Exposure to tools like KServe, Ray Serve, Triton, or vLLM a big plus Bonus Points: Experience with observability frameworks like Prometheus or OpenTelemetry Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace Exposure to Azure or GCP Passion for financial services Requirements: Degree in Computer Science, Engineering, Data Science or similar What We Offer A collaborative and innovative work environment with awesome More ❯
facing communication across scientific and engineering audiences. Experience in pharma, biotech, medtech, or healthcare environments (ideal). MSc in Computer Science or equivalent experience. Bonus Familiarity with PyTorch, JAX, HuggingFace, and AWS ML services. Experience optimizing models for low-latency inference. Open-source contributions and/or startup experience. Why This Is Unique Globally competitive salary + More ❯
facing communication across scientific and engineering audiences. Experience in pharma, biotech, medtech, or healthcare environments (ideal). MSc in Computer Science or equivalent experience. Bonus Familiarity with PyTorch, JAX, HuggingFace, and AWS ML services. Experience optimizing models for low-latency inference. Open-source contributions and/or startup experience. Why This Is Unique Globally competitive salary + More ❯
Proven experience designing and deploying Gen AI systems using LLMs, transformers, and neural networks Expert-level Python; strong in R, Java, or C++ Hands-on with TensorFlow, PyTorch, Keras, HuggingFace, LangChain Cloud-native mindset: AWS, Azure, GCP + Docker, Kubernetes, CI/CD Deep understanding of ML/DL algorithms, model evaluation, and data engineering Strong communicator More ❯
london, south east england, united kingdom Hybrid/Remote Options
Ignite Digital
an agile team worked with Amazon Web Services, Microsoft Azure, or Google Cloud Platform a working knowledge of Git and version control principles knowledge of popular deep learning frameworks - HuggingFace Transformers library, for example. experience of building LLM applications experience of working with legal or other business professionals confidence when speaking, able to share your knowledge and More ❯
databases, embeddings, retrieval optimisation) Academic Excellence: BSc or MSc in Computer Science, AI, Data Science, or related technical field from a top university Familiarity with frameworks such as PyTorch, HuggingFace, LangChain, or LlamaIndex Passionate about sports, health, or fitness – you’ll feel right at home here Bonus points if you: Have worked with unstructured data (text, documents More ❯
databases, embeddings, retrieval optimisation) Academic Excellence: BSc or MSc in Computer Science, AI, Data Science, or related technical field from a top university Familiarity with frameworks such as PyTorch, HuggingFace, LangChain, or LlamaIndex Passionate about sports, health, or fitness – you’ll feel right at home here Bonus points if you: Have worked with unstructured data (text, documents More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Luxoft
Description: Strong programming skills in Python (preferred), with experience in Java or Node.js. Hands-on experience with LLMs (e.g., GPT, LLaMA, Claude, Mistral), Transformers, and Diffusion models. Experience with HuggingFace Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ More ❯
Description: Strong programming skills in Python (preferred), with experience in Java or Node.js. Hands-on experience with LLMs (e.g., GPT, LLaMA, Claude, Mistral), Transformers, and Diffusion models. Experience with HuggingFace Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ More ❯
Edinburgh, Scotland, United Kingdom Hybrid/Remote Options
Luxoft
Description: Strong programming skills in Python (preferred), with experience in Java or Node.js. Hands-on experience with LLMs (e.g., GPT, LLaMA, Claude, Mistral), Transformers, and Diffusion models. Experience with HuggingFace Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ More ❯
entire stack, but an eagerness to learn and the ability to leverage AI tooling to get bootstrapped quickly is a must. Core AI & Machine Learning Python Vertex AI/HuggingFace LangChain/BAML — LLM frameworks Langfuse, LangSmith — Observability Pandas, NumPy, scikit-learn, PyTorch — Data & ML stack Data & Infrastructure BigQuery — Cloud data warehouse PostgreSQL — Application data Pulumi — Infrastructure More ❯
contribute to the development of innovative solutions. Your Profile Essential skills/knowledge/experience: Proficiency in Python and extensive experience with AI/ML/NLP libraries (e.g., HuggingFace Transformers, spaCy, NLTK). Experience with state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude), including prompt engineering, fine-tuning, and evaluation. Hands-on More ❯
contribute to the development of innovative solutions. Your Profile Essential skills/knowledge/experience: Proficiency in Python and extensive experience with AI/ML/NLP libraries (e.g., HuggingFace Transformers, spaCy, NLTK). Experience with state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude), including prompt engineering, fine-tuning, and evaluation. Hands-on More ❯
