201 to 225 of 667 Machine Learning Jobs in the City of London

We are a small London startup with the ambition to change education with ML-powered tutoring . Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone . We are building a … that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Senior NLP Engineer , with a proven track record of delivering ML models to production, to join the ML team in our growing company. What you will do 🚀 Build fundamental models for education - solving the ultimate learning task of predicting student … speak, or learning to speak, more than one language Experience with reinforcement learning Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.) Experience using voice data in ML models What we can offer ✨ A real-deal startup adventure: you'll be hopping on a major project while it's still in the works! Freedom to suggest, implement, and More ❯

We are a small London startup with the ambition to change education with ML-powered tutoring . Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone . We are building a … that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Senior NLP Engineer , with a proven track record of delivering ML models to production, to join the ML team in our growing company. What you will do 🚀 Build fundamental models for education - solving the ultimate learning task of predicting student … speak, or learning to speak, more than one language Experience with reinforcement learning Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.) Experience using voice data in ML models What we can offer ✨ A real-deal startup adventure: you'll be hopping on a major project while it's still in the works! Freedom to suggest, implement, and More ❯

its domain. With a strong focus on automation, personalisation, and intelligent decisioning, this organisation is placing data science at the heart of its strategy, investing heavily in both classic ML and next-generation AI capabilities. This is a company that blends modern product engineering with a fast-moving, high-ownership culture. Their environment encourages experimentation, cross-functional collaboration, and the … what “great” looks like in machine learning at scale. The Role As a Principal Data Scientist, you’ll play a pivotal role in shaping the company’s ML capability, both technically and culturally. Working alongside a collaborative data science team, you’ll help embed AI into core product workflows, define best practices across model deployment and experimentation, and … the entire company’s GenAI efforts. The team have multiple LLM projects running but would love a technical leader in this area Own the end-to-end lifecycle of ML projects, from feature engineering to deployment and monitoring Define best practices for model testing, automation, and continuous improvement within a high-performing team Act as a technical thought leader, partnering More ❯

its domain. With a strong focus on automation, personalisation, and intelligent decisioning, this organisation is placing data science at the heart of its strategy, investing heavily in both classic ML and next-generation AI capabilities. This is a company that blends modern product engineering with a fast-moving, high-ownership culture. Their environment encourages experimentation, cross-functional collaboration, and the … what “great” looks like in machine learning at scale. The Role As a Principal Data Scientist, you’ll play a pivotal role in shaping the company’s ML capability, both technically and culturally. Working alongside a collaborative data science team, you’ll help embed AI into core product workflows, define best practices across model deployment and experimentation, and … the entire company’s GenAI efforts. The team have multiple LLM projects running but would love a technical leader in this area Own the end-to-end lifecycle of ML projects, from feature engineering to deployment and monitoring Define best practices for model testing, automation, and continuous improvement within a high-performing team Act as a technical thought leader, partnering More ❯

London, UK This is a permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human preferences, ensuring they are … and generative modelling, helping us build the next generation of foundation models Responsibilities: Develop and refine RLHF algorithms for large language and generative models. Research and implement deep reinforcement learning methods (policy gradients, actor-critic, off-policy learning) for model alignment. Train, fine-tune, and evaluate LLMs and diffusion models at scale. Design experiments to align generative outputs … on experience training/fine-tuning generative models (LLMs, diffusion, transformers, GANs). Strong knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow). Proficiency in Python and standard ML libraries. Solid foundations in probability, optimisation, and statistics. Experience working with large-scale distributed training on GPUs/TPUs. If this sounds of interest, please reach out to daniel@microtech More ❯

London, UK This is a permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human preferences, ensuring they are … and generative modelling, helping us build the next generation of foundation models Responsibilities: Develop and refine RLHF algorithms for large language and generative models. Research and implement deep reinforcement learning methods (policy gradients, actor-critic, off-policy learning) for model alignment. Train, fine-tune, and evaluate LLMs and diffusion models at scale. Design experiments to align generative outputs … on experience training/fine-tuning generative models (LLMs, diffusion, transformers, GANs). Strong knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow). Proficiency in Python and standard ML libraries. Solid foundations in probability, optimisation, and statistics. Experience working with large-scale distributed training on GPUs/TPUs. If this sounds of interest, please reach out to daniel@microtech More ❯

Senior AI Engineer to join a dynamic team working on cutting-edge industrial and customer-focused AI initiatives. Key Responsibilities: Lead the design, development, and deployment of AI and machine learning solutions for enterprise environments. Apply advanced techniques such as deep learning, graph neural networks, object detection, sensor fusion, vector embedding, retrieval augmented generation, and generative AI. … and strategic thinking skills. Preferred Experience: Familiarity with industrial domains such as reliability, corrosion, WRFM, and process engineering. Exposure to customer platforms and trading ERP systems. Experience with Azure ML Studio, Foundry, or Databricks Mosaic. Knowledge of NLP, LLM deployment, Agentic AI (MCP, A2A, N8N), and RAG systems. This is a fantastic opportunity to work on high-impact AI projects More ❯

