651 to 675 of 3,218 Machine Learning Jobs in England

Senior AI/ML Engineer United Kingdom - Fully Remote Day rate - up to £650 a day outside IR35 Duration - 3 months (High possibility for extention) A pioneering UK-based life sciences and healthcare technology company, is on a mission to revolutionize the clinical trial industry through innovative AI-driven solutions. … are focused on addressing critical challenges in patient identification, recruitment, and the effectiveness of therapeutics. Role Overview: They are seeking a Senior AI/ML Engineer with expertise in Large Language Models (LLMs), inference optimization, and clinical fine-tuning. This full-time hybrid position allows you to develop and deploy … learning models to ensure scalability, reliability, and efficiency in both cloud-based and on-premises deployments. Required Qualifications: Strong experience in AI/ML development focusing on LLMs and biomedical NLP. Proficiency in deep learning frameworks (TensorFlow, PyTorch). Experience with MLOps tools and cloud environments (AWS, Azure More ❯

Staffworx are planning for future talent pool projects. Azure Data Engineer with AI/Machine Learning experience for a leading specialist consulting ogranisaiton and Digital FS Fintech client. Key Responsibilities for the Azure Data Engineer. Excellent experience in the Data Engineering Lifecycle, you will have created data pipelines … Azure Data Factory, Azure Synapse, Data Fabric. Azure certified Data Engineer/Architect Knowledge of Machine Learning and NLP unstructured data. Implemented ML platform in enterprise client experience of ML use-cases AIML Platforms: DataRobot, Dataiku, Anaconda, Sagemaker, Vertex etc. AIML Frameworks: MLFlow, KubeFlow, BentoML, TensorFlow etc. AIML More ❯

Staffworx are planning for future talent pool projects. Azure Data Engineer with AI/Machine Learning experience for a leading specialist consulting ogranisaiton and Digital FS Fintech client. Key Responsibilities for the Azure Data Engineer. Excellent experience in the Data Engineering Lifecycle, you will have created data pipelines … Azure Data Factory, Azure Synapse, Data Fabric. Azure certified Data Engineer/Architect Knowledge of Machine Learning and NLP unstructured data. Implemented ML platform in enterprise client experience of ML use-cases AIML Platforms: DataRobot, Dataiku, Anaconda, Sagemaker, Vertex etc. AIML Frameworks: MLFlow, KubeFlow, BentoML, TensorFlow etc. AIML More ❯

Software Engineer II, ML Experimentation corporate_fare Google place London, UK Apply Bachelor's degree or equivalent practical experience. 1 year of experience with data structures or algorithms. 1 year of experience building and developing large-scale infrastructure or distributed systems. Preferred qualifications: Experience with large scale distributed systems and … flume). Experience with build systems and infrastructure (e.g., blaze, bazel). Experience in improving system performance (e.g., profiling, system optimization). Experience with ML/AI infrastructure and Python. Experience in building developer tools. About the job Google's software engineers develop next-generation technologies that change how billions … and enthusiasm for tackling new problems across the full tech stack as we continue to innovate. As part of the Machine Learning (ML) Experimentation team, you will design and build solutions to enhance ML research and development. At YouTube, we believe everyone deserves a voice, and that sharing More ❯

that millions of people will use? Are you excited about working on Large Language Models (LLM), Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning (DL)? We are embarking on a multi-year journey to improve the shopping experience for customers globally. The Amazon Search team … in user preferences, multilingual search, and data scarcity. We are looking for an applied researcher to work on improving search on Amazon using NLP, ML, and DL technology. As an Applied Scientist, you will lead our efforts in query understanding and semantic matching. As part of this role, you will … to change the way Amazon search works. Together with a multi-disciplinary team, you will work on building solutions with LLM/NLP/ML/DL at its core. BASIC QUALIFICATIONS - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of More ❯

with options in Barcelona, Berlin, or London, designed to maximize team interaction. Remote work options are also considered. Basic Qualifications PhD in Operations Research, Machine Learning, Statistics, Applied Mathematics, Computer Science, or related fields, or equivalent experience. Excellent written and verbal communication skills. Experience programming in Java, Python … Experience in a fast-paced applied research environment. Ability to handle ambiguity. Top-tier publications in relevant fields. Key Responsibilities Solve complex optimization and machine learning problems using scalable algorithms. Design and develop prototypes addressing real-world logistics challenges. Lead analyses to support decision-making and communicate results … optimizing Amazon's logistics through advanced mathematical algorithms and data-driven techniques. We work closely with academic experts, employ cutting-edge methods like deep learning and reinforcement learning, and prioritize correct modeling and production-ready prototypes. Our goal is to support strategic investments and solve real-world problems More ❯

Problem-Solving: Strong problem-solving skills and attention to detail. Teamwork: Excellent communication and collaboration abilities. Cloud Solutions: Experience with cloud-based GIS solutions. Machine Learning: Knowledge of machine learning applications for geospatial data. DevOps: Familiarity with DevOps practices and CI/CD pipeline What we More ❯

