be applying some of the SOTA research in AI to develop applications. As such we would expect you to have: Effective communication skills Background in foundational Computer Vision/NLP Strong Software Engineering skills (3 years+) Developed LLM architecture and deployed LLM applications Uptodate with current trends in AI Some experience with applying latest techniques like RAG architecture, GenAI, Parallel More ❯
responsible AI practices to ensure fairness, transparency, and user trust. What You’ll Bring Strong hands-on experience in testing and evaluation of AI or software systems, ideally with NLP or LLM-based applications. Understanding of prompt evaluation, semantic search, and LLM behaviour (accuracy, hallucination, bias, tone, etc.). Familiarity with tools like Trulens, HumanLoop, PromptLayer, or similar; experience designing More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Lorien
responsible AI practices to ensure fairness, transparency, and user trust. What You’ll Bring Strong hands-on experience in testing and evaluation of AI or software systems, ideally with NLP or LLM-based applications. Understanding of prompt evaluation, semantic search, and LLM behaviour (accuracy, hallucination, bias, tone, etc.). Familiarity with tools like Trulens, HumanLoop, PromptLayer, or similar; experience designing More ❯
London, South East, England, United Kingdom Hybrid/Remote Options
Lorien
responsible AI practices to ensure fairness, transparency, and user trust. What You'll Bring Strong hands-on experience in testing and evaluation of AI or software systems, ideally with NLP or LLM-based applications. Understanding of prompt evaluation, semantic search, and LLM behaviour (accuracy, hallucination, bias, tone, etc.). Familiarity with tools like Trulens, HumanLoop, PromptLayer, or similar; experience designing More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Lorien
on GenAI-Powered Digital Assistant programme. What you’ll do Collaborate with cross-functional teams to develop and enhance our GenAI-Powered smart digital assistant. Leverage your expertise in NLP and transformer architectures to create intelligent conversational agents. Dive into the world of traditional NLP techniques and stay ahead of the curve. Apply a strong understanding of fundamental concepts-statistics … create compelling visualisations that bring data to life. Contribute to the development of a fantastic visualisation layer for analytics, making complex insights accessible and actionable. Key Skills and Experience NLP Mastery Proficiency in LLMs and transformer architecture. Deep understanding of traditional NLP techniques. Data & Visualisation Solid grasp of data visualisation tools (Tableau, Power BI, Cognos, etc.) Proficiency in Python visualisation … models. Predictive modelling techniques for regression and classification. Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large language models. Experience in deploying models on cloud platforms (e.g. AWS, Sage maker, Google AI Platform, IBM Watson) IND_PC3 More ❯
on GenAI-Powered Digital Assistant programme. What you’ll do Collaborate with cross-functional teams to develop and enhance our GenAI-Powered smart digital assistant. Leverage your expertise in NLP and transformer architectures to create intelligent conversational agents. Dive into the world of traditional NLP techniques and stay ahead of the curve. Apply a strong understanding of fundamental concepts-statistics … create compelling visualisations that bring data to life. Contribute to the development of a fantastic visualisation layer for analytics, making complex insights accessible and actionable. Key Skills and Experience NLP Mastery Proficiency in LLMs and transformer architecture. Deep understanding of traditional NLP techniques. Data & Visualisation Solid grasp of data visualisation tools (Tableau, Power BI, Cognos, etc.) Proficiency in Python visualisation … models. Predictive modelling techniques for regression and classification. Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large language models. Experience in deploying models on cloud platforms (e.g. AWS, Sage maker, Google AI Platform, IBM Watson) IND_PC3 More ❯
academic foundation which has progressed into applied AI where you will be working with a plethora of technologies/projects including; RAG, LLM, MLOps MLFlow, Vertex AI and HuggingFace NLP with LangChain Python Agentic AI This is a client facing role where you will act as a consultant on AI transformation for the end client. This will be mostly remote More ❯
algorithms, data modelling and software architecture Strong knowledge of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP, Transfer Learning etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) Machine Learning Engineer, timeseries, forecasting, VertexAI, GCP Reasonable Adjustments: Respect and equality are core values to us. We More ❯
Project Manager, you need to be able to understand the product and client requirements so as to bridge the communication between the clients and the technical team. Knowledge in NLP, AI and biomedicine will help you understand the product and client requirement better. Key technical responsibilities: Understand the clients in life sciences (such as biopharmaceutical companies and healthcare providers) they More ❯
with the ability to build simulations and prototype data products. Experience validating quantitative findings with qualitative methods (e.g., surveys, user research). Demonstrated experience with applied AI, such as NLP, Large Language Models (LLMs), or Agentic AI for analytics. Experience working within a two-sided marketplace, e-commerce, or the travel technology industry. Perks of Working at Viator Competitive More ❯
ML Team Representing our technology to customers, partners & investors and across the company Play a key role in our senior leadership team Experience required: In depth AI/ML & NLP architectural background Experience in leading and growing ML/Data teams A “product focused” approach with a background in data-heavy SaaS and/or B2B Enterprise platforms A collaborative More ❯
