101 to 125 of 688 Machine Learning Jobs in London

of the largest Healthcare organisations across the UK! They are looking for Senior Data Scientist to join their team, working on high-impact, bespoke machine learning models as part of a high-performing team leveraging advanced analytics techniques to extract insights from complex dataset. Responsibilities: Working closely within … a team, to design and build advanced performance metrics machine learning models. Providing advice and upskilling juniors on statistical methods, healthcare and science data, products, data manipulation, and dashboarding products. Developing new data-driven solutions and approaches to support new commercial solutions and project proposals Stay actively informed … Excellent communication skills with proven experience working with stakeholders or clients Industry specific experience in either consulting or healthcare Experience building capacity and demand machine learning models. How to Apply: Register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords more »

Job DescriptionData Scientist/Analyst - London - Hybrid - £50,000-£60,000SQL, Python, Machine Learning, Git, Excel, Pandas, NumPy, Seaborn, MatplotlibPlease note: this role does not offer sponsorship, and you must have full right-to-work in the UK to apply (post-study work visa will not be considered … on the lookout for a Data Scientist/Analyst with a financial services background ideally, as well as very strong Python (Pandas, NumPy etc.), Machine Learning, client-facing skills - does that sound like you?The role involves hybrid working (every Monday and Tuesday in the office and three … days from home).Essentials:Excellent quantitative skills.2+ years as a Data Scientist (or analyst using machine learning!)Highly proficient in Python, SQL, and Git.A genuine passion for investments and financial markets.Excellent communication ability, and experience interacting with stakeholders.If you’re inquisitive, hands-on, and committed and this opportunity more »

Data Scientist/Analyst - London - Hybrid - £50,000-£60,000 SQL, Python, Machine Learning, Git, Excel, Pandas, NumPy, Seaborn, Matplotlib Please note: this role does not offer sponsorship, and you must have full right-to-work in the UK to apply (post-study work visa will not be … on the lookout for a Data Scientist/Analyst with a financial services background ideally, as well as very strong Python ( Pandas , NumPy etc.), Machine Learning , client - facing skills - does that sound like you? The role involves hybrid working (every Monday and Tuesday in the office and three … days from home). Essentials : Excellent quantitative skills. 2+ years as a Data Scientist (or analyst using machine learning!) Highly proficient in Python , SQL , and Git . A genuine passion for investments and financial markets. Excellent communication ability, and experience interacting with stakeholders. If you’re inquisitive, hands more »

In this role, you will play a pivotal role in designing, implementing, and maintaining the robust infrastructure required to power their advanced AI and machine learning workflows. Collaborating closely with their multidisciplinary team, you will contribute to building scalable, resilient, and distributed systems that drive the success of … clean, efficient code in Python for various components of the AI infrastructure. Design and deploy scalable and resilient infrastructure solutions to support AI and machine learning initiatives. Develop the AI coordination layer to power millions of agents. Optimise system performance and resource utilisation to meet scalability and efficiency … required for this exciting opportunity, please submit your CV today! Keywords: AI Engineer, AI Infrastructure Engineer, Python, PostgreSQL, Blockchain, RabbitMQ, Cassandra, AI, Artificial Intelligence, ML, Machine Learning, LLM BeTechnology Group Limited is acting as an Employment Agency in relation to this vacancy. more »

ll delve into their unique challenges, designing cutting-edge AI platforms and developing strategic tech solutions that elevate their use of artificial intelligence and machine learning through Generative AI. Your role will involve crafting impactful solutions and garnering support for your innovative ideas. Working alongside fellow BCG case … you will transform client potential into tangible outcomes, partnering with a diverse array of international and leading-edge clients to enhance their AI and machine learning capabilities with Generative AI. Our AI Solution Architects possess a hybrid skill set, combining depth of architecture expertise with hands on execution … Architect and AI Engineer roles. In this critical capacity, you will address complex business issues using state-of-the-art Generative AI and advanced machine learning techniques. You will refine your specialized skills to design, develop, and implement strategic AI architecture solutions, playing a key role in seamlessly more »

