526 to 550 of 2,937 Machine Learning Jobs in London

marketplace efficiency, partner ROI, and revenue growth Own ad relevance initiatives that enhance the quality and personalization of sponsored listings for travelers Partner with machine learning and engineering teams to design, implement and optimise auction algorithms that balance traveler experience, partner value, and business objectives Define success metrics … digital advertising, marketplace platforms, or auction-based systems Proven track record of launching and scaling technical products that drive meaningful business outcomes Experience with machine learning applications, preferably in advertising or marketplace optimization Strong analytical skills with experience using data to inform product decisions and measure success Proficient ...

scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer varied learning opportunities and varied career pathways for those driven to achieve exceptional results through collective … effort. Minimum qualifications: Master's degree in computer science, mathematics, applied statistics, machine learning or equivalent practical experience. Experience of TensorFlow or ML frameworks (e.g. JAX or PyTorch). Experience working in industry, working on projects from proof-of-concept through to implementation. Experience with training diffusion models. ...

Senior Data Engineer, you will play a key role in building and maintaining production‐ready data and machine‐learning systems that support critical business decisions. You’ll work acrossthe full lifecycle, from engaging with stakeholders and shaping data/model outputs, to deploying and maintaining real‐time services … using IaC tools like Terraform Building, improving and maintaining monitoring systems to track model performance, infrastructure health and ensure reliability, scalability, and security of ML systems Develop CICD processes to help automateworkflows using tools like Azure DevOps Write high‐quality, well‐tested Python for production‐grade data pipelines and services. ...

prior experience on Oracle applications, with focus on designing and implementing AI solutions based on Oracle. Proven experience delivering data platform, analytics, AI or machine learning projects using Oracle technologies. Strong technical experience across Oracle Cloud Infrastructure (OCI), Oracle Autonomous Database, Oracle Database, Oracle Data Integration, GoldenGate, Oracle … Autonomous Database Oracle Data Integration Oracle GoldenGate Oracle Analytics Cloud (OAC) Oracle Data Intelligence OCI Data Science OCI AI Services OCI Generative AI Oracle Machine Learning (OML) Oracle Vector Search Oracle Exadata OCI Landing Zone Oracle Integration Cloud (OIC) #J-18808-Ljbffr ...

culture of innovation and creative thinking to build modern robust systems. Effectively meeting the demands of our challenging mandate requires a passion for learning as well as deep understanding and experience across a wide array of technical competencies. Bachelor/master’s degree in computer science or a closely … commercial insights and drive system improvements. Familiarity with automated testing, DevOps, and Continuous Deployment practices. Demonstrated interest in using and incorporating AI tooling and machine learning into development workflows. At Goldman Sachs, our Engineers don't just make things â“ we make things possible. Change the world ...

growth - from credit risk and customer retention to personalised recommendations. You’ll become Raylo’s technical and strategic leader on: The cutting edge of ML and AI model development, applying the very best of what’s possible to Raylo’s hardest problems. Collaborating with teams across the business, to identify … Reporting to the VP of Strategy & Analytics, you’ll define and lead Raylo’s data science function, deploying cutting edge AI and ML to solve Raylo’s hardest problems You’ll own end-to-end design, build and deployment of production-grade machine learning models - from credit risk ...

consultancy to find a Data Science Consultant with a strong focus on the Energy & Utilities sectors. In this role, you will apply advanced analytics, machine learning, and mathematical modeling to help major energy providers, utility networks, and public sector organizations drive evidence based decision making. You will work … analytics lifecyclefrom problem formulation and exploratory data analysis to model design, testing, and deployment. Sector-Focused Problem Solving: Apply advanced analytics, OR models, and machine learning to address critical challenges across energy, utilities, and sustainability. Client Translation: Translate complex business requirements into analytical solutions, effectively communicating technical methodologies ...

inform team technical decisions Document designs, implementation details, and tradeoffs to support maintainability and knowledge sharing Support scalability, reliability, and security of AI and machine learning solutions in production, with a focus on operational readiness and sustainability Partner with operations stakeholders to understand workflow pain points and translate … technical audiences Collaborate effectively on multi-disciplinary teams and incorporate feedback into your work Preferred Qualifications, Capabilities, and Skills Apply AI and machine learning concepts with a strong interest in applied AI productization Bring experience from academic work, projects, internships, or roles applying AI in finance, operations, markets ...

