london, south east england, united kingdom Hybrid / WFH Options
Aspect
that drive meaningful business outcomes. The Role As our Generative AI Engineer , you’ll be at the forefront of innovation, designing and deploying next-generation AI systems using large language models (LLMs), multi-agent frameworks, and cutting-edge GenAI tooling. You’ll partner closely with stakeholders across Product, Design, and Operations to translate business needs into intelligent, scalable applications. More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Aspect
that drive meaningful business outcomes. The Role As our Generative AI Engineer , you’ll be at the forefront of innovation, designing and deploying next-generation AI systems using large language models (LLMs), multi-agent frameworks, and cutting-edge GenAI tooling. You’ll partner closely with stakeholders across Product, Design, and Operations to translate business needs into intelligent, scalable applications. More ❯
core libraries (e.g. NumPy, Pandas), plus familiarity with deep learning tooling like PyTorch Expertise in a wide range of ML methods, including supervised and unsupervised learning, time series, or NLP and LLM/GenAI based projects. Ability to scope and structure solutions around ambiguous business problems, turning them into tractable pipelines Confident in managing small technical teams, reviewing work, and More ❯
core libraries (e.g. NumPy, Pandas), plus familiarity with deep learning tooling like PyTorch Expertise in a wide range of ML methods, including supervised and unsupervised learning, time series, or NLP and LLM/GenAI based projects. Ability to scope and structure solutions around ambiguous business problems, turning them into tractable pipelines Confident in managing small technical teams, reviewing work, and More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Forward Role
MLflow, Docker, and cloud environments (AWS/Azure/GCP). Excellent communication — able to simplify complex technical ideas for learners of mixed ability. Bonus points for: Experience with NLP/LLMs, Computer Vision or Generative AI Formal teaching qualification or EPA assessor experience Hands-on exposure to responsible AI or prompt engineering Why join? You'll be part of More ❯
About the Role: We are looking for a Software Engineer – Generative AI to design, develop, and deploy advanced AI solutions, including fine-tuning Vision and Language Models (V/LLMs) and implementing Graph-based RAG (Retrieval-Augmented Generation) systems. As a key member of our Global Supply Chain GenAI Team , you will drive the technical implementation of scalable, secure … Advanced degree (PhD preferred) in Engineering, Data Science, Statistics, Computer Science, Physics, or related field . Minimum 5+ years of experience in at least two AI domains such as NLP, NLG, Computer Vision, Machine Learning, or GenAI . Proven experience with fine-tuning and training LLMs , and developing Graph RAG solutions in production environments. Technical Expertise: Proficiency in cloud platforms More ❯
About the Role: We are looking for a Software Engineer – Generative AI to design, develop, and deploy advanced AI solutions, including fine-tuning Vision and Language Models (V/LLMs) and implementing Graph-based RAG (Retrieval-Augmented Generation) systems. As a key member of our Global Supply Chain GenAI Team , you will drive the technical implementation of scalable, secure … Advanced degree (PhD preferred) in Engineering, Data Science, Statistics, Computer Science, Physics, or related field . Minimum 5+ years of experience in at least two AI domains such as NLP, NLG, Computer Vision, Machine Learning, or GenAI . Proven experience with fine-tuning and training LLMs , and developing Graph RAG solutions in production environments. Technical Expertise: Proficiency in cloud platforms More ❯
About the Role: We are looking for a Software Engineer – Generative AI to design, develop, and deploy advanced AI solutions, including fine-tuning Vision and Language Models (V/LLMs) and implementing Graph-based RAG (Retrieval-Augmented Generation) systems. As a key member of our Global Supply Chain GenAI Team , you will drive the technical implementation of scalable, secure … Advanced degree (PhD preferred) in Engineering, Data Science, Statistics, Computer Science, Physics, or related field . Minimum 5+ years of experience in at least two AI domains such as NLP, NLG, Computer Vision, Machine Learning, or GenAI . Proven experience with fine-tuning and training LLMs , and developing Graph RAG solutions in production environments. Technical Expertise: Proficiency in cloud platforms More ❯
london (city of london), south east england, united kingdom
Infoplus Technologies UK Limited
About the Role: We are looking for a Software Engineer – Generative AI to design, develop, and deploy advanced AI solutions, including fine-tuning Vision and Language Models (V/LLMs) and implementing Graph-based RAG (Retrieval-Augmented Generation) systems. As a key member of our Global Supply Chain GenAI Team , you will drive the technical implementation of scalable, secure … Advanced degree (PhD preferred) in Engineering, Data Science, Statistics, Computer Science, Physics, or related field . Minimum 5+ years of experience in at least two AI domains such as NLP, NLG, Computer Vision, Machine Learning, or GenAI . Proven experience with fine-tuning and training LLMs , and developing Graph RAG solutions in production environments. Technical Expertise: Proficiency in cloud platforms More ❯
looking AI-focused team, applying advanced analytics and model validation techniques to high-impact surveillance systems. What youll be doing Validate and review trade surveillance models (machine learning, statistical, NLP). Configure and dynamically tune third-party systems for market data changes. Perform benchmarking, backtesting, and stress testing in Python. Assess model documentation, conceptual soundness, and explainability. Evaluate data quality More ❯
