101 to 125 of 1,966 Machine Learning Jobs in London

Domains org within the Alexa Conversational Assistants Services (CAS) org is looking for an Applied Science Manager with a background in Natural Language Processing, Machine/Deep Learning, and Large Language Models (LLMs). You will be working with a team of Applied and Research Scientists to enhance … experiment and drive productisation to deliver customer impact. Drive academic partnership with top tier Indian university as part of the org's AI/ML Center initiative. Participate in and drive science publications in peer-reviewed venues of repute. BASIC QUALIFICATIONS - Master's degree in engineering, technology, computer science, machine … , robotics, operations research, statistics, mathematics or equivalent quantitative field - 5+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics - Experience building complex highly-scalable systems that involve predictive models or applications of machine learning - Familiarity with large More ❯

PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimisation opportunities in design and engineering. Born out of numerical physics and proven in Formula One, we help our customers radically improve their … however please only apply for the role that best aligns with your skillset and career goals. What you will do Work closely with our machine learning engineers, simulation engineers, and customers to translate physics and engineering challenges into mathematical problem formulations. Build models to predict the behaviour of … conversations, etc. This will involve writing for academic and non-academic audiences. Foster a nurturing environment for colleagues with less experience in DS/ML/Stats for them to grow and you to mentor. What you bring to the table Enthusiasm about using machine learning, especially deep More ❯

learning to drive innovation in the fintech space, we want to hear from you! Key Skills & Experience Required: Expertise in AI/ML model deployment processes and a strong understanding of the ML life cycle. Proven experience with CI/CD, DevOps, and MLOps, especially in supporting and … improving production systems Strong familiarity with web server and API designs for ML model deployments. Experienced in Real time - Data Science Applications. Proficient Python skills, including experience with relevant data libraries. Cloud engineering experience, particularly with AWS and Databricks.Exposure to GenAI/NLP, MLflow, Jenkins, workflow automation, AutoML, unit testing … a Machine Learning Engineer, you will be a pivotal part of our team, focusing on: Experienced in Developing and deploying AI/ML models to improve efficiency and security in payment processes. Optimising the ML life cycle, ensuring seamless integration from development to production. Collaborating with cross-functional More ❯

Staff Software Engineer, GPU Performance, Core ML corporate_fare Google place London, UK Apply Minimum Qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development and with data structures/algorithms (e.g., C++ or Python). 5 years of experience with Machine Learning (ML) design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). Experience working with GPUs. Experience in a technical leadership role leading project teams and setting technical direction. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, or a related technical field. … Experience with compiler optimization, code generation, and runtime systems for GPU architectures (OpenXLA, MLIR, Triton, etc.). Expertise in tailoring algorithms and ML models to exploit GPU strengths and minimize weaknesses. Knowledge of low-level GPU programming (CUDA, OpenCL, etc.) and performance tuning techniques. Understanding of modern GPU architectures, memory More ❯

Amazon Shipping, you will work on multiple challenging machine learning problems spread across a wide spectrum of business problems. You will build ML models to help our transportation cost auditing platforms effectively audit off-manifest (discrepancies between planned and actual shipping cost). You will build models to … LIME and SHAP to make your models interpretable for your customers. You will employ a family of reusable modelling solutions to ensure that your ML solution scales across multiple regions (such as North America, Europe, Asia) and package movement types (such as small parcel movements and truck movements). You … diverse data science and engineering team comprising of other Applied Scientists, Software Development Engineers and Business Intelligence Engineers. You will participate in the Amazon ML community by authoring scientific papers and submitting them to Machine Learning conferences. You will mentor Applied Scientists and Software Development Engineers having a More ❯

wearables. This is a high-impact role with the opportunity to shape the future of digital health and help bring clinically validated, regulatory-ready ML solutions to market. Location: Remote/Hybrid/USA-SF, USA-remote, UK-London, UK-remote Responsibilities: Design and implement machine learning models … machine learning to time-series or physiological data. Strong foundation in signal processing and time-series modeling (e.g., deep learning, classical ML, anomaly detection). Proficient in Python and ML frameworks such as PyTorch or TensorFlow. Familiarity with FDA regulatory pathways for medical software (e.g., 510(k … De Novo), and standards like IEC 62304 or ISO 13485. Experience with MLOps practices and model versioning in compliant environments. Preferred Qualifications: Experience building ML models with wearable data (e.g., continuous heart rate, motion, respiration). Exposure to embedded AI or edge model deployment (e.g., TensorFlow Lite, Core ML, ONNX More ❯

