176 to 200 of 11,534 Machine Learning Jobs in the UK

Graduate AI and Machine … Learning Engineer About Data Reply: DATA REPLY are data specialists, offering data platforms, BI, advanced analytics and AI/Machine Learning (ML) solutions to drive business success. We specialise in developing, deploying and operating production data solutions on AWS cloud. www.data.reply.com Role overview: As a Graduate AI … in a variety of client environments. You will support the analysis of client requirements and help generate suitable recommendations. You will help manage the ML lifecycle from data selection and collection, ML model design and creation all the way through to operationalization and monitoring. You will work closely with data More ❯

Machine Learning Infrastructure Engineering Lead - UK London The Next Dimension in Structured Reasoning... Symbolica is building the new foundation for enterprise-scale AI — controllable, interpretable, reliable, and secure. This is an opportunity to be part of a transformative project and make significant contributions to the field of AI. … raised over $30M from Khosla, General Catalyst, Buckley Ventures, Abstract Ventures, Day One Ventures, and other prominent Silicon Valley venture capital firms, to advance machine reasoning. We’re a well-resourced, nimble team with a drive to deliver exceptional AI capabilities in short order. We are looking for a … Machine Learning Infrastructure Engineering Lead to design, build, and optimize the infrastructure and tools that enable our research and development efforts. In this role, you will lead the development of scalable infrastructure that powers our machine learning experiments, model training, and deployment. You’ll work at More ❯

ll be doing: Design modular and scalable real time data pipelines to handle huge datasets Suggest, implement, and coordinate architectural improvements for big data ML pipelines Understand and implement custom ML algorithms in a low latency environment Work on microservice architectures that run training, inference, and monitoring on thousands of … ML models concurrently What you'll bring to the table: Have the ability to take an ambiguously defined task, and break it down into actionable steps Ability to follow through complex projects to completion, both by independent implementation and by coordinating others Have deep understanding of algorithm and software design … Time, Freelance) London, England, United Kingdom 5 months ago London, England, United Kingdom 2 months ago London, England, United Kingdom 11 months ago Senior ML Engineer - LLM Applications (Remote - United Kingdom) London, England, United Kingdom 1 week ago We’re unlocking community knowledge in a new way. Experts add insights More ❯

ConnexAI Manchester, England, United Kingdom Join or sign in to find your next job Join to apply for the Machine Learning Engineer – Text-to-Speech role at ConnexAI ConnexAI Manchester, England, United Kingdom 2 days ago Be among the first 25 applicants Join to apply for the Machine … Manchester, England, United Kingdom 3 weeks ago Software Test Engineer (V&V) ??? ???? [[??]] ? ?? ?? Salford, England, United Kingdom 1 week ago Data Scientist - (Senior AI/ML Engineer) Manchester Area, United Kingdom 1 day ago Manchester, England, United Kingdom 3 weeks ago Manchester, England, United Kingdom 1 month ago Manchester, England, United … Kingdom 3 weeks ago Greater Manchester, England, United Kingdom 1 month ago Manchester, England, United Kingdom 1 week ago AI&ML Engineer (Artificial Intelligence & Machine Learning Engineer) Halifax, England, United Kingdom 6 days ago Manchester, England, United Kingdom 1 week ago Greater Manchester, England, United Kingdom 2 weeks More ❯

Develop the computational infrastructure to run simulations at scale through our cloud compute platform. Generate synthetic datasets that help improve the performance of our ML models. Report and present research findings and developments clearly and efficiently, to both other ML scientists and scientists of different disciplines. Iterate collaboratively with scientists … domain experience. Suggest and engage in team collaborations to meet ambitious research goals. Depending on your experience: Provide technical mentorship and guidance to the ML research community, advising on projects, and shaping our research roadmap based on your deep technical expertise. Provide developmental support to other ML research scientists. Create … lead, and run ML research projects, fostering collaborative and diverse teams to solve high priority modelling problems. Cultivate a diverse and inclusive research culture. Essential Skills and qualifications PhD or equivalent practical experience in a technical field. A proven track record in applying computational chemistry to predict relevant experimental quantities More ❯

