51 to 75 of 687 Machine Learning Jobs in London

Job DescriptionAI/Python/Data scientist/Machine Learning Engineer/Neural Networks/Deep Learning/LLMsRole: Lead Data ScientistLocation: Remote - Occasional Meetings in London (Client)Company: AI Analytics Start-UpSalary: up to £130,000 + BonusProjects: Neural Networks, NLP, Machine Learning, Deep … team to bring analytical prototypes to productionGenerate actionable insights for business improvementsLead a small team of data scientist on Neural Networks LLMs (CNN & RNN), ML, & NLPNLP/AI/ML/Spark/Python/Data scientist/Machine Learning Engineer/OCR/Deep LearningRequirementsBachelor's degree … or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)Experience with applied Neural Networks (CNN & RNN), LLMsDeep understanding of predictive modelling, machine-learning, clustering and classification techniques, NLP and algorithmsFluency in a programming language (Python, C,C++, Java, SQL)Experience Managing/leading teams in more »

solving 'under the bonnet knowhow of LLMs eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone etc. Youll be skilled in adapting and debugging ML systems across different environments, interested in all aspects of machine learning, such as parameter efficient adaptation of large language and vision models. With … ideas about productionizing ML systems, long context text summarization, production-grade ML systems etc. In short, you will have acquired special expertise in Transformers, be experienced with API wrappers like LangChain and Auto-GPT, have experience in evaluating LLMs and prompt engineering, semantic search, and embedding-based fine tuning of … Good knowledge of cloud computing environments is essential with a preference for AWS Knowledge in several of the following will be advantageous: AI/ML approaches to problems in the Life Sciences Engineering and data solutions to support bioinformatic workflow design and development, with a focus on ML/AI more »

Senior Machine Learning Engineer/AI Consultant Currently looking for multiple Senior Machine Learning Engineer's/Consultants to join a London based AI start-up building Generative AI at scale! *To be considered a strong candidate you will need strong customer facing consulting experience and … skills* In addition to this you will need to have... Strong Python experience. Worked in cross-functional teams combining data science, data engineering, BI, machine learning and product management. … Implement and deploy machine learning models at scale. An understanding of NLP Experience with LLM (Large Language Models) Previous experience product-ionising ML models If successful you can expect... Salary up to £135,000 Equity/share scheme x3 Days onsite & x2 days remote per week Private medical more »

Senior Machine Learning Engineer £90,000 - £120,000 in Central London – 2 days a week FinTech La Fosse is currently working with a fast-growing FinTech business which has become an industry leader within the funding and embedded finance industry, who are looking for a talented Senior Machine … listed below: project management skills, with a proven track record of delivering projects on time and within scope. fundamentals in programming, statistics, mathematics, and ML algorithms (neural networks, tree-based methods, optimizers, super/unsupervised learning, feature engineering, etc.). Strong experience with Python required understanding of the ML …/DS frameworks (XGBoost, Scikit-learn, Pandas, Numpy, etc.), and modular/modern OOP software design practices with a modern ML/Data/Cloud engineering technical stack If you’re interested in this role and feel you fit some of the requirements, apply through the advert to find out more »

Machine Learning | Fitness | Mobile | B2C | Python | AWS Gravitas has partnered with a scaling B2C mobile app business that is on a mission to build a leading fitness training platform to hire for a Senior Machine Learning Engineer to join their team on a permanent basis. Role … Senior Machine Learning Engineer Salary : £70,000 - £85,000 (flexible depending on experience) Benefits : Equity, 25 days holiday, Private health insurance, Pension & more Location : London (hybrid - 2/3 days per week in office) Skills/Experience we're looking for: 3+ years experience in a similar position … Proficient in Python programming Previous experience deploying models to production in a cloud environment ( preferably AWS ) End-to-end Machine Learning (Data wrangling > Model building > deployment) If this role is of interest, please apply with a copy of your up-to-date CV for review. We are meeting more »

Machine Learning Engineer - London (hybrid) - £90-125,000 + bonus numi is collaborating with a leading force in global analytics, reporting, and intelligence to recruit a Machine Learning Engineer! You'll be an integral part of a new team driving multiple greenfield projects. These initiatives encompass … for personalised experiences, and fostering AI adoption across the organization to enhance efficiency, among others. We're seeking an individual who can leverage their machine learning expertise to contribute not only to technical aspects but also to cultivate a thriving team culture. As a senior engineer, you'll … play a pivotal role in upholding high standards and best practices across the team and organisation. Key Requirements: 5+ years of experience in machine learning Prior experience in developing generative models Passion for tackling complex, transformative projects Proficiency in AWS, Python, PyTorch, TensorFlow, and Git Strong communication skills more »

