26 to 50 of 652 Machine Learning Jobs in London

business at the forefront of cutting-edge technology are seeking a talented Staff Machine Learning Engineer to join one of their pioneering ML teams. In this role, you will have the opportunity to work on one of a kind projects that shape the future of the business, impacting … company continues to grow. This role is an opportunity for a Staff Machine Learning Engineer who is passionate about harnessing AI and ML to drive innovation and solve complex problems. You will shape the design of the AI systems (classical ML & LLMs) on AWS and AWS Sagemaker and … technical solutions. Utilize AWS services to design and implement robust machine learning pipelines. Research and implement state-of-the-art AI/ML algorithms to drive innovation and improve product capabilities. Mentor and coach junior team members, fostering a culture of continuous learning and growth. Demonstrate technical more »

Senior NLP Machine Learning Engineer London office x1-2 days per week £80,000 to £95,000 Salary + Bonus & Benefits OVERVIEW A 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 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 … an AI led culture throughout the business YOUR SKILLS & EXPERIENCE Degree in a STEM subject Min. 4 years commercial experience in NLP/Transformers & ML Excellent experience with Deep Learning models Strong production ready coding skills in Python Strong experience in fine-tuning Large Language Models End-to-end more »

hereYou are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical … ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery.The Machine … us achieve that goal by:Building software and infrastructure that leverages Machine Learning;Creating reusable, scalable tools to enable better delivery of ML systemsWorking with our customers to help understand their needsWorking with data scientists and engineers to develop best practices and new technologies; andImplementing and developing Faculty more »

Senior Machine Learning Engineer - London - Exciting Health-Tech Start-Up 🚀 📢 Permanent + Fun Social Team + Share options Are you a Machine Learning Engineer/Software Engineer looking for an exciting and challenging position? Here’s your chance to be a part of a fast-growing … experiencing super high growth at the moment, and have grown from 3K users to 100k users in 14 months - over 3000% growth! As a Machine Learning Engineer on their talented engineering team, you'd be working cross-functionally with other teams to build the company's product. This … is a fantastic opportunity for a mid-senior Machine Learning Engineer to work closely with the founders and CTO to make an impact and shape the future of the company. You'd be looking to out perform their other competitors and work with some of the best minds more »

AI/Python/Data scientist/Machine Learning Engineer/Neural Networks/Deep Learning ? LLMs Role: Lead Data Scientist Location: Remote - Occasional Meetings in London (Client) Company: AI Analytics Start-Up Salary: up to £130,000 + Bonus Projects: Neural Networks, NLP, Machine Learning, Deep Learning Responsibilities Analyse raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to … bring analytical prototypes to production Generate actionable insights for business improvements Lead a small team of data scientist on Neural Networks LLMs (CNN & RNN), ML, & NLP NLP/AI/ML/Spark/Python/Data scientist/Machine Learning Engineer/OCR/Deep Learning more »

our R & D track by owning the evolution of our leading real time machine learning audio algorithms. If you are an experienced ML/AI Researcher with a strong academic background and prior experience using a variety of ML models on music, speech, or audio data give us … will include: Conducting research on deep learning applied to audio, going beyond the state of the art Evaluating and stress-testing AI/ML models to ensure they are real-world ready and suitable for production Optimising and shrinking ML models to enable them to operate with minimal memory … needs and low processor overhead in embedded environments Working with ML engineers to build exceptional real time audio deep learning algorithms Covering all aspects of modern ML workloads, including model research, implementation, training, evaluation, inference Communicating results internally with colleagues from different teams, and externally Writing internal reports and more »

and Machine Learning solutions. With an ever-growing emphasis on technological advancements in this realm, the business has capitalised on AI and ML technology, helping to provide valuable insights to clients in the social wellbeing and healthcare space. The company was founded by two ex-Harvard professors and … the role. Work to high security and ethical standards – working as part of an engineering team dedicated to security and security engineering. Working on ML Model Pipelines, fine tuning LLMs for optimal performance. Key technologies required: Deep understanding of Machine Learning, Machine Learning Architecture, Service Oriented … start/finish, compressed hours Company Pension Strong personal investment to continued training/development If you’ve got a passion for AI and ML and want to work in one of the most exciting start-ups within the UK at present, please send your CV to David @ neartechsearch.com or more »

