201 to 225 of 515 Machine Learning Jobs in London

Databases, Cosmos DB, Redis, and Elasticsearch for efficient data storage and retrieval. Demonstrate proficiency in programming languages including Python, Spark, Databricks, Pyspark, SQL, and ML Algorithms. Implement Machine Learning models and algorithms using Pyspark, Scikit Learn, and other relevant tools. Manage Azure DevOps, CI/CD pipelines, GitHub … and Kubernetes (AKS) for efficient software development and deployment. Implement ML/OPS solutions using Azure ML, Databricks MLFlow, and LLMOps for streamlined Machine Learning operations. Ensure data governance and data cataloging standards are maintained, utilizing tools such as Collibra and Talend Data Catalogue. Collaborate with stakeholders to … Data Lake, Azure Data Factory, Microservices architecture. Experience with Vector Databases, Cosmos DB, Redis, Elasticsearch. Strong programming skills in Python, Spark, Databricks, Pyspark, SQL, ML Algorithms, Gen AI. Knowledge of Azure DevOps, CI/CD pipelines, GitHub, Kubernetes (AKS). Experience with ML/OPS tools such as Azure ML more »

Liquidity Group operates globally with offices in Tel-Aviv, Abu Dhabi, New York, London, Singapore, Tokyo, Mumbai, Boston & San Francisco. The firm’s patented machine learning and decision science technology enables it to deploy more capital through more deals faster than any firm in capital markets history, establishing … leading end-to-end deal cycles, while gaining exposure to a variety of different products and client verticals. As a Director, you'll spearhead machine-learning-assisted growth funding initiatives within our globally expanding team. The position offers oversight of the entire deal cycle, providing exposure to diverse … to raise capital, you’ll be enabling tech companies to fulfill their growth potential. You will: Lead the end-to-end deal cycle, leveraging machine-learning tools to drive efficient and effective growth funding solutions Structure deals and negotiate potential transactions Prepare investment reports and deliver presentations to more »

parameters to improve strategy performance. The candidate can expect exposure to a wide range of interesting and challenging problems involving financial market, statistical modeling, machine learning, deep learning, and computational finance. Required Core Competency Deep understanding of financial markets and market micro-structure Exceptional analytical and problem … skills and strong track record of using creativity to come up new HFT/MFT trading strategies Hands on knowledge in applying statistical and machine learning methods to financial data using Python/R Comfortable taking ownership of projects and responsibilities with minimum supervision At least a bachelors more »

Lead Machine Learning Engineer Up to £115,000 + benefits London - 3 days a week This is a chance to join an E-commerce and retail-driven marketing agency to help deploy impactful models and work with cutting-edge technologies. They are looking for a Lead MLE to … Chance to have 1 direct report within an MLE team of 3 Focusing on end-to-end data pipelines, for training, evaluating and deploying ML models Working closely with Data Scientists on client partners, advising on best practice ML and MLOps infrastructure Driving best practices in a fast paced environment … within a well established company Your Skills and Experience: MSc or PhD level education in STEM subjects. Strong experience in building and deploying ML models Preference for experience in deploying customer/marketing models but not required Candidates should be looking to work in a fast paced startup feel environment more »

modeling disciplines; analyzing and presenting data insights and code, communicating effectively with technical developers and non-technical marketing business partners, teammates and leadership; implementing machine learning algorithms, working end-to-end on machine learning pipelines in production; data engineering working on ETL pipelines, crawling APIs and more »

Develop the Linux runtime for Fractile’s innovative AI acceleration hardware Implement highly-optimised accelerator firmware Work with hardware and higher-level software and ML engineers in a highly collaborative hardware-software co-design methodology You have: Proven experience of the development of Linux device drivers A good understanding of … Electronic Engineering, Maths, Physics, or related degree and 3+ years of industry experience You may also have: Experience of working with GPUs or dedicated machine learning accelerators Knowledge of contemporary machine learning techniques and technologies Previous experience in a startup or small team environment more »

role requires a mix of technical skills, legal industry knowledge, and project management. Core Responsibilities Innovation: Develop and deploy legal tech solutions using AI, machine learning, and data analytics to improve efficiency and service quality. Data Strategy: Collaborate with data governance and security teams to create a comprehensive … Experience Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or related field. Experience: Proven experience in data science, AI, or machine learning, preferably in a law firm or regulated environment. Industry Knowledge: Understanding of the legal industry is a plus. Technical Skills: Proficient in more »

