751 to 775 of 870 Machine Learning Jobs in the City of London

Do you want to own the ML infrastructure at a frontier AI startup? Have you built cloud and ML systems from scratch, not just maintained them? Are you ready to shape the backbone of 3D generative AI? SpAItial is pioneering the development of a frontier 3D foundation model , combining cutting-edge AI, computer vision, and spatial computing to redefine how … seed funding , with half allocated to compute, SpAItial is a 10-person research-focused team moving fast towards a public demo later this year. We’re looking for a ML & Cloud Infrastructure Engineer to take ownership of our entire ML infrastructure. This isn’t a ticket-handling MLOps role — it’s a chance to build the systems that will power … frontier AI research and production at scale. Key Responsibilities: Design and deploy scalable, high-performance cloud infra for ML workloads Build and manage GPU clusters, storage systems, and distributed training environments Set up and optimise containerised workflows (Docker, Kubernetes, Terraform) Implement robust monitoring, incident response, and CI/CD practices Collaborate closely with researchers to integrate and scale experiments This More ❯

Do you want to own the ML infrastructure at a frontier AI startup? Have you built cloud and ML systems from scratch, not just maintained them? Are you ready to shape the backbone of 3D generative AI? SpAItial is pioneering the development of a frontier 3D foundation model , combining cutting-edge AI, computer vision, and spatial computing to redefine how … seed funding , with half allocated to compute, SpAItial is a 10-person research-focused team moving fast towards a public demo later this year. We’re looking for a ML & Cloud Infrastructure Engineer to take ownership of our entire ML infrastructure. This isn’t a ticket-handling MLOps role — it’s a chance to build the systems that will power … frontier AI research and production at scale. Key Responsibilities: Design and deploy scalable, high-performance cloud infra for ML workloads Build and manage GPU clusters, storage systems, and distributed training environments Set up and optimise containerised workflows (Docker, Kubernetes, Terraform) Implement robust monitoring, incident response, and CI/CD practices Collaborate closely with researchers to integrate and scale experiments This More ❯

engineers to define data specifications, support experimentation, and integrate active learning loops that improve AI models over time. REQUIREMENTS 2 years of proven experience in data engineering for ML/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with cloud data platforms (GCP, AWS, or Azure), orchestration frameworks (e.g., Airflow … collaborating with creative, technical, and legal teams. NICE TO HAVE Experience with Blender scripting, photogrammetry, or NeRF dataset prep. Familiarity with Unity or Unreal Engine pipelines. Understanding of active learning or data augmentation for AI. WHAT THEY OFFER: Hybrid work - 3 days/week from the office Employment contract in the UK Pension program, health and life insurance More ❯

engineers to define data specifications, support experimentation, and integrate active learning loops that improve AI models over time. REQUIREMENTS 2 years of proven experience in data engineering for ML/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with cloud data platforms (GCP, AWS, or Azure), orchestration frameworks (e.g., Airflow … collaborating with creative, technical, and legal teams. NICE TO HAVE Experience with Blender scripting, photogrammetry, or NeRF dataset prep. Familiarity with Unity or Unreal Engine pipelines. Understanding of active learning or data augmentation for AI. WHAT THEY OFFER: Hybrid work - 3 days/week from the office Employment contract in the UK Pension program, health and life insurance More ❯

client outcomes. Key Skills & Experience Essential: Proven experience as a Product Manager for data-driven enterprise products. Strong understanding of data architecture, analytics, and governance. Experience integrating AI/ML models, LLMs, or agent-based systems into commercial products. Familiarity with Model Context Protocol (MCP) or similar AI orchestration frameworks. Ability to translate complex technology into clear business outcomes and … collaboration, and stakeholder management skills. Proficiency in Agile methodologies and tools (Jira, Confluence). Desirable: Knowledge of cloud data technologies (SQL, NoSQL, data lakes). Experience with AI/ML frameworks and orchestration tools. Background in financial services or other regulated industries. Understanding of data processing and reconciliation solutions. What’s on Offer Competitive salary + excellent benefits package Hybrid More ❯

client outcomes. Key Skills & Experience Essential: Proven experience as a Product Manager for data-driven enterprise products. Strong understanding of data architecture, analytics, and governance. Experience integrating AI/ML models, LLMs, or agent-based systems into commercial products. Familiarity with Model Context Protocol (MCP) or similar AI orchestration frameworks. Ability to translate complex technology into clear business outcomes and … collaboration, and stakeholder management skills. Proficiency in Agile methodologies and tools (Jira, Confluence). Desirable: Knowledge of cloud data technologies (SQL, NoSQL, data lakes). Experience with AI/ML frameworks and orchestration tools. Background in financial services or other regulated industries. Understanding of data processing and reconciliation solutions. What’s on Offer Competitive salary + excellent benefits package Hybrid More ❯

