401 to 425 of 1,452 Machine Learning Jobs in London

our solutions remain competitive yet sustainable. Requirements: Proven experience as a Senior Software Engineer or similar role. Strong expertise in AWS services, particularly Amazon Lex and other AI/ML services. Proficiency in TypeScript and modern JavaScript frameworks. Solid understanding of DevOps methodologies and tools (e.g., CI/CD, Serverless, Monitoring). Experience with contact centre technologies and integrations. Excellent More ❯

Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive More ❯

Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive More ❯

Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive More ❯

Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive More ❯

Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive More ❯

Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive More ❯

with clients in industries such as finance, automotive, or technology is advantageous. Previous experience consulting, working as a freelancer or within an agency environment. Familiarity with building AI/ML features. To apply for this role please email with your CV and links to any other appropriate references e.g. Github. Thank you. You're closer than you think Start your More ❯

Qualifications needed for this role: Extensive experiencein platform engineering, with a strong emphasis on Azure-based data solutions. Expert-level knowledgeof Azure services, including Data Factory, Data Lake, Azure ML, and Power BI/Fabric. Proven experiencewith infrastructure-as-code using Terraform and building CI/CD pipelines via Azure DevOps and GitHub Actions. Strong grasp of observability practices, including More ❯

A commitment to autonomy, ownership, and delivering high-quality solutions. Openness to giving and receiving constructive feedback. About this role We are seeking a Machine Learning Operations (ML Ops) Engineer to contribute to the development of cutting-edge AI solutions for legal contract analysis. You will be part of our growing ML team, working closely with our ML … operations tailored to our unique legal evaluation needs. Establish automated pipelines that streamline the training, fine-tuning, and deployment processes, ensuring continuous model improvement and adaptation. Collaborate closely with ML and NLP teams to integrate the latest techniques, rigorous evaluation metrics, and industry best practices into the training workflow. Implement proactive monitoring and maintenance protocols to quickly identify and address … Python with hands-on experience using Flask, along with a willingness to explore and adapt to new frameworks when necessary. A robust background in deploying, maintaining, and fine-tuning ML models, with a focus on developing automated evaluation and load balancing frameworks. Demonstrated experience in working with large language models (LLMs) and establishing continuous auto-evaluation pipelines. For example, you More ❯

story. We're looking for exceptional talent to join our mission. We offer a chance to create impact in a high-energy and connected culture, while benefiting from continuous learning opportunities, a supportive community which is proud to serve our mission … and comprehensive benefits. Your Mission You will be part of a joint team of machine learning engineers, data scientists, data analysts, and product managers building and evolving ML models, real-time systems, reports, and performing deep analysis of pricing, retention, and offer strategies. Working with advanced predictive models, MLOps best practices, and scalable software systems, you will implement … with the success of our customers. In this role, you'll be: Helping Teya to use data to drive business decisions by implementing and continuously improving through experimentation advanced machine learning models. Working on projects including but not limited to customer lifetime value, churn propensity, forecasting, risk, cost-to-serve and cost-to-acquire modelling Building predictive models More ❯

analytics team using a number of big data technologies to produce complex behavioural models, customer uptake product analysis and new product innovation. Provide data driven analysis via statistical, quantitative, machine learning, programmatic and heuristic methods. Relate statistical and other analytical results to real world problems and explain the results to non-technical clients and colleagues. Heavy use of … abilities but also have what it takes to discern the hidden patterns and signals within the markets. Company: OPUS (Rec.) Qualifications: Useful skills to possess: Commercial data science experience Machine learning SQL Msc or PhD preferred in either of the following areas, statistics, physics, mathematics, Computer Science or Engineering Creating customer segmentation models knowledge of SAS Data Mining More ❯

