126 to 148 of 148 Machine Learning Jobs in London with Remote Work Options

have experience in any of these areas, we encourage you to apply: Fullstack, Front End, Back End, Python, AWS, React, JavaScript, Golang, Generative AI, Machine Learning, startups, supply chain, logistics, delivery networks. Contact Interested candidates are encouraged to apply by emailing more »

functional specifications across multiple functions Construct SQL queries, report and visuals, using technology like Tableau, for exploratory data analysis Develop and test models using ML model to generate predictive insights Essential Criteria must be clearly demonstrated on CV In depth commercial experience with Azure, AWS or Google Cloud IaaS/… PaaS in area of data preparation/integration and ML model constructions. Experienced with structured and unstructured data and proficient with good with Hypothesis formulation, data preparation and model building. Experience in combining qualitative and quantitative datasets. Experienced in either programming languages such as Python and/or R, data … Proficient with Data concepts and handling variety of datasets, good with hypothesis formulation, data preparation and model building. Should possess enough proficiency with Statistical & ML model building using R and/or Python languages (generalized linear models, logistics/linear Regression, Tree based and Boosting models, Decision trees, Random Forest more »

both public and private sectors. Our commitment to designing impactful careers and coaching future leaders is evident in our over 10 prestigious awards in Learning & Development and Equality, Diversity & Inclusion. As a Top 20 Employer for Social Mobility and a proud B-Corp certified organisation, we're not just … Job You'll become versatile in a wide array of tools across topics covering data focused coding, data visualisation, Cloud Services, Big Data and Machine learning. You will be equipped to work within a variety of roles including but not limited to; Data Engineer, Data Analyst, Data Scientist, Information more »

first instance starting 4th November 2024. Main duties of the job The successful candidate will be involved in cutting edge research utilising statistical and machine learning models for biomarker discovery, contributing to the advancement of Food allergy. This project will be carried out under the supervision of Dr … analysis Experience handling missing data and imputation Experience within a research environment and publication in relevant and refereed journals Knowledge of Multivariate Statistics and Machine Learning Knowledge of Network Analysis for omics data Further information The post is full-time and fixed term until May 2026 and you more »

throughout projects, understanding their needs and communicating your work. The Health Economics Unit (HEU) is part of the Midlands and Lancashire Commissioning Support Unit (ML). We deliver impactful insights that power the future development of health and care delivery. Our experts support health system and industry leaders to make … environment, with data scientists, economists, data engineers and other healthcare professionals, you will be extracting, transforming, and cleaning data ready for analytical projects. NHS ML is committed to our process of redeployment at risk members of our existing workforce to new roles. As such, all job adverts are subject to … client requirements are met by supporting project managers with required documentation and delivering on time and within budget. You will instill a culture of learning and knowledge sharing; you will develop and maintain your specialist knowledge whilst providing educational opportunities to enhance colleagues skills in your areas of expertise. more »

minimum of $2-5 million consistently meeting and exceeding quota Industry expertise either in technology services such as technology consulting, business intelligence sales, AI, machine learning, or big data An existing network of potential clients Ability to demonstrate strategic thinking and problem-solving that enable you to understand more »

days) Week 6 - Probability & Statistics (3 days) Week 7 - Maths & Statistics Project (Self Study) Week 8 - Algorithms & Graph Theory (3 days) Week 9 - Machine Learning 1 (3 days) Week 10 - Machine Learning 2 (3 days) Week 11 - Data Science Project (Self Study) Week 12 - Project Review more »

Business oriented, operationally focused, and familiar with new technologies, with a familiarity of, and a curiosity for, topics such as ad tech, AI, and machine learning. * Able to work autonomously in a fast moving, complex and ever-changing environment, and prioritise work tasks effectively. * Strong communicator, able to explain more »

synapse, Databricks, SQL, Python and DataOps. This is a fantastic opportunity for a Data Engineer to gain exposure to different business areas from Visualisation, Machine Learning/AI and governance. Alongside this my client is going to be going through a cloud migration to Azure. Responsibilities : Collaborate with … implement data integration and ETL/ELT processes. Optimise and tune data storage and retrieval processes. Collaborate with the Data Science team to implement machine learning algorithms and AI models. Ensure data quality and integrity throughout the data lifecycle. Monitor and troubleshoot data pipelines to ensure optimal performance. more »

use in over 60 countries, the company's document review platform offers lawyers greater insight at unmatched speeds. The software builds on ground-breaking machine learning and pattern recognition techniques developed at the University of Cambridge to read and understand legal language. The technology is used by law more »

use in over 60 countries, the company's document review platform offers lawyers greater insight at unmatched speeds. The software builds on ground-breaking machine learning and pattern recognition techniques developed at the University of Cambridge to read and understand legal language. The technology is used by law more »

