776 to 800 of 2,264 Machine Learning Jobs in London

Our client is seeking a forward-thinking Artifical Intelligence Consultant to help transform the future of media through the power of artificial intelligence and machine learning. In this role, you will work cross-functionally with product, data, editorial, and engineering teams to … design and implement cutting-edge AI solutions that enhance content creation, distribution, audience engagement, and monetisation. Key Responsibilities: Identify, develop, and deploy AI/ML strategies to address business challenges across content and audience platforms. Collaborate with stakeholders to implement NLP, computer vision, and generative AI applications in editorial workflows … personalised content delivery at scale. Experience Strong background in Machine Learning, Deep Learning, NLP, and Computer Vision. Experience with AI/ML frameworks such as TensorFlow, PyTorch, scikit-learn, spaCy, or similar. Familiarity with Large Language Models (LLMs) and generative AI applications in media (e.g., content summarisation More ❯

Our client is seeking a forward-thinking Artifical Intelligence Consultant to help transform the future of media through the power of artificial intelligence and machine learning. In this role, you will work cross-functionally with product, data, editorial, and engineering teams to … design and implement cutting-edge AI solutions that enhance content creation, distribution, audience engagement, and monetisation. Key Responsibilities: Identify, develop, and deploy AI/ML strategies to address business challenges across content and audience platforms. Collaborate with stakeholders to implement NLP, computer vision, and generative AI applications in editorial workflows … personalised content delivery at scale. Experience Strong background in Machine Learning, Deep Learning, NLP, and Computer Vision. Experience with AI/ML frameworks such as TensorFlow, PyTorch, scikit-learn, spaCy, or similar. Familiarity with Large Language Models (LLMs) and generative AI applications in media (e.g., content summarisation More ❯

This is a new and evolving role, ideal for a data or software engineer who wants to work at the intersection of data engineering, ML infrastructure, and product integration. We don't expect you to have experience with all of these-this role is a great opportunity for someone who … wants to grow into and shape the intersection of AI, data, and product development. You'll collaborate closely with ML engineers, data scientists, and product & UX design to bring AI models into production, develop robust data infrastructure, and contribute to how data is accessed and used-whether through APIs, internal … they fit into the bigger picture, this role offers an exciting challenge. The Role Build and maintain scalable data pipelines to support AI/ML workloads. Develop APIs and backend services that integrate AI models into production systems. Work with ML engineers to deploy and optimize AI models in real More ❯

and drive the architectural vision for the Data platform. This role requires a deep understanding of modern data architectures, cloud technologies, and AI/ML frameworks with hands-on expertise in Snowflake, dbt, and Azure AI/ML services. Key responsibilities: Architect & Design: Define and evolve the Data platform architecture … ensuring scalability, security, and cost-effectiveness Data Strategy & Governance: Collaborate with the CDO to shape data strategy, governance, and compliance frameworks Cloud & AI/ML Initiatives: Lead Azure AI/ML adoption, integrating advanced analytics and machine learning capabilities Modern Data Stack: Oversee the implementation of Snowflake, dbt … engineering teams, and business stakeholders to align technology with business objectives Innovation & Best Practices: Stay ahead of emerging trends in data engineering, AI/ML, and cloud computing, ensuring industry best practices Your Profile Essential skills/knowledge/experience: Experience in Enterprise Architecture, Data Engineering, or Cloud Data Platforms More ❯

and drive the architectural vision for the Data platform. This role requires a deep understanding of modern data architectures, cloud technologies, and AI/ML frameworks with hands-on expertise in Snowflake, dbt, and Azure AI/ML services. Key responsibilities: Architect & Design: Define and evolve the Data platform architecture … ensuring scalability, security, and cost-effectiveness Data Strategy & Governance: Collaborate with the CDO to shape data strategy, governance, and compliance frameworks Cloud & AI/ML Initiatives: Lead Azure AI/ML adoption, integrating advanced analytics and machine learning capabilities Modern Data Stack: Oversee the implementation of Snowflake, dbt … engineering teams, and business stakeholders to align technology with business objectives Innovation & Best Practices: Stay ahead of emerging trends in data engineering, AI/ML, and cloud computing, ensuring industry best practices Your Profile Essential skills/knowledge/experience: Experience in Enterprise Architecture, Data Engineering, or Cloud Data Platforms More ❯