Research Engineer, Machine Learning (Horizons) London, UK About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build … beneficial AI systems. About the role: As a Research Engineer on the Reinforcement Learning Fundamentals team, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models through fundamental research in reinforcement learning, improving reasoning abilities in areas such as code generation and mathematics, and exploring reinforcement learning for agentic/open-ended tasks. Representative projects: Develop and implement novel reinforcement learning techniques to improve the performance and safety of large language models. Create tools and environments for models to interact with, enabling them to perform complex, open-ended tasks. Design and run experiments to enhance models' reasoning capabilities, particularly in code generation and mathematics. You More ❯

Software Development Manager- Finance AI and ML Dev, PXT Finance - ML Forecasting and Core Engineering Amazon Finance Tech team leads innovation to combine data-driven finance with the AI approach driving accuracy, next gen forecasting capabilities, speed, efficiency, and reliability by exploring new techniques in ML and AI and building full stack services in AWS. This AI-First Finance builders … team will lead AI Application Architecture, designs for predicting outcomes, forecasting values with high degree of automation and ML Ops for existing science pipelines and frameworks. The SDM for this team will lead a group of sr developers to deliver front end and backend solutions with GenAI-assisted software development builder tools and workflows to generate & optimize code, build tests … serve APIs, automate ML and Stats training and development pipelines and build orchestrations to serve with continuous evaluation and model training. In this position you will collaborate with scientists, product leaders, platform builders and finance leaders to create best-in-class AI/ML model training environments, diving very deep into ML frameworks, challenge core assumptions and successfully execute in More ❯

Are you a curious and driven AI/ML enthusiast ready to transform commercial strategy with data science? We’re looking for an AI/ML Analyst - Pricing & Commercial Strategy to join our dynamic team and play a pivotal role in shaping smarter pricing, deal governance, and business performance through cutting-edge machine learning. In this hands-on role … experience, this is your chance to grow alongside a forward-thinking team that’s redefining how data powers business success. What’s in it for you? Impactful AI/ML Projects: Build models for pricing optimisation, customer segmentation, and deal prioritisation that drive real business outcomes. Cross-Functional Collaboration: Work with sales, finance, and pricing teams to translate models into … What We’re Looking For: 2–4 years of experience in data science, machine learning, or commercial/pricing analytics. Proficiency in Python/R, SQL , and ML libraries (e.g., scikit-learn, TensorFlow, XGBoost). Experience with data visualisation tools (Tableau, Power BI) and statistical methods. Ability to communicate insights clearly to non-technical stakeholders. Passion for applying More ❯

Are you a curious and driven AI/ML enthusiast ready to transform commercial strategy with data science? We’re looking for an AI/ML Analyst - Pricing & Commercial Strategy to join our dynamic team and play a pivotal role in shaping smarter pricing, deal governance, and business performance through cutting-edge machine learning. In this hands-on role … experience, this is your chance to grow alongside a forward-thinking team that’s redefining how data powers business success. What’s in it for you? Impactful AI/ML Projects: Build models for pricing optimisation, customer segmentation, and deal prioritisation that drive real business outcomes. Cross-Functional Collaboration: Work with sales, finance, and pricing teams to translate models into … What We’re Looking For: 2–4 years of experience in data science, machine learning, or commercial/pricing analytics. Proficiency in Python/R, SQL , and ML libraries (e.g., scikit-learn, TensorFlow, XGBoost). Experience with data visualisation tools (Tableau, Power BI) and statistical methods. Ability to communicate insights clearly to non-technical stakeholders. Passion for applying More ❯

UKI AWS Specialists organization as a Generative AI and Machine Learning Specialist Seller! AWS is seeking an exceptional sales and business development leader specializing in AI/ML solutions for enterprise customers across the United Kingdom. Key job responsibilities - Lead the AWS AI Business for your assigned verticals and sub-industries, across UKI. - Accelerate customer adoption by defining … sales, pre-sales or business development in software, cloud or SaaS markets selling to senior stakeholders and/or C-level executives or equivalent - 2+ years of GenAI/ML business development/Sales/GTM/SA - Extensive Domain knowledge of AI from a business level perspective - Exceptional communication skills - Experience in account management with solution Sales skills, product … management experience. - Experience working with Data Scientist, AI Developers and Machine Learning professionals. - Bachelor's degree PREFERRED QUALIFICATIONS - Experience with AWS AI/ML services (SageMaker, Bedrock, Amazon Q, etc.) - Entrepreneurship/startup experience - Experience speaking at conferences and events - Experience in consulting or working for large, complex organizations - Master's degree or equivalent in Innovation/Artificial More ❯

