601 to 625 of 2,929 Machine Learning Jobs in London

deliver actionable insights on product performance, customer behavior, and market trends Present findings clearly and persuasively, using effective visualizations Work with data engineers, machine learning engineers, and dashboard developers to automate and optimize business processes Identify new opportunities to improve business outcomes using data Required Qualifications, Capabilities … team Excellent written and verbal communication skills in English Preferred Qualifications, Capabilities, and Skills: Strong problem-solving skills and sound business judgment Familiarity with machine learning #ICB #ICBEngineering #J-18808-Ljbffr ...

profit research organization in Greater London is seeking a Machine Learning Engineer to develop innovative models for drug discovery involving intrinsically disordered proteins. This role includes enhancing data processing capabilities, deploying models, and collaborating with experimental teams. Candidates should have an MSc or PhD, experience in machine learning, and strong programming skills, particularly in Python. Attractive perks include extensive holiday and a pension scheme. #J-18808-Ljbffr ...

Integrating our high‐ and low‐frequency systems for more optimal trading Re‐architecting systems to provide a seamless path from research to production for machine‐learning models Enabling large‐scale distributed training of machine‐learning models Contributing back to open‐source projects Ideal Candidate Deliver high ...

York. In this role, youll make an impact in the following ways: Design, build and deliver enterprise-grade AI-driven solutions, including machine learning and generative AI capabilities, to solve meaningful business problems and accelerate innovation. Work closely with Product, Sales, Trading and Operations stakeholders to translate business … successful in this role, were seeking the following: Strong experience designing, building and delivering scalable technology solutions in Enterprise environments. Experience in machine learning or generative AI use cases, with the ability to apply these technologies to meaningful business problems. Strong understanding of how AI can be embedded ...

York. In this role, you'll make an impact in the following ways: Design, build and deliver enterprise-grade AI-driven solutions, including machine learning and generative AI capabilities, to solve meaningful business problems and accelerate innovation. Work closely with Product, Sales, Trading and Operations stakeholders to translate … successful in this role, we're seeking the following: Strong experience designing, building and delivering scalable technology solutions in Enterprise environments. Experience in machine learning or generative AI use cases, with the ability to apply these technologies to meaningful business problems. Strong understanding ...

York. In this role, you'll make an impact in the following ways: Design, build and deliver enterprise-grade AI-driven solutions, including machine learning and generative AI capabilities, to solve meaningful business problems and accelerate innovation. Work closely with Product, Sales, Trading and Operations stakeholders to translate … successful in this role, we're seeking the following: Strong experience designing, building and delivering scalable technology solutions in Enterprise environments. Experience in machine learning or generative AI use cases, with the ability to apply these technologies to meaningful business problems. Strong understanding ...

insurance. Excited to make an impact? Here are the details You’ll be joining our Pricing and Underwriting domain to bridge the gap between machine learning/data science and engineering. You will help build, publish, and maintain our complex data products and pipelines — key elements with … Code (IaC) Nice-to-Have Hands-on experience with: Data Quality Data Governance techniques Knowledge of: MLOps Feature Engineering Exposure to data analysis and ML tools such as: scikit-learn pandas NumPy XGBoost LightGBM Familiarity with orchestration tools: Apache Oozie Apache Airflow Why you’ll love it here We want ...

Labs is a seed-stage startup that started out of the UCL Machine Learning lab. We bootstrapped to 10 people, and now we're on the next leg of growth. AI can generate almost any form of media, but it still can't judge what captures human attention. … platforms is growing fast, every creative workflow will be agent-assisted or fully agentic. Our work is improving how models reason about creative decisions, learning from how audiences respond to content. The role You'll own our self-serve product, the productisation of our creative harness. This role ...