Job DescriptionSenior Machine Learning Engineer£90,000 - £120,000in Central London – 2 days a weekFinTechLa Fosse is currently working with a fast-growing FinTech business which has become an industry leader within the funding and embedded finance industry, who are looking for a talented Senior Machine Learning … are listed below:project management skills, with a proven track record of delivering projects on time and within scope.fundamentals in programming, statistics, mathematics, and ML algorithms (neural networks, tree-based methods, optimizers, super/unsupervised learning, feature engineering, etc.). Strong experience with Python requiredunderstanding of the ML/… DS frameworks (XGBoost, Scikit-learn, Pandas, Numpy, etc.), and modular/modern OOP software design practiceswith a modern ML/Data/Cloud engineering technical stackIf you’re interested in this role and feel you fit some of the requirements, apply through the advert to find out more information.Senior Machine more »

Senior Machine Learning Engineer | Inside IR35 Contract | Marketing As a Senior Machine Learning Engineer, are you ready to redefine the future of marketing through the power of data and technology? As a Senior Machine Learning Engineer, you'll deploy and productionise predictive models aimed … in the creation of the best-in-class models, measurement and reporting We’d love to see: Strong proficiency with Python and SQL Extensive Machine Learning experience: recommendation, forecasting, predictive performance analysis & optimisation Experience with Snowflake, DataIQ or Databricks AWS experience – Redshift & Fast API NLP & Computer Vision experience more »

Senior Machine Learning Engineer | Agency | £550 Inside IR35 | Initial 3 Months We are seeking a Senior MLE to jump straight in and work with clients to understand their objectives and harness the power of data and technology for organisational success. What's will you be doing: Deploying machine learning models to analyse marketing campaign performance, customer segmentation, and behavior prediction Collaborating with cross-functional teams to integrate machine learning solutions into marketing platforms, ensuring seamless implementation and functionality What we'd love to see: Strong working Python and SQL proficiency Extensive Machine Learning more »

/2024, 17:27 Locations LONDON, LONDON, United Kingdom Job Schedule Full time JOB DESCRIPTION The Applied Innovation of AI team, a premier machine learning group within the Chief Technology Officer's office at JP Morgan Chase, addresses business critical priorities using innovative machine learning techniques. … levels. As a Lead Software Engineer at JPMorgan Chase within the Applied Innovation of AI (AI2) team, you will be part of an elite machine learning group strategically located within the CTO office. Your role will involve collaborating with data scientists and research/machine learning … modern web stacks. (VP) Contribute significantly to architecture and software management discussions & tasks Rapid prototyping & shorten development cycles for our software and AI/ML products: Build and automate and maintain our AI/ML data pipelines & workstream from data analysis, experimentation, model training, model evaluation, deployment, operationalization, and tuning more »

Software Engineer Machine Learning - Remote - £120K One of our clients who are a leading technology company are seeking a Software Engineer that is an expert in Machine Learning. Offering remote working, must be located in the UK. You will have the opportunity to build machine learning … tackle challenges relating to uses recommendation, matching, content discovery and categorisation. Skills You will have worked as a Software Engineer with a focus on machine learning or similar. Experience of developing and deploying state-of-the-art recommendation algorithms using Python and relevant libraries (e.g., TensorFlow/PyTorch … with AWS and technologies such as Docker, Kubernetes, EC2, ECR, ECS, Glue, Lambda, S3, Cloud Formation, Cloudwatch etc. Have proven experience deploying models and ML pipelines at scale, including experience using AWS SageMaker and/or Google Cloud AI. Support and drive implementation of features around NLP and LLMs. Tackle more »

from different businesses in the financial domain currently not available anywhere else. Write production-ready code and work with tech teams to ensure your ML solution is deployable at scale across multiple lines of business. Develop products that can change how corporate and investment banking is done today. Research and … develop innovative ML based solutions to some of cross-functions and operations hardest problems. Build robust data science capabilities which can be scaled across multiple business use cases. Collaborate with software engineering teams to design, deploy, and maintain production-grade ML models that can be integrated with strategic systems. Research … or PhD in a quantitative or computational discipline Considerable commercial experience in line with a capable individual contributor; developing and deploying data science and ML capabilities in production at scale. Strong Python development and debugging skills. Capable to develop high quality reusable code that can be leveraged from a larger more »

Job DescriptionSoftware Engineer Machine Learning - Remote - £120KOne of our clients who are a leading technology company are seeking a Software Engineer that is an expert in Machine Learning.Offering remote working, must be located in the UK.You will have the opportunity to build machine learning models … well as tackle challenges relating to uses recommendation, matching, content discovery and categorisation.SkillsYou will have worked as a Software Engineer with a focus on machine learning or similar.Experience of developing and deploying state-of-the-art recommendation algorithms using Python and relevant libraries (e.g., TensorFlow/PyTorch/… combined with AWS and technologies such as Docker, Kubernetes, EC2, ECR, ECS, Glue, Lambda, S3, Cloud Formation, Cloudwatch etc.Have proven experience deploying models and ML pipelines at scale, including experience using AWS SageMaker and/or Google Cloud AI.Support and drive implementation of features around NLP and LLMs.Tackle challenges related more »