Perplexity. Strong understanding of generative AI principles, prompt chaining, context window management, and token efficiency. Proficiency in Python and experience with AI/ML frameworks like TensorFlow, PyTorch, or Hugging Face. Experience integrating AI into enterprise platforms such as DealCloud, Salesforce, or similar CRMs. Understanding of workflow automation tools (e.g., Zapier, n8n, Make) and dashboarding platforms (e.g., Power BI More ❯
CI/CD pipelines, automated testing, and monitoring, applying MLOps practices such as versioning, retraining, and drift detection (tools: MLflow, Azure ML, Databricks) Leverage both open-source frameworks (LangChain, HuggingFace, etc.) and enterprise platforms (Azure OpenAI, Databricks, etc.) to deliver production ready, scalable AI solutions Implement generative AI and advanced analytics features, including embeddings, retrieval-augmented generation More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Intellect Group
s desirable) 3–5 years’ hands-on experience delivering AI or ML solutions in production environments Proven expertise with Generative AI + Agentic AI , including frameworks such as LangChain, HuggingFace, or equivalent Strong Python engineering skills, with experience building, testing, and deploying high-quality models and pipelines Familiarity with Snowflake and Databricks , as part of modern cloud More ❯
s desirable) 3–5 years’ hands-on experience delivering AI or ML solutions in production environments Proven expertise with Generative AI + Agentic AI , including frameworks such as LangChain, HuggingFace, or equivalent Strong Python engineering skills, with experience building, testing, and deploying high-quality models and pipelines Familiarity with Snowflake and Databricks , as part of modern cloud More ❯
the broader ML/NLP community Technical Skills: Degree in Computer Science, Engineering, Bioinformatics, or related field (BSc, MSc, PhD) Experience with ML/NLP frameworks (e.g., PyTorch, TensorFlow, HuggingFace, Scikit-learn) Strong Python skills and familiarity with additional languages (e.g., Java, C++) Understanding of biomedical ontologies, knowledge graphs, or causal inference is a plus Familiarity with cloud platforms (AWS More ❯
the broader ML/NLP community Technical Skills: Degree in Computer Science, Engineering, Bioinformatics, or related field (BSc, MSc, PhD) Experience with ML/NLP frameworks (e.g., PyTorch, TensorFlow, HuggingFace, Scikit-learn) Strong Python skills and familiarity with additional languages (e.g., Java, C++) Understanding of biomedical ontologies, knowledge graphs, or causal inference is a plus Familiarity with cloud platforms (AWS More ❯
Stay ahead of developments in GenAI (e.g. LLMs, multimodal models), ML frameworks (e.g. PyTorch, TensorFlow, Scikit-learn), orchestration tools (e.g. LangChain, LangFuse) and stay connected with AI community e.g. Hugging Face. Engineering Excellence: Apply SOLID principles, design patterns, and dependency injection to AI systems, ensuring maintainability and robustness. Data & Model Governance: Ensure responsible AI practices, including model explainability, fairness More ❯
broader data or product architectures Stay current with emerging AI frameworks, libraries, and model optimisation techniques What We’re Looking For Strong Python and ML ecosystem experience (PyTorch, TensorFlow, HuggingFace, LangChain, etc.) Proven delivery of AI/ML solutions in production environments Experience with cloud platforms (Azure, AWS, or GCP) and MLOps tooling (MLflow, Vertex AI, etc. More ❯
tune those models - e.g., XGBoost, Deep Neural Networks, Transformers, ResNets, VAEs, GANs, 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 technologies - e.g., AWS, GCP or More ❯
deployments. What We’re Looking For: Essential: Experience with LLMs (GPT, BERT) and NLP tasks. Fine-tuning pre-trained models for domain-specific applications. Strong Python skills (OOP, PyTorch, HuggingFace, scikit-learn, Pandas, NumPy). Deploying models with Docker, Kubernetes, or serverless platforms. Familiarity with CI/CD, MLOps, and cloud platforms (AWS preferred). Desirable: Named More ❯
deployments. What We’re Looking For: Essential: Experience with LLMs (GPT, BERT) and NLP tasks. Fine-tuning pre-trained models for domain-specific applications. Strong Python skills (OOP, PyTorch, HuggingFace, scikit-learn, Pandas, NumPy). Deploying models with Docker, Kubernetes, or serverless platforms. Familiarity with CI/CD, MLOps, and cloud platforms (AWS preferred). Desirable: Named More ❯
familiarity with ML/DL libraries (TensorFlow, PyTorch, scikit-learn, Pandas). Practical experience with RAG or agentic AI frameworks (LangChain, LlamaIndex). Experience working with LLM APIs (e.g. HuggingFace, OpenAI). Exposure to conversational AI platforms (Dialogflow, Lex, Rasa, etc.). Ability to work collaboratively in fast-paced, agile, and multidisciplinary environments. Excellent communication skills and More ❯