and Microsoft Turing. You will work as part of an organization that brings together talent in the areas of large language models, recommender systems, machine learning, deep learning, graph learning, information retrieval, software engineering, and responsible AI. We value and encourage diversity in the belief that … Statistics, or related areas. Candidates with master’s degree with industry experience or publication record in the areas of Large Language Models, Information Retrieval, Machine Learning, or Natural Language Processing are considered as well.Proficient years managing research or engineering teams in Machine Learning, Natural Language Processing … shipping applied research to productionExcellent problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms, especially at scaleStrong people leadership skills to influence others, with the ability to understand team dynamics, retain, attract, and develop team more »

Machine Learning Engineer This role is a unique opportunity to combine technical challenges with creativity in a collaborative, high-standard work environment. By joining this company, you'll not only be part of a creative and open work culture focused on innovation and excellence but also have the … of Machine Learning Engineer will include: Develop and deploy machine learning algorithms using Python, addressing complex sports analytics problems. Integrate ML systems into existing infrastructure, leveraging cloud services, Docker and Kubernetes. Maintain and improve ML models, employing frameworks like PyTorch and TensorFlow. Follow Agile methodologies, ensuring … include: A minimum of two years industry experience in machine and deep learning development. Familiarity with cloud computing, data pipelines, and distributed ML technologies. Strong programming skills in Python, and experience with ML frameworks. Knowledge in Agile methodologies, CI/CD tools (e.g., GitHub Actions, Jenkins). Please 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 models, assess … their 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 team and provide support more »

Machine Learning Infrastructure Engineer Perm London office 4 days per week Can offer sponsorship and relocation Up to £200K A 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. … 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 … and steering their evolving inference and training stack working with researchers, founders and advisors to develop the next generation of high availability LLM’s. ML engineering experience: Experienced in creating and managing high-performance computing clusters across GPU/TPU, preferably in PyTorch. Proficient in efficient serving of large machine more »

knowledge in the world. In fact, we're probably one of the largest already. Our platforms can be viewed here: www.beamazed.media We need a machine learning engineer to work in our growing, dynamic team. We are building internal products to help our team perform, execute and excel at … inform and shape our future content pipeline. We are looking for an entrepreneurial mindset to optimise our company’s internal and external performance using machine learning capabilities and tooling. This will span from building tooling for our teams’ workflows to predictive analytics on our vast amounts of video … job. You should aspire to lead and own a media company one day as this position holds massive future potential for growth. As a machine learning engineer, your role will involve: Exploring and analysing our data to identify trends and predictive models that will optimise our video’s more »

providing expert services to a diverse range of industries across the UK. We are searching for a talented and experienced Machine Learning (ML) Engineer, specifically in the Natural Language Processing area, implementing LLM, RAG, knowledge graphs, and multi-agents, who can be part of our energetic, friendly, driven … and focused team. Role Description This is a contract (remote) position for a Machine Learning/Generative AI Engineer at Alphaleon. Responsibilities You will be responsible for developing and implementing Generative AI solutions using LLM, RAG, and RAG with Agents. Provide consultancy on Gen AI-based solutions to … clients. We are a fully remote company but are ideally seeking a candidate based in the UK. Requirements 3+ years of experience in machine learning or AI research and development, with a portfolio of projects demonstrating expertise in Natural Language Processing (NLP), Large Language Models (LLM), Retrieval Augmented more »

experienced Machine Learning Engineer to work an exciting project, utilising the latest technologies. You will work closely with data scientists to take ML models from research to production while upholding engineering best practices. Responsibilities: Experience working with Data Scientists to understand ML models and translate them into robust … scalable production code using Python and tools like TensorFlow. Build and maintain ML pipeline architecture for activities including data ingestion, model training/retraining, evaluation, and deployment. Leverage cloud platforms (GCP) to create ML workflow orchestration and integrate with production systems, Vertex AI. Monitor and maintain ML systems in production … implement improvements. Define software engineering standards for building, documenting, testing and deploying machine learning code. Stay up-to-date with advancements in ML ops and DevOps for machine learning systems. Requirements: 3+ years’ experience building and deploying machine learning systems. Expert in Python. Knowledge more »