Job DescriptionSenior Machine Learning EngineerLondon office 1-2 days per week£80,000 to £95,000 Salary + Bonus & BenefitsOVERVIEWA great opportunity for a Senior Machine Learning Engineer/Senior NLP Engineer with solid experience in fine-tuning Large Language Models to join a strong FinTech … scale-up with a high-calibre team in place. Your responsibilities as a Senior Machine Learning Engineer/Senior NLP/LLMs Engineer will include but not be limited to:Leverage Machine Learning/NLP techniques to build Large Language Models.Fine-tune Large Language models and … optimise them through applied Machine Learning.Collaborate with a strong team of Scientists/Engineers to deliver innovative and impactful work.YOUR SKILLS & EXPERIENCEA successful NLP Engineer/LLMs Engineer will have the following:Min. 4 years commercial experience in Natural Language Processing/NLP & ML.Strong coding skills in Python.Strong experience more »

technology and data-driven solutions. They’re seeking a seasoned Senior MLOps Engineer to join our dynamic team and drive the evolution of our machine learning operations.As a Senior MLOps Engineer, you will play a critical role in designing, implementing, and optimizing the MLOps infrastructure to support the … deployment and management of machine learning models at scale. This is an exciting opportunity to lead MLOps initiatives that will shape the future of insurance technology.Responsibilities:Lead the design and implementation of MLOps infrastructure and processes to support the end-to-end … lifecycle of machine learning models.Develop automated pipelines for model training, testing, deployment, and monitoring.Establish best practices for versioning, reproducibility, and scalability in ML workflows.Collaborate with cross-functional teams to integrate ML models into production systems.Implement robust monitoring and alerting mechanisms to track model performance and health.Requirements:Bachelor's more »

innovation with us as we harness cutting-edge techniques and stay abreast of the latest Google updates. Role Description We're seeking a talented Machine Learning Specialist for a full-time remote position. As part of our team, you'll spearhead the development and implementation of machine learning algorithms aimed at dissecting website data and uncovering pivotal factors for optimizing search engine rankings. Your role will involve collaborating with diverse teams to gather and analyze data, construct predictive models, and fine-tune algorithms to elevate website performance. Dive into the realm of data preprocessing, feature … selection, model training, and performance assessment in your daily tasks. Qualifications Solid foundation in Computer Science, Machine Learning, and Statistics Proficiency in Deep Learning techniques and algorithmic methodologies Expertise in data preprocessing and feature selection methodologies Familiarity with optimization techniques for refining machine learning models more »

technology and data-driven solutions. They’re seeking a seasoned Senior MLOps Engineer to join our dynamic team and drive the evolution of our machine learning operations. As a Senior MLOps Engineer, you will play a critical role in designing, implementing, and optimizing the MLOps infrastructure to support … the deployment and management of machine learning models at scale. This is an exciting opportunity to lead MLOps initiatives that will shape the future of insurance technology. Responsibilities: Lead the design and implementation of MLOps infrastructure and processes to support the end-to-end lifecycle of … machine learning models. Develop automated pipelines for model training, testing, deployment, and monitoring. Establish best practices for versioning, reproducibility, and scalability in ML workflows. Collaborate with cross-functional teams to integrate ML models into production systems. Implement robust monitoring and alerting mechanisms to track model performance and health. more »

Newly founded, AGITProp is an AI-driven quant research firm that is pushing the boundaries of algorithmic trading. Quant firms have leveraged AI and ML for years, but the increasing complexity and scale of global markets demand a more comprehensive and integrated approach. At AGITProp, we are leveraging the latest … from across tech and finance to help us achieve our aim. About the Role We seek an exceptional Senior AI Engineer with a strong machine learning and AI background to join our team. In addition to exceptional programming skills and knowledge of data structures and algorithms, the ideal … candidate should also be proficient in the mathematical underpinnings of deep learning and deeply understand modern AI techniques. As a Senior AI Engineer, you will be responsible for designing, developing, and implementing cutting-edge AI models. Responsibilities Work closely with the Director of AI research to design, develop, implement more »

scratch and create a powerful analytics engine fueled by cutting-edge technology and generative AI. You will be responsible for building, validating, and deploying machine learning models that drive our product's analytics engine. Operating in an Agile setting, you will be part of a cross functional team … Software Engineers, Product Owners and UX/UI Designers, to innovate and drive our product to new heights. Core Responsibilities: Build and deploy advanced machine learning models & design robust analytics engines for high-end digital products Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into … address objectives to business partners (both technical and non-technical audiences) Stay up-to-date with latest industry trends and advances in data science, machine learning and generative AI Actively contribute to a culture of transparency, learning, and innovation, promoting an open mindset across the organization Advocate more »

