151 to 175 of 927 Machine Learning Jobs in London

Science Manager to lead a core team responsible for critical models inside their product. We're in need of a leader to manage a team of excellent Data Scientists & Machine Learning Engineers as the business continues to grow & invest in itself. Someone who can work alongside key business stakeholders, driving the development of the main product through best … in-class Machine Learning solutions. Looking for a role that combines technical brilliance with broader strategy? Check out the summary below! 💰 Salary: £120,000 + bonus 💻 Benefits: Uncapped bonus structure, work from abroad etc. 🚀 Industry/Type of business: Fintech 🏠 Remote working: Hybrid, London 🧩 Interview process: 3 stages 📢 Reporting to: Senior Engineering Manager & C-Suite 👏 Company size … manage a team of 7 Machine Learning focused Data Scientists, including senior IC's and juniors Strategic skills in planning, roadmapping & team management The hands-on classic ML skills needed to be an effective over-the-shoulder manager driving team growth & expertise (80% hands-off, 20% hands-on) Python, SQL, Snowflake etc. The ability to engage a broad More ❯

Speechmatics is a cutting-edge applied AI Research company that is breaking down cultural barriers by building diverse and inclusive speech technology. We are looking for an experienced Machine Learning Engineer who can help us advance our automatic speech recognition (ASR) engines for Flow, our new Conversational AI companion and create interactive voice interfaces of the future that … of audio and billion parameter modelswhich train across dozens of GPUs. It's all about finding bottlenecks across our 50+ languages. Our main research focuses arelarge-scale self-supervised learning, building state-of-the-art speech pipelines and breaking ground on our own emotive text-to-speech (TTS) models. What you'll be doing Working with a diverse group … and started on projects in your first few days. In addition, having a very collaborative culture, you will often be pair programming with a colleague on streamlining our production ML pipelines, reviewing other folks' code and suggesting new ways to tackle a tough real time factor (RTF) optimisation problem, as well as brainstorming novel approaches for analysing model predictions with More ❯

and customer events while contributing to technical blog posts and educational materials. Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models like YOLO11 to the community. 🛠️ Skills and Experience 5+ years of experience in Computer Vision, Machine Learning, or applied AI roles. Excellent … resilient, and able to communicate clearly with technical and non-technical stakeholders. Proficiency in Python and familiarity with the YOLO ecosystem. Hands-on experience with OpenCV, PyTorch, and classical ML/CV concepts. Strong understanding of end-to-end model lifecycles, including data collection, preparation, training, evaluation, and deployment. Experience with Docker and comfort working across Linux, macOS, and Windows … HUB. Gear: Brand-new Apple MacBook and Apple Display provided. Team : Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. More ❯

and customer events while contributing to technical blog posts and educational materials. Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models like YOLO11 to the community. 🛠️ Skills and Experience 5+ years of experience in Computer Vision, Machine Learning, or applied AI roles. Excellent … resilient, and able to communicate clearly with technical and non-technical stakeholders. Proficiency in Python and familiarity with the YOLO ecosystem. Hands-on experience with OpenCV, PyTorch, and classical ML/CV concepts. Strong understanding of end-to-end model lifecycles, including data collection, preparation, training, evaluation, and deployment. Experience with Docker and comfort working across Linux, macOS, and Windows … HUB. Gear: Brand-new Apple MacBook and Apple Display provided. Team : Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. More ❯

of environments and scenarios. Execute complex drone missions with precise data collection objectives, such as aerial mapping, 3D reconstruction, obstacle detection, and object tracking. Collaborate closely with AI engineers, machine learning specialists, and autonomous systems teams to ensure data collection aligns with the specific requirements of AI model training. Perform post-flight data quality checks and initial preprocessing … applications. Expertise in flying drones equipped with advanced sensors such as LiDAR, thermal cameras, RGB cameras, and multispectral sensors. Familiarity with the nuances of autonomous flight, sensor integration, and machine learning workflows, especially those that involve real-time data processing. Strong understanding of how drone-collected data is used for AI training, including its role in training AI … for perception, navigation, and decision-making. Experience in using software for flight planning, such as Pix4D, DroneDeploy, or similar platforms, and geospatial data analysis tools. Familiarity with machine learning concepts, especially those related to computer vision (e.g., image segmentation, object detection, and tracking) and autonomous navigation systems. Basic understanding of geospatial data processing, photogrammetry, and 3D reconstruction techniques More ❯

