1,251 to 1,275 of 1,439 Machine Learning Jobs in London

You'll need a degree in mechanical or aerospace engineering combined with commercial work experience in engineering data analysis using modelling tools such as Power BI, advanced Excel and ML CV not ready? No problem, just call, text or email me - I'll always get back to you More ❯

huge energy + data problems 🧠 What you’ll do: Lead product strategy for their demand response platform Collaborate closely with users, engineering, and leadership Ship rapid iterations across optimisation, ML, and infra Keen to chat with PMs who care about climate, data, and building from 0→1. Reach out if you'd like to hear more More ❯

freely within pre-recorded content, delivering cinematic-quality visuals without cybersickness, placing viewers inside the experience rather than watching from the outside. Requirements: Strong grasp of modern AI/ML techniques (e.g. differentiable rendering, backprop in 3D pipelines)Solid mathematical foundationPyTorch or TensorFlowPythonC/C++ and CUDA2+ years' AI development experience Experience with or passion for 3D graphics and visual More ❯

freely within pre-recorded content, delivering cinematic-quality visuals without cybersickness, placing viewers inside the experience rather than watching from the outside. Requirements: Strong grasp of modern AI/ML techniques (e.g. differentiable rendering, backprop in 3D pipelines)Solid mathematical foundationPyTorch or TensorFlowPythonC/C++ and CUDA2+ years' AI development experience Experience with or passion for 3D graphics and visual More ❯

of best practices within the data management function. Provide leadership of a data management function and management of resource planning and team development. Would have a good understanding of ML/AI to drive process efficiencies. To Apply If you feel you are a suitable candidate and would like to work for a leading data management company, please do not More ❯

have experience working in a startup or are really drawn to the zero-to-one phase) Value working with people who arekind,ambitiousandpragmatic Have an interest in AI/ML (direct experience not required) Thrive in a fast-paced environment with evolving requirements and priorities About the opportunity We are living in the most exciting time for tool builders sinceEngelbart More ❯

Python, PySpark) and frameworks. Expertise in relational and dimensional modeling, including big data technologies. Proficiency in Microsoft Azure components like Azure Data Factory, Data Lake, SQL, DataBricks, HD Insights, ML Service. Good knowledge of Python and Spark. Experience in ETL & ELT processes. Understanding of cloud analytics and ML Ops. Azure Infrastructure and Azure DevOps experience is a plus. Ability to … work with global teams and contribute to architecture discussions. Skills: Data Ops, ML Ops Deep expertise in Azure Databricks, ETL frameworks Fractal is an equal opportunity employer committed to diversity and inclusion. We prohibit discrimination and harassment of any kind. If you enjoy growth and working with enthusiastic professionals, join us! Not the right fit now? Express your interest for More ❯

using AI-powered tools and frameworks Develop POCs that demonstrate how AI can streamline content creation, campaign management, reporting, and media production workflows. Build custom AI solutions using AI & ML frameworks, and cloud technologies Implement workflow automation using low-code/no-code platforms when applicable Create API integrations between marketing tools, CRM systems, and content management platforms using MCP … automation platforms, and Marketing Tech developments WHAT WE ARE LOOKING FOR Degree in Computer Science, Data Science, Engineering, or related technical field 2+ years of experience in AI/ML development with a focus on practical applications Strong proficiency in Python and relevant AI libraries (TensorFlow, PyTorch, Hugging Face) Hands-on experience with workflow automation platforms like N8N, AirTable, and … parents. Social and Cultural Events, plenty of opportunities to connect with colleagues through organised activities and celebrations. Inspirational Talks, bringing the outside in with regular guest speakers and events. Learning and Development, supporting your growth with continuous opportunities to learn and advance. Buddy Programme: You will be paired with a 'Buddy' to help you through your first weeks' at More ❯

join their growing Data Engineering ream. Why You'll Love This Role: Tech at Scale : Work with hundreds of millions of data points daily, using distributed systems and advanced machine learning. Award-Winning Product : Recognised globally for innovation in AI. Remote-First Culture : Work from anywhere in the UK, with flexible hours and full autonomy, or the option to … with Scala and Java, and support tooling in Python Design low-latency APIs and asynchronous processes for high-volume data. Collaborate with Data Science and Engineering teams to deploy ML models. Use Gen AI tools to accelerate development and improve code quality. Contribute to the development of Gen AI agents in-product. Apply best practices in distributed computing, TDD, and More ❯

mission is to build technology platform enablers that accelerate value delivery with higher quality whilst reducing cognitive load for our customer-facing data & AI engineering teams. About our Data & ML team Data & AI powers our growth and innovation. We build enterprise platforms to create actionable insight enabling colleagues to make effective decisions and create proactive, automated, hyper-personalised experiences for … the business within Marketing, Finance, Operations and Product teams. Our AI photo services are at the heart of our consumer experience and we're expanding our footprint towards decentralised ML adoption within the business. As a team, we have come together through mergers. We are at the end of a phase of simplification of legacy infrastructure and moving into the More ❯