beneath enterprise performance management. You'll shape how EPM platforms stitch together with the modern data platforms finance now runs on, and how machine learning and generative AI make planning and forecasting sharper, faster and more trusted. You'll build real credibility across both finance planning … including predictive forecasting and generative or agentic use cases; familiarity with SQL, APIs and modern data‐integration technologies, and some exposure to Python or ML platforms (deep engineering isn't required); relevant EPM, cloud‐data or AI certifications; and a professional finance or accounting qualification (ACA, ACCA, CIMA or equivalent ...

performance guidelines and evaluation methods. Share knowledge through workshops, technical reviews and project retrospectives. Monitor trends in generative AI, neural rendering, procedural content generation, machine learning for deformation and physics, digital humans and real-time graphics, assessing their practical value for AAA asset and animation production. … lifecycle, from initial modelling and rigging, through version control and validation, to engine integration, performance profiling and runtime optimisation. Strong interest in generative AI, machine learning and intelligent automation, especially as applied to asset generation, asset optimisation, auto-rigging, motion synthesis, deformation prediction and physics simulation. Ability ...

Data, Analytics and AI organisation of Arrive. The Data Science Products team ingests billions of complex sensor data points daily to produce advanced machine learning products that help millions of drivers park or charge electric vehicles. For example, we predict the availability of parking in cities across … services with high confidence and zero downtime. Advance Data Capabilities : Lead the hands-on development of platform enhancements, such as establishing feature stores for machine learning and building automated data monitoring systems to ensure data integrity and model reproducibility. Scale AI Practices : Lead the adoption of AI throughout ...

simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. … execution of algorithmic approaches to commercial problems. Managing data science or engineering activity via both people management and technical leadership. Experience developing industrialised machine learning applications and services. Understanding the importance of market compliance and core regulatory requirements. Understanding of what it takes to build a good engineering ...

will prepare data, test analytical approaches, help develop prototypes and communicate what the results mean. You will gain exposure to the consulting process, learning how to turn complex client questions into practical analyses and communicate findings to a range of audiences. What you will do Work with data scientists … data and appropriate outputs. Clean, combine and explore datasets, write clear Python and document your assumptions and checks. Build and compare straightforward statistical or machine learning models, use suitable baselines and help evaluate accuracy, limitations and potential bias. Contribute to prototypes using methods suited to the problem, including ...

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques … real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts ...

seeking a skilled and motivated Computer Vision Engineer to join our team. In this role, you will bridge the gap between high-level machine learning research and high-performance production environments. You will be responsible for building robust SDKs, automating deployment pipelines, and ensuring our models run efficiently … performance software development kits (SDKs) to expose computer vision capabilities to end-users and internal products. Model Deployment and Integration Port, convert, and deploy machine learning models across various hardware targets, including Qualcomm SoCs, Intel CPUs, and NVIDIA GPUs. Performance Optimization Use hardware-specific toolkits to optimize model ...

semantic models, self-service analytics enablement and reporting rationalisation. Applied AI – Microsoft 365 Copilot, Copilot Studio and agents, Azure AI/OpenAI services, machine learning and use-case discovery, pilot and scale programmes. AI governance and responsible AI – policy, guardrails, risk, and alignment to UK regulatory expectations … agentic AI Knowledge of applied AI and its commercial application – Microsoft 365 Copilot, Copilot Studio/agents, Azure AI and OpenAI services, and machine learning use cases Working knowledge of the UK regulatory and compliance environment as it applies to data and AI – UK GDPR and the Data ...

semantic models, self-service analytics enablement and reporting rationalisation. Applied AI – Microsoft 365 Copilot, Copilot Studio and agents, Azure AI/OpenAI services, machine learning use‐case discovery, pilot and scale programmes. AI governance and responsible AI – policy, guardrails, risk, and alignment to UK regulatory expectations (UK GDPR … agentic AI. Knowledge of applied AI and its commercial application – Microsoft 365 Copilot, Copilot Studio/agents, Azure AI and OpenAI services, and machine learning use cases. Working knowledge of the UK regulatory and compliance environment as it applies to data and AI – UK GDPR and the Data ...

