51 to 75 of 995 Machine Learning Jobs in London

Take the next step in your career. The role We are looking for an exceptional Machine Learning Engineer to work in our ML and HPC Architecture team, identifying and working with tools at the cutting‐edge of machine learning. You will work closely with a wide range … internal G‐Research teams, including Quant Researchers, Quant ML engineers and other engineering groups - as well as with external partners and experts. You will collaborate across disciplines on a broad set of initiatives to help G‐Research leverage the next generation of machine‐learning technologies. Past projects have ...

this role you will work with high levels of autonomy and be responsible for the design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions … Skills and Experience****Requirements*** *BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.** *Multiple years experience of delivering novel ML solutions to customers and internal stakeholders.** *Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices.** *Experience developing robust ML ...

datasets, with applications spanning molecular generation, protein representation learning, and uncertainty-aware prediction systems. This role is ideal for someone excited by frontier ML research but equally passionate about building robust, production-grade systems. You’ll Be Working On Developing large-scale foundation models for biological and chemical data … Building probabilistic ML systems capable of uncertainty estimation and Bayesian inference Training transformer architectures and latent variable models across molecular and genomic datasets Scaling distributed GPU training pipelines for multi-billion parameter models Working on generative modelling approaches for molecule and protein design Designing evaluation frameworks for biological plausibility, calibration ...

supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving. This is a hands‐on, technical leadership role with high ownership. … will develop and deploy advanced speech systems that power our products as well as co‐define the technical vision for ML, drive innovation, and mentor engineering teams. Your work will span the entire codebase. What You’ll Do: Develop and deploy ML models, translating research into scalable, maintainable code ...

fine‐tuning, tailored to diverse product requirements. You will design and build production‐grade inference systems, working across Swift, Java, and Python to integrate ML capabilities seamlessly into Apple's ecosystem. As a senior technical contributor, you will set engineering standards, mentor engineers, and influence the technical roadmap for generative … features, taking full ownership from problem definition and prototyping through production release, working across Swift, Java, and Python codebases Establish engineering excellence across the ML development lifecycle, including robust testing, reproducibility, monitoring, documentation, and CI/CD for model and data pipelines Partner with research, product, design, and platform teams ...

train, and optimize Machine Learning models • Work with large datasets to extract insights and improve business decisions • Build scalable data pipelines and ML workflows • Collaborate with cross-functional teams to deliver AI-driven solutions • Evaluate model performance and continuously improve accuracy • Work with Python, SQL, and ML frameworks … Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Statistics, Mathematics, or related field Why Join Us? Work on innovative AI & ML projects Fast-paced and collaborative environment Career growth and learning opportunities Exposure to modern technologies and enterprise-level projects Interested candidates can apply ...

microservices, event‐driven design, and managed services, ensuring reliability, observability, and scalability. Provide architectural leadership across integrations with enterprise systems and third‐party platforms. ML Ops, Reliability & Engineering Best Practices Productionize AI and machine learning solutions using modern ML Ops and software engineering practices. Establish standards for testing … with Infrastructure as Code, microservices, and event‐driven architectures. Strong grounding in statistics, experimentation, and analytical methods. Experience deploying and maintaining production AI/ML systems, including monitoring and governance. Solid understanding of secure system design, data privacy, and enterprise engineering practices. Excellent communication skills with the ability to influence ...

Machine Learning Engineer at Autodesk Research, you will work side‐by‐side with world‐class researchers and engineers to build new ML‐powered product features to help our customers imagine, design, and make a better world. You are a software engineer who is passionate about solving problems … projects at the intersection of research and product with a diverse, global team of researchers and engineers Support research through the construction of ML pipelines, prototypes, and reusable, testable code Process data and analyze feature extractions Analyze errors and provide solutions to problems Present results to collaborators and leadership Minimum ...