and oversee the development of advanced machine learning models to accelerate drug discovery and therapeutic solutions Shape the strategic direction of the ML team, driving innovation in AI-powered drug development Collaborate with senior leadership to align ML research with company goals and objectives Guide the development of … with a focus on LLMs/genAI, optimisation, or sequential learning Strong background in Python, deep learning frameworks (TensorFlow, PyTorch, Jax), and ML model development PhD in Computer Science, Machine Learning, Applied Mathematics, or related field, or equivalent experience A history of successful scientific publications and … contributions to top ML conferences (NeurIPS, ICML) Excellent communication skills, with the ability to represent technical expertise to both technical and non-technical stakeholders If you fit the bill and are interested, please apply with an updated CV More ❯

and oversee the development of advanced machine learning models to accelerate drug discovery and therapeutic solutions Shape the strategic direction of the ML team, driving innovation in AI-powered drug development Collaborate with senior leadership to align ML research with company goals and objectives Guide the development of … with a focus on LLMs/genAI, optimisation, or sequential learning Strong background in Python, deep learning frameworks (TensorFlow, PyTorch, Jax), and ML model development PhD in Computer Science, Machine Learning, Applied Mathematics, or related field, or equivalent experience A history of successful scientific publications and … contributions to top ML conferences (NeurIPS, ICML) Excellent communication skills, with the ability to represent technical expertise to both technical and non-technical stakeholders If you fit the bill and are interested, please apply with an updated CV More ❯

learning to drive innovation in the fintech space, we want to hear from you! Key Skills & Experience Required: Expertise in AI/ML model deployment processes and a strong understanding of the ML life cycle. Experienced in Real time - Data Science Applications is essential Proven experience with CI …/CD, DevOps, and MLOps, especially in supporting and improving production systems Strong familiarity with web server and API designs for ML model deployments. Proficient Python skills, including experience with relevant data libraries. Cloud engineering experience, particularly with AWS and Databricks. Exposure to GenAI/NLP, MLflow, Jenkins, workflow automation … a Machine Learning Engineer, you will be a pivotal part of our team, focusing on: Experienced in Developing and deploying AI/ML models to improve efficiency and security in payment processes. Optimising the ML life cycle, ensuring seamless integration from development to production. Collaborating with cross-functional More ❯

excited by the challenge of teaching robots how to understand and manipulate the physical world? Do you want to build real systems that use machine learning and perception to grasp and interact in unstructured and unknown environments? Do you thrive in fast-paced, multidisciplinary teams solving hard problems … harshest and most complex environments imaginable. We're looking for a Machine Learning Robotic Manipulation Engineer to lead development of the core ML-based grasping stack for our robotic capture system. In this role, you'll research, design, and implement models and pipelines that enable perception-driven grasp … planning-bridging the gap between computer vision, motion planning, and real-world physical interaction with unknown objects. You'll work closely with Machine Vision, Robotics, Hardware, Systems, and Software teams, to take your models from the lab to orbit-from simulation to flight. If you're passionate about robotics More ❯

advance the organization’s goals. Plan, build, and evaluate machine learning pipelines for small molecule drug discovery, including the development of novel ML architectures. Train and assess ML-based interatomic potentials and integrate them with biomolecular simulation tools. Collaborate closely with team members in biomolecular simulation and computational … in drug discovery. Requirements PhD or postdoctoral experience in computational chemistry, molecular physics/engineering, computer science, or a related discipline with a strong ML for science focus; OR a Master’s degree plus 3+ years of relevant industry experience. Demonstrated track record in developing machine learning models … and graph neural networks for 3D atomic systems. Experience working with machine-learned potential energy surfaces. Proficiency with ML frameworks such as PyTorch or JAX. Strong background in scientific programming using Python. Excellent communication skills in English. Experience working in interdisciplinary scientific environments. Desirable Skills Experience curating quantum mechanics More ❯

advance the organization’s goals. Plan, build, and evaluate machine learning pipelines for small molecule drug discovery, including the development of novel ML architectures. Train and assess ML-based interatomic potentials and integrate them with biomolecular simulation tools. Collaborate closely with team members in biomolecular simulation and computational … in drug discovery. Requirements PhD or postdoctoral experience in computational chemistry, molecular physics/engineering, computer science, or a related discipline with a strong ML for science focus; OR a Master’s degree plus 3+ years of relevant industry experience. Demonstrated track record in developing machine learning models … and graph neural networks for 3D atomic systems. Experience working with machine-learned potential energy surfaces. Proficiency with ML frameworks such as PyTorch or JAX. Strong background in scientific programming using Python. Excellent communication skills in English. Experience working in interdisciplinary scientific environments. Desirable Skills Experience curating quantum mechanics More ❯

