851 to 875 of 2,235 Machine Learning Jobs in London

or Amazon Redshift. Analytics: Tableau, Power BI, or Looker for client reporting. Big Data: Apache Spark or Hadoop for large-scale processing. AI/ML: TensorFlow or Databricks for predictive analytics. Integration Technologies: API Management: Apigee, AWS API Gateway, or MuleSoft. Middleware: Red Hat Fuse or Kafka for asynchronous communication. More ❯

deeply. Strive for excellence - We're ambitious and moving fast. The whole business is pushing to be a category defining legal tech company. Constantly learning and experimenting - We're at the cutting edge of using AI to directly improve people's lives. We take a blue-sky but pragmatic … etc) . Understanding of best practices in observability, monitoring, and debugging . Nice to Have Experience deploying machine learning models to production (ML Ops experience a plus). Experience with Vector Databases and AI Model Serving Prior Experience in Legal Tech - understanding of the legal industry and experience More ❯

and tie-ins secured, a large valuation already and top talent on board, this is one not to be missed! You’ll build the ML tools and infrastructure that allow researchers, scientists and pharma clients to deploy and scale foundation models/large medicine models effectively — no SaaS platform, just … world impact. What You’ll Do Work as part of a high performing team of academic, AI and technology specialists to integrate and scale ML models in hybrid environments (on-prem + AWS cloud). Own and improve ML infrastructure: model deployment, training pipelines, inference tooling. Diagnose and optimise performance … of large-scale ML models. Build and maintain experiment tracking, monitoring, and observability systems. Collaborate with SWE and infra colleagues to build tooling for data access, cleaning, and delivery. Contribute to the internal “toolbox” enabling repeatable, scalable ML deployment across client teams. Work closely with researchers and strategy teams to More ❯

and tie-ins secured, a large valuation already and top talent on board, this is one not to be missed! You’ll build the ML tools and infrastructure that allow researchers, scientists and pharma clients to deploy and scale foundation models/large medicine models effectively — no SaaS platform, just … world impact. What You’ll Do Work as part of a high performing team of academic, AI and technology specialists to integrate and scale ML models in hybrid environments (on-prem + AWS cloud). Own and improve ML infrastructure: model deployment, training pipelines, inference tooling. Diagnose and optimise performance … of large-scale ML models. Build and maintain experiment tracking, monitoring, and observability systems. Collaborate with SWE and infra colleagues to build tooling for data access, cleaning, and delivery. Contribute to the internal “toolbox” enabling repeatable, scalable ML deployment across client teams. Work closely with researchers and strategy teams to More ❯

teams at my client's company provide critical analysis for various departments, including Commercial, Marketing, Operations, and Product teams. They are committed to continuous learning and staying up-to-date with the latest developments in data analytics. What You'll Need: Extensive expertise in advanced analytics, including AI, machine learning, optimization, simulation, predictive analytics, and advanced statistical techniques. Proven experience in developing and implementing generative AI solutions and strategies. Exceptional problem-solving skills with the ability to break down complex problems and identify key performance drivers. Outstanding communication skills to effectively convey data insights to various functions More ❯

teams at my client's company provide critical analysis for various departments, including Commercial, Marketing, Operations, and Product teams. They are committed to continuous learning and staying up-to-date with the latest developments in data analytics. What You'll Need: Extensive expertise in advanced analytics, including AI, machine learning, optimization, simulation, predictive analytics, and advanced statistical techniques. Proven experience in developing and implementing generative AI solutions and strategies. Exceptional problem-solving skills with the ability to break down complex problems and identify key performance drivers. Outstanding communication skills to effectively convey data insights to various functions More ❯

athletes at any level to capture video, analyze data, share highlights and more. Ready to join us? Your Role We're looking for a ML Engineer II to join our Applied Machine Learning team and deliver new experiences and valuable insights to our coaches, athletes, and fans across … at scale to shape the future of sports, from professional teams to local high schools. Deliver for customers at scale. You'll contribute to ML models and systems on both cloud and edge environments, scaling to thousands of simultaneous sports matches. Collaborate. You'll work in a cross-functional team … drift monitoring), TensorRT, Nvidia DeepStream/Gstreamer, and AWS. A proven track record. You know how to focus on products, delivering impactful AI/ML products through close collaboration with partners. Strong communicator. You can easily and clearly express yourself. You're able to convey technical concepts and trade-offs More ❯