use. Day to day, you’ll collaborate with multidisciplinary teams of data scientists, researchers, and hosting specialists, acting as the subject-matter expert for ML deployment, reliability, and best practice. You’ll be the critical bridge between research and production, making sure ideas don’t stay theoretical but instead become … importantly, you’ll champion model explainability, transparency, and ethical AI as core engineering principles. Across multiple projects, you’ll also support and mentor junior ML engineers, help software engineers design ML-ready hosting environments, and translate complex systems into a clear, practical understanding for non-technical stakeholders. About you There ...

quality journalism. The department consists of four teams: Data Science & Engineering, Data Intelligence & Monetisation, Research & Insight and Customer Marketing. About You An accomplished ML/Data Engineer with proven experience deploying and managing ML and AI based services in production. Strong SQL skills and hands-on experience with both relational … Agentic workflows to build and deploy models agents and coding pipelines. Ideally having experience in Gemini, Claude and Vertex AI. Exposure to ML Frameworks such as PyTorch or TensorFlow. Agent orchestration using frameworks such as Langgraph or CrewAI Understanding of ML Ops such as automated model, testing,monitoring and tuning. ...

across oncology, immunology, and rare diseases. Backed by top-tier investors and leading scientific advisors, we’ve recently secured major funding to expand our ML platform and research capabilities globally. The Role We’re looking for a Machine Learning Team Lead to lead a high-performing team working … foundation models and probabilistic ML systems for drug discovery. You’ll sit at the intersection of research and engineering - driving technical direction, mentoring senior engineers and researchers, and helping scale both our platform and team as we push toward state-of-the-art biological modelling. This is a hands ...

evaluate, manage, and route content reliably at global scale. We’re seeking a Staff Machine Learning Engineer to build and scale foundational ML systems that power content understanding across Spotify. In this role, you’ll work on systems that generate deep, machine-readable understanding of content across … across large datasets Who You Are You have experience building and deploying machine learning systems in production You are comfortable working with ML frameworks such as PyTorch, TensorFlow, or similar You have experience working with large datasets and care about data quality and evaluation You are interested ...

build production-ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills. Your Impact Lead the architecture, design, and deployment of scalable Generative AI and Machine learning systems into production environments. … production environments Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour Collaborate with data scientists to productionise ML models and forecasting algorithms Your Skills Extensive hands-on professional experience in the field of Artificial Intelligence, Machine Learning, or related engineering domains. ...

global leading business is hiring a Senior Machine Learning Engineer. Hybrid position. Paying up to £1000 per day. Outside IR35 Experience and skills required for the Senior Machine Learning Engineer, Quantisation, PEFT, DeepSpeed, ONNX, TensorRT, PyTorch, multi-LoRa, LoRA Exchange, TitanML ️ In depth experience with … following Machine Learning: Quantization, PEFT, DeepSpeed, ONNX, TensorRT Deep Learning with PyTorch Experience with Strong experience working with inference servers like multi-LoRa, LoRA Exchange, TitanML ️ Previous industry exposure to multi-node HPC clusters ️ Experience with Large language models - OpenAI, Mistral, Claude, LLaMA Large language model ...

safety and policy enforcement Architect feedback loops that turn reviewer input into structured training data for continuous model improvement Translate regulatory requirements into scalable ML system designs, including accuracy and reporting expectations Partner with cross‐functional teams across Trust & Safety, Legal, Public Affairs, and Product to deliver safe user experiences … team Who You Are You have experience building and shipping production‐grade machine learning systems at scale You are experienced with ML evaluation, including dataset design, metrics, and model performance monitoring You have worked with multimodal machine learning across text, audio, image, or video domains ...

best work of our lives. Our Developer Publications Intelligence team seeks a creative engineer who has a robust knowledge of large language models (LLMs), Machine Learning infrastructure, and experience with LLM-evaluations at scale. Strong engineering fundamentals are required. Description As an Applied Machine Learning Engineer … Developer Publications Intelligence team, you will join a multi-disciplinary team of passionate Machine Learning and Software engineers to build and integrate ML models into existing and future tools produced by Apple for third-party developers. We strive for excellence and believe strongly in the quality ...

relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product‐focused team. We work in partnership … with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from ...