future reporting needs in collaboration with business units. Engage with stakeholders to ensure reporting solutions align with business goals. Apply Agile project management principles to deliver iterative improvements. Support ML metadata extraction and integration into reporting workflows. Use scripting languages (e.g., DAX, M, Python, PowerShell) to support data transformation and automation. Qualifications Minimum 3 years of industry experience in a … Agile methodologies and tools (e.g., Jira, Azure DevOps). Excellent communication and stakeholder management skills. Ability to work both independently and collaboratively in a hybrid work environment. Experience with ML metadata extraction and scripting languages is a plus. Experience in the procurement or supply chain industry is a nice to have. Bachelor's degree in Computer Science, Information Systems, or More ❯

future reporting needs in collaboration with business units. Engage with stakeholders to ensure reporting solutions align with business goals. Apply Agile project management principles to deliver iterative improvements. Support ML metadata extraction and integration into reporting workflows. Use scripting languages (e.g., DAX, M, Python, PowerShell) to support data transformation and automation. Qualifications Minimum 3 years of industry experience in a … Agile methodologies and tools (e.g., Jira, Azure DevOps). Excellent communication and stakeholder management skills. Ability to work both independently and collaboratively in a hybrid work environment. Experience with ML metadata extraction and scripting languages is a plus. Experience in the procurement or supply chain industry is a nice to have. Bachelor's degree in Computer Science, Information Systems, or More ❯

technical excellence? I'm partnering with a well-loved consumer tech business that brings joy and storytelling into people's lives-and they're now scaling their data and ML platform to support the next phase of growth. This is a chance to be at the forefront of a data transformation journey-owning architectural direction, mentoring engineers, and shaping a … the team Mentor data and analytics engineers to raise the technical bar Balance near-term delivery with long-term platform health and innovation Collaborate across teams-product managers, analysts, ML engineers, and more What You'll Bring Extensive experience designing and building modern data platforms Strong skills in Python , SQL , and tools like DBT , Airflow , Fivetran Expertise in cloud services More ❯

and strategies, review systems implementation, and advise on cybersecurity processes and systems quality. Digital Transformation and Project Management: Lead digital transformation initiatives, leveraging cloud technologies, microservices, and AI/ML frameworks to enhance operational efficiency and customer experience. Manage and deliver complex technology projects on time and within budget, ensuring high-quality outcomes. Data Management and Analytics: Implement data governance … the shipping industry, including data analytics platforms. Hands-on experience with a variety of technologies such as Microservices, .NET Core, Angular, React, Node, Java, Azure/AWS/Docker, ML/AI frameworks, NoSQL, blockchain, and semantic technologies. Preferred qualifications, capabilities and skills: Strong problem-solving skills and the ability to resolve complex technology and business issues. Excellent interpersonal, written More ❯

Senior Delivery Consultant - AI/ML , ASEAN Professional Services Job ID: Amazon Web Services Singapore Private Limited The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their … architecture and implementation - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience - 5+ years of experience with direct customer (internal or external) interaction with responsibilities in ML solutions design, architecture and implementation - 3+ years of experience in the industry as a ML practitioner - A minimum of 3 years working experience in ASEAN region, and ability to travel … e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) - AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred - 3+ years Technical experience preferred, knowledge of AI/ML Technology stack of AWS and Generative AI trends, patterns, anti-patterns - Industry experience with key vertical markets such as Financial Sector, Telecom, and Retail. - AWS Experience and Certifications, including implementation More ❯

Senior ML & AI Backend Developer You'll lead the design and deployment of scalable backend systems powering ML, big data, and LLM-driven applications. From MLOps pipelines and big data engineering to productionizing classical ML and LLMs, you'll be at the core of AI infrastructure. Key Requirements: Expert in Python, ML/AI frameworks (PyTorch, TensorFlow, Hugging Face) Proven More ❯

Product Employment Type: Permanent Location: London, UK Description We are seeking a dynamic and visionary leader to join our team as Sr. Director/VP of Data Strategy and ML/AI . This role is responsible for shaping and driving our enterprise-wide data strategy-leveraging data as a strategic asset to deliver actionable insights, enable innovation through ML … Engineering, Operations, Finance, and Compliance. You will be the steward of our data ecosystem, championing a culture of data excellence, insight-led decision making, measurable business outcomes, and embedded ML/AI capabilities. What that means day to day Architecture & Platform Leadership: - Architect a unified and scalable enterprise data platform supporting structured and unstructured data. - Build a modern Data Lakehouse … self-service analytics across teams. - Collaborate with BI, Engineering, and business stakeholders to enhance analytics delivery. - Leverage cloud platforms and modern pipeline tooling (e.g., Snowflake, Databricks, Azure, AWS). ML/AI Strategy & Execution: - Lead the design and deployment of scalable ML/AI capabilities on top of the data infrastructure to enhance our applications and business processes. - Deliver high More ❯

death, giving people back the time and space to focus on what matters most. The mission of the Head of Technology is to help Settld scale its automation and machine learning to the next level. The candidate has led and delivered at least 1 tech project before (ideally within a startup environment), keeps a keen eye on Security More ❯

strategy IC role expanding into leadership of US team Collaboration with the biggest global gaming apps and publishers Easy to sell product with huge growth opportunities THE COMPANY: True Machine Learning proprietary technology Very strong supply partnerships Over 100% year on year growth Profitable business International business with multiple global locations High values focused company SKILLS & EXPERIENCE: Strong More ❯