Machine Learning Engineer - MedTech - London - Hybrid Do you want to develop AI that prevents critical diseases as Machine Learning Engineer ? You can make a real difference in healthcare! A Machine Learning Engineer is needed to join a rapidly growing team at a leading MedTech … firm. The company specialises in AI-powered predictive analysis, developing groundbreaking tools to prevent critical diseases. In this Machine Learning Engineer role, you will: Build and deploy AI models to predict and prevent critical diseases Collaborate with engineers and scientists to develop cutting-edge solutions Continuously learn and … deep learning techniques Be an integral part of a growing team (20 to 40 people in 12 months!) Tech skills needed for this ML engineering role: Deep Neural Networks (DNN) Generative Adversarial Networks Deep Learning Define, evaluate and assess AI systems performance Explore and implement state-of-the more »

and passion for your chosen field. At the core will be the development and use of appropriate analytical techniques that include advanced analytics and machine leaning to tackle some of the highest areas of fraud risk to the NHS and ultimately protect public funds for patient care. Potential applicants … for purpose. Please see full Job Description and Person Specification. Person Specification Knowledge and Experience Essential Advanced theoretical & practical knowledge of data analytics and machine learning, acquired through specialist training or experience in an appropriate field. Knowledge of data, its use and application within NHS or other complex … handle detail in strategic plans and make informed decisions and judgements. Desirable Current broad knowledge of the contemporary data science environment concerning data science, machine learning and artificial intelligence. A robust understanding of data and development of efficient data pipelines Qualifications Essential Educated to degree level in relevant more »

Python and SQL. Expertise concerning the underlying principles and techniques of data analytics within the context of counter fraud, for example rule-based analytics, machine learning etc. Desirable Demonstrable experience of creating and maintaining reporting systems Qualifications Essential Educated to degree level in relevant discipline, or equivalent. Formal more »

be about designing, planning and implementing systems based on LLM-inference, including advanced RAG. To this end you will collaborate tightly between Data Scientists, Machine Learning and Big Data Engineers, as well as Cloud Software Engineers and DevOps in a Scrum environment. You can support streamlining deployment and … in MLOps for large models to build a better future where a new job is just a click away. Your responsibilities: Implement and productionise ML-based services using Sagemaker Collaborate with Data Scientists to design and implement LLM-based inference workflows Utilize IaC and CI/CD best practices to … deployment of LLM-based systems, ensuring efficient and scalable solutions that meet our business needs. Your skills and qualifications: 5+ years of experience in Machine Learning Engineering, Data Engineering, or a related field Proficiency in production-level Python (Clean, SOLID) and industry experience with Amazon Sagemaker deployment of more »

this data availableforother stakeholders acrossthe business.It's an opportunity for embarking on interesting challenges at a global scale! Essential Skills (3 years): Python Azure ML and deploying algorithms in production environments SQL PowerBI Background in analysing financial information (credit risk/insurance/FX Rates/Commodity pricing) is a more »

AI Lead Engineer - LLM, Machine Learning London based contract, hybrid working - AI/LLM Lead Engineer/Architectspecialise in AI applications and Large Language Models AI Lead Engineer/Architect Artificial Intelligence/Machine Learning experts with LLM, NLP Experience: Advise on LLM SW Engineering principals more »

Job Type: Permanent The Role Our client is a ever-growing software company which uses Python away from the conventional Machine Learning/Data Science route. They are looking for developers that enjoy the element of gaming using python, and those that are eager to work in a more »

ESXi/Hyper-V/KVM), Linux (Ubuntu) -Python, Java -ActiveMQ, Redis -PostgreSQL, TimescaleDB, NoSQL -Flask, HTML/CSS, Plotly, JavaScript/jQuery, -Simple Machine learning Please note that my client has a couple openings as a Full Stack Developer and the salary is dependant on experice. This more »

AWS accounts and infrastructure to host our systems for LLM-inference, including advanced RAG. To this end you will collaborate tightly with Data Scientists, Machine Learning, Big Data, and Software Engineers in a Scrum environment. You can support streamlining deployment and establish best practices in infrastructure management for … of newly created AWS accounts Enable two teams in our business by managing LLM-Operations Communicate effectively with team members and stakeholders, explaining complex machine learning concepts in a clear and concise manner. Your skills and qualifications: 5+ years of experience in DevOps, Cloud Operations, Data Engineering, or more »

on the Oracle implementation project but there may also be some opportunity to get involved in other projects across the business, looking at AWS, Machine Learning & AI, and Operational Systems. Key Skills: Experience architecting on an Oracle Programme. The ability to provide a strong level of stakeholder and more »

on the Oracle implementation project but there may also be some opportunity to get involved in other projects across the business, looking at AWS, Machine Learning & AI, and Operational Systems. Key Skills: Experience architecting on an Oracle Programme. The ability to provide a strong level of stakeholder and more »

working) £up to £68,000 A leading financial organisation based in London is currently looking to recruit a Data Engineer to join a growing machine learning team ideally with a strong track record of data modelling, developing, and delivering large scale data transformation project aligned with the overarching … Data Strategy. The successful data engineer will define, develop, and deliver data transformations that not only drives our Machine learning models but create more strategic transformation that delivers consistent data across the organisation for the various business needs. Key responsibilities Delivering data transformation based on the overarching data … service levels, which you'll agree with your manager - and your contribution to our commitments Working with business stakeholders and project team to identify ML and IA opportunities, and understand and capture business requirements Providing quality assurance on machine learning code developed by other team members You'll more »