Machine Learning Developer - Quant Strategies An exciting position has become available with an innovative investor who is looking for a Machine Learning Developer to focus on quantitative strategies and research. This exciting new role will give the Machine Learning Developer an opportunity to work … forward‐thinking work environment whilst also giving you the opportunity to make a real‐world difference. It is anticipated that you will become the machine learning authority and will regularly attend events and deliver presentations. To be considered for this exciting role you will need to have ...

early-stage technology company looking for a Lead Data Scientist to play a key role in the development of its predictive modelling and machine learning capabilities. This is an opportunity to join at an early stage and have a significant influence on both the product and the direction … customer success and the future growth of the business. Skills and experience Experience building production machine learning models Strong Python and modern ML tooling experience A background in predictive modelling, classification, propensity modelling, churn prediction or related areas Excellent statistical and analytical thinking The ability to thrive ...

production engineering teams to transition validated models into real products. We emphasize research rigor, empirical validation, and practical impact, translating novel ideas into deployable machine learning solutions under real-world constraints. Your Impact Research and develop advanced methods for video perception, with a strong emphasis on both … latency, memory, robustness, and scalability, even if not directly responsible for production implementation Experience collaborating across research, software, and product teams to deliver ML-driven capabilities Publications, patents, or open-source contributions demonstrating applied research impact Why Cisco? At Cisco, we’re revolutionizing how data and infrastructure connect and protect ...

semantic search, recommendation, and knowledge graph-connected AI applications. This is not a conventional data science role. You will work at the intersection of machine learning, semantic data modelling, information retrieval, knowledge graphs, and real-world construction product data. Your work will help turn fragmented industry data into … reliable, contextual, and explainable decision intelligence. Responsibilities Develop machine learning and data science systems for classification, extraction, enrichment, matching, recommendation, and semantic search. Work with structured, semi-structured, unstructured, and graph-connected data. Build entity extraction, entity resolution, deduplication, and similarity-matching workflows. Connect AI outputs with taxonomy ...

client's organization, the Data Science team tackles complex business challenges across various domains, including customer experience, supply chain, and technology. They leverage advanced machine learning, generative AI, and large language models (LLMs) to optimize prices, enhance store operations, and personalize customer experiences. Team members enjoy a collaborative … expand their expertise and make a significant impact. Your Role: As a Data Scientist, you'll be at the forefront of developing and deploying machine learning solutions that transform decision-making processes. Your key responsibilities will include: Designing and implementing robust models to optimize business operations. Building ...

client's organization, the Data Science team tackles complex business challenges across various domains, including customer experience, supply chain, and technology. They leverage advanced machine learning, generative AI, and large language models (LLMs) to optimize prices, enhance store operations, and personalize customer experiences. Team members enjoy a collaborative … expand their expertise and make a significant impact. Your Role:As a Data Scientist, you'll be at the forefront of developing and deploying machine learning solutions that transform decision-making processes. Your key responsibilities will include: Designing and implementing robust models to optimize business operations. Building ...

innovation. They tackle some of the most complex business challenges across various domains, including customer experience, supply chain, marketing, and technology. By applying advanced machine learning techniques, generative AI, and large language models, they enhance pricing strategies, optimize store operations, and personalize customer interactions. This is a collaborative … environment where team members rotate across different domains, expanding their skills and impact. As a Data Scientist, you will: Develop and deploy machine learning solutions that enhance decision-making and improve customer service. Design and implement robust models while experimenting with new approaches.. This includes building data pipelines ...

specialist for machine learning and GenAI. Working closely with data engineering, analytics, QA and product, you will build the foundations for scalable ML and AI use cases across the organisation. Key responsibilities include: Owning and delivering end-to-end ML and GenAI solutions, from data preparation through … production deployment. Designing and building robust ML pipelines, CI/CD processes and MLOps frameworks. Leading GenAI initiatives such as document processing, LLM fine-tuning, prompt engineering and orchestration using modern frameworks. Organising and processing large, complex datasets to enable AI and ML use cases. Acting ...