Senior AI/ML Consultant Application Deadline: 16 July 2025 Department: Analytics Employment Type: Permanent Location: London/Leeds/Birmingham Reporting To: Head of Analytics Compensation: circa £68,000 Description Contract type: Permanent Hours: Full Time, 37.5 hours per week Salary: circa £68,000 depending on experience Location: London, Leeds, or Birmingham offices WFH policy: Employees are required to … Analytics Deadline Note: We reserve the right to close the advert before the advertised deadline if there are a high volume of applications. Role Summary: The Senior AI/ML Consultant plays a pivotal role in defining and developing LCCC's internal AI and machine learning capabilities. Focused on delivering practical, secure, and ethical solutions, the role will … drive innovation that enhances operational efficiency and aligns with LCCC's wider digital strategy. Working directly with business teams, the Senior AI/ML Consultant identifies high-impact opportunities, shapes scalable AI and automation solutions, and leads cross-functional delivery. They own the full solution lifecycle - from problem definition and stakeholder engagement to product strategy, development, and adoption. Acting as More ❯

eligibility highly desirable Work Pattern: Full-time (37 hours/week) | Hybrid | Flexible Interview Process: One-stage, face-to-face with technical presentation Are you an experienced AI/ML researcher with a passion for applying cutting-edge techniques to real-world, high-impact challenges? Do you thrive in intellectually rigorous, collaborative environments where your research leads to operational outcomes … of the Information Technology & Geospatial (ITG) team-a 35-person unit of scientists and product engineers working across: Machine Learning & Statistical Signal Processing NLP, Knowledge Representation, & Graph ML Geospatial Technology & Distributed Systems Autonomy, Reinforcement Learning, & Edge AI The team operates within a larger Advanced Technology division , known for pioneering next-generation AI/ML capabilities for high … trust domains such as defence, space, and cyber. What You'll Do Lead applied research in AI/ML, with a focus on sequential data and complex decision-making Develop novel algorithms and prototypes in Python using frameworks such as PyTorch, TensorFlow, and scikit-learn Mentor junior scientists and contribute to team-wide technical strategy Deliver technical reports, presentations, and More ❯

teams, you will own the vision, strategy, and execution for the foundational services of the product. Your primary objective is to drive the evolution of cloud-native infrastructure and machine learning capabilities to support scalability, innovation, and new product features. The Technical Environment: You will be responsible for roadmaps concerning a modern, evolving tech stack, including: Cloud Infrastructure … as Code ( Terraform ), and monitoring frameworks to improve deployment frequency and system reliability. Key Technical Responsibilities: Define and execute the product roadmaps for the core Platform and AI/ML teams, aligning them with business goals and the needs of other product squads. Act as the primary technical product partner for other Product Managers, ensuring the platform's capabilities are … cloud technologies, specifically AWS , and system architecture design. Deep understanding of microservices , Docker , security best practices, DevOps principles, CI/CD , and system monitoring. Direct experience with AI/ML products, including MLOps and the productization of machine learning models (both traditional and generative). Proven ability to bridge business and technical perspectives to make informed trade-offs More ❯

teams, you will own the vision, strategy, and execution for the foundational services of the product. Your primary objective is to drive the evolution of cloud-native infrastructure and machine learning capabilities to support scalability, innovation, and new product features. The Technical Environment: You will be responsible for roadmaps concerning a modern, evolving tech stack, including: Cloud Infrastructure … as Code ( Terraform ), and monitoring frameworks to improve deployment frequency and system reliability. Key Technical Responsibilities: Define and execute the product roadmaps for the core Platform and AI/ML teams, aligning them with business goals and the needs of other product squads. Act as the primary technical product partner for other Product Managers, ensuring the platform's capabilities are … cloud technologies, specifically AWS , and system architecture design. Deep understanding of microservices , Docker , security best practices, DevOps principles, CI/CD , and system monitoring. Direct experience with AI/ML products, including MLOps and the productization of machine learning models (both traditional and generative). Proven ability to bridge business and technical perspectives to make informed trade-offs More ❯