Title: Prototype Engineer -Python -Machine Learning -SQL -Design and develop rapid prototypes and PoCs using Python for data-driven and AI/ML use cases. -Build, train, evaluate, and fine-tune machine learning models for structured and unstructured data. -Perform data analysis, feature engineering, and experimentation … extraction, transformation, and analysis from relational databases. -Integrate prototypes with APIs, data pipelines, and visualization tools when required. -Translate business problems into analytical and ML solutions. -Collaborate with cross-functional teams to refine requirements and iterate on prototypes. -Ability to work independently and manage multiple tasks simultaneously. -Flexibility to adapt ...

diagrams to explain a data processing system on a cloud environment. Some knowledge of how you would present diagrams (C4, UML, etc.) Enthusiasm for learning and self‐development. You have experience of working on agile delivery‐lead projects and can apply agile practices such as Scrum, XP, Kanban. … engineers using a variety of techniques such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Working with data scientists ...

collaborating closely with architects, AI specialists and client stakeholders. You'll play a key role in delivering production-grade data platforms that support analytics, machine learning and AI workloads across industries including financial services, retail and the public sector. Alongside client delivery, you'll contribute to engineering best … scalability and cost efficiency. Collaborate with architects and customers to translate business requirements into production-ready data solutions. Support integration with downstream analytics, BI, machine learning and AI workloads. Contribute to CI/CD pipelines, deployment automation and infrastructure-as-code practices. What We're Looking For Essential ...

customer base. The Scam Prevention team is on the front lines, dedicated to safeguarding our platform against sophisticated financial crime. We leverage cutting-edge machine learning, real-time transaction monitoring, and advanced data analysis to create robust controls and detection capabilities. Our vision is to build a globally … relational databases* Query optimisation* Resilient schema design* Test Driven Development* Problem-solving* Communication skills* Machine learning lifecycle* Data pipelines* Feature engineering* Deploying ML systems #J-18808-Ljbffr ...

Model Design and wider Data Office and CDO support functions Data Science and Information Analysis - Working with our clients to design build and integrate Machine Learning and AI solutions into their core business platforms and processes to drive greater insight and increased process efficiency and automation. We also … architecture with financial regulations (e.g., GDPR, Basel III, MiFID II). Drive adoption of Delta Lake , Apache Spark , and MLflow for advanced analytics and machine learning use cases. Provide technical leadership and mentoring to data engineers and analysts across financial domains such as risk, trading, and compliance. Establish ...

Model Design and wider Data Office and CDO support functions Data Science and Information Analysis - Working with our clients to design build and integrate Machine Learning and AI solutions into their core business platforms and processes to drive greater insight and increased process efficiency and automation. We also … architecture with financial regulations (e.g., GDPR, Basel III, MiFID II). Drive adoption of Delta Lake , Apache Spark , and MLflow for advanced analytics and machine learning use cases. Provide technical leadership and mentoring to data engineers and analysts across financial domains such as risk, trading, and compliance. Establish ...

Role Title: Senior Pre-Sales Engineer – Applied ML/HPC Reports to: Head of Solutions Architecture Location: Central London, Hybrid Employment Type: Full Time About ORCA ORCA Computing, headquartered in London, UK, and with an office in the United States, is a developer of full-stack photonic quantum computing systems. … system diagrams clearly Proven ability to build and operate technical demos, prototypes or PoCs, including presenting them to technical stakeholders Experience with AI/ML, HPC, distributed systems, or scientific computing environments, including an understanding of performance, scaling and system architecture Strong programming skills in Python, with familiarity with ML ...

seeking a Principal Machine Learning Scientist to lead the core discovery engine for ranking, retrieval, and recommendations. You will define the ML strategy, build scalable systems, and mentor a high-performing team across machine learning, MLOps, and experimentation. You will drive multi-task models, graph-aware ...

with team members and promote a culture of security awarenessAI-Enabled Security Capabilities (Product Delivery Model):Identify, prioritise and deliver artificial intelligence (AI) and machine learning use cases that measurably improve security outcomes – for example vulnerability prioritisation, control assurance and evidence gathering.Own AI-enabled security capabilities as products …/Azure), incident response, and governance.Hands-on experience with SIEM, EDR, vulnerability management tools, and cloud-native security services.Demonstrable experience applying artificial intelligence (AI), machine learning or large language models (LLMs) to security use cases, with evidence of delivered outcomes rather than experimentation alone.Experience working in a product ...