global product and engineering teams across the globe. The Intelligent Systems team is at the forefront of driving innovation through cutting-edge data science, machine learning, and generative AI technologies. As a crucial part of our organization, this team is poised for substantial growth in the coming year … software development life cycle. Automating quality assurance processes and cloud resource allocation in software development. Requirements PhD or advanced Masters in Statistics, Computer Science, Machine Learning & AI, Mathematics, or Physics. Hands-on experience in at least three of the following areas: Generative AI, Supervised and Unsupervised Learning … tailored solutions to non-standard machine learning problems. Track record of industry recognition which could be in the form of high impact ML/AI conference contributions, contribution to high impact open source projects or performance in open source competitions such as Kaggle Benefits Attractive quarterly OKR bonus more »

Learning Researcher (London – visit the office 3 days a week) Xcede are delighted to be working with one of the most important ML Research Labs in the UK. The innovation hub sits within one of the world’s largest tech & manufacturing brands The team are working on prototypes … in a relevant field (Statistics, Computer Science, etc.) – PhD background strongly preferred (alongside further post-doc research) Excellent knowledge in a range of statistical, machine learning, and deep learning-based methodologies (classification, regression, etc. through to RNNs, signal processing, etc.) Ability to communicate complicated and often hugely more »

MACHINE LEARNING ENGINEER REMOTE £70,000 - £90,000 COMPANY: We have partnered with an AI based startup, who are focused on developing the latest AI and LLM solutions for businesses withing the property and real estate industry. They are looking for an experienced Machine Learning Engineer … as well as work closely with their clients. ROLE: You will be involved in implementing and fine tuning LLM's Designing, implementing and maintaining ML pipelines Define infrastructure requirements and architecture for Model Training and Inference Measure and review the performance of production models - Regularly conducting evaluation and tuning Collaborate more »

Data Scientist Mayfair - Hybrid £95,000-£104,000 + Progression + Additional Training + Package Excellent opportunity for a Data Scientist with experience with ML to join a business really pushing the world of AI offering the chance to make a tangible difference to the safety of thousands of people … experts in the field, and the opportunity to contribute significantly to the Machine Learning Team! This company use satellite imagery and AI, ML, and Computer Vision to help keep the merchant navies of the world safe from threats out in the ocean. They've refined their product where … products too! In this role you will join the Machine Learning department to extract information using algorithms, conduct exploratory data analysis, train ML models, clean data, and build and maintain both CI/CD Pipelines and Python-based applications. You'll also send a significant amount of time more »

Title: Senior Machine Learning Engineer (NLP) Type: Contract Rate: £500-600 per day Length: 6 months Location: London (Hybrid) We're working with a rapidly growing tech company using cutting-edge NLP and AI. Join us and be part of an innovative team building game-changing products! You … to push the boundaries of AI. We're Looking For: Proven experience building and deploying models (FinTech/healthcare preferred), strong grasp of statistics, ML techniques, and cloud platforms (AWS, Azure, GCP), and containerisation expertise (Docker, Kubernetes). Experience in agile environments (OKRs), excellent communication and collaboration skills, passion for … data science and mentoring, and a desire to share knowledge. PhD/Master's in CS, ML, or related field (preferred), innovative problem-solving skills, proficiency in Python and TDD practices, and a proactive learning mindset. If this sounds like you and you'd like to find out more more »

Job DescriptionTitle: Senior Machine Learning Engineer (NLP)Type: ContractRate: £500-600 per dayLength: 6 monthsLocation: London (Hybrid)We're working with a rapidly growing tech company using cutting-edge NLP and AI. Join us and be part of an innovative team building game-changing products!You will:Build … learn to push the boundaries of AI.We're Looking For:Proven experience building and deploying models (FinTech/healthcare preferred), strong grasp of statistics, ML techniques, and cloud platforms (AWS, Azure, GCP), and containerisation expertise (Docker, Kubernetes).Experience in agile environments (OKRs), excellent communication and collaboration skills, passion for data … science and mentoring, and a desire to share knowledge.PhD/Master's in CS, ML, or related field (preferred), innovative problem-solving skills, proficiency in Python and TDD practices, and a proactive learning mindset.If this sounds like you and you'd like to find out more, apply below with more »