Up to £75k DOE + Bonuses & Benefits Location: Cheltenham (3 days on-site per week) Security Clearance: Active Enhanced DV (West) Required Key Skills: Machine Learning, AWS/Azure, Python, NLP, AI Who We Are? We are seeking a highly skilled Data Scientist with enhanced DV clearance to … impact public and private sector projects, this role offers excellent career progression and the opportunity to work at the forefront of innovation in AI, machine learning, and data science. What Will You Be Doing? Applying advanced data science and machine learning techniques to solve complex challenges Conducting research and innovation to develop cutting-edge solutions Keeping up to date with the latest developments in ML and data technologies Engaging in the full data science lifecycle, from data collection to model deployment Producing clear and well-documented technical outputs Delivering high More ❯

to £75k DOE + Bonuses andamp; Benefits Location: Cheltenham (3 days on-site per week) Security Clearance: Active Enhanced DV (West) Required Key Skills: Machine Learning, AWS/Azure, Python, NLP, AI Who We Are? We are seeking a highly skilled Data Scientist with enhanced DV clearance to … impact public and private sector projects, this role offers excellent career progression and the opportunity to work at the forefront of innovation in AI, machine learning, and data science. What Will You Be Doing? Applying advanced data science and machine learning techniques to solve complex challenges Conducting research and innovation to develop cutting-edge solutions Keeping up to date with the latest developments in ML and data technologies Engaging in the full data science lifecycle, from data collection to model deployment Producing clear and well-documented technical outputs Delivering high More ❯

techniques. We are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo. Machine Learning (ML) Engineers work in cross-functional teams of engineers, data scientists, and product managers to build the algorithmic products that power the company. We are embedded … in product teams, close to the business problems and go after some of the hardest problems. ML Engineers translate a fuzzy business problem to a concrete pipeline that we design and implement. We then work closely with the engineers to deploy our models to production and with data scientists to … run experiments based on these algorithms. ML Engineers at Deliveroo report into our Science management team, and we have a strong, active data science community with guest lecturers, a robust technical review process, a career progression framework, and plenty of opportunities to learn new things. We have career pathways for More ❯

AI group collaborates closely with the Generative AI and Speech AI teams within the Embedded AI division, to develop innovate machine learning (ML) algorithms and systems, with the overarching objective to deliver state-of-the-art efficient AI models across Samsung consumer devices. To this end, we focus … on high-impact projects that balance research and commercial outcomes. Our group conducts research on on-device and edge-based ML systems, focusing on model/system and hardware/software co-design, adaptive inference methods, robotic systems, and the optimized on-device deployment of large language models (LLMs) and … AI group collaborates closely with the Generative AI and Speech AI teams within the Embedded AI division, to develop innovate machine learning (ML) algorithms and systems, with the overarching objective to deliver state-of-the-art efficient AI models across Samsung consumer devices. To this end, we focus More ❯

order to treat a disease, or modelling the molecular properties and structures of compounds that can modulate that target. Responsibilities Apply your expertise in machine learning to research new solutions to important problems in drug discovery. Work as a member of a cross-functional team comprising specialists in … engineering, AI and drug discovery to develop new capabilities and improve existing products. Keep up-to-date with the latest research and progress in machine learning for drug discovery. Work with machine learning engineers to help translate research prototypes into practical solutions for BenevolentAI’s products … robust software development best practices. Contribute to writing papers for journals and at conferences. Contribute to our thoughtful, collaborative, and ambitious culture. Propose novel machine learning projects and research directions that can better address important challenges in drug discovery. Promote machine learning best practices, such as More ❯

As a Senior Machine Learning Engineer at On, you'll play a critical role in the full lifecycle of our machine learning models. Besides being responsible for training and deploying models, you will spearhead our MLOps initiatives to ensure their seamless and efficient integration and operation … Your Mission Lead the implementation and continuous improvement of our MLOps strategy, establishing best practices for model development, deployment, and monitoring. Create and train machine learning models to solve specific business problems, such as product recommendations, customer segmentation, and demand forecasting. Implement such models into production systems to … orchestration tools (e.g., Kubernetes) and using orchestration tools such as Kubeflow (our preferred tool) or similar frameworks like Apache Airflow to manage and automate ML workflows. You have experience with real-time data streaming technologies such as Kafka and Confluent and feature stores in such settings. You are skilled in More ❯

poster from Owen Thomas | Pending B Corp Co-Founder @ Owen Thomas - Pending B Corp | Scaling teams for all things Software, Data, Cloud & AI/ML Machine Learning Full Stack Engineer Contractor (Python/Flutter/GCP) | Fully Remote/EU-Based | Rate £600-750pd | Outside IR35 … Machine Learning Full Stack Contractor to help accelerate the next phase of development. If you're excited by the idea of applying ML in complex, real-world scenarios—and enjoy moving fast in a highly autonomous environment—this could be a strong fit. What You’ll Be Doing … pd | Outside IR35: Designing and training new models from scratch for unique, real-world use cases Taking a hands-on, theoretical approach to ML—beyond just implementation Building and scaling backend infrastructure and APIs (Python, GCP, etc.) Working closely with the CEO and founding engineers to iterate rapidly on product More ❯

