51 to 75 of 489 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 »

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 »

attention to detail. Ability to thrive in a collaborative, fast-paced start-up environment. Preferred Qualifications: Experience in data science and/or with machine learning techniques. Interest in AI and its applications within supply chain Academic background in supply chain or similar field. Experience working with APIs. more »

as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. Strong programming skills in languages such as Python, R, or C++. Proficiency with statistical and machine learning techniques. Experience with data analysis and quantitative modeling in financial markets. Familiarity with futures markets and intraday trading strategies is highly desirable. more »

and flexibility to travel across EMEA and globally if needed. Authorization to work in the UK. A strong understanding of core system integration and machine learning methods are both a plus. Experience in the insurance or banking industries is preferred, and previous exposure to analytics within pricing, deposits more »

methodologies, technologies, and data sets in both the UK and Europe to provide insights into potential markets and business expansion avenues. System Optimization & Continuous Learning Create and maintain comprehensive data and system catalogues, detailing data and business definitions, metrics, dimensions, dashboards, and analytical models Stay abreast of the dynamic … Proptech landscape, including innovations in AI and machine learning Design, perform, and analyse A/B tests on all models and dashboards to ensure they meet the evolving needs of the business and the market at large. Salary is up to £75k. There is a benefits package which more »

Our client is a leading fintech company dedicated to revolutionizing the financial services industry. They leverage advanced analytics, machine learning, and cutting-edge technology to deliver innovative financial solutions to their clients. Their mission is to make financial services more accessible, efficient, and personalised. Job Description: We are … behalf of our client. This is a hybrid role based in the UK. The ideal candidate will have a strong background in data science, machine learning, and statistical modelling, with a proven track record of driving impactful business outcomes in the fintech space. As a Senior Data Scientist … and collaborate with cross-functional teams to develop and implement advanced analytics solutions. Key Responsibilities: 1. Lead Data Science Projects: Design, develop, and deploy machine learning models and algorithms to solve complex business problems. Manage end-to-end data science projects, from data collection and pre-processing to more »

Machine Learning Engineer Perm/full time London office 4 days per week Can offer sponsorship and relocation Up to £200K Significant equity for first joiners A YC-backed start-up in AI safety, is looking for a Machine Learning Engineer to join their founding team. … 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. General: Keen interest in AI and AI safety Can demonstrate you can work in … call) 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. Pleas 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 »

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 »

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 »

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 »

Responsibilities/Principal Accountabilities: Develop and integrate software solutions using Python, focusing on advanced GIS functionalities and AI applications such as computer vision and machine learning. Leverage ESRI APIs to employ advanced spatial data manipulation and visualisation techniques, supporting LabX’s strategic objectives. Implement and customise GeoAI techniques, using … models (and others) and frameworks like TensorFlow and PyTorch, to analyse geospatial data from imagery, video, point clouds, and text. Design, implement, and optimise machine learning models for urban planning applications, applying libraries such as Shapely, Rasterio, and others for intricate geospatial analysis. Engage in the strategic growth more »

exciting company that has developed an advanced AI platform to support construction and engineering projects across the UK and EU. ROLE: Create and implement Machine Learning and Computer Vision models, using 3D data, meshes, point clouds and LIDAR Working as part of a team of 4 Deploy models more »

solutions. Manage capacity for cyber platforms proactively. Design data structures for Cyber logs, reports, and incidents to align with digitization strategies, incorporating AI and ML where appropriate. Apply agile and DevOps methodologies as necessary. Develop and implement comprehensive cyber defence policies, procedures, and operational processes. Collaborate with the wider team more »

long- term success. What else? They operate on the big-data side of AI, tackling the unsolved problem of distributed AI. They have some ML as a Service, tackling the ML Ops loop as a service, interesting challenge. They are going to enable edge AI, another pioneering aspect. Tech stack more »

Founding Machine Learning Engineer - Fine Tuning Expertise required. USP's: An opportunity to be an integral Founding member of a future AI Unicorn Exceptional leadership in place Exceptional talent across the team, working with the brightest minds in AI, who have worked for the biggest names, who work … automated fine-tuning framework that can scale to the next order of magnitude of training runs. Experience in creating/managing HPC clusters for ML models and efficiently serving large ML models at scale is a huge bonus. Required Credentials: Master's degree as a minimum, ideally a PhD Released … a l eading AI research laboratory, or a pioneering AI business Key Requirements: Fine Tuning Expert Experience in creating and managing HPC clusters for ML models Experience in efficiently serving large ML models at scale Experience serving LLM models at scale Able to produce and refine large-scale ML systems 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 »

team. This role involves developing a cutting-edge desktop application and its associated Python backend. The app enables users to deploy, use, and build ML models collaboratively and perform data analytics in a privacy-preserving manner. The application runs on the user’s hardware, posing unique challenges in maintaining flexibility … Role Python : Proficiency in Python and Python unit testing + 5 years MLOps : Experience with machine learning operations, including training and deploying ML models. Automated Testing Frameworks : Knowledge of frameworks that contribute to continuous integration pipelines. Container Technologies : Experience with tools such as Docker. Desktop Application Development : Familiarity … with developing and deploying desktop applications. DevOps Practices : Understanding modern DevOps practices, version control systems (e.g., Git), and CI/CD pipelines. ML Frameworks : Experience with PyTorch, TensorFlow, or NumPy. More about you: An experienced engineer with a track record in modern software engineering and DevOps practices. Passionate about performance more »

of structured and unstructured data, including the integration of data through AWS and Azure cloud-based ingestion and curation processes. Knowledge of data mining, machine learning, and natural language processing is considered an advantage. Familiarity with Agile methodologies and participation in Scrum ceremonies. Competence in the design and more »

Experience with other data analytics tools and platforms (e.g., Tableau, Qlik). Knowledge of Python or R for data analysis and scripting. Familiarity with machine learning concepts and tools. How to Apply: If you are a skilled Power BI and Analytics Specialist looking to make a significant impact more »

APIs, integrating external systems, and other tasks related to server-side development. Qualifications Quantitative finance experience in any asset class. Understanding of AI and ML techniques. Strong knowledge of Back-End Development, Software Development, and OOP principles Understanding of Front-End Development processes Proficiency in a programming language such as more »

Mosaic, revenue-generating, and have multiple years of runway. Being part of our team means solving interesting problems at the intersection of user experience, machine learning and infrastructure. It also means committing to excellence, learning, and delivering great products to our customers in a high-velocity startup. more »

architecture definition, performance evaluation, and product design and verification Enable early software development using models of products in development Work with hardware, software, and ML engineers in a highly collaborative hardware-software co-design methodology You have: Proven experience of pre-silicon modelling of semiconductor IP covering one or more … fast-paced environment Computer Science, Electronic Engineering, Maths, Physics, or related degree and 3+ years of industry experience You may also have: Knowledge of machine learning techniques and technologies Previous experience in a startup or small team environment more »