develop the Linux runtime for Fractile’s innovative AI acceleration hardware Develop highly-optimised accelerator firmware Work with hardware and higher-level software and ML engineers in a highly collaborative hardware-software co-design methodology Support and develop more junior colleagues You have: Strong experience of the development of Linux … Electronic Engineering, Maths, Physics, or related degree and 7+ years of industry experience You may also have: Experience of working with GPUs or dedicated machine learning accelerators Knowledge of contemporary machine learning techniques and technologies Previous experience in a startup or small team environment more »

into extensive and intricate datasets to gain comprehensive insights Extract, interpret, and communicate findings effectively with the team Develop predictive models using statistical and machine learning methods Validate and refine models for accuracy and applicability Stay updated on industry trends and advances in data science Requirements: Essential … record Exceptional problem-solving and analytical abilities Proficiency in Python, particularly with the pandas library Strong communication and collaboration skills A proactive attitude towards learning and development Desirable: Experience with SQL for data manipulation Familiarity with time series modeling and forecasting Exposure to Cloud Environments like GCP or AWS … Knowledge of Bash, Unix, and version control systems like Git Understanding of Object-Oriented Programming principles About Us: Our client, founded by experts in machine learning and industry veterans, is dedicated to unlocking the value of data and technology. We specialize in applying cutting-edge research to solve more »

multi-instance clusters for data and model parallel training across GPUs/TPUs, preferably using PyTorch and Kubernetes. Proficiency in efficient serving of large machine learning models at scale, including quantisation and distributed computing. Other: Experience at a leading machine learning company. Interested in the impacts … screen) you will be asked to answer at least one of the below questions: Describe your experience in creating/managing HPC clusters for ML models. What tools did you use? Describe how you have efficiently served large ML models at scale. Highlight any specific techniques or libraries used. Please more »

trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are also … of the CPG space Strong project management and team management skills and ability to work with global teams A solid understanding of statistical and machine-learning algorithms is a plus Strong SQL skills and hands-on experience with analytic tools like R & Python; & visualization tools like Tableau & Power more »

demographic reach and frequency estimates for highly granular and accurate viewing insight, without the limitations of panel sizes. Job Role Requirements Design and refine machine learning and statistical models to improve their performance and adaptability. Develop prototypes of statistical and machine learning models in Python, ensuring more »

large and complex datasets: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Develop, implement, and maintain predictive models Utilise machine learning algorithms to improve product recommendations and marketing strategies. Collaborate with IT and data engineering teams to ensure seamless data flow and infrastructure … support. Generate actionable insights for business improvements Key Skills: Proficient in Excel is absolutely essential here Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Previous experience of working on AI focused projects Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity more »

our clients over a consistent period, the team are keen to find another great Recruiter to continue our position as a leader of the Machine Learning, AI & Data Engineering Recruitment space. Data Science and Machine Learning Recruitment at Xcede Data Science has long been a flagship more »

I'm currently working with an energy trading client who is looking to continue scaling their team and are currently searching for a Machine Learning Engineer and will consider individuals from a Python Engineering or Data Science background. Based in Central London, this company offers hybrid working with more »

will build Edge-computing and IoT applications for processing vision data and communication layers for the compute-constrained edge devices. You'll be deploying Machine Learning models to production and optimising the platform runtime performance, this is mainly in C++ with parts running on GPU. There's a … Patterns You have advanced level C++ skills (they're using C++20) including multithreading You have also have strong Python skills and experience of integrating Machine Learning models (using PyTorch) It would be advantageous to have experience with Edge/IoT computing You're keen to work in s more »

had sustained success and have committed significant resource to build their acclaimed quant and tech team. The business blend discretionary and systematic approaches, including machine learning, so they are looking for a developer who has experience working large data sets in (ideally) systematic trading environments. This would suit … currently building and developing a new core trading system, working directly with the quant and portfolio management teams to build trading tools and applying machine learning technology and approaches throughout the investment process. The role will involve working directly with quant analysts to develop software and tools to more »

had sustained success and have committed significant resource to build their acclaimed quant and tech team. The business blend discretionary and systematic approaches, including machine learning, so they are looking for a developer who has experience working large data sets in either discretionary or systematic trading environments. This … projects, including building out their proprietary core trading system, working directly with the quant and portfolio management team to build trading tools, and applying machine learning technology and approaches throughout the investment process. The role will involve working directly with quant analysts to develop software and tools to … and Data teams are both working in Python, with the core system in C#, so they are looking for developers who have a core learning and ability in these languages. Outstanding candidates currently working with a C-Style language (C#, C++, Java, Go etc) will be considered. Furthermore, experience more »