Problem-Solving: Strong problem-solving skills and attention to detail. Teamwork: Excellent communication and collaboration abilities. Cloud Solutions: Experience with cloud-based GIS solutions. Machine Learning: Knowledge of machine learning applications for geospatial data. DevOps: Familiarity with DevOps practices and CI/CD pipeline What we More ❯

smoothly across the organisation. Integration & Standardisation: Integrating data across tools like Azure Data Factory, Python, and Snowflake, while standardising processes and building scalable systems. Machine Learning Integration: Supporting machine learning workflows by building and optimising data pipelines, with experience in either fine-tuning or deploying models More ❯

smoothly across the organisation. Integration & Standardisation: Integrating data across tools like Azure Data Factory, Python, and Snowflake, while standardising processes and building scalable systems. Machine Learning Integration: Supporting machine learning workflows by building and optimising data pipelines, with experience in either fine-tuning or deploying models More ❯

problems and business constraints into robust Bayesian or probabilistic AI solutions. Design and implement reusable libraries of predictive features and probabilistic representations for diverse ML tasks. Build and optimize tools for scalable probabilistic inference under memory, latency, and compute constraints. Apply and innovate on methods like Bayesian neural networks , variational … EM algorithms, etc. Proficiency in Python (must) and familiarity with PyMC, NumPyro, TensorFlow Probability , or similar probabilistic programming tools. Hands-on experience with classical ML and modern techniques, including deep learning , transformers , diffusion models , and ensemble methods . Solid understanding of feature engineering, dimensionality reduction, model construction, validation, and … or graph models . Experience applying probabilistic models in real-world applications (e.g., recommendation systems, anomaly detection, personalized healthcare, etc.). Understanding of modern ML pipelines and MLOps (e.g., MLFlow, Weights & Biases). Experience with recent trends such as foundation models , causal inference , or RL with uncertainty . Track record More ❯

of use cases. You will have the support to grow your expertise in industry and technology areas of depth. Every day you will be learning something new from your customers, your peers and your own experiments. Principal Solutions Architects work on the more complex customer challenges and opportunities. They … speaking, online videos or conferences). BASIC QUALIFICATIONS Experience with building, validating and deploying GenAI models and applications on cloud infrastructure. Sound knowledge of machine learning fundamentals, with working knowledge of frameworks such as Pytorch, TensorFlow, JAX or MXNet. Knowledge of MLOps tools and workflows for model development … Associate or Professional). Expertise in one or more of the following: DevOps, Containers, Big Data Solutions, Serverless, Networking, Security, Databases, IOT, AI/ML, Cloud Migration and IT Transformation. Hands-on experience benchmarking and optimizing performance of models on accelerated computing (GPU, TPU, AI ASICs) clusters with high-speed More ❯

of use cases. You will have the support to grow your expertise in industry and technology areas of depth. Every day you will be learning something new from your customers, your peers and your own experiments. Principal Solutions Architects work on the more complex customer challenges and opportunities. They … on the AWS Startup SA team. BASIC QUALIFICATIONS - Experience with building, validating and deploying GenAI models and applications on cloud infrastructure. - Sound knowledge of machine learning fundamentals, with working knowledge of frameworks such as Pytorch, TensorFlow, JAX or MXNet. - Knowledge of MLOps tools and workflows for model development … Architect Associate or Professional) - Expertise in one or more of the following: DevOps, Containers, Big Data Solutions, Serverless, Networking, Security, Databases, IOT, AI/ML, Cloud Migration and IT Transformation. - Hands-on experience benchmarking and optimizing performance of models on accelerated computing (GPU, TPU, AI ASICs) clusters with high-speed More ❯

a UAE National looking to kick start your career as a Technical Consultant? Do you want to experiment with innovative technologies, including Cloud Computing, Machine Learning, and Internet of Things? Are you passionate about educating, training, designing, and building enterprise cloud computing solutions for a diverse and challenging … Data & Analytics role supports our services that leverage data and produce business insights, which may include using Machine Learning/Artificial Intelligence (ML/AI). Helping our customers use and integrate Big Data services. Security Consultant - Supports our services that have a focus on enabling security specialists More ❯

The firm is expanding its team of Quantitative Traders with a particular interest in those who bring Alpha-generating strategies powered by AI/ML and advanced statistical learning techniques . Key Responsibilities Design, develop, and optimise mid/high-frequency trading strategies using quantitative and machine learning techniques. Leverage large-scale, high-frequency datasets to uncover alpha signals and drive decision-making. Integrate AI/ML models into trading workflows. Model and analyse market microstructure across global exchanges to improve execution and reduce slippage. Experience in backtesting strategies before live deployment. Work closely with low-latency … team players are both encouraged to apply. If you're a Quantitative Trader with a scalable, proven strategy, particularly one enhanced by AI/ML techniques, please apply and a consultant will contact you shortly. More ❯