one of the world’s leading management consultancies. Based in London, you’ll work with global clients to solve complex problems using advanced analytics, machine … learning, and Generative AI. Key Responsibilities: Lead data science initiatives across banking, asset management, and insurance engagements Architect and deliver end-to-end ML/AI solutions for strategic client challenges Provide thought leadership on the application of GenAI in financial services Mentor junior data scientists and contribute to … including consultants, engineers, and domain experts Required Experience: 7+ years of data science experience, with significant exposure to financial services Proven track record delivering ML/AI solutions in complex, real-world environments Strong Python skills and experience with key ML libraries (e.g., scikit-learn, XGBoost, PyTorch) Exposure to Generative More ❯

one of the world’s leading management consultancies. Based in London, you’ll work with global clients to solve complex problems using advanced analytics, machine … learning, and Generative AI. Key Responsibilities: Lead data science initiatives across banking, asset management, and insurance engagements Architect and deliver end-to-end ML/AI solutions for strategic client challenges Provide thought leadership on the application of GenAI in financial services Mentor junior data scientists and contribute to … including consultants, engineers, and domain experts Required Experience: 7+ years of data science experience, with significant exposure to financial services Proven track record delivering ML/AI solutions in complex, real-world environments Strong Python skills and experience with key ML libraries (e.g., scikit-learn, XGBoost, PyTorch) Exposure to Generative More ❯

AI solutions Develop compelling product marketing materials that effectively communicate technical capabilities to non-technical audiences Stay at the forefront of emerging AI/ML technologies to ensure our solutions remain innovative and competitive Ensure all AI solutions adhere to data privacy regulations and security best practices, incorporating privacy-by … design principles throughout the development lifecycle Experience & Qualifications 5+ years of experience designing and implementing AI/ML solutions in enterprise software environments, with a proven track record of launching automation solutions and AI features in complex business contexts Strong understanding of machine learning algorithms, NLP, and LLMs … such as ReAct for building more effective autonomous agents for complex property management workflows and decision-making processes Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch), LLM orchestration tools (LangChain, LangGraph), MLOps practices and tooling (such as MLflow, Kubeflow, or similar), vector databases, and cloud platforms (AWS, Azure More ❯

a quantitative field such as Behavioural Science. Skills and Knowledge Analysis of structure, semi-structured and unstructured data. Programming - SQL, Python, R. AI/ML ethics. Understanding of Data Governance concepts and best practice. Quick understanding of business problems and requirements. A willingness to learn new skills and adapt to … SSRS, Power BI). Experience At least five years' experience of working as a Behavioural Scientist or equivalent role, in applying statistical models and machine learning algorithms to behaviour and health-related data sets. Experience and ability to respond to business needs by identifying appropriate statistical methodologies and More ❯

and/or industry specialist. What we look for: Experience, technical customer-facing and with a background in Data Science/Generative AI/Machine Learning/Data Warehousing or Data Engineering. You will be working in the following vertical sectors: Professional Business Services - Consultancy, Legal, etc UK More ❯

technical processes, including application, data, cloud, and infrastructure architecture disciplines. Hands-on experience with Python and/or Java programming. Fundamental understanding of AI, ML, and LLM concepts, terminology, and technology, preferably with practical experience. Understanding of databases and database technologies. Ability to independently address design and functionality challenges; self … Software Development Life Cycle. Preferred qualifications, capabilities, and skills Strong problem-solving and analytical skills. Experience with database technologies. Experience building, deploying, and managing Machine Learning models and lifecycle. Exposure to cloud technologies. About the Team J.P. Morgan is a global leader in financial services, providing strategic advice More ❯

solutions while mentoring a small team of developers. Collaborate closely with business stakeholders and cross-functional teams to translate needs into working solutions. Integrate machine learning models and data analytics into core systems to drive intelligent business decisions. Ensure high availability, performance, and maintainability of internal tools and …/NoSQL databases , APIs, and integration techniques. Comfortable with DevOps tooling – GitHub, CI/CD pipelines, cloud infrastructure. Exposure to data science , AI/ML integrations, and data-driven product development. Strong communication and collaboration skills with a proactive, solution-oriented mindset. Experience with enterprise application design and agile environments. More ❯