years of experience in a consultancy role focused on innovation/data science/AI Deep knowledge of AI technologies (intelligent automation, machine learning, deep learning, LLMs, LRMs, autonomous agents and agentic workflows) and AI frameworks Hands-on experience with AI or data-related projects and familiar More ❯

years of experience in a consultancy role focused on innovation/data science/AI Deep knowledge of AI technologies (intelligent automation, machine learning, deep learning, LLMs, LRMs, autonomous agents and agentic workflows) and AI frameworks Hands-on experience with AI or data-related projects and familiar More ❯

and work on solving problems! We are a team of Data Engineers supporting Applied Scientists, Data Scientists, and Economists who experiment, research, and turn machine learning, deep learning, and AI research into great products for our customers. ISS is … seeking a smart, highly motivated, and experienced Data Engineer to join our team. In this role, you'll help create the right Data and ML infrastructure. As a Data Engineer, you will provide technical leadership, lead data engineering initiatives, and build end-to-end analytical solutions that are highly available More ❯

AI/ML Engineers We are looking for a goal oriented and driven AI/ML Engineers with relevant experiences. Key Responsibilities: Neural Network Training : Develop and train advanced neural network models to meet specific functional requirements. Deployment and Integration : Efficiently deploy these neural networks on servers, ensuring optimal performance … models and the platform based on user feedback and evolving technological trends. Skills and Qualifications: Minimum 4 years of experience in building AI/ML software. Strong expertise in machine learning and neural network algorithms. Proficient in programming languages like Python, and libraries such as TensorFlow, PyTorch, NumPy More ❯

AI/ML Engineers We are looking for a goal oriented and driven AI/ML Engineers with relevant experiences. Key Responsibilities: Neural Network Training: Develop and train advanced neural network models to meet specific functional requirements. Deployment and Integration: Efficiently deploy these neural networks on servers, ensuring optimal performance … models and the platform based on user feedback and evolving technological trends. Skills and Qualifications: Minimum 4 years of experience in building AI/ML software. Strong expertise in machine learning and neural network algorithms. Proficient in programming languages like Python, and libraries such as TensorFlow, PyTorch, NumPy More ❯

AI technologies to solve complex business problems. A Customer Engineer needs a blend of strong technical skills in cloud-native technologies, including AI/ML, and excellent communication and problem-solving abilities to assist customers with their cloud solutions. Core Focus: Google Cloud Platform (GCP) Expertise Cloud-Native Proficiency: Kubernetes … Mastery: Deep knowledge of core GCP services (Compute Engine, Storage, SQL, BigQuery, etc.), with a strong emphasis on Vertex AI and other AI/ML offerings. Vertex AI: Expertise in building, deploying, and scaling machine learning models with Vertex AI, including AutoML, custom training, and pre-trained models. … Understanding of Vertex AI's role in enabling generative AI solutions. GCP AI/ML Services: Knowledge of other relevant Google Cloud AI/ML services and APIs (e.g., Natural Language API, Vision API). Infrastructure Automation: IaC with Terraform or Cloud Deployment Manager. Cloud Solution Design: Building scalable, secure More ❯

content based on feedback and performance. Stay Current with Industry Trends and Tools: Update training materials with the latest developments in AI, NLP, and machine learning. Qualifications: Bachelor’s or Master’s in Computer Science, Linguistics, AI, or related fields. Experience working in AI/… NLP with experience in conversational AI development. Proven experience delivering technical training on conversational AI to diverse audiences. Holding certification that relevant AI/ML certifications (e.g., Google Professional ML Engineer, AWS Machine Learning, or NLP-focused credentials). Contributions to AI publications, conference talks, or active involvement … in addressing learner questions and providing solutions during training activities. Able to adjust training content and style based on industry, participant skill levels, and learning environments. To be considered, please ensure you complete your application on the Computappoint website. Services offered by Computappoint Limited are those of an Employment More ❯