Computer Vision Engineer/Machine Learning Engineer required to join an exciting defense-focused start-up manufacturer based in Austin, TX. The successful Computer Vision Engineer/Machine Learning Engineer will ideally have a Master's or PhD in a relevant discipline such as Computer Science … or a related field. Package $110,000 - $220,000 Equity Package Health, Dental, Vision Insurance Paid Time Off Computer Vision Engineer/Machine Learning Engineer Responsibilities: Spearhead the creation and refinement of computer vision algorithms for autonomous gun turret systems, with a primary focus on real-time drone … detection, tracking, and classification. Develop and implement machine learning models optimized for performance in resource-constrained environments, delivering high levels of accuracy and reliability. Work closely with electrical engineers to seamlessly integrate computer vision systems into the turret's hardware architecture. Perform comprehensive testing and validation of algorithms More ❯

Team for Career Site Technology In short As a Senior Machine Learning Engineer at On, you’ll play a critical role in the full lifecycle of our machine learning models. Besides being responsible for training and deploying models, you will spearhead our MLOps initiatives to ensure … Your mission Lead the implementation and continuous improvement of our MLOps strategy, establishing best practices for model development, deployment, and monitoring. Create and train machine learning models to solve specific business problems, such as product recommendations, customer segmentation, and demand forecasting. Implement such models into production systems to … orchestration tools (e.g., Kubernetes) and using orchestration tools such as Kubeflow (our preferred tool) or similar frameworks like Apache Airflow to manage and automate ML workflows. You have experience with real-time data streaming technologies such as Kafka and Confluent and feature stores in such settings. You are skilled in More ❯

Scientist, Growth Analytics role at Moloco Join to apply for the Senior Data Scientist, Growth Analytics role at Moloco About Moloco: Moloco is a machine learning company empowering organizations of all sizes to grow and unlock the full value of their unique first-party data, elevating the traditional … week ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago London, England, United Kingdom 2 months ago EMEA ML Practice - Sr. Data Science Manager London, England, United Kingdom 5 days ago London, England, United Kingdom 1 month ago Machine Learning Scientists and … days ago London, England, United Kingdom 5 days ago City Of London, England, United Kingdom £100,000.00-£130,000.00 1 week ago EMEA ML Practice - Sr. Data Science Manager Greater London, England, United Kingdom 3 weeks ago Hammersmith, England, United Kingdom 1 week ago London, England, United Kingdom 2 weeks More ❯

Job Description: Arm's Machine Learning Group is seeking highly motivated and creative Software Engineers to join the Cambridge-based ML Content, Algorithms and Tools team! This Machine Learning Engineer role focuses on advancing the field of AI by optimizing and deploying pioneering models, particularly Large … optimizing software and hardware, developing innovative solutions, and collaborating with teams to build high-performance AI systems. Responsibilities : Your responsibilities involve working with major ML frameworks (PyTorch, TensorFlow, etc.) to port and develop ML networks, optimize and quantize models for efficient execution on Arm platforms, and help ensure multiple Arm … Tensorflow Lite • Experience of developing and maintaining CI/testing components to improve automation of model analysis • Good knowledge of Python for working with ML frameworks • Good knowledge of C++ for working with optimised ML libraries • Previous experience of machine learning projects • Experience with deployment optimizations on machine More ❯

DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's … many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results driven. Come join us! Summary: As platform engineers, we are … building a next-generation machine learning platform, which incorporates our secret sauce, UML (unsupervised machine learning) with other SML (supervised machine learning) algorithms. Our team works to improve our core detection algorithms and automate the full training process. As complex fraud attacks become more More ❯

Machine learning is at the heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our ML models power critical aspects of our platform, including: AI agents improving customer support Advanced search and recommendations capabilities across our mobile and web applications Pricing … Engineering Manager to join our team and help shape the future of train travel. You will be part of a highly innovative AI and ML team working alongside engineers, scientists and product managers to tackle complex challenges by combining Trainline's rich datasets with cutting edge algorithms to build our … Trainline you will be joining an environment where learning and development is top priority. You will have the opportunity to work with fellow ML enthusiasts on large-scale production systems, delivering highly impactful products that make a difference to our millions of users. As a MLOps Engineering Manager at More ❯

ready to make a real impact in a dynamic and innovative environment? We're thrilled to invite you to join the Data AI/ML team at Zapier as a Senior Machine Learning Engineer! As a member of our Data AI/ML team, you'll be at … the way we build products using these tools. Your expertise will provide invaluable technical mentorship and assistance in scaling our use of AI/ML across the company. Our Commitment to Applicants Culture and Values at Zapier Zapier Guide to Remote Work Zapier Code of Conduct Diversity and Inclusivity at … we encourage you to apply if you meet these criteria: About You You have 7+ years of experience working with Machine Learning (ML) in production (with at least 1-2 years experience specific to Large Language Models (LLM)). You have experience writing clean Python code with reproducible More ❯