Senior AI Engineer to join a dynamic team working on cutting-edge industrial and customer-focused AI initiatives. Key Responsibilities: Lead the design, development, and deployment of AI and machine learning solutions for enterprise environments. Apply advanced techniques such as deep learning, graph neural networks, object detection, sensor fusion, vector embedding, retrieval augmented generation, and generative AI. … and strategic thinking skills. Preferred Experience: Familiarity with industrial domains such as reliability, corrosion, WRFM, and process engineering. Exposure to customer platforms and trading ERP systems. Experience with Azure ML Studio, Foundry, or Databricks Mosaic. Knowledge of NLP, LLM deployment, Agentic AI (MCP, A2A, N8N), and RAG systems. This is a fantastic opportunity to work on high-impact AI projects More ❯

workflow automation tools (e.g. n8n, LangChain) or BI platforms (QuickSight*, Tableau, Power BI). Exposure to cloud platforms (AWS, Docker) or CI/CD principles. Previous projects involving NLP, machine learning, automation, or dashboard design. Why Apply? Impact: Contribute directly to shaping an AI-driven product used by leading brands. Learning: Gain hands-on experience with modern More ❯

workflow automation tools (e.g. n8n, LangChain) or BI platforms (QuickSight*, Tableau, Power BI). Exposure to cloud platforms (AWS, Docker) or CI/CD principles. Previous projects involving NLP, machine learning, automation, or dashboard design. Why Apply? Impact: Contribute directly to shaping an AI-driven product used by leading brands. Learning: Gain hands-on experience with modern More ❯

Nice to Have: Familiarity with message brokers (Kafka, SQS/SNS, RabbitMQ). Knowledge of real-time streaming (Kafka Streams, Apache Flink, etc.). Exposure to big-data or machine-learning frameworks (TensorFlow, PyTorch, Hugging Face, LangChain). Understanding of infrastructure and DevOps (Terraform, Ansible, AWS, Kubernetes). Exposure to fintech or start-up environments. Mindset & Attributes: Positive More ❯

Nice to Have: Familiarity with message brokers (Kafka, SQS/SNS, RabbitMQ). Knowledge of real-time streaming (Kafka Streams, Apache Flink, etc.). Exposure to big-data or machine-learning frameworks (TensorFlow, PyTorch, Hugging Face, LangChain). Understanding of infrastructure and DevOps (Terraform, Ansible, AWS, Kubernetes). Exposure to fintech or start-up environments. Mindset & Attributes: Positive More ❯

for data extraction, transforming JSON & XML, utlising high experience within metadata management. Collaborate with data engineers to develop data, enrich product design and integrate data for predictive models or machine learning. Deliver well-defined, transformed, tested, documented, and code-reviewed datasets for analysis. Evaluate and recommend improvements in data flow, influencing and supporting architects and engineers. To work independently More ❯

ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/CD, Docker, AWS (S3, Lambda, SageMaker), Kubernetes, Terraform/CDK ML Ops & Automation: MLFlow, feature stores, model monitoring, A/B testing Data Security & Compliance: Secure SDLC, ISO/NIST, data governance, GDPR-compliant pipelines Collaboration & Control: Git-based workflows, Jira … current). Nice-to-haves 🌳 Military background (RAF, Army, Navy) or MOD/National Security project experience. Experience with Palantir Foundry (full training provided). Familiarity with AI/ML Ops pipelines , real-time analytics, or edge deployments. Big Data stack knowledge (e.g., Hadoop, Spark, Kafka). GenAI/LLM experience (e.g., AWS Bedrock, LangChain). Why this is a … impact: Work on projects where data-driven decisions have real-world consequences. Growth: Multiple openings from mid-level to Principal; training & leadership opportunities. Tech & training: Palantir certification & AI/ML training included. Culture: Perfect for veterans and security-cleared professionals seeking purpose-driven work. Trajectory: Series A-funded, one of the fastest-growing UK tech start-ups in defence data More ❯

ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/CD, Docker, AWS (S3, Lambda, SageMaker), Kubernetes, Terraform/CDK ML Ops & Automation: MLFlow, feature stores, model monitoring, A/B testing Data Security & Compliance: Secure SDLC, ISO/NIST, data governance, GDPR-compliant pipelines Collaboration & Control: Git-based workflows, Jira … current). Nice-to-haves 🌳 Military background (RAF, Army, Navy) or MOD/National Security project experience. Experience with Palantir Foundry (full training provided). Familiarity with AI/ML Ops pipelines , real-time analytics, or edge deployments. Big Data stack knowledge (e.g., Hadoop, Spark, Kafka). GenAI/LLM experience (e.g., AWS Bedrock, LangChain). Why this is a … impact: Work on projects where data-driven decisions have real-world consequences. Growth: Multiple openings from mid-level to Principal; training & leadership opportunities. Tech & training: Palantir certification & AI/ML training included. Culture: Perfect for veterans and security-cleared professionals seeking purpose-driven work. Trajectory: Series A-funded, one of the fastest-growing UK tech start-ups in defence data More ❯