content based on feedback and performance. Stay Current with Industry Trends and Tools: Update training materials with the latest developments in AI, NLP, and machine learning. Qualifications: Bachelor’s or Master’s in Computer Science, Linguistics, AI, or related fields. Experience working in AI/… NLP with experience in conversational AI development. Proven experience delivering technical training on conversational AI to diverse audiences. Holding certification that relevant AI/ML certifications (e.g., Google Professional ML Engineer, AWS Machine Learning, or NLP-focused credentials). Contributions to AI publications, conference talks, or active involvement … in addressing learner questions and providing solutions during training activities. Able to adjust training content and style based on industry, participant skill levels, and learning environments. To be considered, please ensure you complete your application on the Computappoint website. Services offered by Computappoint Limited are those of an Employment More ❯

be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career … microsoft, ibm, oracle, hp, sap - Experience developing software code in one or more programming languages (java, python, etc.) - Relevant experience in building large scale machine learning or deep learning models and Generative AI model development - Eligibility for the UK Security Clearance PREFERRED QUALIFICATIONS - Knowledge of the primary … engineering, or computer science - Experience communicating across technical and non-technical audiences - Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet - Fluency in written and spoken English Amazon is an equal opportunities employer. We believe passionately that employing a More ❯

traditional AI techniques such as decision trees, clustering, and regression analysis to complement advanced AI workflows Implement and manage CI/CD pipelines for ML workflows, including testing, validation, and deployment. Optimize cloud infrastructure for cost-efficient training and serving of GenAI and LLM models. Define and enforce best practices … for model versioning, reproducibility, and governance. Monitor and troubleshoot production systems to minimize downtime. Utilize Databricks to build and manage data and ML pipelines integrated with GenAI and LLM workflows. Evaluate and integrate state-of-the-art MLOps tools and frameworks for LLMs and other GenAI models. Stay updated on … or Master's degree in Computer Science, Engineering, or a related field. 5+ years of experience in MLOps, DevOps, or related roles, focusing on ML and AI. Proven expertise in deploying and managing Generative AI models (e.g., GPT, Stable Diffusion, BERT). Proficient in Python and ML libraries such as More ❯

lineage, and auditability across pipelines and environments. Machine Learning & Advanced Analytics Enablement: Collaborate with data scientists to prepare and serve features for ML models. Maintain awareness of ML pipeline integration and ensure data readiness for experimentation and deployment. Documentation & Continuous Improvement: Maintain thorough documentation including technical specifications , data More ❯

lineage, and auditability across pipelines and environments. Machine Learning & Advanced Analytics Enablement: Collaborate with data scientists to prepare and serve features for ML models. Maintain awareness of ML pipeline integration and ensure data readiness for experimentation and deployment. Documentation & Continuous Improvement: Maintain thorough documentation including technical specifications , data More ❯

orchestrating complex multi-agent systems. Collaborate with engineers to transition experimental models into production-ready systems . Qualifications: Strong background in AI research, applied machine learning, and NLP . Experience with LLM model adaptation, fine-tuning, and inference optimization . Proficiency in Python, Pydantic, FastAPI, and working with … databases, embeddings, and structured AI retrieval . Hands-on experience with LLM-based planning, reasoning, and autonomous task execution . Familiarity with self-supervised learning, reinforcement learning, or adaptive AI techniques . Ability to translate academic AI research into … practical experiments and working prototypes . Experience deploying AI models in cloud environments such as AWS/GCP . MSc or PhD in AI, ML, Computer Science, or a related field. Benefits: 34 Holidays (25 days annual leave + your birthday off + bank hols in England) Equity (Share Options More ❯

Scientist to join our clients innovative team in Stratford, London , where you'll play a pivotal role in delivering scalable, production-ready AI/ML solutions. Responsibilities Collaborate across Data Science and DevOps to turn experimental ML models into deployed applications. Package and deploy ML models (including Hugging Face Transformers … like SageMaker, Bedrock, Glue, Athena, and Redshift. Develop secure APIs with Apigee and build automation pipelines using Jenkins, Maven, and more. Support the full ML lifecycle including monitoring, governance, and reproducibility. Requirements Degree (or equivalent experience) in Computer Science, Data Science, Mathematics, or a technical field. Proficiency in Python (or … R), with hands-on experience in ML and statistical modeling. End-to-end experience with MLOps , from experimentation to deployment and monitoring. Strong grasp of ethical AI practices: model explainability, transparency, bias mitigation. Hands-on with AWS services (SageMaker, Glue, Redshift, Bedrock, Lambda, Fargate). Skilled in deploying and hosting More ❯

