field. 5 years of experience in data structures and algorithms. 1 year of experience in a technical leadership role. Experience with machine learning, naturallanguageprocessing (NLP), or generative AI and large language models (LLMs). Experience building complex data processing pipelines with tools like Kafka, Apache Beam (Dataflow) or Spark and with time-series … another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, naturallanguageprocessing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical … growth and solve their most critical business problems. Responsibilities Design, develop, and deploy core components of the financial AI platform, including the orchestration engine, proprietary analytical tools, and data processing pipelines. Build robust, high-performance microservices for complex financial workflows, such as historical backtesting, Monte Carlo simulations, and risk calculations. Collaborate with Google's research teams to integrate and More ❯
NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including naturallanguageprocessing, speech analytics, time series, reinforcement learning and recommendation systems. The candidate must excel in working in a … conferences, experimentation and participating in our knowledge sharing community • Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition and analytics, time-series predictions or recommendation systems • Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions … wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business Required qualifications, capabilities, and skills • Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods • PhD in a quantitative discipline, e.g. Computer Science More ❯
commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including … knowledge sharing community Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as naturallanguageprocessing (NLP), speech recognition and analytics, time-series predictions or recommendation systems Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions … e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with significant years of industry or research experience in the field. Solid background in NLP, LLM and graph analytics and hands-on experience and solid understanding of machine learning and deep learning methods Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch More ❯
from home. The AI Engineer will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural … languageprocessing on a day-to-day basis. Qualifications Pattern Recognition and Neural Networks skills Computer Science and Software Development skills NaturalLanguageProcessing (NLP) skills Strong analytical and problem-solving skills Essential financial services experience (mins 5 years) and hands on AI engineering life cycle experience Bachelor's degree in Computer Science, Engineering, or More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Leading Point
from home. The AI Engineer will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural … languageprocessing on a day-to-day basis. Qualifications Pattern Recognition and Neural Networks skills Computer Science and Software Development skills NaturalLanguageProcessing (NLP) skills Strong analytical and problem-solving skills Essential financial services experience (mins 5 years) and hands on AI engineering life cycle experience Bachelor's degree in Computer Science, Engineering, or More ❯
london, south east england, united kingdom Hybrid / WFH Options
Leading Point
from home. The AI Engineer will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural … languageprocessing on a day-to-day basis. Qualifications Pattern Recognition and Neural Networks skills Computer Science and Software Development skills NaturalLanguageProcessing (NLP) skills Strong analytical and problem-solving skills Essential financial services experience (mins 5 years) and hands on AI engineering life cycle experience Bachelor's degree in Computer Science, Engineering, or More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Leading Point
from home. The AI Engineer will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural … languageprocessing on a day-to-day basis. Qualifications Pattern Recognition and Neural Networks skills Computer Science and Software Development skills NaturalLanguageProcessing (NLP) skills Strong analytical and problem-solving skills Essential financial services experience (mins 5 years) and hands on AI engineering life cycle experience Bachelor's degree in Computer Science, Engineering, or More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Leading Point
from home. The AI Engineer will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural … languageprocessing on a day-to-day basis. Qualifications Pattern Recognition and Neural Networks skills Computer Science and Software Development skills NaturalLanguageProcessing (NLP) skills Strong analytical and problem-solving skills Essential financial services experience (mins 5 years) and hands on AI engineering life cycle experience Bachelor's degree in Computer Science, Engineering, or More ❯
optimizing AI-powered customer service solutions Experience with AI/ML technologies in contact center applications, including NaturalLanguage Understanding (NLU), NaturalLanguageProcessing (NLP), prompt engineering, large language model implementation, chatbot development and optimization, and AI/ML model training and fine-tuning Serverless development experience including complex integrations with Amazon Lex, Lambda More ❯