Role - Principal Consultant Technology - Analytics, AI, ML, Data Governance Location - London, UK Compensation - Competitive (including bonus) Job Description Position Overview Lead data-driven business transformation initiatives leveraging advanced analytics, AI, and machine learning to optimize operations, drive strategic insights, and deliver measurable business outcomes through intelligent automation and data modernization. Key Responsibilities Data Strategy & Analytics Implementation •Design and … execute enterprise data strategies to create unified data architectures •Advise on advanced analytics solutions including predictive modeling, machine learning, and AI algorithms … Develop data governance frameworks and establish data quality standards •Create self-service analytics capabilities and democratize data access across organizations AI & Machine Learning Integration •Identify AI/ML opportunities to automate processes and enhance decision-making •Advise on implementation of intelligent automation solutions using RPA, NLP, and computer vision Change Management •Develop and execute change management plans to More ❯

build, and deliver end-to-end robotic systems. Our team is also responsible for core infrastructure and tools that serve as the backbone of our robotic applications, enabling roboticists, machine learning scientists, software engineers, and hardware engineers to collaborate and deploy systems in the field. Key job responsibilities • Research, design, implement and evaluate complex perception, motion planning, and … decision making algorithms integrating across multiple disciplines and leveraging machine learning. • Create experiments and prototype implementations of new learning algorithms and prediction techniques. • Work closely with software engineering team members to drive scalable, real-time implementations. • Collaborate with machine learning and robotic controls experts to implement and deploy algorithms, such as machine learning models. … but not limited to tracking, object recognition, visual SLAM, motion prediction, reconstruction) - Machine learning (e.g. reinforcement learning, supervised learning, Bayesian methods, online learning systems, ML for robotics) BASIC QUALIFICATIONS - PhD in engineering, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience in patents or publications at top-tier More ❯

opportunity to help shape how the world’s biggest brands put the right products in the hands of the right customers. If you're passionate about building robust, scalable machine … learning solutions and applying advanced statistical methods to real-world retail problems, this role offers both impact and innovation at scale. 🚀 What You’ll Do: Research and build ML-driven solutions using techniques like clustering, regularised regression, NLP, and neural networks. Develop science modules that are deployed globally across client accounts. Dive into high-dimensional retail data to uncover … Computer Science, Machine Learning, AI, Statistics, Physics, Engineering, or a related field. Strong Python skills; Spark, SQL, and experience with large datasets is a plus. Proficiency with ML libraries (e.g. Scikit-learn, Pandas) and data visualisation tools. Curiosity and ambition to push the boundaries of data science in a commercial setting. Experience in retail or customer-focused analytics More ❯

opportunity to help shape how the world’s biggest brands put the right products in the hands of the right customers. If you're passionate about building robust, scalable machine … learning solutions and applying advanced statistical methods to real-world retail problems, this role offers both impact and innovation at scale. 🚀 What You’ll Do: Research and build ML-driven solutions using techniques like clustering, regularised regression, NLP, and neural networks. Develop science modules that are deployed globally across client accounts. Dive into high-dimensional retail data to uncover … Computer Science, Machine Learning, AI, Statistics, Physics, Engineering, or a related field. Strong Python skills; Spark, SQL, and experience with large datasets is a plus. Proficiency with ML libraries (e.g. Scikit-learn, Pandas) and data visualisation tools. Curiosity and ambition to push the boundaries of data science in a commercial setting. Experience in retail or customer-focused analytics More ❯