how to fine-tune those 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 technologies eg. AWS, GCP or More ❯
s degree in AI and/or Computer Science; Hands-on experience integrating LLM APIs (e.g. OpenAI, HuggingFace Inference); Practical experience fine-tuning LLMs via OpenAI, HuggingFace or similar APIs; Strong proficiency in Python; Deep expertise in prompt engineering and tooling like LangChain or LlamaIndex; Proficiency with vector databases (Pinecone, FAISS, Weaviate) and document embedding pipelines; Proven More ❯
or related technical field 2+ years of experience in AI/ML development with a focus on practical applications Strong proficiency in Python and relevant AI libraries (TensorFlow, PyTorch, HuggingFace) Hands-on experience with workflow automation platforms like N8N, AirTable, and proven track-record. Experience with AI agent development and testing methodologies using Google ADK, LangGraph, Llamaindex More ❯
tune those models eg. XGBoost, Deep Neural Networks, Transformers, ResNets, VAEs, GANs, Markov chains, etc. Experience using specialized machine learning libraries eg. 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 eg. AWS, GCP or More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Opus Recruitment Solutions Ltd
ML workflows with platforms such as Benchling , PubMed APIs , and internal R&D systems Supporting model validation, performance benchmarking, and regulatory documentation Key Technologies & Tools: ML Frameworks: PyTorch, TensorFlow, HuggingFace Transformers Bio-AI Tools: AlphaFold, RoseTTAFold, BioBERT, DeepCell, Cellpose Data Sources: Genomic datasets, microscopy images, biomedical literature Cloud & DevOps: AWS/GCP, Docker, Kubernetes, MLflow Languages: Python More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Robert Half
commercial experience delivering AI/ML projects end-to-end in production environments Strong Python skills with hands-on use of ML libraries like Scikit-learn, TensorFlow, PyTorch, or HuggingFace Solid understanding of machine learning fundamentals and performance evaluation techniques Experience working in cloud platforms (AWS, GCP, or Azure) with MLOps tools (e.g. MLflow, SageMaker, Vertex AI More ❯
Practical knowledge of AI/ML technologies and their applications, including understanding language models (LLMs), and experience with training and fine-tuning LLMs using frameworks like TensorFlow, PyTorch, or HuggingFace Transformers. Good understanding of programming/scripting: (e.g., Python, Go) for customizing solutions, creating scripts, or automating tasks. Experience with AI relevant infrastructure, including Networking (InfiniBand and More ❯
Sheffield, Yorkshire, United Kingdom Hybrid / WFH Options
Delta Capita
with a focus on machine learning, deep learning, natural language processing, generative AI, image processing and OCR all additional positives. Experience with some of the following frameworks - TensorFlow, Pytorch, Huggingface, Spacy, OpenCV, Regex or equivalents. Experience delivering safe code to production, focusing on cybersecurity and resilience of the application and APIs. Preferred Experience: Experience using PostgreSQL for More ❯
pipelines (GitLab), and containerization (Docker). Strong Python programming skills: Strong programming skills in Python, including its ecosystem for AI/ML, with experience using libraries such as PyTorch, HuggingFace Transformers, scikit-learn, and TensorFlow to build and implement AI-driven solutions. Product mindset: Ability to think from the user's perspective and design solutions that align More ❯
pipelines (GitLab), and containerization (Docker). Strong Python programming skills: Strong programming skills in Python, including its ecosystem for AI/ML, with experience using libraries such as PyTorch, HuggingFace Transformers, scikit-learn, and TensorFlow to build and implement AI-driven solutions. Product mindset: Ability to think from the user's perspective and design solutions that align More ❯
Practical knowledge of AI/ML technologies and their applications, including understanding language models (LLMs), and experience with training and fine-tuning LLMs using frameworks like TensorFlow, PyTorch, or HuggingFace Transformers. Good understanding of programming/scripting: (e.g., Python, Go) for customizing solutions, creating scripts, or automating tasks. Experience with AI relevant infrastructure, including Networking (InfiniBand and More ❯
real-world problems into working software. 🛠️ What You Bring: Fluency in Python and strong grasp of ML/DL concepts. Experience with frameworks like PyTorch, TensorFlow, Scikit-learn, and HuggingFace Transformers. Comfort designing production-ready AI systems—optimising for speed, cost, and value. Passion for leveraging AI assistants and agentic tools to maximise impact. Bonus points if you’ve played More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Omnis Partners
real-world problems into working software. 🛠️ What You Bring: Fluency in Python and strong grasp of ML/DL concepts. Experience with frameworks like PyTorch, TensorFlow, Scikit-learn, and HuggingFace Transformers. Comfort designing production-ready AI systems—optimising for speed, cost, and value. Passion for leveraging AI assistants and agentic tools to maximise impact. Bonus points if you’ve played More ❯
to Have: Experience with vector databases (e.g., FAISS, Weaviate, pgvector) Knowledge of survey data structures or market research workflows Familiarity with statistics (e.g., weighting, significance testing) Experience with Docker, HuggingFace Transformers, or cloud-based deployment Awareness of data privacy standards in a European context If you're excited to apply state-of-the-art AI to unlock More ❯
pipelines (GitLab), and containerization (Docker). Strong Python programming skills: Strong programming skills in Python, including its ecosystem for AI/ML, with experience using libraries such as PyTorch, HuggingFace Transformers, scikit-learn, and TensorFlow to build and implement AI-driven solutions. Product mindset: Ability to think from the user's perspective and design solutions that align More ❯
conferences; Experience with one lower level language (not limited to, but such as C++, Rust); Experience with large scale data processing and database tools such as MapReduce, Dask, SQL, HuggingFace Datasets, TileDB, Ray. The salary range for Cambridge, UK: - Senior Machine Learning Engineer: £90,950 - £123,050 Staff Machine Learning Engineer: £113,900 - £154,100 Exact compensation More ❯
low-latency, high-throughput data pipelines and APIs using Go, Python, or similar. Hands-on NLP experience with both pre-built services (e.g., AWS Comprehend) and custom transformer models (HuggingFace, PyTorch, TensorFlow) with a strong grounding in evaluating NLP models using classification and ranking metrics, and experience running A/B or offline benchmarks. Proficient with MLOps 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 ❯
training frameworks, libraries and tools. Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability. Strong expertise in PyTorch and HuggingFace libraries with practical experience in model development, continual pretraining, and deployment. More ❯
for transformer architectures as well as alternative approaches. Your expertise should emphasize techniques that enhance model intelligence, efficiency, and scalability within fine-tuning workflows. Strong expertise in PyTorch and HuggingFace libraries with practical experience in developing fine-tuning pipelines, continuously adapting models to new data, and deploying these refined models in production on target platforms. Demonstrated ability More ❯
solution design. Proven experience designing AI solutions for banks, asset managers, insurers, or fintechs. Expertise across a wide spectrum of GenAI technologies (e.g., OpenAI, Google Gemini, Anthropic, Meta Llama, HuggingFace). Familiarity with financial data sources (e.g., market data, transactional data, credit reports) and core systems (e.g., core banking, CRMs, compliance systems). Strong communication skills with More ❯
solution design. Proven experience designing AI solutions for banks, asset managers, insurers, or fintechs. Expertise across a wide spectrum of GenAI technologies (e.g., OpenAI, Google Gemini, Anthropic, Meta Llama, HuggingFace). Familiarity with financial data sources (e.g., market data, transactional data, credit reports) and core systems (e.g., core banking, CRMs, compliance systems). Strong communication skills with More ❯