Our esteemed client, a leading hedge fund on a global scale, is currently in search of a Software Engineer with a specialisation in Machine Learning Infrastructure for their London office. This offers an enticing opportunity to work with cutting-edge technologies, focusing on the design and development of … frameworks for machine learning and tools for data science. This position is ideal for an engineer with a background in deploying machine learning models into real-world applications, rather than concentrating solely on model training. This role necessitates substantial proficiency in Kubernetes along with a strong … using Python for production use. Key Requirements: Demonstrated experience of at least 5 years as a Software Engineer, with a track record of deploying ML models into production. Bachelor's degree in Computer Science or a related field. Proficient in core technologies, particularly Kubernetes. Experience working with distributed systems. more »

Software Engineering role and will also require the ability to research and develop new solutions to complex problems. ILASP specialises in developing logic-based machine learning systems. Compared to other forms of machine learning, the main advantage of logic-based systems is that the learned concepts … explainable. We currently hold research contracts both with the UK military and with UK universities, in which we are leading research into logic-based machine learning and its applications. Our projects are diverse in nature, both in terms of their domains and in terms of the tools being … in meetings and demonstrations with customers. · Ensuring that deadlines for the deliverables of your projects are met. What we are looking for: Logic-based Machine Learning is a specialised area, and we do not necessarily expect previous experience in this area; much more important is your willingness to more »

to the deployment of NLP/LLM's! Your day-to-day responsibilities will include: You will be responsible for designing, implementing, and maintaining Machine Learning Models to address business requirements. You will actively engage with software throughout the entire development lifecycle. You will conduct experiments with various … performance, and make informed solution selections. Conduct comprehensive work spanning the entire data lifecycle, including data exploration, data pipeline development, insights and feature extraction, machine learning model creation, and deployment. Collaborate on consulting-style pilot projects aimed at helping clients gain a deep understanding of their data and … identifying problems that can be addressed through the platform. Collaborate closely with data scientists and data engineers to construct and implement machine learning models. Take an active role in leading team meetings and client workshops. Assist in establishing software engineering standards for the machine learning engineering more »

Job DescriptionMachine Learning Infrastructure EngineerPermLondon office 4 days per week Can offer sponsorship and relocationUp to £200KA YC-based start-up building the next-generation of helpful and honest AI is looking for a Machine Learning Infrastructure Engineer to join their founding team.They are looking for people … with skills directly linked to creating and managing high-performance computing (HPC) clusters across GPU/TPU chips + serving large machine learning models at scale. Not 1-10 GPU's but 1000's. You will also set up the hardware/infrastructure/the physical clusters that … allow the training models to train on.The role:Develop the core inference engine used to serve large machine learning models.Contribute significantly to the internal automated pipeline enabling high throughput training runs and rapid experimentation.Collaborate in defining and steering their evolving inference and training stack working with researchers, founders more »

MLE Engineer - Azure SR2 is recruiting for one of the UK's leading AI companies and looking for a Machine Learning Engineer (MLE) on an … outside IR35 contract basis. Responsibilities: Building software and infrastructure that leverages Machine Learning Creating reusable, scalable tools to enable better delivery of ML systems Improving existing systems to enable more scalable, reliable, and maintainable ML systems Working with our customers to help understand their needs Working with data … of cloud architecture, system design, security, and deployment Understanding of and interest in the full machine learning lifecycle, including deployment of trained ML models using common frameworks (Scikit-learn, TensorFlow, PyTorch) and ideally Azure managed ones (Azure ML Workspace, Azure ML Studio) Experience in Software Engineering including programming more »

looking for a Senior Machine Learning Engineer to join our new Knowledge Enrichment team at BenchSci. You will help design and implement ML-based approaches to analyse complex biomedical data such as experimental protocols and results from several heterogeneous sources, including both publicly available data and proprietary internal … discovery of high value implicit relationships, predicting novel insights/hypotheses. You will collaborate with your team members in applying state of the art ML and graph ML/data science algorithms to this data. You are comfortable working in a team that pushes the boundaries of what is possible … with cutting edge ML/AI, challenges the status quo, is laser focused on value delivery in a fail-fast environment You Will: Analyse and manipulate a large, highly-connected biological knowledge graph constructed of data from multiple heterogeneous sources, in order to identify enrichment opportunities and strategies. Work with more »