proposed data solutions align with Microsoft best practices and KPMG’s MBS vision. Collaborating with AI, Application, and Data Engineering teams to design AI-augmented data solutions leveraging Azure ML, AI Foundry, or OpenAI on Azure. Contributing to the Microsoft Partner ecosystem by staying current on new releases, patterns, and certifications across the Microsoft Data and AI stack. Required … understanding of how data and analytics integrate with Dynamics 365 (F&O and CE), Power Platform, and Copilot Studio. Exposure to AI technologies in the Microsoft ecosystem (e.g., Azure ML, AI Foundry, Copilot 365, OpenAI Service). Desirable: Working understanding of Azure Data Factory, Azure Databricks and Azure Data Lake. Familiarity with Microsoft Purview. Proven success in a technical/ More ❯

proposed data solutions align with Microsoft best practices and KPMG’s MBS vision. Collaborating with AI, Application, and Data Engineering teams to design AI-augmented data solutions leveraging Azure ML, AI Foundry, or OpenAI on Azure. Contributing to the Microsoft Partner ecosystem by staying current on new releases, patterns, and certifications across the Microsoft Data and AI stack. Required … understanding of how data and analytics integrate with Dynamics 365 (F&O and CE), Power Platform, and Copilot Studio. Exposure to AI technologies in the Microsoft ecosystem (e.g., Azure ML, AI Foundry, Copilot 365, OpenAI Service). Desirable: Working understanding of Azure Data Factory, Azure Databricks and Azure Data Lake. Familiarity with Microsoft Purview. Proven success in a technical/ More ❯

Burns Sheehan, we're exclusively partnered with a leading UK fintech that's transforming small business lending - processing billions in decisions annually. They've built a mature AI/ML team over the past 18 months and are now scaling their GenAI capabilities from proof-of-concept to production-ready systems across the business. They're hiring an experienced Platform … experience in GenAI infrastructure - RAG, vector databases, LLM platforms, or agent frameworks. Strong communication skills and ability to translate technical decisions into business outcomes. This role is NOT an ML Engineering position - you won't be training models or building LLMs. It's focused on the platform layer that makes AI applications possible. If you're a platform-focused engineer More ❯

Hiring: Sr ML Engineer | Series B | On track for Unicorn Status 💷 Up to ~£115,000 🌍 London 🏢 Hybrid (1-2 day in the office. Days are not mandated) We’re partnering with a Series B scale up that is redefining how data and information is used in capital markets. They have grown to over 300 people, and are heavily investing in … their ML & AI product teams. The role: You'll join as a Sr ML Engineer, working on critical models and systems to their core product. These problems are centred around document extraction and information retrieval - think 400 page long PDFs, analysed at scale and extracted data is then ingested into their intelligence platform. What you’ll be working on: Design … and build ML applications tailored to complex financial and legal workflows, leveraging state-of-the-art models to deliver innovative, practical solutions that streamline decision-making and unlock new efficiencies. Drive and own end to end model development lifecycle Collaborate cross functionally to understand business problems, working with product teams. Stay abreast of ground-breaking research and approaches in advanced More ❯

Hiring: Sr ML Engineer | Series B | On track for Unicorn Status 💷 Up to ~£115,000 🌍 London 🏢 Hybrid (1-2 day in the office. Days are not mandated) We’re partnering with a Series B scale up that is redefining how data and information is used in capital markets. They have grown to over 300 people, and are heavily investing in … their ML & AI product teams. The role: You'll join as a Sr ML Engineer, working on critical models and systems to their core product. These problems are centred around document extraction and information retrieval - think 400 page long PDFs, analysed at scale and extracted data is then ingested into their intelligence platform. What you’ll be working on: Design … and build ML applications tailored to complex financial and legal workflows, leveraging state-of-the-art models to deliver innovative, practical solutions that streamline decision-making and unlock new efficiencies. Drive and own end to end model development lifecycle Collaborate cross functionally to understand business problems, working with product teams. Stay abreast of ground-breaking research and approaches in advanced More ❯

/3 days a week 6 month contract Inside of IR35 £750 - £800 per day My client is seeking a highly skilled software engineer to join its AI/ML team, contributing to the development of cutting-edge applications that accelerate drug discovery and enable personalised therapies. The ideal candidate will have strong Python backend development experience, preferably with FastAPI … DevOps practices, and automated testing. While a background in life sciences is a plus, a passion for improving healthcare through technology is essential. The role involves integrating AI/ML components into scalable web applications, collaborating across technical teams, and continuously improving software quality and performance. Key responsibilities Back end development for a Python web application Integration of AI/… ML components with frontend, backend, data and compute infrastructure Responsible for high quality software implementations according to best practices, including automated test suites and documentation Develop, measure, and monitor key metrics for all tools and services and consistently seek to iterate on and improve them Participate in code reviews, continuously improving personal standards as well as the wider team and More ❯

