London, South East, England, United Kingdom Hybrid / WFH Options
MicroTECH Global Ltd
the loop for accuracy and trust. Responsibilities: Fine-tune and optimize foundation models (e.g., LLaMA, FinBERT) for financial text and transaction data. Build retrieval-augmented generation (RAG) pipelines with HuggingFace, Lang Chain, and vector databases. Implement human-in-the-loop systems to continuously validate, improve, and govern AI outputs. Deploy and monitor ML models in production with … translate real-world workflows into AI agents. Key Requirements: Strong experience in NLP/LLM training and fine-tuning (transformers, embeddings, LoRA/PEFT).Proficiency with PyTorch/TensorFlow, HuggingFace ecosystem, and MLOps tooling. Experience working with financial or structured transactional data. Knowledge of data privacy and regulatory requirements in fintech (SOC2, PCI-DSS, GDPR). Ability 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 … essential. Staying updated on the latest trends and research is important. Motivation Techniques - Being able to motivate and inspire learners to stay committed to their programme, even in the face of challenges. Self-awareness - Ability to understand your own biases, values, and beliefs, which can impact your coaching approach. Time Management - Effective time management skills are essential for structuring More ❯
platforms such as AWS, GCP, or Azure Understanding of API integration and deploying solutions in cloud environments Familiarity or hands-on exposure to generative AI ecosystems (e.g., OpenAI, Bedrock, HuggingFace) LLMs & Emerging Tech Awareness Awareness of large language models (LLMs) and a strong enthusiasm for staying current with advancements in generative AI and applied machine learning Communication More ❯
in implementing RAG systems, designing prompt engineering frameworks, and developing multi-agent systems. You should be proficient with both commercial and open-source technologies, including popular frameworks like LangChain, HuggingFace, and PyTorch, as well as vector databases and embedding models. Your comprehensive understanding of the AI/ML ecosystem, including leading vendors, emerging startups, and key open More ❯
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 ❯
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 ❯
City of London, London, United Kingdom Hybrid / WFH Options
Intellect Group
years of experience in machine learning, applied AI, or data science (personal projects and internships count!) Solid Python skills and familiarity with libraries like PyTorch, TensorFlow, or HuggingFace Transformers Understanding of basic ML concepts and data preprocessing techniques Interest in NLP, unstructured data, and information extraction Eagerness to learn, take feedback, and contribute to a collaborative team More ❯
years of experience in machine learning, applied AI, or data science (personal projects and internships count!) Solid Python skills and familiarity with libraries like PyTorch, TensorFlow, or HuggingFace Transformers Understanding of basic ML concepts and data preprocessing techniques Interest in NLP, unstructured data, and information extraction Eagerness to learn, take feedback, and contribute to a collaborative team More ❯
london, south east england, united kingdom Hybrid / WFH Options
Intellect Group
years of experience in machine learning, applied AI, or data science (personal projects and internships count!) Solid Python skills and familiarity with libraries like PyTorch, TensorFlow, or HuggingFace Transformers Understanding of basic ML concepts and data preprocessing techniques Interest in NLP, unstructured data, and information extraction Eagerness to learn, take feedback, and contribute to a collaborative team More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Intellect Group
years of experience in machine learning, applied AI, or data science (personal projects and internships count!) Solid Python skills and familiarity with libraries like PyTorch, TensorFlow, or HuggingFace Transformers Understanding of basic ML concepts and data preprocessing techniques Interest in NLP, unstructured data, and information extraction Eagerness to learn, take feedback, and contribute to a collaborative team More ❯
Science, Mathematics, Physics, AI) Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering Bonus: awareness of modern AI tooling (e.g., LLMs, HuggingFace) and an enthusiasm to apply this in real-world products Leadership & Soft Skills Strong communication and collaboration skills Experience mentoring junior team members Willingness to step into More ❯