bonus & benefits My client are seeking an AI Engineer to design, develop, and deploy large language models and autonomous AI agents at scale. You’ll work across the full ML lifecycle—from dataset curation and model development to MLOps, production deployment, and integration of agentic reasoning pipelines into real-world applications. Salary and Benefits Competitive salary … training on GPUs/TPUs using DeepSpeed, Ray, or Horovod. Implement mixed-precision training, model sharding, and checkpointing strategies for high-performance inference. Requirements 5+ years in AI/ML engineering or applied research, with deep experience in LLMs, generative AI, or autonomous AI agents. Strong programming skills in Python, PyTorch, TensorFlow, or JAX. Hands-on experience with agentic AI … of RAG, vector databases, embeddings, and autonomous task orchestration. Experience deploying AI models in production with MLOps best practices. Cloud experience: AWS, GCP, or Azure. Advanced degree in AI, Machine Learning, NLP, Computer Science, or related field. Strong problem-solving skills and the ability to translate research into production systems. If you’re interested, get in touch ASAP More ❯

to data strategies, roadmaps, and vision for data enablement. Contribute to the development of best practices, toolkits, and reusable components. Mentor junior team members and support a culture of learning and innovation. Stay current with emerging technologies and methodologies. Work within agile delivery frameworks, contributing to planning, retrospectives, and sprint goals. Collaborate with cross-functional teams, including Product Managers … be able to work within a secure environment. Desirable Skills & Experience: Experience working on high-volume or high-performance data systems Exposure to real-time data processing, IoT, or machine learning pipelines. Knowledge of modern data mesh or data fabric principles. Experience with containerisation and orchestration (Docker, Kubernetes). Familiarity with infrastructure as code (Terraform, ARM templates, CloudFormation More ❯

to data strategies, roadmaps, and vision for data enablement. Contribute to the development of best practices, toolkits, and reusable components. Mentor junior team members and support a culture of learning and innovation. Stay current with emerging technologies and methodologies. Work within agile delivery frameworks, contributing to planning, retrospectives, and sprint goals. Collaborate with cross-functional teams, including Product Managers … be able to work within a secure environment. Desirable Skills & Experience: Experience working on high-volume or high-performance data systems Exposure to real-time data processing, IoT, or machine learning pipelines. Knowledge of modern data mesh or data fabric principles. Experience with containerisation and orchestration (Docker, Kubernetes). Familiarity with infrastructure as code (Terraform, ARM templates, CloudFormation More ❯

risk more effectively. With a modern, open-source tech stack and a commitment to excellence, we tackle complex, high-impact challenges at scale-ranging from cloud-native infrastructure and machine learning platforms to real-time analytics, custom APIs, and internal libraries. Role Responsibilities You will play a key role in building out our new front-end analytics platform … salary and comprehensive medical, dental, and retirement benefits. Employee assistance and wellness programs. Parental and family leave policies. Paid volunteer days and charitable contribution matching. Tuition assistance and continued learning opportunities. Quarterly innovation and collaboration awards. Employee discount programs, including fitness facilities. Generous paid time off. To apply for this role please submit your CV or contact David Airey More ❯

Work with large datasets from multiple sources (investment, risk, client, operational) to create integrated analytical views. Contribute to the development of a modern data platform supporting advanced analytics and machine learning use cases. Support the migration of legacy reporting tools into Databricks and modern BI solutions. Key Skills & Experience Essential: Strong hands-on experience with Databricks (SQL, PySpark More ❯

Work with large datasets from multiple sources (investment, risk, client, operational) to create integrated analytical views. Contribute to the development of a modern data platform supporting advanced analytics and machine learning use cases. Support the migration of legacy reporting tools into Databricks and modern BI solutions. Key Skills & Experience Essential: Strong hands-on experience with Databricks (SQL, PySpark More ❯

role in designing and delivering the next generation of their data platform. What you’ll be doing Designing, developing, and optimising scalable data pipelines that power advanced analytics and machine learning. Building and maintaining robust ETL/ELT workflows using Python, SQL, dbt, and cloud-native tools . Implementing data quality, observability, and governance frameworks to ensure reliability and More ❯

role in designing and delivering the next generation of their data platform. What you’ll be doing Designing, developing, and optimising scalable data pipelines that power advanced analytics and machine learning. Building and maintaining robust ETL/ELT workflows using Python, SQL, dbt, and cloud-native tools . Implementing data quality, observability, and governance frameworks to ensure reliability and More ❯

Engineering, or equivalent hands-on experience Bonus Points For 🏆 Starburst Certified Practitioner certification 💻 Programming Skills in Python and/or Java 🤖 Automation Expertise with tools like Ansible 🧠 AI/ML Data Requirements understanding 📊 Data Federation and caching technologies experience 🔄 Data Pipeline design and optimisation 🏢 Dell Data Lakehouse administration background Services offered by Computappoint Limited are those of an Employment Business More ❯

related role within a media agency, consultancy, or fast-paced business. Strong programming skills in Python, with experience building automation workflows, APIs, and data pipelines. Exposure to AI/ML frameworks (e.g. OpenAI, LangChain, TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation More ❯