About this position About SynMax, Inc. SynMax is a geospatial intelligence company. We fuse multi-sensor satellite imagery with signals, vessel-tracking and proprietary machine learning models, and apply trained analysts to produce finished intelligence on activity in low-transparency environments across the maritime and energy domains. … equivalent cloud data platforms. Experience with geospatial tooling and libraries (e.g., QGIS, GDAL, GeoPandas). Experience with PyTorch, scikit-learn, or similar ML frameworks. Background in maritime, defense, intelligence, or energy domains. #J-18808-Ljbffr ...

Junior AI Engineer/Machine Learning Engineer - no experience needed From £40,000 - £65,000 This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back Train. Certify. Get Hired. AI is expected to generate 170 million jobs ...

inconsistencies for deeper review. You’ll experiment with improvements to your workflows as model capabilities improve and work with our product, engineering and applied machine learning teams to improve the tools you use. Your work will identify software risks and evidence gaps so Scarlet can reach rigorous certification … documentation submitted by our customers Screen and action regulatory insights from the latest research, standards and guidance Work with our product, engineering and applied machine learning teams to improve our systems Work with our market access team to expand Scarlet's responsibility to new jurisdictions and certifications Create ...

management in a regulated environment. Help shape the Microsoft Azure and Databricks data science environment, including the organisation's approach to deploying and managing machine-learning models. Develop practical AI and external data strategies, prioritising opportunities supported by clear business cases. Build and develop the internal data science … diligence discussions by articulating the organisation's capability, progress, governance and future roadmap. Skills and Experience Significant, demonstrable experience in data science, machine learning, predictive modelling or a closely related discipline. Deep practical expertise across the complete model lifecycle, from data preparation and development through to deployment ...

data governance and privacy; transparency and explainability; and accountability. A key aspect of the role is translating these principles into practical guidance, governance frameworks, learning programmes and deployment standards, helping build a shared understanding of what Responsible AI means for AVEVA, our customers and our stakeholders. Responsible deployment … processes that product and engineering teams can adopt. You will partner closely with our Product, Enterprise IT, Security, Sustainability, Legal, Risk and Talent and Learning teams, while remaining accountable for responsible deployment in policy design, stakeholder engagement, and enterprise learning enablement. Key Responsibilities Responsible AI Governance, Operationalisation & Enablement ...

data governance and privacy; transparency and explainability; and accountability. A key aspect of the role is translating these principles into practical guidance, governance frameworks, learning programmes and deployment standards, helping build a shared understanding of what Responsible AI means for AVEVA, our customers and our stakeholders. Responsible deployment … processes that product and engineering teams can adopt. You will partner closely with our Product, Enterprise IT, Security, Sustainability, Legal, Risk and Talent and Learning teams, while remaining accountable for responsible deployment in **policy design, stakeholder engagement, and enterprise learning enablement**. **Key Responsibilities**1/Responsible ...

datasets to guide our embodied AI roadmap. What We're Looking For Exceptional software engineering skills with a proven track record of shipping complex ML systems into production. Strong background in 3D scene understanding and the design of efficient spatial data structures. Deep experience in machine learning … with large models (VLMs, transformers, or multi-modal architectures). Proficiency in PyTorch and hands‐on experience building, fine‐tuning, and deploying large‐scale ML systems. High‐impact individual contributor capable of taking projects from conceptual research to high‐performance robot code. Comfortable working in a fast‐moving, research‐driven ...

pipelines and reusable data assets using Microsoft Fabric and Databricks. Designing scalable lakehouse data models and governed datasets. Conducting exploratory data analysis and developing machine learning models. Applying NLP, entity resolution and information extraction techniques to document-heavy datasets. Deploying analytical solutions into production through APIs, pipelines … skills, with strong PySpark experience Hands-on expertise with Microsoft Fabric and Databricks. Experience building production-grade data pipelines, reusable data assets and machine learning solutions. Experience communicating technical concepts and business impact to non-technical stakeholders. Experience with Git, testing frameworks, APIs and CI/CD practices. ...