The firm is expanding its team of Quantitative Traders with a particular interest in those who bring Alpha-generating strategies powered by AI/ML and advanced statistical learning techniques . Key Responsibilities Design, develop, and optimise mid/high-frequency trading strategies using quantitative and machine learning techniques. Leverage large-scale, high-frequency datasets to uncover alpha signals and drive decision-making. Integrate AI/ML models into trading workflows. Model and analyse market microstructure across global exchanges to improve execution and reduce slippage. Experience in backtesting strategies before live deployment. Work closely with low-latency … team players are both encouraged to apply. If you're a Quantitative Trader with a scalable, proven strategy, particularly one enhanced by AI/ML techniques, please apply and a consultant will contact you shortly. More ❯

Statistical analysis: strong understanding of statistical methods and their application in data analysis. Data management: experience with data cleaning, data warehousing, and data governance. Machine learning: knowledge of machine learning techniques and their implementation. Programming: fluency in programming languages such as Python, R, and SQL. Soft More ❯

in AI are key to our mission, spanning some of the most pressing research challenges of our generation across such areas as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as Deep Learning, generative models, reinforcement learning, computer perception, natural language … Responsibilities Collaborate on research projects within a globally based team to advance the science and technology of intelligent machines. Collaborate on research that enables learning the semantics of data (images, video, text, audio, speech and other modalities). Work towards long-term ambitious research goals, while identifying intermediate milestones. … the time of hire, and maintain ongoing work authorization during employment. Preferred Qualifications Experience working in a team solving modeling problems using AI/ML approaches. First-author publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, Interspeech and ICASSP). Experience driving original scholarship in More ❯

maintain AI systems to enhance product offerings and customer interactions. Conduct research and experimentation to improve AI algorithms and models. Train, evaluate, and deploy machine learning models into production environments. Collaborate with cross-functional teams to understand business requirements and deliver AI solutions that align with company values … members, including leaders, to share ideas, discuss problems, and drive continuous improvement. Qualifications and qualities which are preferred but not essential: Strong understanding of machine learning algorithms, deep learning frameworks, and AI technologies. Analytical and problem-solving skills, with the ability to challenge ideas and processes. Positive More ❯

have a startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … s challenges! It would be great if you also had experience in some of these, but if not we'll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS More ❯

have a startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … s challenges! It would be great if you also had experience in some of these, but if not we'll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS More ❯

ensure sales effectiveness REQUIREMENTS 1-3 years of sales experience in a SaaS business Experience in selling to technical audiences Experience with developer/machine-learning tooling preferred, but not required Proven ability to close complex sales cycles Proficiency with sales and marketing automation tools Interest in working … most exciting engineering fields of our era. An inclusive and supportive work culture that fosters learning and growth. Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are … a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all More ❯

Software Development Engineer - Machine Learning Job ID: Amazon Europe Core Sarl - D40 Do you want to solve business challenges through innovative technology? Do you enjoy working on cutting-edge, scalable services technology in a team environment? Do you like working on industry-defining projects that move the needle … Science, Computer Engineering, or related fields at time of application • Knowledge of Computer Science fundamentals • Experience with Natural Language Processing, Computer Vision, or Deep Learning PREFERRED QUALIFICATIONS Previous technical internship(s) if applicable Experience with distributed, multi-tiered systems, algorithms, and relational databases Experience such as linear programming and … solutions Adept at handling ambiguous or undefined problems as well as ability to think abstractly Experience with Natural Language Processing: Java or Python, and ML, AI, Labeling, Annotation, Data Pipeline, Big Data, AWS, or Cloud Services Experience with Computer Vision: Kernel, Hardware Accelerator, TVM, or Code-gen Experience with Deep More ❯

Software Development Engineer - Machine Learning Job ID: Amazon Europe Core Sarl - D40 Do you want to solve business challenges through innovative technology? Do you enjoy working on cutting-edge, scalable services technology in a team environment? Do you like working on industry-defining projects that move the needle … Science, Computer Engineering, or related fields at time of application Knowledge of Computer Science fundamentals Experience with Natural Language Processing, Computer Vision, or Deep Learning PREFERRED QUALIFICATIONS Previous technical internship(s) if applicable Experience with distributed, multi-tiered systems, algorithms, and relational databases Experience such as linear programming and … solutions Adept at handling ambiguous or undefined problems as well as ability to think abstractly Experience with Natural Language Processing: Java or Python, and ML, AI, Labeling, Annotation, Data Pipeline, Big Data, AWS, or Cloud Services Experience with Computer Vision: Kernel, Hardware Accelerator, TVM, or Code-gen Experience with Deep More ❯

ways. We're looking for a Data Engineer to join a squad passionate about delivering pioneering search experiences powered by Machine Learning (ML) and Large Language Models (LLMs). In this role, you'll help craft the team's data strategy and build the systems that power smarter … more intuitive discovery on Spotify. You'll work alongside a dedicated mix of ML and Backend Engineers to tackle some of Spotify's most exciting challenges in retrieval, ranking, and personalization. If you're excited by data systems, ML-powered products, and the opportunity to impact how millions of people … the role for you. What You'll Do Design, build, and maintain scalable, reliable data pipelines that support advanced search capabilities. Partner closely with ML and Backend Engineers to enable features like organic search retrieval and personalized recommendations. Continuously assess and improve the health of the team's data stack More ❯