to deployment within cloud-based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability … end data science projects across varied data types. Familiarity with DevOps practices and tools like Git. Cloud experience (e.g. Azure, AWS) and working with ML platforms and services. Strong communication skills, capable of explaining complex topics to non-technical stakeholders. Ability to align data science efforts with broader business objectives. … learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working More ❯

pipelines, transforming experimental models into scalable, production-ready systems while closely collaborating with the Product Design and Engineering (PDE) team to create impactful ML-driven products in the healthcare setting. In addition to optimizing infrastructure, automating workflows, and ensuring seamless integration from model development to deployment, you will play … mission of saving lives. Key Responsibilities: Ownership of Machine Learning Infrastructure: Develop, deploy, and maintain scalable pipelines for both Circadia's proprietary ML models and off-the-shelf solutions. Optimize model training and inference workflows to handle large-scale, real-time data efficiently. Design robust model monitoring systems … to track performance, detect drift, and ensure reliability. Implement infrastructure to support the experimentation and productionization of ML models cost-effectively in AWS and Snowflake. Building and Deploying ML-Driven Products: Collaborate closely with the Product Design and Engineering (PDE) team to design, build, and iterate on ML-powered products. More ❯

The Role As a Machine Learning Engineer for the Alerts team, you'll be at the intersection of cutting-edge AI/ML technologies and real-time data processing. You'll work on developing and optimizing anomaly detection algorithms that power our highly scalable stream processing platform. What … You'll Do You'll collaborate with a team of skilled engineers to design, implement, and maintain large-scale AI/ML pipelines for real-time anomaly detection. You will be responsible for training and tuning the models and performing model evaluations using Deep Learning Machine Learning (AI/ML) Models, and Large Language Models, to detect anomalies across billions of events. You'll design and implement sophisticated anomaly detection algorithms, such as Isolation Forests, LSTM-based models, and Variational Autoencoders, tailored to our unique data streams. Creating robust evaluation frameworks and metrics to assess the More ❯

at the right time in order to maximize engagement. We’re looking for talented research scientists who have applied experience in the field of Machine Learning, Machine Intelligence, User Behavioral Analysis, IR, NLP, and more broadly, AI. You will be part of an interdisciplinary team focusing on … for understanding and interpreting user interaction signals, understanding user success with short term & long term metrics, developing algorithmically curated playlists and other challenges in machine learning and user understanding. What You’ll Do: You will participate in cutting edge research in machine intelligence, user understanding and machine learning applications. You will apply your scientific knowledge to analyze data, perform statistical analyses, identify problems, devise solutions and construct methodologies, including metrics and best practices, and conduct experiments to validate these. You will work in collaboration with other scientists, analysts and engineers across Spotify to design creative More ❯

team, contributing to the design, development, and deployment of cutting-edge machine learning systems. In this role, you'll work closely with ML scientists, data engineers, and product teams to help bring innovative solutions-such as retrieval-augmented generation (RAG) systems, multi-agent architectures , and AI agent workflows … training (e.g., LoRA, PEFT), and distillation . Build evaluation pipelines to benchmark LLM performance and continuously monitor production accuracy and relevance. Work across the ML stack-from data preparation and model training to serving and observability-either independently or in collaboration with other specialists. Optimize model pipelines for latency, scalability … preprocessing, and feature engineering. Proven experience building and deploying RAG systems and/or LLM-powered applications in production environments. Proficiency in Python and ML libraries such as PyTorch, Hugging Face Transformers , or TensorFlow. Experience with vector search tools (e.g., FAISS, Pinecone, Weaviate) and retrieval frameworks (e.g., LangChain, LlamaIndex). More ❯

re putting data at the heart of what we do to deliver super experiences to our customers and colleagues, with machine learning (ML) foundational to this mission. We need to embed a centralised ML platform to make our colleagues' lives easier when creating value for the company in … a standardised way. This platform will allow safe, efficient, and reliable MLOps. We are looking for an experienced ML Platform Lead to lead a small team and scale our ML capabilities to meet the needs of our team and our company's goals. You'll be joining in the early … learning models. In this role, you'll be using ground-breaking technology on the Snowflake platform to build and support world-class ML systems, both batch and real-time. Your role will be part people manager, part individual contributor–you'll be thinking strategically about what we need More ❯