solutions while mentoring a small team of developers. Collaborate closely with business stakeholders and cross-functional teams to translate needs into working solutions. Integrate machine learning models and data analytics into core systems to drive intelligent business decisions. Ensure high availability, performance, and maintainability of internal tools and …/NoSQL databases , APIs, and integration techniques. Comfortable with DevOps tooling – GitHub, CI/CD pipelines, cloud infrastructure. Exposure to data science , AI/ML integrations, and data-driven product development. Strong communication and collaboration skills with a proactive, solution-oriented mindset. Experience with enterprise application design and agile environments. More ❯

and evolve the data platform using emerging technologies for performance, scale, and automation. Contribute to strategic planning around real-time data, advanced analytics, and machine learning enablement. Ensure your team delivers to a high standard, on time, and aligned with wider business priorities. Foster a culture of curiosity … capable of engaging both technical and non-technical stakeholders. Bonus Points If You Have: Exposure to streaming frameworks like Kafka or Kinesis. Experience building ML pipelines or supporting data science workflows. Familiarity with containers (Docker/Kubernetes) and infrastructure-as-code (Terraform, CloudFormation). Perks & Culture: This client rewards performance More ❯

and evolve the data platform using emerging technologies for performance, scale, and automation. Contribute to strategic planning around real-time data, advanced analytics, and machine learning enablement. Ensure your team delivers to a high standard, on time, and aligned with wider business priorities. Foster a culture of curiosity … capable of engaging both technical and non-technical stakeholders. Bonus Points If You Have: Exposure to streaming frameworks like Kafka or Kinesis. Experience building ML pipelines or supporting data science workflows. Familiarity with containers (Docker/Kubernetes) and infrastructure-as-code (Terraform, CloudFormation). Perks & Culture: This client rewards performance More ❯

analytical applications. They work on components and services for HPC infrastructure optimization, hardware IP management systems, petabyte-scale cloud data platforms and development of machine learning solutions and pipelines. This role will lead a team of about 20 software developers working on a portfolio of software products and … completion. Stay updated with the latest industry trends and technologies to drive continuous improvement and innovation. Build a culture of collaboration, accountability, and continuous learning within the team. What do we want to see? The ideal candidate will be able to demonstrate some of the following skills: 14+ years More ❯

engineering and development, and a strong understanding of computer systems and how they operate. Excellent Python programming skills, including experience with relevant analytical and machine learning libraries (e.g., pandas, polars, numpy, sklearn, TensorFlow/Keras, PyTorch, etc.), in addition to visualization and API libraries (matplotlib, plotly, streamlit, Flask … 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 More ❯

frameworks, data governance, and regulatory requirements related to data privacy and security in the insurance industry. Familiarity with advanced data analytics techniques, statistical modelling, machine learning algorithms, and data visualization tools. Strong leadership and team management skills, with the ability to inspire and guide a team of data … Re culture, and we are committed to our Diversity & Inclusion Policy. We also seek to provide a fair and supportive work environment which provides learning and development opportunities for all. Working together, we are an employer of choice by building the workforce for today and the future. We make More ❯

and proposing and implementing their mitigations) Modelling, structuring and storing data along with their data flows for uses including - but not limited to - analytics, machine learning, data mining, compliance, business intelligence, sharing with applications and organisations Harvesting and ingesting structured and unstructured data in different formats and standards More ❯

. SC Cleared an advantage but not necessary. Experience in technical customer-facing roles with a background in Data Science/Generative AI/Machine Learning/Data Warehousing or Data Engineering. Develop customer relationships and build internal partnerships with account executives and teams. Prior experience with coding More ❯

deliver insights that shape strategic decisions and operational excellence. Key Responsibilities Advanced Data Analytics and Predictive Modeling Develop and implement sophisticated statistical models and machine learning algorithms to forecast trends, predict outcomes, and identify opportunities for performance enhancement. Utilize advanced analytics techniques such as regression analysis, time series More ❯

Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake SQL REST API Advanced Analytics: Databricks (AI & Machine Learning) Governance & Infrastructure: Centralised Data Catalogue & Access Control (Okta) Job Scheduling & Monitoring (AWS, Splunk) Agile Data Engineering with centralised code repositories BI Data More ❯

fast-growing tech company in the Life Science space, who are speeding up the drug discovery phases, by using the latest innovations in Python, ML and AI techniques/Job Description: We're looking for a passionate Mid-Level Python Developer (Python/Django) with 3+ years of experience. This More ❯