overview of what this job will require Are you the right candidate for this opportunity What you'll be doing Validate and review trade surveillance models (machine learning, statistical, NLP). Configure and dynamically tune third-party systems for market data changes. Perform benchmarking, backtesting, and stress testing in Python. Assess model documentation, conceptual soundness, and explainability. Evaluate data quality More ❯
North London, London, United Kingdom Hybrid / WFH Options
Lancesoft Ltd
in the artificial intelligence and machine learning domain . The role will focus on building, testing, and improving AI agents, with a strong emphasis on generative AI and large language models (LLMs). You will work closely with engineers and technical leads to design experiments, refine prompts, and ensure robust system performance. Responsibilities: Develop and refine test prompts to More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Sanderson
Expertise: Solid understanding of computer science fundamentals and time-series forecasting. Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning). Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from More ❯
or data science with both hands-on technical delivery and leadership responsibilities. Expertise in Power BI, SQL, and semantic modelling. Experience applying ML/AI techniques (e.g., predictive modelling, NLP) to real-world problems. Excellent communication skills and a passion for mentoring. A degree in a relevant field or equivalent experience; Relevant certifications in Power BI, Azure, or data science More ❯
value. Location: London (3 days onsite) Contract: 6 Months (extension very likely) Rate: £400-450 (IIR35) Start date: ASAP What you'll do: Build and deploy AI models (LLMs, NLP, image recognition, predictive analytics) into business workflows. Prototype privacy-first solutions using techniques such as federated learning, differential privacy, and secure multi-party computation. Implement safeguards across the ML lifecycle More ❯
user research to UX, UI, and prototyping. Collaborate with front-end developers to ensure accessible, scalable, and sustainable design implementation. Partner with data engineering and AI teams to integrate NLP, LLM, and advanced analytics into user workflows. Define and evolve visual languages, data visualisation systems, and design standards across products. Use qualitative and quantitative research to inform design decisions and More ❯
user research to UX, UI, and prototyping. Collaborate with front-end developers to ensure accessible, scalable, and sustainable design implementation. Partner with data engineering and AI teams to integrate NLP, LLM, and advanced analytics into user workflows. Define and evolve visual languages, data visualisation systems, and design standards across products. Use qualitative and quantitative research to inform design decisions and More ❯
user research to UX, UI, and prototyping. Collaborate with front-end developers to ensure accessible, scalable, and sustainable design implementation. Partner with data engineering and AI teams to integrate NLP, LLM, and advanced analytics into user workflows. Define and evolve visual languages, data visualisation systems, and design standards across products. Use qualitative and quantitative research to inform design decisions and More ❯
london (city of london), south east england, united kingdom
La Fosse
user research to UX, UI, and prototyping. Collaborate with front-end developers to ensure accessible, scalable, and sustainable design implementation. Partner with data engineering and AI teams to integrate NLP, LLM, and advanced analytics into user workflows. Define and evolve visual languages, data visualisation systems, and design standards across products. Use qualitative and quantitative research to inform design decisions and More ❯
core libraries (e.g. NumPy, Pandas), plus familiarity with deep learning tooling like PyTorch Expertise in a wide range of ML methods, including supervised and unsupervised learning, time series, or NLP and LLM/GenAI based projects. Ability to scope and structure solutions around ambiguous business problems, turning them into tractable pipelines Confident in managing small technical teams, reviewing work, and More ❯
part innovator. Someone who can move from concept to code without getting lost in the theory. You’ve already built or deployed real-world AI systems. You understand LLMs, NLP, and ML frameworks like TensorFlow, PyTorch, or LangChain. You know your way around Azure, AWS, or GCP, and you’re confident designing APIs, microservices, and data pipelines. Maybe you’ve More ❯
part innovator. Someone who can move from concept to code without getting lost in the theory. You’ve already built or deployed real-world AI systems. You understand LLMs, NLP, and ML frameworks like TensorFlow, PyTorch, or LangChain. You know your way around Azure, AWS, or GCP, and you’re confident designing APIs, microservices, and data pipelines. Maybe you’ve More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Higher - AI recruitment
of ex-Palantir and ex-OpenAI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid) : London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate about using AI technology to More ❯
of ex-Palantir and ex-OpenAI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid) : London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate about using AI technology to More ❯
part innovator. Someone who can move from concept to code without getting lost in the theory. You’ve already built or deployed real-world AI systems. You understand LLMs, NLP, and ML frameworks like TensorFlow, PyTorch, or LangChain. You know your way around Azure, AWS, or GCP, and you’re confident designing APIs, microservices, and data pipelines. Maybe you’ve More ❯