Overview AI startup company is looking for bilingual senior data scientist. Working Pattern : Remote Location : Worldwide Language Requirement : Japanese and English fluency As a company for whom AI is the product, it should be no surprise that our Data Science team is at the heart of everything - building innovative products, researching new techniques for using Artificial Intelligence in claims … us is a desire to learn, a mastery of our discipline, strong mathematical and statistical skills, and software engineering prowess. We typically specialise in fields such as Computer Vision, NaturalLanguageProcessing and Deep Learning. Our Data Scientists are responsible for all aspects of the AI lifecycle, from understanding business problems, preparing training data, designing and building … You write production-grade, scalable Python code, ensuring that your models are robust, maintainable, and optimised for performance. Comfortable with PyTorch Knowledge of Transformer-based models Knowledge of Large Language Models (LLMs) Proven experience of having delivered successful either Computer Vision or LLM projects into production Strong understanding of software development fundamentals, in particular deploying models to production and More ❯
s committed to transforming returns management while contributing to a more sustainable future. Key job responsibilities -Design, develop, and evaluate highly innovative models for NaturalLanguage Programming (NLP), Large Language Model (LLM), or Large Computer Vision projects. -Use SQL to query and analyze the data. -Use Python, Jupyter notebook, and Pytorch to train/test/deploy … modeling techniques to power our ML models BASIC QUALIFICATIONS - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience with popular deep learning frameworks such as MxNet and Tensor Flow. PREFERRED QUALIFICATIONS - Experience in building machine learning models … for business application - Experience in building speech recognition, machine translation and naturallanguageprocessing systems (e.g., commercial speech products or government speech projects) - PhD in math/statistics/engineering or other equivalent quantitative discipline, or Master's degree - Experience in building Computer Vision (CV) systems. Our inclusive culture empowers Amazonians to deliver the best results for More ❯
London, England, United Kingdom Hybrid / WFH Options
Certain Advantage
NLP/GenAI Data Scientist (3 - 6 months) Python coding & NLP and LLMs experience is Essential Location: 3 days onsite in Central London - do not apply if needing fully remote or not UK based for tax purposes) Sponsorship not available - do not apply if needing sponsorship to work in the UK Certain Advantage are recruiting on behalf of our global … energies client for an NLP/GenAI Data Scientist who can bring a strong understanding in modern NLP, LLMs, transformer architectures, prompt-engineering, RAG, agentic architectures and evaluation methodologies. They require candidates to offer strong knowledge of Python programming for developing and debugging AI models and would expect suitable candidates to be educated to a Degree if not Masters level … intelligent plant monitoring, and autonomous exploratory systems. We’re seeking a Data Scientist with good hands on python skills and a focus on NaturalLanguageProcessing (NLP) to contribute to innovative R&D efforts within the GenAI/NLP team. This role will focus on the application and development of Large Language Models (LLMs), Retrieval-Augmented More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Certain Advantage
NLP/GenAI Data Scientist (3 - 6 months) Python coding & NLP and LLMs experience is Essential Location: 3 days onsite in Central London - do not apply if needing fully remote or not UK based for tax purposes) Sponsorship not available - do not apply if needing sponsorship to work in the UK Certain Advantage are recruiting on behalf of our global … energies client for an NLP/GenAI Data Scientist who can bring a strong understanding in modern NLP, LLMs, transformer architectures, prompt-engineering, RAG, agentic architectures and evaluation methodologies. They require candidates to offer strong knowledge of Python programming for developing and debugging AI models and would expect suitable candidates to be educated to a Degree if not Masters level … intelligent plant monitoring, and autonomous exploratory systems. We’re seeking a Data Scientist with good hands on python skills and a focus on NaturalLanguageProcessing (NLP) to contribute to innovative R&D efforts within the GenAI/NLP team. This role will focus on the application and development of Large Language Models (LLMs), Retrieval-Augmented More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
IT Graduate Recruitment
Machine Learning Engineer (LLM/AI Systems) London/Hybrid | 0–3 Years Experience | Competitive Salary Are you obsessed with AI and large language models? We’re an early-stage startup building real-world products powered by LLMs — from intelligent copilots to adaptive automation tools — and we’re looking for curious minds to help us shape the future of … AI research — we give you time and resources to explore, learn, and publish. What We’re Looking For 0–3 years of experience in Machine Learning, Data Science, or NLP/LLM. Strong Python skills; exposure to PyTorch/TensorFlow/Hugging Face. (Bonus) understand fundamentals of deep learning, LLMs, and MLOps, vector databases, embeddings, or retrieval-augmented generation (RAG … world deployment. Builders who want to join an early-stage company where their work genuinely moves the needle. Machine Learning Engineer, LLM Engineer, AI Engineer, Artificial Intelligence, Deep Learning, NLP, NaturalLanguageProcessing, Large Language Models, Generative AI, GenAI, Neural Networks, PyTorch, TensorFlow, Hugging Face, OpenAI, LangChain, RAG, Retrieval-Augmented Generation, Python, Data Science, AI Research More ❯
