61 to 85 of 518 Machine Learning Jobs in London

with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be … Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. ● Insightful Storytelling: Masterful in elucidating complex data … experience-related problems such as workforce management, demand forecasting, or root cause analysis. ● 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 more »

with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be … Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. ● Insightful Storytelling: Masterful in elucidating complex data … experience-related problems such as workforce management, demand forecasting, or root cause analysis. ● 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 more »

Job Title : Senior AI/ML Engineer Location: London/Cambridge (hybrid) Salary : £90-120k About Us: I'm currently working with an industry pioneer who are looking for an exceptional AI Engineer as they continue to build the most comprehensive AI ecosystem ever! Specialising in cutting-edge solutions … MLOps and Deployment : Apply knowledge of MLOps principles and practices to streamline the development, deployment, and monitoring of machine learning systems. Deploy ML models into production environments. Requirements : Master's or PhD in Computer Science, Engineering, or a related field. 5+ years' experience with Python with strong coding … skills Familiar with object-orientated design methodology and application development in Python Proficiency with ML, LLMs, PyTorch Experience with Transformer models and modern ML techniques Excellent communication and collaboration skills, with the ability to thrive in a fast-paced and dynamic environment. Desirable : Experience with MLOps & Docker. How to Apply more »

Job Title : Senior AI/ML Engineer Location: London/Cambridge (hybrid) Salary : £90-120k About Us: I'm currently working with an industry pioneer who are looking for an exceptional AI Engineer as they continue to build the most comprehensive AI ecosystem ever! Specialising in cutting-edge solutions … MLOps and Deployment : Apply knowledge of MLOps principles and practices to streamline the development, deployment, and monitoring of machine learning systems. Deploy ML models into production environments. Requirements : Master's or PhD in Computer Science, Engineering, or a related field. 5+ years' experience with Python with strong coding … skills Familiar with object-orientated design methodology and application development in Python Proficiency with ML, LLMs, PyTorch Experience with Transformer models and modern ML techniques Excellent communication and collaboration skills, with the ability to thrive in a fast-paced and dynamic environment. Desirable : Experience with MLOps & Docker. How to Apply 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 »

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 »

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 »

Customer Success Manager London | AI - Machine Learning - Automation SaaS startup Hyper Growth - Series B Why should you apply? I am looking for an experienced Customer Success Manager to work with some of the largest and most complex customers to help them successfully embed some super sexy tech into … someone with a track record of making customers successful with complex technology while consistently meeting and over achieving targets. AI, Automation, Video, Camera Vision, Machine Learning/Vision would be the kind of tech you would be working with or a history of speaking with developers around need … independently and get things done Excellent communication and interpersonal skills, with attention to detail Have a passion for startups, digital transformation and AI and machine learning. As our Customer Success Manager You will be responsible for owning the full customer journey and life-cycle post sales and ensuring customers 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 »

the practice, as well as ensuring the successful delivery of cutting-edge AI solutions. Skills: Lead the formulation and execution of our AI and machine learning strategy Build and lead a top-tier team of machine learning engineers and data scientists. Collaborate across departments to identify … Natural Language Processing (NLP). Oversee the creation of computational models for predictive analytics, target identification. Cultivate a culture of innovation, collaboration, and continuous learning within the machine learning team. Strong all-round appreciation for AI fundamentals (ethics, governance, strategy, advisory, Gen AI etc) If this position more »

ML Developer – C++ and Python High-Frequency Proprietary Trading Firm London, UK Company Overview: Our client are a high frequency proprietary trading firm, where innovation meets opportunity. They're a dynamic team driven by cutting-edge technology and data-driven strategies. The mission is clear: to make a significant impact … innovation and excellence. Role Overview: They are seeking a C++ and Python Developer with expertise in Machine Learning, focusing on infrastructure development (ML Infra). In this role, you will work closely with the traders and researchers, and play a crucial part in enhancing their trading infrastructure. Your … longest standing teams in the business. Key Requirements: Proficiency in C++ & Python programming languages, with a solid understanding of software development principles. Experience applying Machine Learning techniques to infrastructure development, such as optimising data pipelines and building robust systems. Strong familiarity with cloud computing platforms and distributed computing more »