Senior Machine Learning Engineer Location: Remote in the UK Be part of the AI revolution! We're on the lookout for an Engineering Lead to join our Professional Services team. Your objective? To tailor and integrate our cloud-based AI language model builder to suit a variety of … Computer Science or related disciplines. Over 7 years of experience in software engineering, including at least 3 years in leadership capacities. Proficiency in AI, machine learning, and NLP. Demonstrated aptitude in project leadership and communication. Familiarity with AI frameworks and cloud platforms. Why work with us? Purpose-Driven more »

Use models like regression and propensity models, time-series, ensemble methods and neural networks Seek out opportunities to make an impact using the latest ML methods (NLP and Gen AI) Be the go-to authority for data products and advanced ML solutions Translate complex data models to actionable insights End … to-end machine learning product development, from data wrangling to model tuning and deployment Provide insightful storytelling to stakeholders through compelling dashboards and visualisations Lead and oversee intricate data projects Coach and mentor more junior data scientists, fostering a collaborative, innovative, peer-review culture within the team Requirements … Minimum 4 years’ hands-on experience as a Data Scientist BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks more »

Machine Learning Engineer (LLM) £60-80k + equity Full time in the office (London) Ground-breaking AI Start-up La Fosse have partnered with an initiative AI Start-up which their solution optimises LLMs to enable commercial teams to conduct hyper-personalised campaigns at scale and create … If you’re interested in this role and are happy working 5 days a week in the office, apply now to find out more! Machine Learning Engineer (LLM more »

experiencing an exhilarating phase of expansion, poised to construct composable, modular technology platforms aimed at bridging the global SME funding gap. 🔎 Who the senior ML engineer should be : We seek an AI expert with a robust scientific background and scalable production-level engineering skills. The ideal candidate will have spearheaded … internal and external stakeholders. Skills and Experience: Proficient in project management, with a track record of timely project delivery. Strong programming, statistics, mathematics, and ML algorithm fundamentals, with Python expertise. Familiarity with ML/DS frameworks (e.g., XGBoost, Scikit-learn) and modern OOP practices. Proficient in development best practices and … version control (e.g., Git). Knowledgeable in memory, disk I/O, and CPU/GPU management. Experience with modern ML/Data/Cloud engineering stacks. Detail-oriented with excellent communication and collaboration skills. Experience mentoring junior team members. Desirable: Experience with Google Cloud, Vertex AI, Big Query, and more »

cutting-edge software and AI solutions. Their mission is to revolutionize industries through advanced technology, utilizing a combination of Java, Kotlin, React, JavaScript, MongoDB, Machine Learning, and Azure cloud services. They are dedicated to pushing the boundaries of what's possible and delivering impactful solutions to their clients. … technical specifications and solutions. Design and develop robust, scalable, and efficient software applications using Java, Kotlin, React, JavaScript, MongoDB, and other relevant technologies. Implement machine learning algorithms and integrate AI capabilities into software solutions to enhance performance and functionality. Work closely with DevOps teams to ensure smooth deployment … development, with a strong proficiency in Java, Kotlin, React, JavaScript, and MongoDB. Solid understanding of machine learning concepts and experience in applying ML algorithms to real-world problems. Hands-on experience with cloud platforms, preferably Azure, and expertise in deploying and managing applications on cloud infrastructure. Strong problem more »

day as this position holds massive future potential for growth.Your role will involve:Developing our web application written in Javascript and NextJS;Implementing backend machine learning and data services, and integrating them with our web application.Suggesting and leading internal tools for our team to use that will aid … deploying full-stack web applicationsQuantitative degree from a top universityThe following is DESIRABLE, not essential:Experience with Node.JS to a production levelFamiliarity with various machine learning APIsAn understanding of machine learning techniquesBenefits:Making a serious impact from day one. We're an agile company at the more »