innovative product set to disrupt the insurance market. We are looking for candidates with a proven track record in the design and deployment of LLMs for applications within the NLP space, as well as established experience collaborating with product managers, developers, and fellow data scientists within a product-led SaaS environment. What will you be doing? Working within a dynamic … product challenges. Devising and implementing innovative data analysis and data mining strategies, extracting valuable insights from diverse data sources. Harnessing the power of naturallanguageprocessing (NLP) techniques to extract pertinent information from textual data. Formulating predictive models to anticipate future trends, enabling informed decision-making. Constructing automated ML workflows and integrating CI/CD practices to … accessibility. Collaborating closely with DevOps and IT teams to orchestrate the smooth transition of ML models into production environments, upholding scalability and security standards. Technical Requirements Applied AI and NLP Expertise: Proven experience in applying AI techniques to solve real-world NLP problems, with a focus on delivering scalable, production-ready solutions. Hands-on expertise in fine-tuning pre-trained More ❯
used by customers daily. Key Requirements Candidates should bring a minimum of five years’ experience in machine learning engineering, with demonstrable expertise in: NaturalLanguageProcessing (NLP), information extraction, and working with large language models (LLMs) Python programming and major ML frameworks such as PyTorch or TensorFlow MLOps practices including containerisation (Docker), orchestration (Kubernetes), and CI More ❯
used by customers daily. Key Requirements Candidates should bring a minimum of five years’ experience in machine learning engineering, with demonstrable expertise in: NaturalLanguageProcessing (NLP), information extraction, and working with large language models (LLMs) Python programming and major ML frameworks such as PyTorch or TensorFlow MLOps practices including containerisation (Docker), orchestration (Kubernetes), and CI More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Experis UK
degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to naturallanguageprocessing (NLP) , computer vision , or reinforcement learning projects. Experience working in Agile/Scrum environments. Contract Details Location: Hybrid – London (onsite 2–3 days per week) Type: Day-rate contract (Outside/ More ❯
degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to naturallanguageprocessing (NLP) , computer vision , or reinforcement learning projects. Experience working in Agile/Scrum environments. Contract Details Location: Hybrid – London (onsite 2–3 days per week) Type: Day-rate contract (Outside/ More ❯
london, south east england, united kingdom Hybrid / WFH Options
Experis UK
degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to naturallanguageprocessing (NLP) , computer vision , or reinforcement learning projects. Experience working in Agile/Scrum environments. Contract Details Location: Hybrid – London (onsite 2–3 days per week) Type: Day-rate contract (Outside/ More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Experis UK
degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to naturallanguageprocessing (NLP) , computer vision , or reinforcement learning projects. Experience working in Agile/Scrum environments. Contract Details Location: Hybrid – London (onsite 2–3 days per week) Type: Day-rate contract (Outside/ More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Experis UK
degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to naturallanguageprocessing (NLP) , computer vision , or reinforcement learning projects. Experience working in Agile/Scrum environments. Contract Details Location: Hybrid – London (onsite 2–3 days per week) Type: Day-rate contract (Outside/ More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Experis
C#, ASP.NET Core, .NET 6/7) Integrate AI/ML models into production applications using APIs or custom implementations Collaborate with data scientists to implement AI solutions (e.g., NLP, computer vision, predictive analytics) Optimize application performance and scalability Write clean, maintainable, and testable code Participate in code reviews and provide constructive feedback Maintain documentation for AI integration and software … Experience with unit testing, CI/CD, and version control (Git) Strong problem-solving skills and attention to detail Preferred Qualifications: Experience in NaturalLanguageProcessing (NLP), computer vision, or recommendation systems Knowledge of DevOps practices for AI model deployment Familiarity with containerization (Docker/Kubernetes) Experience with real-time data processing and analytics Education: Bachelor More ❯
C#, ASP.NET Core, .NET 6/7) Integrate AI/ML models into production applications using APIs or custom implementations Collaborate with data scientists to implement AI solutions (e.g., NLP, computer vision, predictive analytics) Optimize application performance and scalability Write clean, maintainable, and testable code Participate in code reviews and provide constructive feedback Maintain documentation for AI integration and software … Experience with unit testing, CI/CD, and version control (Git) Strong problem-solving skills and attention to detail Preferred Qualifications: Experience in NaturalLanguageProcessing (NLP), computer vision, or recommendation systems Knowledge of DevOps practices for AI model deployment Familiarity with containerization (Docker/Kubernetes) Experience with real-time data processing and analytics Education: Bachelor More ❯
london, south east england, united kingdom Hybrid / WFH Options
Experis
C#, ASP.NET Core, .NET 6/7) Integrate AI/ML models into production applications using APIs or custom implementations Collaborate with data scientists to implement AI solutions (e.g., NLP, computer vision, predictive analytics) Optimize application performance and scalability Write clean, maintainable, and testable code Participate in code reviews and provide constructive feedback Maintain documentation for AI integration and software … Experience with unit testing, CI/CD, and version control (Git) Strong problem-solving skills and attention to detail Preferred Qualifications: Experience in NaturalLanguageProcessing (NLP), computer vision, or recommendation systems Knowledge of DevOps practices for AI model deployment Familiarity with containerization (Docker/Kubernetes) Experience with real-time data processing and analytics Education: Bachelor More ❯