pipelines to assess and optimize model performance Prototype and productionize agentic workflows that leverage tool usage and chaining Experiment with, tune, and benchmark different LLMs (e.g., OpenAI, HuggingFace, LangChain) Automate model evaluation and integrate insights into the dev lifecycle Support semantic search, data extraction, and document analysis use cases Collaborate with legal engineers and product to build secure More ❯
Spark (Databricks); Experience in working with Airflow (or there's ETL orchestration tools) and DBT; Familiarity with Java or other JVM languages is a plus. Tools and technologies MLFlow, HuggingFace, vLLM, Celery, Databricks, Airflow, dbt, Microsoft Azure, Airbyte, k8s, terraform and a lot of custom self-developed tools. Some of our key Benefits Personal and career development: we support employee More ❯
London, England, United Kingdom Hybrid / WFH Options
Snyk Ltd
Define best practices in the emerging field of LLM Security, whilst building a cutting edge product from the ground up. Leveraging deep expertise in the LLM ecosystem (MCP, Ollama, HuggingFace, etc), prompt engineering, and security. Design and implement backend solutions utilizing vector databases and cloud infrastructure (AWS/GCP/Azure). Leading backend development efforts, ensuring scalability, reliability, and More ❯
London, England, United Kingdom Hybrid / WFH Options
Birdie
machine learning models using AWS SageMaker/Vertex AI. Experience with ML frameworks such as PyTorch or TensorFlow. Experience with cloud based API's such as OpenAI APIs or Hugging Face. Excellent communication skills and the ability to articulate complex concepts. A strong commitment to ethical AI practices and a passion for making a positive impact. Join Our Mission More ❯
At Appwrite we're looking for a AI Engineer to join our team. About the job We're looking for a passionate and curious AI Engineer to join our team and help us explore, prototype, and implement AI-driven features More ❯
organization. REQUIREMENTS: 4+ years in data science, with a strong preference for experience in the insurance or financial services sector. Experience working with LLMs and NLP frameworks such as HuggingFace or OpenAI is a strong advantage. Proven experience managing and mentoring a team of data professionals, with a commitment to fostering a collaborative environment. If this role More ❯
organization. REQUIREMENTS: 4+ years in data science, with a strong preference for experience in the insurance or financial services sector. Experience working with LLMs and NLP frameworks such as HuggingFace or OpenAI is a strong advantage. Proven experience managing and mentoring a team of data professionals, with a commitment to fostering a collaborative environment. If this role More ❯
organization. REQUIREMENTS: 4+ years in data science, with a strong preference for experience in the insurance or financial services sector. Experience working with LLMs and NLP frameworks such as HuggingFace or OpenAI is a strong advantage. Proven experience managing and mentoring a team of data professionals, with a commitment to fostering a collaborative environment. If this role More ❯
to clients and internal teams. Technical Skills: Proficiency with open-source tools and technologies. Languages & Libraries: Python, R, Pandas, NumPy, scikit-learn, XGBoost, LightGBM, statsmodels. NLP & ML Frameworks: spaCy, HuggingFace Transformers, TensorFlow or PyTorch (as applicable). Visualization tools: Plotly, Seaborn, Matplotlib, Dash, Streamlit. Preferred Qualifications: Fluency in French or German is a strong advantage for future More ❯
of experienced engineers and founding team What you bring: 1-2 years experience in AI/ML or applied data science Strong Python skills and experience with PyTorch, TensorFlow, HuggingFace A brain wired for learning. You move fast and ask smart questions Fluent in Dutch Already based in the Netherlands (no visa sponsorship) Why join DataPebbles? Real More ❯
e.g., Triton, TensorRT, TorchServe). Experience with GPU scaling for large-scale machine learning models. Expertise in deploying complex machine learning pipelines in production environments. Proficiency with PyTorch and HuggingFace transformers. Experience with neural audio codecs (e.g., Encodec). Background in Text-to-Speech (TTS) development. Experience with advanced techniques such as Residual Vector Quantization (RVQ), Generative More ❯
hands-on experience with generative vision models (e.g. Stable Diffusion, GANs, LoRA, DreamBooth, or video diffusion models). Proficient in Python, with practical experience using libraries such as PyTorch, HuggingFace Diffusers, Pillow, OpenCV Solid software engineering practices-modular code, testing, version control (e.g. Git), and collaborative development workflows. Experience working in cloud-based environments such as AWS More ❯
e.g., Triton, TensorRT, TorchServe). Experience with GPU scaling for large-scale machine learning models. Expertise in deploying complex machine learning pipelines in production environments. Proficiency with PyTorch and HuggingFace transformers. Experience with neural audio codecs (e.g., Encodec). Background in Text-to-Speech (TTS) development. Experience with advanced techniques such as Residual Vector Quantization (RVQ), Generative More ❯
Ideal Profile 5+ years in AI/ML roles with a strong record of ownership and delivery. Hands-on experience with LLM development or fine-tuning , including frameworks like HuggingFace, LangChain, or custom pipelines. Deep technical understanding of biometric security systems and privacy-aware architecture. Strong Python/ML stack (e.g., PyTorch, TensorFlow, Scikit-learn). Experience More ❯