A global leader in mobile advertising and gaming is looking for a Sales Director to lead the new business growth across UK&I and EU markets. THE COMPANY: True Machine Learning proprietary technology Technology seen as the 'next generation' in mobile advertising Over 100% YoY growth Highly profitable business Huge client list with most of the biggest gaming More ❯

identifying performance improvements and control gaps, specifying, developing, back testing and prototyping quant models, performing liquidity analysis and provisioning, working Develop and execute robust validation framework for AI/ML models, including generative AI, nature language processing and deep learning models. 5+ years of experience in quantitative analytics includi We are looking for an experienced quantitative analyst with a … financial modeling and analytics? Join a dynamic team where you'll build models to assess risk profiles, collaborate on strategic initiatives, and enhance your skills in Python, R, and machine learning. Embrace a hybrid-remote work environment and make impactful decisions in a thriving financial setting. We are looking for a skilled analyst to enhance model risk management through More ❯

excellence. Play a hands-on role in resolving support issues, rolling out enhancements, and continuously improving employee engagement technologies. Act as a strategic thought partner in applying AI/ML capabilities to employee experience systems, driving automation and intelligent insights. You May be a Good Fit if: Holds a Bachelors or Masters degree in Computer Science, Engineering, or a related … and PolicyTech platforms. Experience supporting or managing risk types such as information security, compliance, operational risk, financial crimes, or technology risk in enterprise environments. Ability to introduce AI/ML solutions to enhance productivity and compliance monitoring within employee engagement systems. History of leading vulnerability management, issue remediation, and exception handling within a governance framework. Strong documentation and policy development … culture and compliance. Why Choose Fitch: Hybrid Work Environment: 2 to 3 days a week in office required based on your line of business and location A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity Investing in Your Future: Retirement planning More ❯

paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment … high-context, ambiguous environment You are a power user of AI development tools and have a mindset for building AI-augmented workflows Desirable Experience building tools for technical users (ML, robotics, infrastructure) Experience with scientific data visualisation or complex data interfaces Experience with large-scale job orchestration frameworks such as Flyte, Spark or similar. Knowledge of GraphQL, Prisma, Kafka, or … modern cloud infrastructure (Azure, GCP, or AWS) Experiencing Data lake tools (e.g. Databricks) Exposure to AI/ML model development workflows and data tooling This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and More ❯

with business goals. Drive Impact: Identify and prioritise high-value use cases involving GenAI, LLMs, RPA, and intelligent agents. Deliver Solutions: Oversee the development and deployment of AI/ML models into production systems. Collaborate Cross-Functionally: Partner with product, engineering, operations, and business units to scale AI capabilities. Promote Ethical AI: Advocate for responsible AI practices in line with … external AI platform vendors and partners. Stay Ahead: Keep ClearCourse at the forefront of GenAI, MLOps, RPA, and regulatory trends. What You’ll Bring: Essential: Proven experience leading AI, ML, or automation initiatives in a digital or tech-driven organisation Strong knowledge of GenAI, NLP, LLMs, RPA, and their business applications Hands-on experience with AI platforms and tools (e.g. … OpenAI, Azure ML, Vertex AI, UiPath) Excellent stakeholder engagement and communication skills Analytical and commercially focused mindset—able to identify and quantify impact Desirable: Technical background in data science, engineering, or computer science Understanding of AI ethics and governance frameworks (e.g. ISO 42001, UK AI regulations) Experience in agile, cross-functional delivery teams Exposure to enterprise digital transformation or change More ❯

with business goals. Drive Impact: Identify and prioritise high-value use cases involving GenAI, LLMs, RPA, and intelligent agents. Deliver Solutions: Oversee the development and deployment of AI/ML models into production systems. Collaborate Cross-Functionally: Partner with product, engineering, operations, and business units to scale AI capabilities. Promote Ethical AI: Advocate for responsible AI practices in line with … with external AI platform vendors and partners. Stay Ahead: Keep ClearCourse at the forefront of GenAI, MLOps, RPA, and regulatory trends. What You'll Bring: Proven experience leading AI, ML, or automation initiatives in a digital or tech-driven organisation Strong knowledge of GenAI, NLP, LLMs, RPA, and their business applications Hands-on experience with AI platforms and tools (e.g. … OpenAI, Azure ML, Vertex AI, UiPath) Excellent stakeholder engagement and communication skills Analytical and commercially focused mindset-able to identify and quantify impact Technical background in data science, engineering, or computer science Understanding of AI ethics and governance frameworks (e.g. ISO 42001, UK AI regulations) Experience in agile, cross-functional delivery teams Exposure to enterprise digital transformation or change management More ❯