Scientist to join our clients innovative team in Stratford, London , where you'll play a pivotal role in delivering scalable, production-ready AI/ML solutions. Responsibilities Collaborate across Data Science and DevOps to turn experimental ML models into deployed applications. Package and deploy ML models (including Hugging Face Transformers … like SageMaker, Bedrock, Glue, Athena, and Redshift. Develop secure APIs with Apigee and build automation pipelines using Jenkins, Maven, and more. Support the full ML lifecycle including monitoring, governance, and reproducibility. Requirements Degree (or equivalent experience) in Computer Science, Data Science, Mathematics, or a technical field. Proficiency in Python (or … R), with hands-on experience in ML and statistical modeling. End-to-end experience with MLOps , from experimentation to deployment and monitoring. Strong grasp of ethical AI practices: model explainability, transparency, bias mitigation. Hands-on with AWS services (SageMaker, Glue, Redshift, Bedrock, Lambda, Fargate). Skilled in deploying and hosting More ❯

We are Looking For: Basic Qualifications: 3-5 years of experience in a data science role. Degree in a highly quantitative field: Computer Science, Machine Learning, Statistics, Mathematics, etc. Proficiency with data mining, knowledge of probability theory and advanced statistical techniques. Experience with regression analysis (beyond linear regression … supervised learning, unsupervised learning or time-series analysis. Experience with scientific scripting languages (Python, R, Matlab). Experience accessing and manipulating data in SQL database environments. Experience presenting to internal and external audiences. Comfortable working in a dynamic, fast-paced environment. Team player with track record of collaboration More ❯

be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career … and proposal development - Excellent communication, presentation, and negotiation skills with the ability to build and maintain C-level client relationships - Experience building data or machine learning pipelines, incl. deep learning, GenAI, LLM, etc. as well as hands on experience on AWS services like SageMaker and Bedrock, and More ❯

and fix performance bottlenecks in multi-threaded systems, ensuring high availability and low latency. Technical Exploration: Investigate emerging technologies-particularly in data analysis and machine learning-and adapt them to evolving platform needs. Ideal Candidate Background: Experience: 7+ years of professional software development with exposure to capital markets … valued). Familiarity with Linux-based systems (configuration, scripting, deployment). Docker and/or Kubernetes experience is a plus. Knowledge of statistics or machine learning is a plus (interactions with quant and analytics systems). Understanding of concurrency, networking, and real-time applications. Personal Attributes: Versatile and More ❯

and fix performance bottlenecks in multi-threaded systems, ensuring high availability and low latency. Technical Exploration: Investigate emerging technologies-particularly in data analysis and machine learning-and adapt them to evolving platform needs. Ideal Candidate Background: Experience: 7+ years of professional software development with exposure to capital markets … valued). Familiarity with Linux-based systems (configuration, scripting, deployment). Docker and/or Kubernetes experience is a plus. Knowledge of statistics or machine learning is a plus (interactions with quant and analytics systems). Understanding of concurrency, networking, and real-time applications. Personal Attributes: Versatile and More ❯

Senior MLops (Full Stack) Engineer | London | Foundation Models What you’ll do Build and maintain APIs (FastAPI or similar) to serve ML models Design and manage robust ML infrastructure using Kubernetes, Docker, and Terraform Deploy machine learning models into production and optimize them for performance Collaborate with ML … the infrastructure behind cutting-edge AI systems — pushing the boundaries of speed, efficiency, and scale with a team that lives at the intersection of ML, systems, and optimisation research. 🚀 High-impact, high-autonomy – We’re a lean, expert-led team where your work ships fast, matters deeply, and scales globally. More ❯