voice across all technical content, ensuring it aligns with the Ultralytics brand. Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models to the community. 🛠️ Skills and Experience 5+ years of experience in technical writing, preferably for a developer audience in the AI or software industry. … on experience with static site generators like MkDocs or Sphinx. Basic proficiency in Python to understand and document code examples and APIs. A strong interest in or experience with machine learning, computer vision, and object detection models like YOLO. Experience documenting APIs, SDKs, and other developer tools. Knowledge of SEO principles and how to apply them to technical … projects. Gear: Brand-new Apple MacBook and Apple Display provided. Team : Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. More ❯

voice across all technical content, ensuring it aligns with the Ultralytics brand. Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models to the community. 🛠️ Skills and Experience 5+ years of experience in technical writing, preferably for a developer audience in the AI or software industry. … on experience with static site generators like MkDocs or Sphinx. Basic proficiency in Python to understand and document code examples and APIs. A strong interest in or experience with machine learning, computer vision, and object detection models like YOLO. Experience documenting APIs, SDKs, and other developer tools. Knowledge of SEO principles and how to apply them to technical … projects. Gear: Brand-new Apple MacBook and Apple Display provided. Team : Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. More ❯

voice across all technical content, ensuring it aligns with the Ultralytics brand. Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models to the community. 🛠️ Skills and Experience 5+ years of experience in technical writing, preferably for a developer audience in the AI or software industry. … on experience with static site generators like MkDocs or Sphinx. Basic proficiency in Python to understand and document code examples and APIs. A strong interest in or experience with machine learning, computer vision, and object detection models like YOLO. Experience documenting APIs, SDKs, and other developer tools. Knowledge of SEO principles and how to apply them to technical … projects. Gear: Brand-new Apple MacBook and Apple Display provided. Team : Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. More ❯

voice across all technical content, ensuring it aligns with the Ultralytics brand. Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models to the community. 🛠️ Skills and Experience 5+ years of experience in technical writing, preferably for a developer audience in the AI or software industry. … on experience with static site generators like MkDocs or Sphinx. Basic proficiency in Python to understand and document code examples and APIs. A strong interest in or experience with machine learning, computer vision, and object detection models like YOLO. Experience documenting APIs, SDKs, and other developer tools. Knowledge of SEO principles and how to apply them to technical … projects. Gear: Brand-new Apple MacBook and Apple Display provided. Team : Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. More ❯

Location: dmg media HQ - High Street Kensington, London, W8 Position: Permanent About the Role We are seeking a motivated ML Engineer/Data Engineer to join our Data Engineering team and help evolve our data and machine learning platforms. In this role, you'll work at the intersection of machine learning and data engineering - designing and … maintaining scalable data pipelines, supporting analysts and stakeholders with reliable datasets, and deploying ML models into production at scale. You'll play a critical role in ensuring both the data foundations and the ML systems are robust, efficient, and impactful.The ideal candidate is pragmatic, collaborative, and passionate about solving complex problems with data and machine learning. Main Responsibilities Collaborate … with data analysts to create ML models from prototype to production Design, build, and maintain data pipelines and feature engineering workflows Deploy, monitor, and optimize ML models and pipelines in production Implement MLOps best practices including CI/CD, experiment tracking, and model monitoring Support and evolve the current data warehouse and cloud infrastructure Ensure data quality, validation, and governance More ❯

while advancing the state-of-the-art.We are a venture backed company founded by professionals with experience spanning machine learning, trading, and quantitative research. As an experienced ML expert in the Data Science team, you will part of an innovative team of machine learning researchers, engineers, and domain experts. Here you will have the opportunity to … You will gain experience of company and culture creation in still early stage of our start-up journey. The Role: Provide scientific depth in a data science team including ML and NLP scientists and linguists. Design new ML tasks from raw data through new ML methods to finalised products that will be used by our customers. Drive innovation on tasks … that are in a specialised domain and do not conform to standard NLP tasks. Think creatively and innovatively to produce effective models and complete ML pipelines. Some problems you might work on: Automated flagging of cases where model predictions might be incorrect. Building more efficient data annotation strategies to fine-tune an LLM. Requirements: MSc with enough research experience (industry More ❯