/3 days a week 6 month contract Inside of IR35 £750 - £800 per day My client is seeking a highly skilled software engineer to join its AI/ML team, contributing to the development of cutting-edge applications that accelerate drug discovery and enable personalised therapies. The ideal candidate will have strong Python backend development experience, preferably with FastAPI … DevOps practices, and automated testing. While a background in life sciences is a plus, a passion for improving healthcare through technology is essential. The role involves integrating AI/ML components into scalable web applications, collaborating across technical teams, and continuously improving software quality and performance. Key responsibilities Back end development for a Python web application Integration of AI/… ML components with frontend, backend, data and compute infrastructure Responsible for high quality software implementations according to best practices, including automated test suites and documentation Develop, measure, and monitor key metrics for all tools and services and consistently seek to iterate on and improve them Participate in code reviews, continuously improving personal standards as well as the wider team and More ❯

Business Product Owner, Data Analytics, Azure, Data Engineering, AI, ML, Azure, Mainly Remote Product Owner (Technical and Business) required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel is required (to London, Europe and the States on occasions. We need someone who has worked on LARGE and SIGNIFICANT … track, analyze, and interpret KPIs to guide product improvements and communicate results to stakeholders. Technical acumen: Solid understanding of modern data platforms, including experience with medallion architecture, AI/ML applications, and cloud-native infrastructures. Communication skills:Excellent communication skills for conveying technical concepts to various audiences, including engineers, business partners, and senior leadership. Collaboration and flexibility: Experience working with More ❯

Research Engineer (Data Infra/ML) London (Hybrid) Can you build & optimize distributed ML pipelines with Ray or Spark? Do you love speeding up cloud infra (Kubernetes, Docker, CI/CD)? Excited to build the data backbone for large-scale ML training? We're a tier 1 VC-backed start-up, developing hyper-realistic 3D simulations using AI. Our customers … performance data pipelines for multimodal datasets (3D, video, sensor). Optimize distributed training and processing across Spark, Databricks, and Kubernetes. Work with researchers to productionize PyTorch models and streamline ML workflows. Develop tools that make data discoverable, reusable, and reliable throughout the ML lifecycle. You Strong Python skills and experience with distributed systems (Ray, Spark, Flyte, Dask). Hands-on … distributed training (Ray, PyTorch DDP, Horovod). Familiar with dataset versioning and experiment tracking (DVC, MLflow). Bonus Points Experience in simulation, robotics, or autonomy pipelines. Background in deep learning (PyTorch) and 3D/sensor data (LIDAR, meshes, radiance fields). Open-source contributions or frontend/UI experience. More ❯

Research Engineer (Data Infra/ML) London (Hybrid) Can you build & optimize distributed ML pipelines with Ray or Spark? Do you love speeding up cloud infra (Kubernetes, Docker, CI/CD)? Excited to build the data backbone for large-scale ML training? We're a tier 1 VC-backed start-up, developing hyper-realistic 3D simulations using AI. Our customers … performance data pipelines for multimodal datasets (3D, video, sensor). Optimize distributed training and processing across Spark, Databricks, and Kubernetes. Work with researchers to productionize PyTorch models and streamline ML workflows. Develop tools that make data discoverable, reusable, and reliable throughout the ML lifecycle. You Strong Python skills and experience with distributed systems (Ray, Spark, Flyte, Dask). Hands-on … distributed training (Ray, PyTorch DDP, Horovod). Familiar with dataset versioning and experiment tracking (DVC, MLflow). Bonus Points Experience in simulation, robotics, or autonomy pipelines. Background in deep learning (PyTorch) and 3D/sensor data (LIDAR, meshes, radiance fields). Open-source contributions or frontend/UI experience. More ❯

re looking for: Proven hands-on experience in Agentic AI development and automation using Microsoft Copilot Studio and Microsoft Azure AI Foundry Understanding of data science concepts, AI/ML models, automation workflows, and agentic orchestration to enhance business processes Strong understanding of AI/ML models , orchestration workflows, and Power Platform concepts including Power Automate, Power Apps, and Dataverse … Experience tunning LLMs on Microsoft Azure ML Studio/Azure AI Foundry and applying Generative AI and prompt engineering techniques. Strong understanding of AI governance, observability, and compliance frameworks. Proven ability to deliver secure, scalable, and responsible AI solutions. Excellent communication and presentation skills. Extensive experience working collaboratively with diverse colleagues and stakeholders. More ❯