cloud Experience of greenfield Data Warehouse implementations, including Data Architecture principles Knowledge of data science concepts and ability to promote solutions to production via machine learning engineering Hands-on knowledge of NoSQL and relational Databases, alongside relevant data modelling techniques ETL/ELT tooling Knowledge of DBT, Luigi … CI/CD, test automation, e2e testing Experience of streaming data technologies Development on highly-scalable, highly-available applications with large datasets Experience of machine learning engineering tools on GCP Micro-services and containerised computing more »

and security. AI Integration in Healthcare: Assist in the development and implementation of AI solutions tailored to healthcare challenges. Collaborate with data scientists and machine learning engineers to deploy models into production environments. Utilize genomics, clinical, and administrative data to derive actionable insights and recommendations. Research and Innovation … ETL processes, data modeling, and database management, as well as SQL. Knowledge of healthcare industry standards, regulations, and data interoperability. Familiarity with AI and machine learning concepts, and a willingness to learn and apply them in a healthcare context. At least 6 Months experience working with Gen AI. more »

You will solve multiple of computer vision related problems end to end and integrate solutions into our cloud processing pipeline. You will identify appropriate machine learning models through research, such as reviewing academic papers and adapting them for our use. Drive the development of the cutting-edge 3D … AI pipeline, leveraging the latest breakthroughs in 3D data processing, 3D vision, and machine learning techniques. This entails system design and comprehensive testing. Identify and address bottlenecks in data, pipeline, and operations, proactively devising and implementing agile solutions to enhance scalability and optimize performance. Take ownership of project … with Computer Vision models, particularly in the context of SLAM. Demonstrate proficiency in analyzing 3D Video and performing 3D reconstruction. Technical expertise: Python, Deep Learning frameworks (PyTorch or TensorFlow), AWS. SALARY AND BENEFITS Competitive salary range: ££90,000 to £110,000 Equity ownership in the company. Comprehensive benefits package. more »

Machine Learning, Artificial Intelligence and a fresh approach to physical security. Not the kind that asks you for identification, but the kind that has been widely underutilised and if you’ve ever seen Crimewatch, neglected by many organisations. You will be working with a team of engineers spread … and opportunity. Being an IoT start-up, you’ll have a direct impact on multiple areas of the product lifecycle. Whether you’re deploying learning models or developing new features for telemetry, you will be making a difference. The codebase here is largely written in C++ and will certainly … of experience levels. The salary on offer is up to £120k. Interested in joining a start-up with some of the industry leaders in ML/AI? Get in touch. No up-to-date CV required. more »

Evaluation Master & Reference Data Management - Advisory Report Meta Data Management - Artefacts Data Optimization: Query Optimization (Data Warehouse) - Advisory Report Semantic Layer - Artefacts Analytics Modelling: ML Ops - Strategy Real-Time Workload Integration: Synchronous Web API API Monetisation - Artefacts Data Storage: Operational Datastores - Relational Database - Artefacts Essential Skills and Experience: Proven experience … management. Proficient in query optimization and data warehouse management. Experience with modern data science techniques, including decision trees and machine learning operations (ML Ops). Ability to evaluate and recommend tools for data quality management. Familiarity with real-time data integration using synchronous web APIs and API monetization more »

will therefore operate closely with business and Datascience experts covering Business sectors including Energy & Utilities, Banking, Insurance, Healthcare, Defence, Technology, and others. AI technologies: Machine Learning, Time series, Natural Language Processing, Generative AI, Computer Vision, Operational Research, Engineering, Data Marketing, Data Analytics (For more information about our Data … on positioning in the market. Supporting the operational and Career Management of Data science consultants Coaching and mentoring colleagues’ performance and development. Facilitating own learning and specialist subject matter knowledge whilst supporting the team to further develop their technical knowledge and consulting skills within the practice. What skills and more »

including containers and serverless implementation. E.g. Kubernetes, Docker, OpenShift, AWS Lambda, Cloud Functions (GCP). • Machine learning tools and techniques, e.g. Auto ML, Tensorflow, Natural Language, Vision AI Common technology components: Google Cloud • App Engine • Cloud Functions • Kubernetes Engine, Compute Engine, VPCs • Cloud Spanner, Cloud SQL and BigQuery … Dataflow, Apache Beam • DialogFlow, Auto ML, AI Platform Architecture • Microservices patterns • Event-driven architectures and message queues • Relational and non-relational databases Languages and frameworks • Java 8+, JavaScript, Python • Common frameworks and APIs such as Spring Boot, Guice, Jersey, Node.js, Flask • Knowledge of JVM, its limitations, weaknesses, and workarounds • Building more »