vision to transform lives with trusted financial services that transcend borders. About the Role: We're looking for a Machine Learning Engineer to design and build scalable ML models that power critical treasury decisions. You will focus on leveraging advanced algorithms-from real time currency exposure forecasting to automated hedging strategies-to improve Remitly's overall risk management … London reporting to the Head of Treasury Analytics and Data Science, and involves collaboration across global teams, requiring strong communication and coordination skills. You Will: Develop, deploy, and monitor ML models that forecast FX exposure, optimise hedging, and improve liquidity planning. Build predictive cash flow models and scenario simulations to inform funding strategies. Enhance our analytics platform with automation, feature … results to stakeholders, including senior leadership. You Have: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. 6+ years of experience in ML Engineering or Data Science (finance, fintech, or treasury a plus). Proficiency in Python-including pandas, scikit learn, TensorFlow/PyTorch, LightGBM/XGBoost-and experience with SQL. Hands on More ❯

trust in every transaction. Our product suite includes USDT and digital asset tokenization services, energy solutions for eco-friendly Bitcoin mining, data and privacy-focused sharing apps, and digital learning initiatives that empower individuals to thrive in digital and gig economies. About the job At Tether, we are at the forefront of integrating artificial intelligence with brain-computer interface … and representation learning. Identify bottlenecks in data processing pipelines and devise solutions to improve performance and reliability. Maintain high standards of code quality, organization, and automation across projects. Adapt ML and neural network algorithms to optimize performance in distributed clusters and GPUs. Write and revise papers, present at conferences, and disseminate results. Basic Qualifications Degree in Computer Science, Statistics, Informatics … Physics, Math, Neuroscience, or another quantitative field. 3+ years of industry or research experience. Strong programming skills in Python; experience developing ML algorithms or infrastructure using Python and PyTorch. Experience in deep learning techniques (supervised, semi-supervised, self-supervised) and/or generative modeling. Strong scientific background; ability to formulate and test hypotheses with proper experiments, draw conclusions, and More ❯

Overview The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to build Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems. Responsibilities Lead the development of GenAI algorithms and modeling techniques to advance the state of the art with LLMs, collaborating … sources and large-scale computing resources to accelerate advances in GenAI. Basic Qualifications PhD, or Master's degree and 4+ years of applied research experience 4+ years of building machine learning models for business applications Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Preferred Qualifications … experience with Generative Artificial Intelligence (GenAI) technologies and Large Language Models (LLMs) Experience with patents or publications at top-tier peer-reviewed conferences or journals Experience with popular deep learning frameworks, including PyTorch Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County More ❯

make this vision a reality. The ideal candidate will have a track record of writing and shipping quality, well-documented and well-tested software – preferably in the AI/ML industry. This person should be comfortable with modern, cloud-native computing, and with continuous development and production deployment on cloud platforms to large user populations. Educational or professional background in … a plus but is not necessary; passion to help therapies for new and existing diseases, and a pattern of continuous learning and development is mandatory. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to … work. Our leaders will be committed to your career and development from day one. Key Responsibilities Back end development for a Python web application. Integration of AI/ML components with frontend, backend, data and compute infrastructure. Responsible for high quality software implementations according to best practices, including automated test suites and documentation. Develop, measure, and monitor key metrics for More ❯

make this vision a reality. The ideal candidate will have a track record of writing and shipping quality, well-documented and well-tested software – preferably in the AI/ML industry. This person should be comfortable with modern, cloud-native computing, and with continuous development and production deployment on cloud platforms to large user populations. Educational or professional background in … a plus but is not necessary; passion to help therapies for new and existing diseases, and a pattern of continuous learning and development is mandatory. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to … work. Our leaders will be committed to your career and development from day one. Key Responsibilities Back end development for a Python web application. Integration of AI/ML components with frontend, backend, data and compute infrastructure. Responsible for high quality software implementations according to best practices, including automated test suites and documentation. Develop, measure, and monitor key metrics for More ❯

business challenges, developing models, and ensuring seamless deployment into production environments. Key Responsibilities Collaborate with clients to identify opportunities for AI-driven innovation. Design, develop, and optimise AI/ML models across areas such as machine learning, natural language processing, and computer vision. Perform data analysis and preprocessing to prepare datasets for model training. Deploy AI models into … support on AI tools and best practices. Stay current with emerging trends and advancements in AI technologies. About You The successful candidate will have: Proven experience delivering AI and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google More ❯