Science, Mathematics, Physics, AI) Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering Bonus: awareness of modern AI tooling (e.g., LLMs, HuggingFace) and an enthusiasm to apply this in real-world products Leadership & Soft Skills Strong communication and collaboration skills Experience mentoring junior team members Willingness to step into More ❯
Science, Mathematics, Physics, AI) Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering Bonus: awareness of modern AI tooling (e.g., LLMs, HuggingFace) and an enthusiasm to apply this in real-world products Leadership & Soft Skills Strong communication and collaboration skills Experience mentoring junior team members Willingness to step into More ❯
london (city of london), south east england, united kingdom
Mentmore
Science, Mathematics, Physics, AI) Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering Bonus: awareness of modern AI tooling (e.g., LLMs, HuggingFace) and an enthusiasm to apply this in real-world products Leadership & Soft Skills Strong communication and collaboration skills Experience mentoring junior team members Willingness to step into More ❯
/RAG/Agentic systems Bonus Points: Experience with fine-tuning embedding models Published papers in NLP, representation learning, or related fields Familiarity with modern ML frameworks (PyTorch, TensorFlow, HuggingFace) Experience with vector databases and similarity search systems What You’ll Work On: Design and implement advanced semantic caching systems Develop and optimize embedding-based retrieval mechanisms More ❯
/RAG/Agentic systems Bonus Points: Experience with fine-tuning embedding models Published papers in NLP, representation learning, or related fields Familiarity with modern ML frameworks (PyTorch, TensorFlow, HuggingFace) Experience with vector databases and similarity search systems What You’ll Work On: Design and implement advanced semantic caching systems Develop and optimize embedding-based retrieval mechanisms More ❯
/RAG/Agentic systems Bonus Points: Experience with fine-tuning embedding models Published papers in NLP, representation learning, or related fields Familiarity with modern ML frameworks (PyTorch, TensorFlow, HuggingFace) Experience with vector databases and similarity search systems What You’ll Work On: Design and implement advanced semantic caching systems Develop and optimize embedding-based retrieval mechanisms More ❯
london (city of london), south east england, united kingdom
kadence
/RAG/Agentic systems Bonus Points: Experience with fine-tuning embedding models Published papers in NLP, representation learning, or related fields Familiarity with modern ML frameworks (PyTorch, TensorFlow, HuggingFace) Experience with vector databases and similarity search systems What You’ll Work On: Design and implement advanced semantic caching systems Develop and optimize embedding-based retrieval mechanisms More ❯
models in production (cloud-based environments preferred) Solid understanding of core machine learning concepts, algorithms, and evaluation metrics Practical knowledge of LLMs and NLP techniques; experience using frameworks like HuggingFace Transformers or OpenAI APIs Strong Python programming skills to write clean, modular code and experience with core data science libraries Familiarity with software development workflows, including Git More ❯
models in production (cloud-based environments preferred) Solid understanding of core machine learning concepts, algorithms, and evaluation metrics Practical knowledge of LLMs and NLP techniques; experience using frameworks like HuggingFace Transformers or OpenAI APIs Strong Python programming skills to write clean, modular code and experience with core data science libraries Familiarity with software development workflows, including Git 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 ❯
building and deploying LLM-powered applications in production , Deep experience applying large language models to complex, real-world problems , Strong proficiency in Python and ML frameworks (PyTorch, JAX, TensorFlow, HuggingFace Transformers) , Hands-on experience with advanced LLM techniques: RAG systems, chain-of-thought prompting, agentic tool use, and multi-agent coordination , Experience with distributed systems, cloud platforms More ❯
AI systems. Expertise in Agentic AI, LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs, and building multi-agent systems. Comfortable balancing strategic thinking with hands-on coding. The client is accepting candidates without More ❯
AI systems. Expertise in Agentic AI, LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs, and building multi-agent systems. Comfortable balancing strategic thinking with hands-on coding. The client is accepting candidates without More ❯