Machine Learning Engineer | Research Platform: We are a tier 1 supplier for a well-known buy-side quant firm on the lookout for a Machine Learning Engineer (£475,000-£515,000) who is happy to work at the interface of cutting edge Machine Learning … the potential for advanced algorithms as the client scales. Key Competencies: The ideal candidate would have hands-on experience with real-time, low-latency ML pipelines in high-performance environments. They should possess strong engineering skills, including expertise in Python, CUDA, or C++. They should also have knowledge of machine … Additionally, the candidate should be proficient in GPU programming for training and inference acceleration. They should also have experience with distributed training for scaling ML workloads, utilizing tools like Horovod. If this sounds interesting and applicable to your skillset, please apply or email a.cahill@gcstechtalent.com More ❯

Machine Learning Engineer | Research Platform: We are a tier 1 supplier for a well-known buy-side quant firm on the lookout for a Machine Learning Engineer (£475,000-£515,000) who is happy to work at the interface of cutting edge Machine Learning … the potential for advanced algorithms as the client scales. Key Competencies: The ideal candidate would have hands-on experience with real-time, low-latency ML pipelines in high-performance environments. They should possess strong engineering skills, including expertise in Python, CUDA, or C++. They should also have knowledge of machine … Additionally, the candidate should be proficient in GPU programming for training and inference acceleration. They should also have experience with distributed training for scaling ML workloads, utilizing tools like Horovod. If this sounds interesting and applicable to your skillset, please apply or email a.cahill@gcstechtalent.com More ❯

Team who will accelerate the shaping and delivery of our Data & Analytics Agenda. The Machine Learning and AI Engineering Lead will oversee ML and AI solution development and deployment as a capability served across the end-to-end Data & Analytics solution portfolio. The role integral to the organization … drive innovation and efficiency across the organisation. The role will work closely with the Data Science Led to develop and execute an AI and ML roadmap aligned with business goals and requirements. What will be your key responsibilities? Serve as the technical lead for Generative AI and machine learning model deployment within RC D&A. Collaborate with the Data Science team to design, prototype and build next generation ML and AI products and accelerators. Design, architect and review technical architecture for data science, machine learning and AI solutions and provide feedback for optimal implementation. Develop and More ❯

Team who will accelerate the shaping and delivery of our Data & Analytics Agenda. The Machine Learning and AI Engineering Lead will oversee ML and AI solution development and deployment as a capability served across the end-to-end Data & Analytics solution portfolio. The role integral to the organization … drive innovation and efficiency across the organisation. The role will work closely with the Data Science Led to develop and execute an AI and ML roadmap aligned with business goals and requirements. What will be your key responsibilities? Serve as the technical lead for Generative AI and machine learning model deployment within RC D&A. Collaborate with the Data Science team to design, prototype and build next generation ML and AI products and accelerators. Design, architect and review technical architecture for data science, machine learning and AI solutions and provide feedback for optimal implementation. Develop and More ❯

You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical … ethical and practical requirements. You will support both technical, and non-technical stakeholders, to deploy ML to solve real-world problems. Our Machine Learning Engineers are responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you'll be essential to … us achieve that goal by: Building software and infrastructure that leverages Machine Learning; Creating reusable, scalable tools to enable better delivery of ML systems; Working with our customers to help understand their needs; Working with data scientists and engineers to develop best practices and new technologies; Implementing and More ❯

data structures/algorithms. 3 years of experience with machine learning algorithms and tools. 2 years of experience in building production quality ML systems. Preferred Qualifications: Master's degree or PhD in Computer Science or a related technical field. Experience with modern ML frameworks (e.g., JAX, Pytorch or … TensorFlow). Experience with launching applied Machine Learning/Natural Language Processing (ML/NLP) projects. About the Job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle … the list goes on and is growing every day. As a Software Engineer, you will shape the future of applied Machine Learning (ML) at Google and push the boundaries of what's possible with Generative Artificial Intelligence technologies. You will be building the platform to integrate GenAI-based More ❯

apply machine learning techniques to real-world problems, shipping results fast, all whilst meeting launch deadlines. Take ownership of end-to-end ML model development-from data preprocessing and feature engineering to training, testing, and deployment. Collaborate across teams to implement machine learning solutions into production … share findings clearly with the team. No jargon-just straightforward, actionable insights. Continuously learn new techniques and stay up to date with the latest ML trends, applying them to improve the product as you go. Requirements: A degree in Computer Science, Data Science, or a related field (or equivalent practical … experience). 2-3 years of experience in machine learning, with a strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Hands-on experience with data preprocessing, feature engineering, and model training for real-world problems. Strong Python and Java programming skills and More ❯