team members and promote a culture of security awareness AI-Enabled Security Capabilities (Product Delivery Model): Identify, prioritise and deliver artificial intelligence (AI) and machine learning use cases that measurably improve security outcomes – for example vulnerability prioritisation, control assurance and evidence gathering. Own AI-enabled security capabilities … incident response, and governance. Hands-on experience with SIEM, EDR, vulnerability management tools, and cloud-native security services. Demonstrable experience applying artificial intelligence (AI), machine learning or large language models (LLMs) to security use cases, with evidence of delivered outcomes rather than experimentation alone. Experience working ...

surface patterns, gaps, anomalies and data-quality issues, and identify opportunities for analysis, modelling or product use. Develop, compare and validate appropriate statistical and machine-learning models for classification, ranking, recommendation, forecasting, anomaly detection, similarity or extraction problems. Use NLP, embeddings and LLM-assisted techniques responsibly for classification … data assets and useful analytical models in Microsoft Fabric and Databricks. Advanced Python, SQL and PySpark, including experience with data transformation, analysis and common machine-learning libraries. Hands-on experience designing and operating scalable data pipelines, lakehouse data models, Delta and SQL transformations, and data-quality controls ...

bias towards flexibility and impact Willingness to pick up slack, even if it goes outside your job description Desire to learn more about machine learning systems and infrastructure Thrive in environments where technical excellence directly drives both business results and research breakthroughs Care about the societal impacts … your work Preferred qualifications Significant experience with high-performance, large-scale distributed systems Experience implementing and deploying machine learning systems at scale Experience building load balancing, request routing, or traffic management systems Familiarity with LLM inference optimization, batching, and caching strategies Deep experience operating Kubernetes and cloud infrastructure ...

existing and emerging technologies to solve client problems, e.g., our teams advise, build, and use artificial intelligence (AI) and machine learning (ML) to assist our clients, and we are now using generative AI (GenAI) as well to reshape the data investigation process. Build and maintain relationships with clients ...

does a great Ash conversation look like, and how do you measure it? Reporting to our Clinical R&D Lead and partnering closely our ML conversation team lead, you'll own the definition of quality for Ash's conversations and turn it into something the ML team can train … teach people what "great" looks like, and keep the group calibrated with each other. Be a source of clarity for the conversation and ML teams when the path forward is ambiguous. About you You have a PhD in Clinical or Counseling Psychology, or related field, or a license-eligible Masters ...

Build your core technical skills through hands-on experience and team support Deliver data science projects that involve the development, assessment and deployment of machine learning models and writing of high-quality code Learn and apply open-source tools and technology, alongside WTW's own proprietary insurance technology … solutions, used widely by the insurance market Grow through structured early-career training and ongoing learning from subject matter experts in the team This is the perfect opportunity to understand what you could expect if you joined our graduate programme the following year. We have many examples ...

Role Own and develop the MLOps infrastructure supporting AI services. Build and maintain orchestration pipelines using Dagster, Airflow, or Prefect. Deploy and manage ML workloads on Kubernetes and cloud platforms. Implement CI/CD, observability, and monitoring across production systems. Develop infrastructure using Terraform, Bicep, or similar IaC tools. Work … closely with Data Scientists, ML Engineers, and AI teams to scale deployments. Your Skills & Experience Strong Python software engineering skills. Commercial MLOps experience in production environments. Hands-on Kubernetes expertise. Experience with workflow orchestration platforms. Infrastructure as Code and CI/CD experience. Understanding of production ML ...

developing cutting‐edge AI technologies that will transform how people manage their time, tasks, and daily lives. Key Responsibilities: Lead research initiatives in machine learning, natural language processing, and AI to enhance our suite of productivity tools. Develop novel algorithms and models to improve task automation, predictive scheduling … thought leader in Application AI. Mentor junior researchers and foster a culture of innovation within the team. Qualifications: PhD in Computer Science, Machine Learning, or a related field. 5+ years of experience in AI research, with a focus on applications in productivity tools or similar domains. Strong publication ...