business challenges, developing models, and ensuring seamless deployment into production environments. Key Responsibilities Collaborate with clients to identify opportunities for AI-driven innovation. Design, develop, and optimise AI/ML models across areas such as machine learning, natural language processing, and computer vision. Perform data analysis and preprocessing to prepare datasets for model training. Deploy AI models into … support on AI tools and best practices. Stay current with emerging trends and advancements in AI technologies. About You The successful candidate will have: Proven experience delivering AI and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google More ❯

business challenges, developing models, and ensuring seamless deployment into production environments. Key Responsibilities Collaborate with clients to identify opportunities for AI-driven innovation. Design, develop, and optimise AI/ML models across areas such as machine learning, natural language processing, and computer vision. Perform data analysis and preprocessing to prepare datasets for model training. Deploy AI models into … support on AI tools and best practices. Stay current with emerging trends and advancements in AI technologies. About You The successful candidate will have: Proven experience delivering AI and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google More ❯

Senior ML Platform Engineer (London) - Artificial Intelligence Location London Business Area Engineering and CTO Ref # Description & Requirements Bloomberg's Engineering AI department has 350+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision … dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built … of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most. We are looking for Senior ML Platform Engineers with strong expertise and passion for building platforms for (Gen) AI applications. As a Senior ML Platform Engineer, you will have the opportunity to create a more cohesive More ❯

build and refine machine learning models that deliver genuine commercial impact. What You'll Be Doing: Work closely with fellow data scientists to explore how AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision … using Python and modern ML libraries, all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date with the latest developments in data science and AI to drive innovation. Present insights, results, and model performance clearly to both technical and non-technical stakeholders. Ensure your workflows are reproducible and well … documented, including experiment tracking and model lineage. What You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine More ❯

build and refine machine learning models that deliver genuine commercial impact. What You'll Be Doing: Work closely with fellow data scientists to explore how AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision … using Python and modern ML libraries, all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date with the latest developments in data science and AI to drive innovation. Present insights, results, and model performance clearly to both technical and non-technical stakeholders. Ensure your workflows are reproducible and well … documented, including experiment tracking and model lineage. What You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine More ❯

NLP, and more to fuel scalable business growth and operational excellence. Role Scope Lead the identification of opportunities and risks in a fast-evolving competitive landscape, using AI/ML to deliver measurable business value & growth. Understand and maintain a RADAR of technologies, in order to understand the risk and reward profile of selecting a technology to capitalise on an … a background in computer science, machine learning, data science or a related STEM field (degree or equivalent experience). Hands-on experience developing and deploying production-grade ML models, including advanced RAG (retrieval-augmented generation) systems. Deep expertise in Generative AI, LLMs, NLP, and Knowledge Graphs-with a track record of translating complex models into real-world business … solutions. Strong engineering fundamentals, including DevOps, CI/CD, and secure ML/AI pipelines (DevSecOps). Highly proficient in Python, SQL, and key AI/ML frameworks (e.g., PyTorch, TensorFlow). Ability to mitigate model hallucination, optimise performance, and lead governance around AI risk and ethical deployment. Ready to Transform the Future? This a career-defining opportunity working within More ❯

a reality. The ideal person for this role will have a track record of writing and shipping quality, well-documented and well-tested software – preferably in the AI/ML industry. They should be comfortable with modern, cloud-native computing, and with continuous development and production deployment on cloud platforms to large user populations. Educational or professional background in the … a plus but is not necessary; passion to help therapies for new and existing diseases, and a pattern of continuous learning and development is mandatory. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to … your career and development from day one. Key Responsibilities Front end implementation for a React application. Visualizing and interacting with scientific data and workflow progression. Integration of AI/ML components with frontend, backend, data and compute infrastructure. Responsible for high quality software implementations according to best practices, including automated test suites and documentation. Develop, measure, and monitor key metrics More ❯

to explain data science principles with clarity to non-technical stakeholders when required * Extensive knowledge of Python programming principles including object-oriented programming, performance optimisation * Experience developing & deploying productionised Machine Learning applications on a cloud platform (GCP ideal, AWS & Azure also acceptable) * Experience with common Python packages for Machine Learning - examples include PyTorch, TensorFlow, XGBoost, scikit … Some knowledge of containerisation & use of tools like Docker & Docker Compose Nice-to-haves (Mix of the following but not all essential): * Experience working with Google Cloud products for ML including Vertex AI Pipelines & BigQuery * Experience with dbt (data build tool) * Previous experience working with advertising data * Experience with FastAPI or other Python API frameworks * Experience with dashboarding tools such More ❯