Job ID: Amazon Development Center (Tel Aviv) Are you a scientist interested in pushing the state of the art in machine learning and recommendation systems? Are you interested in working on novel ideas that can positively impact millions of customers? Do you wish you had access to large … for our team at Amazon. Our team is part of Amazon's Personalization organization, a high-performing group that leverages Amazon's expertise in machine learning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers. Our team builds large-scale … machine-learning solutions that delight customers with personalized content recommendations, at the right time, with the right level of explanation. As a Senior Applied Scientist in our team, you will lead the research, design, and development of new AI technologies for personalization. You will adopt or invent new More ❯

best for Creators, Consumers and Spotify. Location: London Job type: Permanent This is an outstanding opportunity to contribute to the development and application of ML within our content and catalogue management platform. You'll be at the forefront of driving impactful solutions, while collaborating within a dynamic and supportive team … environment. What You'll Do: Drive the full lifecycle of ML solutions for CoCaM services, including research, design, development, evaluation, and deployment. Manage Machine Learning projects ranging from Supervised Learning, to Reinforcement Learning, to LLMs. Optimize and monitor deployed ML model performance, implementing improvements based on … analysis. Document and standardize ML processes, pipelines, and model specifications. Collaborate with cross-functional teams spanning research, engineering, data science, product managers and other stakeholders to understand business needs and identify opportunities for ML applications. Work closely with engineering teams to integrate ML models into existing systems and workflows. Be More ❯

Senior Delivery Consultant - GenAI/ML, AWS Job ID: AWS EMEA SARL (Italy Branch) Are you interested in working at the forefront of Machine Learning and AI? Do you want to apply Generative AI algorithms to solve real-world problems with significant impact? Machine learning (ML … AWS customers implement Generative AI solutions and realize transformational business opportunities across key industry verticals. Our team consists of data architects, data scientists, and ML engineers working closely with customers to build solutions that leverage the power of generative AI. Key job responsibilities As an experienced technology professional, you will … be responsible for: Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models on AWS tailored to customer needs. Providing technical guidance and support throughout project delivery, focusing on AWS AI/ML services. Collaborating with customer stakeholders to gather requirements and propose effective model training More ❯

make and store a decision best for Creators, Consumers and Spotify. This is an outstanding opportunity to contribute to the development and application of ML within our content and catalogue management platform. You'll be at the forefront of driving impactful solutions, while collaborating within a dynamic and supportive team … environment. What You'll Do Drive the full lifecycle of ML solutions for CoCaM services, including research, design, development, evaluation, and deployment. Manage Machine Learning projects ranging from Supervised Learning, to Reinforcement Learning, to LLMs. Optimize and monitor deployed ML model performance, implementing improvements based on … analysis. Document and standardize ML processes, pipelines, and model specifications. Collaborate with cross-functional teams spanning research, engineering, data science, product managers and other stakeholders to understand business needs and identify opportunities for ML applications. Work closely with engineering teams to integrate ML models into existing systems and workflows. Be More ❯

Location : London (Flexible) Salary : competitive Position type : full-time Start date: immediate Candidates welcomed: all genders, nationalities, backgrounds and orientations Rahko is a quantum machine learning company focusing on quantum and quantum-inspired algorithms for drug discovery and development. We are a small and fast-growing startup with … advised by several world-leading scientists. Read more about Rahko's work and team here . Rahko brings together classical computational methods, more recent machine/deep learning methods and quantum computing to improve the speed and accuracy of quantum chemistry simulations for drug discovery and development. As … a valued member of our team, you will work closely with our expert quantum machine learning and computational chemistry scientists to develop state-of-the-art in silico methods for drug discovery and development. You will have a PhD (or equivalent industry experience) in medicinal chemistry, computational chemistry More ❯

Are you a data-driven problem solver with expertise in machine learning and data manipulation? PwC is looking for a Data Scientist to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas … identifies and develops AI solutions that solve hard problems for PwC and for its clients. Our team works at the frontier of AI and ML in professional services. We work across multiple industries, including healthcare, financial services, and professional services. We are looking for people to contribute to the development … stakeholders, technology teams, and other relevant groups to understand their needs, gather requirements, and align AI solutions with organisational goals. Prototyping, developing, and deploying machine learning applications into production. Contributing to our machine learning enabled, business-facing applications. Contributing effective, high quality code to our codebase. More ❯