151 to 175 of 526 Permanent Machine Learning Jobs in London

to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart … life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun more »

The ideal candidate's favourite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, and structuring … Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and more »

London.) Xcede are delighted to be working with a well-renowned insurance company based in Hertfordshire. The company have an excellent Data Science and Machine Learning unit … supported by a group of Data Engineers who are responsible for Data Pipelines. As a bonus - Data Engineers are also able to help with ML model deployment and MLOps. Responsibilities Design and implement Data Pipelines for both structured and unstructured data. Support and improve ML infrastructure – particularly Azure ML. Contribute … preferably Azure) environment TDD & CI/CD experience Containerisation experience (Docker, Kubernetes, etc.) MongoDB (or NoSQL) experience Terraform experience Previous experience in managing the ML lifecycle with MLFlow more »

causaLens is the pioneer of Causal AI — a giant leap in machine intelligence. We are on a mission to build truly intelligent machines, machines that truly understand cause and effect— it’s hard but super fun! If you want to build the future and are looking for a place … a plus Experience in supply chain, demand forecasting, retail/cpg, manufacturing, marketing, financial services, or public sector is a plus About causaLens Current machine learning approaches have severe limitations when applied to real-world business problems and fail to unlock the true potential of AI for the more »

Data warehousing and segmentation techniques (GCP). • Big query, big tables and Compute engine in GCP. • Knowledge of programming languages Python, R, and java. • Machine learning will be added advantage. • Hands-on experience with SQL database design • Great numerical and analytical skills • Data engineering certification is a plus more »

to develop deep business insights and architect key business metrics. You will partner with scientists to build forward-looking data experimentation, predictive modeling, and machine learning algorithms. The role is cross functional and will require working closely with a wide variety of stakeholders including senior members across engineering more »

opportunities and cost-saving measures across the organization. Lead and mentor a team of data analysts and BI specialists, fostering a culture of continuous learning and development with a specific focus. Qualifications: Minimum of five years of leadership experience in business intelligence and analytics. Proven track record of success … BI specialists, fostering a culture of continuous learning and innovation. Preference for candidates with experience in Microsoft Azure, Azure Synapse Analytics, and Azure ML Studio, and experience in integrating various Microsoft technologies for comprehensive data solutions. Additional consideration for candidates with experience in data science and proficiency in Python … for data analysis and machine learning applications. Please share your CV on shivani@thereacthub.com or you can directly call me on +44 2038542459. more »

to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart … life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun more »

The Role: The successful candidate will work on all aspects of our client's data architecture, collection, pipelining, governance, and security. This extends to machine learning deployments, financial benchmark production, and internal auditing of data quality and integrity. The Tech: Python: Strong proficiency, including experience with libraries like more »

s leading financial organisations. The company is working with numerous aspects of pioneering technologies including cloud engineering (partnerships with AWS, Azure and GCP), AI, Machine Learning and blockchain. This is an exciting opportunity whereby you will have the opportunity to successfully deliver a number of neo banks. As more »

translate them into actionable analytical tasks. Develop and implement advanced analytics techniques to extract meaningful insights and drive business value. Utilise statistical methods and machine learning algorithms to uncover patterns, trends, and opportunities within large datasets. Design and maintain dashboards, reports, and data visualizations to communicate findings effectively more »

specific expertise in relation to the collection and use of data in online advertising and adtech, fraud prevention data, fan data, sports betting data, machine learning and artificial intelligence. More broadly, the team helps clients manage privacy, reduce development costs and maximise the potential of data, with a more »

VBA Prior experience of the following is at least two of the following is essential: Client/customer interactions Optimisation Problems Statistical analysis or Machine Learning Experience or interest in the following fields would be highly beneficial: Electric Vehicles and Chargers Energy Storage Commercial vehicles Logistics Operations and more »

years of experience in data science, AI, and analytics, with a strong background in advising senior executives. Expertise: Deep knowledge of data management, machine learning, AI frameworks, and analytics tools. Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. Advanced more »

and non-relational data stores, APIs, Google Drive, event delivery pipelines), into a single persistent storage solution that enables everything from simple reporting to ML-backed products You’ll identify, design and implement data process improvements covering the full spectrum of the data engineering practices, including platform engineering and data more »

with the relocation process on a case-by-case basis for the right leader. Join us in transforming the educational landscape and advancing global learning initiatives. Responsibilities: Collaborate with the Board and C-Suite to design and enact an overarching information and data strategy that aligns with the company … a sound commercial acumen to support the organization’s risk management and compliance frameworks. Knowledge of cutting-edge technologies such as RPA, blockchain, AI, machine learning, and cognitive computing is expected. The successful candidate will need adaptive thinking and strong leadership skills to navigate the evolving business and more »

+ 12% bonus London - 1-2 days a week in office Join a dynamic team of Data Scientists working on high-impact, commercially driven machine learning models in the healthcare space! ROLE AND RESPONSIBILITIES Working closely within a team, to design and build models across forecasting and predictive more »

field. Proficient in handling behavioural data and modelling. Prior experience in the Health/Pharma industry or domain expertise. Expertise in developing and deploying machine learning models. Proficiency in programming languages such as Python or R. Strong communication skills, capable of effectively communicating technical concepts to diverse audiences. more »

field. Proficiency in handling behavioural data and modeling. Prior experience in the Health/Pharma industry or domain knowledge. Expertise in developing and deploying machine learning models. Proficiency in programming languages such as Python or R. Strong communication skills, capable of effectively conveying technical concepts to both technical more »

How to Apply: Register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Data Science, AI, Machine Learning, Computer Vision, SLAM, 3D more »

AWS certifications. Experience with big data technologies such as Hadoop, Spark, or similar. Knowledge of data governance and data quality best practices. Familiarity with machine learning and AI concepts and tools. more »

collecting, validating and delivering data and split between architecture, stack and delivery; and Advanced Analytics – tasked with using data analysis methodologies including predictive modelling, machine learning algorithms, process automation and other methods to impact process and split between science, journalism and support. What you’ll be doing: The more »

connectivity techniques to ensure that audience insights can then be fed directly into campaign targeting to drive efficiency and effectiveness. Activation Algorithms – algorithms leveraging machine learning to support the optimisation of campaign activation using a variety of contextual factors to automatically improve bidding and targeting selection to drive more »

They are looking for a quantitative researcher with experience of working within systematic equity or macro strategies, ranging from stat arb, event driven, or machine learning techniques. The ideal candidate will have experience in alpha research, systematic equity or macro strategies, be willing to join a collaborative setup … backtesting for systematic equity or macro strategies Demonstrated ability to conduct independent research using large data sets Conduct original quantitative alpha signal research (through ML/NLP techniques, stat arb or event driven) Combine sound financial insights and statistical learning techniques to explore, analyze, and harness a large variety more »

based analysis to meet business needs. * Training and supporting Power BI users, working with stakeholders to define data requirements and KPIs. * Using AI and machine learning to improve data processes, extract insights, and drive innovation. Role Requirements: * Proven experience in designing and developing Power BI solutions. * Advanced skills … and budgeting. * Excellent communication and presentation skills, with a focus on customer service. * Patience and persistence for staying motivated, even when facing setbacks. * Quick learning ability and a strong commitment to delivering exceptional service. * Keen attention to detail and accuracy in all aspects of work. * Experience thriving in a more »