on role for someone who thrives in ambiguity, enjoys building from first principles, and wants to see their work directly impact healthcare outcomes. Responsibilities Develop and deploy ML/NLP algorithms that extract structured insights from biomedical literature and clinical data Build scalable data pipelines and APIs for knowledge graph construction and semantic search Collaborate with domain experts to align … model performance and validate against real-world benchmarks Contribute to internal tooling and infrastructure to support experimentation and deployment Publish original research and contribute to 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 … C++) Understanding of biomedical ontologies, knowledge graphs, or causal inference is a plus Familiarity with cloud platforms (AWS, Azure, GCP) and Linux environments Bonus Experience: Prior work in biomedical NLP, literature mining, or clinical informatics More ❯
on role for someone who thrives in ambiguity, enjoys building from first principles, and wants to see their work directly impact healthcare outcomes. Responsibilities Develop and deploy ML/NLP algorithms that extract structured insights from biomedical literature and clinical data Build scalable data pipelines and APIs for knowledge graph construction and semantic search Collaborate with domain experts to align … model performance and validate against real-world benchmarks Contribute to internal tooling and infrastructure to support experimentation and deployment Publish original research and contribute to 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 … C++) Understanding of biomedical ontologies, knowledge graphs, or causal inference is a plus Familiarity with cloud platforms (AWS, Azure, GCP) and Linux environments Bonus Experience: Prior work in biomedical NLP, literature mining, or clinical informatics More ❯
. Proven experience designing and building scalable data workflows or data-driven products , including architecting pipelines, modular components, and reusable frameworks. Experience applying large language models or advanced NLP techniques (e.g. embeddings, semantic parsing, topic modelling, text classification); familiarity with processing non-english languages is a plus. Comfortable working with large, messy, and unstructured datasets, particularly text and More ❯
. Proven experience designing and building scalable data workflows or data-driven products , including architecting pipelines, modular components, and reusable frameworks. Experience applying large language models or advanced NLP techniques (e.g. embeddings, semantic parsing, topic modelling, text classification); familiarity with processing non-english languages is a plus. Comfortable working with large, messy, and unstructured datasets, particularly text and More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Opus Recruitment Solutions
for production-scale deployments. Excellent communication skills to engage stakeholders and simplify complex concepts. Desirable Extras Experience with regulatory frameworks (e.g., Basel, GDPR) and model explainability tools. Knowledge of NLP for document processing or conversational banking applications. Advanced academic background (MSc or PhD in a quantitative discipline). Why This Role? Shape the future of digital banking through AI More ❯
for production-scale deployments. Excellent communication skills to engage stakeholders and simplify complex concepts. Desirable Extras Experience with regulatory frameworks (e.g., Basel, GDPR) and model explainability tools. Knowledge of NLP for document processing or conversational banking applications. Advanced academic background (MSc or PhD in a quantitative discipline). Why This Role? Shape the future of digital banking through AI More ❯
documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and … equivalent work experience as a professional ML engineer or data scientist. Strong skills in Python, with experience in backend development and unit testing. Knowledge of generative AI, specifically Large Language Models. Knowledge of agile practices and able to perform in agile software development environments. Strong knowledge of modern software development tools/ways of working (e.g. git/GitHub … e.g. defining guardrails, red teaming or persona-based evaluations. Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen), Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products. Research experience More ❯
Machine Learning Lead - Agentic AI, NLP & Generative AI Central London (Hybrid - 3 days/week in office) Up to £120,000 Shares + Benefits A fast-growing Data & AI Product-based company at the forefront of cutting-edge AI solutions are looking for an ML Lead to join the team and spearhead a number of ambitious products, shaping the architecture More ❯
fast-paced technology, product, or R&D environment. Demonstrable track record of successfully sourcing and hiring for AI/ML roles (e.g., Machine Learning Engineer, Data Scientist, AI Researcher, NLP Engineer, Computer Vision Engineer). Passion for technology and a strong understanding of the AI/ML domain, including key skills, tools, and industry trends. Exceptional customer service focus with More ❯
fast-paced technology, product, or R&D environment. Demonstrable track record of successfully sourcing and hiring for AI/ML roles (e.g., Machine Learning Engineer, Data Scientist, AI Researcher, NLP Engineer, Computer Vision Engineer). Passion for technology and a strong understanding of the AI/ML domain, including key skills, tools, and industry trends. Exceptional customer service focus with More ❯
experience with deep exposure to AI/Machine Learning domains. Successful track record placing engineers and researchers at elite organisations. Deep understanding of AI subfields including computer vision, robotics, NLP, and applied ML. Strong technical fluency. You can go beyond buzzwords and calibrate for real-world ability. Highly autonomous, detail-oriented, and commercially sharp. Passionate about using AI for real More ❯
entire organization has the right tools and infrastructure for data collection, transformation, storage, and processing. Lead enterprise-wide programs in data deduplication, consolidation, and advanced analytics (e.g., machine learning, NLP).3. Data Quality and Stewardship Monitor and improve data accuracy, completeness, and reliability. Promote data stewardship across departments to ensure accountability.4. Analytics and Insights Enable advanced analytics, AI, and machine More ❯
Experience delivering AI/ML solutions Strong skills with Microsoft Azure, AI and Data Science. Hands-on with Python, SQL, and related tech. Experience with Generative AI, LLMs, and NLP frameworks. Implementing AI into enterprise systems at scale. A plus if you have Microsoft Copilot experience. Great communicator and natural leader—someone who can guide teams and influence clients. More ❯
