51 to 75 of 1,181 Machine Learning Jobs in the UK

social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence.About the team:The Conversion ML team is responsible for improving and maintaining machine learning models that have a pivotal impact on the performance of Accelerate customers’ advertising campaigns. … The team collaborates closely with other ML-oriented teams at Liftoff. We use many modern ML frameworks and architectures, including Spark and PyTorch to build deep neural networks.Location:This role is located in Liftoff's Hub in Paris, France or can be in any of the following locations: England or … Germany. ML Engineers located in Paris will be asked to come into the office once a week and once a month if located in one of the above countries. Responsibilities:Own both the ML models and the underlying software tooling and infrastructure. Our ML Engineer role combines the classic "ML 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 »

key part of your role. What are the day-to-day tasks? Design and develop AI models and solutions using Azure Open AI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements … scientists, and IT teams to integrate AI solutions into existing systems and workflows, enhancing their capabilities and impact. Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings. Provide expertise and guidance on AI best practices, contributing … with a deep understanding of software development principles. Extensive experience with Azure AI solutions, including Azure Open AI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Solid background in machine learning algorithms, data pre-processing, feature engineering, and model evaluation. more »

Data Scientist – Python, Data, Products, AI, Machine Learning, Financial Services – Permanent – 100,000 - 115,000 base + bonus – London/Hybrid My client, a leading Financial Services organisation based in London are looking for a Data Scientist to join their London office on a permanent basis.Your main responsibility … You will use Python/R to write high-level code to process and transform data. Additionally, you will design and implement AI/Machine Learning models to enhance decision making. Prior stakeholder management is required as you will be interfacing with senior stakeholders gathering business requirements to … data strategies. Ideal Skillset:Previous experience working in large and complex Data Driven environmentMinimum of 3 years of hands-on experience in AI/ML developmentProven experience in Python, R, TensorFlow, PyTorch or Similar FrameworksPrevious Experience building Predictive Models (e.g., Research Pricing, recommendation systems)Strong background in Cloud platforms (AWS more »

as a central hub with a firm-wide remit to solve strategic business challenges for the firm by bringing to bear our expertise in machine learning, artificial intelligence, data science and optimization. Our mission is to combine human and machine intelligence to revolutionize asset management. We are … in the form of alpha generation, operational efficiencies, and cost reduction. Building on the success of systematic investment teams with a history of leveraging machine learning at BlackRock to create alpha, the goal was to apply these same techniques throughout the business. Job Description We are seeking a … of our users. As a senior full stack engineer, you will lead the design and development of products that are based on proprietary statistics, machine learning, optimization, and AI methods and that are of strategic importance to the firm. You will partner with our product managers, researchers, and more »

commercial goals to identify opportunities to quickly deliver customer value Ensuring that the product continues to use best practices, utilising advances in AI/machine learning ???? What you’ll bring Demonstrated experience developing data strategy and machine learning algorithms for consumer applications, preferably with a agtech … focus Knowledge of the latest practices in AI/machine learning and can creatively apply them to a consumer application Demonstrated ability to deliver product in a tech startup environment and with speed Confidence to manage a tech team to develop a mobile app, and ability to inspire more »

software engineering team. This individual will manage a team of seven engineers, guiding them in the development of state-of-the-art AI and machine learning solutions. The ideal candidate will have a strong background in Python, data science, machine learning, and AI, with a proven … strategy for the engineering team, ensuring alignment with company goals and industry best practices. Stay up-to-date with the latest advancements in AI, machine learning, and healthcare technologies, and integrate relevant innovations into the team's work. Ensure the robustness, scalability, and security of all software solutions. … degree in Computer Science, Engineering, Data Science, or a related field. 7+ years of experience in software engineering, with a focus on AI and machine learning. Proven leadership experience, with at least 3 years in a managerial role overseeing a team of engineers. Proficiency in Python and experience with more »

problems for our clients. Our engineering teams build scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Engineering, which is comprised of our Technology Division and global strategist groups, is … due consideration to security, design, validation and SDLC framework Contribute to shaping the strategic vision of our Fraud screening platform involving data streaming and machine learning technologies Collaborate with product managers, business operations, engineers to define product requirements and objectives Participate in system design consulting, platform management Develop … corporate cash management desirable Experience with AWS services - Amazon MSK/Apache kafka, ECS, S3, IAM, AWS XRay Basic knowledge of data science and machine learning is preferable but not essential ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients more »