Data Science team already in place who focus on recommendation systems and customer personalisation, the company now what to hire an MLOps Engineer/ML Engineer to focus on machine learning infrastructure and deployment tech. As the first person focusing solely on this skillset in the near future … we’ll need a capable and experienced engineer who is happy taking decisions. Responsibilities Deploy, optimise and maintain the machine learning models at the core of the company’s product offering. Focus on creating state of the art … recommendation system and graph network technology that is scalable and stable. Build APIs for the product. Drive smart and necessary DevOps decision within the ML function – MLOps. Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Significant commercial experience deploying and maintaining (MLOps) Machine Learning 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 »

as this position holds massive future potential for growth. Your role will involve: Developing our web application written in Javascript and NextJS; Implementing backend machine learning and data services, and integrating them with our web application. Suggesting and leading internal tools for our team to use that will … web applications Quantitative degree from a top university The following is DESIRABLE, not essential: Experience with Node.JS to a production level Familiarity with various machine learning APIs An understanding of machine learning techniques Benefits: Making a serious impact from day one. We're an agile company 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. Skills Computer Science or Software Engineering degree/BSc or higher Experience leading a Machine Learning/MLOps team Low ego management style Strong Python coding experience Experience with the SQL querying language Experience working with Docker both in more »

scalable solutions that unlock value for Cerberus desks, portfolio companies, or other businesses/investments. You’ll do this by designing, implementing, and deploying machine learning systems that help our desks and portfolio companies make better business decisions and ultimately drive value. You may also participate in due … matter expertise in valuable areas for the business. Requirements: degree in STEM field or equivalent. Advanced degree preferred but not required. knowledge of statistics, machine learning, forecasting, NLP, computer vision, optimisation. Python programmer with experience building data pipelines and statistical/machine learning models. Additional languages more »

venture-backed by 8VC, revenue-generating, and have multiple years of runway.Being part of our team means solving interesting problems at the intersection of machine learning and infrastructure. It also means committing to excellence, learning, and delivering great products to our customers in a high-velocity startup. … The role Our stack cuts across many technologies (front-end, backend, edge-computing, machine learning), and you will be responsible for a large part of our edge-computing stack powering Coram Point.This involves:Building edge applications processing vision data and communication layers for the compute-constrained edge devices.Deploying … deployed edge computers)/infrastructure management (we use Salt)/monitoring (we use Grafana)/video processing & streaming (we use Gstreamer)/experience interfacing ML models (we use PyTorch).High intrinsic motivation to succeed and ability to work hard. What we offer £80-120k base Company equity % in an more »

backed by 8VC, revenue-generating, and have multiple years of runway. Being part of our team means solving interesting problems at the intersection of machine learning and infrastructure. It also means committing to excellence, learning, and delivering great products to our customers in a high-velocity startup. … The role Our stack cuts across many technologies (front-end, backend, edge-computing, machine learning), and you will be responsible for a large part of our edge-computing stack powering Coram Point. This involves: Building edge applications processing vision data and communication layers for the compute-constrained edge … deployed edge computers)/infrastructure management (we use Salt)/monitoring (we use Grafana)/video processing & streaming (we use Gstreamer)/experience interfacing ML models (we use PyTorch). High intrinsic motivation to succeed and ability to work hard. What we offer £ 80-120k base Company equity % in more »

Description Higgsfield AI democratizes marketing video creation using proprietary foundational video models. Role Description This is a full-time on-site role for a Machine Learning Researcher at Higgsfield AI in the London Area, United Kingdom. Your day-to-day tasks will include training … large-scale world models and bringing them to production. Qualifications Strong software engineering skills and proficient in Python Have experience working with multi-modal ML pipelines Strong problem-solving and analytical thinking abilities Excellent communication skills and ability to work in a team Have experience of large-scale training Experience … in conducting research and implementing machine learning algorithms Master's or Ph.D. degree in Computer Science, Statistics, or related field more »