the development of production-grade algorithms benefiting students and educators. Senior Data Scientist – Key Responsibilities: - Take the lead in designing, developing, and refining advanced machine learning models aimed at personalising learning experiences, forecasting student outcomes, and improving the delivery of educational content - Employ statistical analysis and data … experts to seamlessly integrate data science solutions into the platform -Provide mentorship and guidance to junior data scientists and analysts, fostering a culture of learning and ongoing improvement within the team - Regularly interface with senior management or executive leadership on matters pertaining to data science - Stay abreast of the … latest advancements in data science, machine learning, generative AI, and educational technology - Uphold ethical standards in data usage, comply with privacy laws and regulations, and implement robust data governance practices to safeguard sensitive information pertaining to students and educators Senior Data Scientist – You: - 5+ years of data scientist more »

Founding Engineer – (Python, TensorFlow, PyTorch) London (Hybrid 1 Day a week) Salary up to £110,000 + Equity An opportunity for an experienced ML Engineer to join an Early-stage VC backed Healthcare platform using AI to manging patients care. Here you'll help to develop methods for building reliable … evaluating and monitoring performance of deployed real-world experiments Building and deploying impactful machine learning tools Be an active member of the ML and HealthTech communities Manage and maintain models for domain-specific applications Requirements Degree in Computer Science, Software Engineering, or a related field Solid experience with … Python Machine learning frameworks such as TensorFlow, PyTorch, and HuggingFace Experience of deploying ML-based applications Ideally Startup experience Able to work automatously Benefits Flexible working Equity options L&D budget Company discounts If you're interested in the ML or Health space, then this is the opportunity more »

AI products. Your contribution will underpin commercial/strategy decisions in the energy transition. We are looking for a Desk Data Scientist with strong Machine Learning skills, a (hands on) 'individual contributor' with excellent consulting skills and a strong technical/coding background. Responsibilities include: Thought leadership of …/global brand. Identification and prioritization for projects in a dynamic environment, with a keen eye for where ‘maximum value’ can be delivered. Applying machine learning models/optimization in creative ways to heterogeneous data sets. Taking concepts from POC into production/working with global development teams … Proven track record of developing trading strategies/insights for front office users • Experience presenting data visually (Plotly, D3, Tableau). • Time-series modelling (ML/econometrics) • Enterprise software development (code design, review, gitflow, etc.) • Cloud-based data science workflows (on AWS in particular) • Deep Learning (able to translate 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 »

machine learning models. We aim to make model deployments as easy and error free as code deployments. Google’s Best Practices for ML Engineering is our bible. Our models are trained to spot multiple types of fraud, using a variety of data sources and techniques in real time. … Research new techniques to disrupt fraudulent behaviour Investigate model performance issues (using your experience of debugging models). Requirements Significant experience building and deploying ML models using the Python data stack (numpy, pandas, sklearn). Understand software engineering best practices (version control, unit tests, code reviews, CI/CD) and … Being comfortable working with a hybrid team Experience with Go, C++, Java or another systems language. Nice to haves Experience with Docker, Kubernetes and ML production infrastructure. Tensorflow and deep learning experience. Experience using dbt. Benefits Flexible working hours, hybrid working model, office in Old Street and a 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 »

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 »

Learning projects! As a Data Scientist, you will be part of a small team of Data Scientists working on a range of ML projects, solving commercial challenges through a variety of Machine Learning techniques. Your responsibilities as a Data Scientist will include but not be limited … to: Solve operational challenges & problems through a variety of Machine Learning techniques. Create models and products to tackle significant business challenges. Generate new metrics, reports, and dashboards using historical data, real-time data, and predictive analytics to facilitate informed business decision-making. Gather data from diverse sources to … following: Min. 2 years commercial experience as a Data Scientist Strong experience building models Strong exposure solving operational and commercial challenges through Data Science & Machine Learning. Strong stakeholder management and communication skills Preferably background in operations/operational research and solving challenges in operations. Excellent use of python and more »