Machine Learning Engineer As a Machine Learning Engineer, do you want to join an innovative AI R&D organisation developing cutting-edge AI solutions?Do you enjoy fine-tuning LLMs and deploying models to production as a Machine Learning Engineer?As a Machine Learning Engineer, your role will be key for Application Development. You'll be at the forefront of their delivery function implementing, fine-tuning and deploying Large Language Models (LLMs) and Transformer Models in the PropTech space.You'll report into the CTO and work closely with Analysts and Engineers … to take ownership over product delivery, if you have a product mindset and enjoy problem solving keep reading!Your role:Create, implement, and maintain ML Model pipelines.Fine-tune LLMs for optimal performance.Evaluate and fine-tune the performance of production models.Collaborate with the software development team to deploy models to production.We 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 »

/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 »

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 »

Role Description This is a contract Machine Learning with AI Tutor role located in Greater London. As a Tutor, you will be responsible for delivering high-quality training and support to students in the field of Machine Learning and Artificial Intelligence. This role involves assisting students … in understanding concepts, providing guidance on projects, conducting assessments, and facilitating interactive learning experiences. Please note that this is an on-site role and traveling required. Must be available from the 2nd week of May onwards, and travel is required. UK passport required due to nature of work Qualifications … Strong knowledge and practical experience in Machine Learning and Artificial Intelligence Experience in teaching or tutoring in the relevant field Excellent communication and presentation skills Ability to tailor teaching methods and materials to meet the diverse learning needs of students Strong problem-solving and analytical thinking skills 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 »

responsible for designing, implementing, and maintaining LLM Machine Learning Models to address business requirements.You will be developing Knowledge Graphs & Fine-tuning LLM ML Models.You will actively engage with software throughout the entire development lifecycle.You will conduct experiments with various models, assess their 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 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 team and provide support across various disciplines under the guidance of leadership.Your Skills and Experience:MSc or PhD level education in STEM subjects.Proven expertise in implementing Machine Learning and NLP models using Bert, Roberta, GPT4 more »

Trade Data Analyst and Optimizer to join our dynamic team in London. This role will involve scrutinizing data generated from our trading strategies, using machine learning to optimize parameters, and building corresponding automated models to continuously fine-tune our trading strategies. The successful candidate will have strong skills … in machine learning, Python, SQL, data feature engineering, and Java. Key Responsibilities: 1. Analyse post-trade data to derive meaningful insights that can help refine our trading strategies. Use machine learning techniques to optimize trading parameters and predict trading outcomes. 2. Build and maintain automated models … databases, including the ability to write optimized queries. Strong knowledge of machine learning algorithms and their application, including the ability to use ML for parameter optimization and automated model building. Experience in data feature engineering. Understanding of financial markets and trading strategies is a plus. Excellent problem-solving 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 »

We provide and develop the innovation initiatives across a large array of our audit clients. We do this through the implementation of robotics, AI, machine learning and advanced analytics tools, leveraging the best technologies currently on the market. The team works with audit clients and internal audit stakeholders … advise senior stakeholders on ways to automate and reimagine audits, implementing innovative technologies, such as Python, R, SQL, Alteryx, Power BI, Process Intelligence and Machine Learning. Building a strong understanding for the role data and analytics plays in the modern day audit. You’ll get to work on technical … assignments enabling you to develop skills in Advanced Analytics, Machine Learning, Data Engineering and sophisticated visualisation tools to provide clients with the PwC digital audit experience. This means that you’ll develop the technical, business and soft skills around the topic of data and analytics that our clients more »

We provide and develop the innovation initiatives across a large array of our audit clients. We do this through the implementation of robotics, AI, machine learning and advanced analytics tools, leveraging the best technologies currently on the market. The team works with audit clients and internal audit stakeholders … advise senior stakeholders on ways to automate and reimagine audits, implementing innovative technologies, such as Python, R, SQL, Alteryx, Power BI, Process Intelligence and Machine Learning. Building a strong understanding for the role data and analytics plays in the modern day audit. You’ll get to work on technical … assignments enabling you to develop skills in Advanced Analytics, Machine Learning, Data Engineering and sophisticated visualisation tools to provide clients with the PwC digital audit experience. This means that you’ll develop the technical, business and soft skills around the topic of data and analytics that our clients more »