1,601 to 1,625 of 1,810 Machine Learning Jobs in London

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 ❯

will collaborate with design and user research to gather feedback, ensuring our platform meets both technical and user needs. If you are passionate about building next-generation AI/ML products, thrive in a fast-paced Agile environment, and excel at collaborating with engineers to solve complex problems, then this role is for you. Responsibilities Work closely with software engineering … experience as a software engineer, SRE/DevOps engineer, or similar technical role is highly valued and will help deeply engage with the engineering team. Familiarity with AI/ML infrastructure or HPC (high-performance computing) environments. Understanding of GPU computing, cloud computing services, or data centre operations is a plus. Experience working at a startup or in a rapidly More ❯

will collaborate with design and user research to gather feedback, ensuring our platform meets both technical and user needs. If you are passionate about building next-generation AI/ML products, thrive in a fast-paced Agile environment, and excel at collaborating with engineers to solve complex problems, then this role is for you. Responsibilities Work closely with software engineering … experience as a software engineer, SRE/DevOps engineer, or similar technical role is highly valued and will help deeply engage with the engineering team. Familiarity with AI/ML infrastructure or HPC (high-performance computing) environments. Understanding of GPU computing, cloud computing services, or data centre operations is a plus. Experience working at a startup or in a rapidly 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 ❯

application. Experience and Qualifications Strong Python development background (5+ years preferred), with solid experience in Django and Django REST Framework. Proven track record of building and deploying AI/ML-powered applications in production environments. Proficiency with async and streaming APIs, enabling efficient real-time data processing and low-latency AI service delivery in microservices (Django, FastAPI, Flask, or similar … experience with AI-assisted development tools such as Cursor, Claude Code, Codex, and GitHub Copilot for technical analysis, code generation and code review. Hands-on experience with AI/ML frameworks (PyTorch, TensorFlow, HuggingFace) and LLM orchestration tools (LangChain, LangGraph, or similar) Experience deploying ML models using containerised solutions (Docker, Kubernetes) and frameworks like BentoML or equivalent. Familiarity with vector … family members with discounted gym membership, optical, dental and private GP Enhanced parental leave Life insurance (4x salary) Employee assistance program Company volunteering day and charity salary sacrifice scheme Learning management system powered by Udemy Referral bonus and charity donation if someone you introduce joins the company Season ticket loan, Cycle to work, Electric vehicle and Techscheme programs Pension More ❯

. The role This Software Engineer AI role will be involved in implementing solutions that integrate with Agentic AI systems and AI workflows and must have a passion for learning and developing AI skills to solve customer use cases. The role will also support the development of deterministic software solutions using other technologies as applicable. As a Software Engineer … at Xceptor, you will contribute to the development of our platform by writing clean, maintainable code and learning from experienced engineers. You'll collaborate with cross-functional teams to deliver high-quality software and continuously grow your technical skills. This is a great opportunity to grow your career in a fast-paced, innovative environment where learning and development … in C#/Python software development (.NET Framework). Degree in a STEM subject or equivalent practical experience. Basic understanding of SQL and database programming. Interest in AI/ML, REST APIs, Docker, .NET Core, and microservices is a plus. Logical and analytical problem-solving skills. Eagerness to learn and take ownership of tasks. Good communication skills and willingness to 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 ❯

s working, what's not, and what to test next. Translate raw data into board-level insights - clear, concise, commercially relevant, and rooted in rigorous analysis. Leverage AI/ML tools (e.g. LLMs, RAG, clustering, regression) to build smarter internal tools and identify untapped growth levers. Design, implement, and interpret A/B tests and experiments that directly inform roadmap … day each year after 2 years tenure). Private medical insurance for you and your family with Vitality. Company pension contribution. Access to professional development resources and opportunities. Annual Learning & Development budget to support your professional growth. Monthly social budget to enjoy team activities and build connections. The Finish Line: If you are an experienced Senior Product Analyst with More ❯

implement the best AI tools and techniques that will drive real impact. Collaborate and share knowledge: Make AI accessible to your teammates by sharing knowledge, fostering a culture of learning, and empowering others to contribute to AI-driven projects. You'll help others grow their skills and contribute to AI initiatives. Push the boundaries of what's possible: Always … AWS), infrastructure as code (Terraform), CI/CD pipelines (GitLab), and containerization (Docker). Strong Python programming skills: Strong programming skills in Python, including its ecosystem for AI/ML, with experience using libraries such as PyTorch, Hugging Face Transformers, scikit-learn, and TensorFlow to build and implement AI-driven solutions. Product mindset: Ability to think from the user's More ❯

implement the best AI tools and techniques that will drive real impact. Collaborate and share knowledge: Make AI accessible to your teammates by sharing knowledge, fostering a culture of learning, and empowering others to contribute to AI-driven projects. You'll help others grow their skills and contribute to AI initiatives. Push the boundaries of what's possible: Always … AWS), infrastructure as code (Terraform), CI/CD pipelines (GitLab), and containerization (Docker). Strong Python programming skills: Strong programming skills in Python, including its ecosystem for AI/ML, with experience using libraries such as PyTorch, Hugging Face Transformers, scikit-learn, and TensorFlow to build and implement AI-driven solutions. Product mindset: Ability to think from the user's More ❯