this role About this role The AI Labs team works collaboratively; and is a multi-disciplinary team with the following skills and capabilities: optimization, machine learning, statistical modeling, exploratory data analysis, natural language processing, data visualization, network/graph modeling, ETL, data pipelines, data architecture, communication, project/… Labs has offices in New York, Palo Alto, and Edinburgh. The team has several Stanford professors as senior advisors with world-class expertibahnse in machine learning, statistics, optimization and stochastic control. These advisors include Emanuel Candes, Trevor Hastie, Robert Tibshirani, and Mykel Kochenderfer who dedicate time in our … of the distributed team. In this role, you can expect to: Design and deliver secure and scalable solutions to enable the rapid delivery of machine learning products to production environments Continuously improve existing products, tools, and services, by maintaining close relationships with data scientists, researchers, and other BlackRock more »

team to understand the requirements and specifications of software projects- Design, implement, and maintain high-quality, scalable, and robust python code and libraries- Apply machine learning techniques and algorithms to solve complex problems and generate insights from large and diverse datasets.- Troubleshoot, debug, and optimise the performance and … software engineer, preferably in the biotech or healthcare industry- Proficiency in broader Python ecosystem Django, NumPy, pandas, scikit-learn, TensorFlow, PyTorch, etc.- Experience in machine learning, data science, and data visualization, using tools such as Jupyter, matplotlib, seaborn, plotly, etc.- Knowledge of web development, RESTful APIs, cloud computing more »

role will entail: * Gathering and manipulating disparate data, applying analytical techniques and visualising results. * Application of various tools, data mining, statistical techniques, algorithms and machine learning principles to identify trends, patterns and insights from raw data. * Extracting meaning from data, uncovering insights and identifying opportunities to inform business … in data sets.Main Skill-Set We are looking for a good mix of the below skills, (not necessarily all of the below): * AI/Machine learning techniques - such as logistic regression, clustering, data modelling * Statistic modelling * Coding - R, Python, SQL * Creating data architectures * Data visualisation experience - Tableau, PBI … is essential you have the following: * 3+ years' experience as a Data Scientist * Excellent communication: clear, concise & articulate. * Passion for Data, Analytics, AI and Machine LearningBenefits PackageYou will be awarded the following benefits package: * Base Salary - From 60,000 to 65,000 per annum (may stretch to more »

Senior .Net Developers (.Net 7, Azure, Machine Learning) Bournemouth, Dorset (2-3 days per week in office) £45-65k + 7-8% Bonus + £5k Relocation package. There is a £5000 relocation package available for these roles, but only for candidates in the UK. NO Visa Sponsorship … select the right tool from the job rather than being wedded to one stack and are always looking to the future, for example with Machine Learning capabilities (predictive analytics, LLM’s and traditional AI). The culture is relaxed and there’s no red tape. You will be … pages, not any design work. They are on to Angular 16/Angular Material but are quite happy to speak to those open to learning it, or transitioning from Vue/React/Svelte for example. The ideal candidate will have Azure DevOps experience and knowledge of Docker, Kubernetes more »

fast growth Fintech company Looking to add to their Data Science team. This is a great opportunity for somebody who is keen to drive machine learning endeavours and influence the trajectory of data-driven approaches. Job Responsibilities/Outline of job Lead the development, enhancement, and maintenance of … cutting-edge machine learning models to address business challenges and opportunities. Collaborate with cross-functional teams to identify and prioritize data science projects that align with company goals and objectives. Utilize advanced statistical techniques and machine learning algorithms to extract meaningful insights from large and complex … looking for: Proficiency in programming languages and tools such as Python, R, Snowflake, dbt Experienced in mentoring & developing teams Strong understanding of statistical concepts, ML Ops tools, algorithms, and techniques, with practical experience in applying them to real-world problems If you are interested in this opportunity please apply or more »