re looking for: Proven hands-on experience in Agentic AI development and automation using Microsoft Copilot Studio and Microsoft Azure AI Foundry Understanding of data science concepts, AI/ML models, automation workflows, and agentic orchestration to enhance business processes Strong understanding of AI/ML models , orchestration workflows, and Power Platform concepts including Power Automate, Power Apps, and Dataverse … Experience tunning LLMs on Microsoft Azure ML Studio/Azure AI Foundry and applying Generative AI and prompt engineering techniques. Strong understanding of AI governance, observability, and compliance frameworks. Proven ability to deliver secure, scalable, and responsible AI solutions. Excellent communication and presentation skills. Extensive experience working collaboratively with diverse colleagues and stakeholders. More ❯

A understand of Palantir would be a huge + Experience of completing projects to deadline. Experience in Deep Learning and DL frameworks such as Tensorflow/Pytroch Deploying ML models Good command of Python and use of libraries for data science – scikit-learn, NumPy, matplotlib Relation database experience with data manipulation skills in SQL and large “Big Data” environments. More ❯

A understand of Palantir would be a huge + Experience of completing projects to deadline. Experience in Deep Learning and DL frameworks such as Tensorflow/Pytroch Deploying ML models Good command of Python and use of libraries for data science – scikit-learn, NumPy, matplotlib Relation database experience with data manipulation skills in SQL and large “Big Data” environments. More ❯

to the CMO (also CIO/CPO), lead a small DS team, and work cross-functionally with product, tech, innovation, and local business units. Responsibilities Set the AI/ML roadmap Lead model development (personalisation, churn, pricing) Scale internal GenAI tools across markets Ensure compliance (GDPR, EU AI Act) Influence senior stakeholders incl. CMO, CTO, CEO Requirements 10+ years in … ML/DS, including senior leadership Hands-on background in model deployment Strong B2C experience (e.g. ecommerce, gaming, telco) MSc required; PhD optional Executive-level stakeholder management Exposure to GenAI and cloud ML stacks (Databricks, Azure, AWS) Pathway to Chief Data Officer Interested? Please apply below. More ❯

to the CMO (also CIO/CPO), lead a small DS team, and work cross-functionally with product, tech, innovation, and local business units. Responsibilities Set the AI/ML roadmap Lead model development (personalisation, churn, pricing) Scale internal GenAI tools across markets Ensure compliance (GDPR, EU AI Act) Influence senior stakeholders incl. CMO, CTO, CEO Requirements 10+ years in … ML/DS, including senior leadership Hands-on background in model deployment Strong B2C experience (e.g. ecommerce, gaming, telco) MSc required; PhD optional Executive-level stakeholder management Exposure to GenAI and cloud ML stacks (Databricks, Azure, AWS) Pathway to Chief Data Officer Interested? Please apply below. More ❯

/platform teams to align capabilities and avoid duplication. Design and implement secure, cost-aware, scalable systems using AWS services and Kubernetes. Contribute to best practices for AI/ML infrastructure and mentor junior engineers when needed. Work across organisational boundaries and champion modern engineering trends. Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling. More ❯

clients, solving complex challenges, enabling AI-powered cloud solutions, and driving transformation from strategy through to implementation. If you’re looking for a vibrant, forward-thinking environment with limitless learning opportunities, cutting-edge technologies, and a global network of experts, this is your next big career move. 🚀 What You’ll Do As an AWS Solutions Architect, you will: Partner … projects and build cloud-native applications that deliver measurable business value. Serve as a cloud evangelist, educating clients on how cloud can transform their operations. Collaborate with data scientists, ML engineers, and developers to deploy intelligent solutions. Optimize cost, performance, and security across AWS environments. Champion cloud best practices, architecture standards, and security frameworks. 💡 What You Bring 5+ years of … that: Celebrates innovation, diversity, and shared success. Provides world-class training and certification opportunities to help you grow. Connects you to a global network of cloud professionals and endless learning pathways. Rewards your impact with a competitive salary, 25 days’ vacation, private medical insurance, and a generous pension plan. We offer the flexibility and mobility you need to thrive More ❯

Do you want to design and lead AI strategy across a PE portfolio? Have you built and delivered AI/ML systems that directly impacted business outcomes? Are you ready to work with board-level leaders to define how AI transforms financial services? A specialist private equity firm is hiring a Principal or Director of Data & AI to lead strategic … deliver AI & data strategies across portfolio companies and internal teams Lead technical diligence on AI-readiness and opportunities during deal evaluation Build and deploy reusable LLM/AI/ML systems (agents, copilots, etc.) to unlock value Define governance frameworks across risk, explainability, audit, and compliance Own internal AI transformation—deploying tools, platforms, and training programmes Build and manage a More ❯