level skills in software and Infrastructure as Code (IaC) engineering, gained through hands-on development experience. Key areas of proficiency include: Programming Languages: Python, Java and Go. AI/ML: prompt engineering, LLMs, RAG, Semantic Search, Vector Databases, etc Behavior-Driven Development (BDD) Testing: Cucumber, JBehave, Pytest-BDD, etc. CI/CD (Continuous Integration/Continuous Delivery) pipelines : Harness, Tekton … annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Visit ourGlobal Benefitspage to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their More ❯

solutions on AWS. You'll work closely with cross-functional teams including Data Science, BI, and Product Analytics to develop cloud-native, scalable data infrastructure powering advanced analytics and machine learning. As a Senior Engineer, you'll not only deliver code — you'll take ownership, lead small teams, mentor others, and contribute to shaping our engineering culture and best … Incentive scheme up to 10% of annual salary , based on company performance. Your wellbeing is paramount so you can get away and take 33 Days Holiday per year . Learning and Development opportunity with Holland & Barrett is a great base for career development long term. Private Medical Care (Self after 1 year) Career progression. Refer and Earn Scheme - as More ❯

and APIs, directly fueling our cutting-edge agentic AI with terabytes of real-world supply chain data. You will be instrumental in shaping solutions for enterprise clients, all while learning and growing your AI skills in a truly AI-first company at the forefront of agentic systems. Tasks What You'll Do Design & build scalable backend services and data … fast. Champion observability & reliability -instrument services with OpenTelemetry, define SLIs/SLOs, and automate incident response. Contribute across the stack -build lightweight front-ends when needed and pair with ML engineers on inference and evaluation pipelines. Requirements You Might Be a Great Fit if You Have 4+ years of professional software-engineering experience. Are fluent in Python and comfortable in More ❯

and deliver world-class data systems. What you will be doing Team Leadership & Strategy Lead, mentor, and develop a high performing team of Data Engineers, fostering a culture of learning, excellence, and ownership. Define and execute the data engineering roadmap aligned with Zego's business goals. Collaborate closely with leaders in Engineering, Analytics, Product and Insurance Pricing to ensure … business priorities and constraints Nice to have Experience building Data Mesh or Data Lake architectures. Familiarity with Kubernetes, Docker, and real-time streaming (e.g. Kafka, Kinesis). Exposure to ML engineering pipelines or MLOps frameworks. What's it like to work at Zego? Joining Zego is a career-defining move. People go further here, reaching their full potential to achieve More ❯

and deliver world-class data systems. What you will be doing Team Leadership & Strategy Lead, mentor, and develop a high performing team of Data Engineers, fostering a culture of learning, excellence, and ownership. Define and execute the data engineering roadmap aligned with Zegos business goals. Collaborate closely with leaders in Engineering, Analytics, Product and Insurance Pricing to ensure alignment … business priorities and constraints Nice to have Experience building Data Mesh or Data Lake architectures. Familiarity with Kubernetes, Docker, and real-time streaming (e.g. Kafka, Kinesis). Exposure to ML engineering pipelines or MLOps frameworks. Whats it like to work at Zego? Joining Zego is a career-defining move. People go further here, reaching their full potential to achieve extraordinary More ❯

individuals willing to ask the big questions and experiment fearlessly - those who embrace change not as a challenge, but as an opportunity. The future belongs to those who keep learning, and we are building it together. At Diligent, youre not just building the future - youre an agent of positive change, joining a global community on a mission to make … to work collaboratively in cross-functional teams Detail-oriented with a proactive approach to problem-solving Experience working with major cloud platforms (e.g., AWS, Azure) Understanding of AI/ML concepts related to security (e.g. anomaly detection, model evaluation) Preferred Experience/Skills: Certifications in IAM and security domains (e.g., CISSP, CISM) Knowledge of advanced security practices and emerging threats More ❯

primitives Knowledge of various programming and scripting languages such as BASH, Perl, and Python Working with tools like profiler, gdb, and strace for debugging Proven experience with AI/ML technologies and a strong enthusiasm for building intelligent systems What Will Make You Stand Out: Development experience with high-performance, scalable backup and restore solutions, distributed environments, optimizing concurrency, data … for the next day and wrap up tasks. Key Points: Expect consistent communication via Slack, Zoom, and Jira. Active participation in the team's rituals is a must. Continuous learning and problem-solving are core to the role. Flexible work hours around potentially prescheduled team syncs or customer meetings. We dont hire you, so we tell you exactly what More ❯

the product and operations teams to solve real business problems fast - with full autonomy and a mandate to make things happen. Important: This is not an academic AI/ML role. You won't be building LLMs from scratch. Instead, you'll use off-the-shelf models, prompt engineering, and smart automation to drive outcomes. Main responsibilities: Data Engineering Maintain … experience with GCP (BigQuery, Vertex AI, Cloud Run) Strong SQL complex querying Python for analytics, backend logic, and model prototyping Familiarity with LLM APIs , prompt engineering , embeddings , and traditional ML (e.g. XGBoost , scikit-learn ) Comfortable deploying tools using Docker , Flask/FastAPI , and GCP services Ability to work independently and iterate quickly toward high-quality outcomes Full-stack data capability … from pipelines to dashboards to AI-powered APIs Hands-on, impact-driven, and solution-oriented approach Experience applying existing ML/LLM tools to automate or enhance workflows Ability to thrive in lean teams and take full ownership of the data domain Desired experience: Experience with Metabase and dbt Familiarity with manufacturing, logistics, or supplier operations Experience building internal agents More ❯