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 »

platform. Your contributions will be instrumental in advancing the capabilities and performance of our cutting-edge technology. Job Description Develop high-performance kernels for machine learning operators on NPU architectures Optimize existing kernels to ensure maximum efficiency and performance Collaboratae with the hardware and software teams to integrate … Engineering, or related field Minimum of 5 years of experience in kernel development for NPUs, GPUs, or similar hardware accelerators from 3 ~ 5 years (ML, linear algebra) Proficiency in CUDA, OpenCL, or similar parallel programming languages Experience in SIMD/vector processing experience(RISC-V Vector) Strong software development skills … using standard development tools (e.g., Git, Jira, etc.) Basic understanding of machine learning frameworks (TensorFlow, PyTorch, etc.) Excellent problem-solving skills with a logical and analytical mindset Strong communication and interpersonal skills to collaborate effectively within a team environment Ability to work independently, manage multiple tasks, and thrive 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 »

ResponsibilitiesLeading an organization comprised of applied scientists and engineers from prototyping across development and integration of advanced systems relying heavily on Computer Vision and Machine Learning technologies.Owning the development of system requirements, and collaborating with respective teams to mature and integrate technologies necessary to create product architectures that … research organization through technical leadership.Demonstrated experience in recruiting and managing technical teams, including performance management.Experience in managing teams productizing Computer Vision or AI/Machine Learning technologies from conception to end.Leadership and interpersonal communication experience in working across many disciplines, driving best practices, and mentoring team members.Technical experience … in leading teams/projects in one or more of the technical domains of machine perception (i.e., machine vision, deep learning, sensors and robotics).Start preparingLearn about how to prepare for your interview with our interview guide, tips, and interactive experiences.Visit interview prepLocationsWarning noticeYour browser doesn't 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 »

work will have a very direct, measurable impact on achieving those goals.Senior Data Scientist – Spiking Neural NetworksJob responsibilities:Apply your existing knowledge of SNNs, machine vision and image analysis techniques to the development of a novel SNN engine based on our research outputs. You may also be asked to … work on projects that make use of CNNs and Transformer networks.Enhance machine learning software with the latest in machine learning algorithms.Work with other team members tasked with the development of a system for automating the production of synthetic training images derived from digital 3D virtual reality … work into practice.Contribute to the development of systems that will be core components of our machine vision, image analysis and other AI/ML products.Support the work of other data scientists and developers in the team.Work with research colleagues and offer technical support to colleagues in commercial roles in 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 »

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 … and fluent in SQL (any flavor) for analysis; Experienced in applying a broad range of data science techniques, including data manipulation, visualization, package development, machine learning algorithms, NLP, Shiny/Dash, deep learning, and reinforcement learning. Highly skilled in R package development, functional programming principles, documentation best more »

a Technical Lead profile to manage the MLOps unit within the Intelligent Systems Group. The unit is currently horizontal, it includes both Platform and Machine Learning engineers and it is responsible for supporting data scientists in deploying, maintaining and monitoring an increasing number of Python-based microservices, ETL … team and the emotional intelligence required to work with human capital are a must. Confident, but realistic, in their own skills and open to learning new approaches and solutions. Strong software engineering experience with Python. Experience working on production-level microservices (Docker/Kubernetes) and cloud infrastructure. Experience working … with Databases, Postgres, Redshift, Neo4j would be a plus.Computer Science or Software Engineering degree/BSc or higherExperience leading a Machine Learning/MLOps teamLow ego management styleStrong Python coding experience Experience with the SQL querying languageExperience working with Docker both in development and deployment environmentsExperience reading/ more »

At least three years of practical experience in industry, government, or consulting, applying data-driven approaches to various business scenarios, including advanced analytics or machine learning algorithms. - **Technical Skills:** Strong Python skills and understanding of data science and machine learning concepts and algorithms such as clustering … Join them?** - **Impactful Work:** Contribute to meaningful projects that address critical public policy issues. - **Professional Growth:** We support career progression and are committed to learning and personal development through in-house training programs, access to our communities of practice, and online learning resources. - **Supportive Environment:** Enjoy a supportive more »

accessibility, and reliability. • Apply statistical analysis methods to interpret data trends, patterns, and correlations, and communicate insights and recommendations to business stakeholders. • Utilize advanced machine learning and AI techniques to develop predictive models for improving business processes, customer experience, and operational efficiency. • Conduct exploratory data analysis to identify … or Julia. • Familiarity with data processing frameworks like Spark or Hadoop is a plus. • Solid understanding of statistical analysis techniques, data mining methods, and machine learning algorithms. • Strong analytical and problem-solving skills with the ability to transform complex data into actionable insights. • Excellent communication skills with the more »