701 to 725 of 3,372 Machine Learning Jobs in England

healthcare, manufacturing and agriculture. Working cross-functionally in this fast-growing startup, you will have a unique opportunity to develop first-class AI and ML products and solutions and join a business at an exciting stage of growth as they prepare to scale. You should consider this opportunity if the … entails over a job in a large corporation ✔️ You are excited about Generative AI and what the future holds About the role : Develop Deep Learning solutions Develop the methodology and assessment criteria to measure solution performance Track and implement advancements in Deep Learning and Computer Vision Maintain Machine Learning products Help shape the data science team as it scales About you : Current or recent experience in a tech startup or scale-up with a fast-paced environment Expertise in Deep Learning and Computer Vision (incl. image classification, detection, facial recognition, etc.) Understanding of transfer learning More ❯

this role, you will direct AI-driven solutions, apply plasma physics expertise, and guide a multidisciplinary team using Python. Candidates with advanced AI/ML expertise or a physics background-particularly in plasma science-coupled with professional AI/ML experience are encouraged to apply. This position offers a unique … semiconductor solutions, such as plasma etch and deposition. Utilize Python libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) to architect and prototype cutting-edge ML systems, leveraging Linux environments. Able to expand programming expertise to other languages such as C++ and Java. Drive complex AI and physics-driven projects, collaborating … with engineering, application, and customer support teams to deliver market-ready products. Mentor and coach team members, fostering expertise in AI, ML, and physics within the Innovation Group, and assume leadership roles as required. Shape our AI-powered product roadmap, identifying new opportunities by adapting technologies from diverse fields. Build More ❯

MLOps Engineers (Mid, Senior & Lead level) – UKIC DV Cleared | AI/ML Start-up | Manchester | Hybrid Are you an MLOps Engineer with active UKIC DV clearance looking to make a real-world impact at the cutting edge of AI and machine learning? We’re hiring Mid, Senior, and … the forefront of delivering scalable, production-grade AI solutions across mission-critical domains. You’ll play a key role in designing and deploying robust ML infrastructure, supporting both public and private sector clients. What You'll Do as an MLOps Engineer: Deploy and manage machine learning models in … tools like Terraform, Docker, Kubernetes, and Python Contribute to agile ceremonies (sprint planning, retrospectives, code reviews) Collaborate on high-impact, real-world AI/ML projects that truly make a difference Contribute ideas in a relaxed, open, and innovation-driven culture Location & Flexibility for the MLOps Engineer: Hybrid role based More ❯

Senior Consultant - AI/ML, Tech & Industry AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. AWS Asia Pacific & Japan (APJ) Professional Services (ProServe) is seeking … a Senior Consultant, AI/ML for its Technology & Industry team. This role will be focused on helping customers build or migrate their data-driven business workloads on AWS. From ideation through to build and then to operate, AWS ProServe is committed to helping customers accelerate their time-to-value. … our customers across all industries. This Senior Consultant will be based in India. Successful candidates will be experienced and motivated business-oriented AI/ML practitioners. They must possess a unique balance of business knowledge and technology depth in Artificial Intelligence and Machine Learning with delivery implementation experience. More ❯

pipelines, combined with a strong focus on observability and the ability to leverage vendor technologies to deliver impactful solutions. While this is not an ML development role, familiarity with the machine learning lifecycle is an advantage. Key Responsibilities Distributed Systems Development : Design and build scalable distributed systems using … and Databricks to deliver scalable, robust solutions. Observability Knowledge : Deep understanding of observability principles, including monitoring, logging, and real-time system insights. AI/ML Lifecycle Awareness : Familiarity with the machine learning lifecycle (e.g., tools like MLflow) and its integration into production systems. Collaboration : Strong interpersonal skills with More ❯

re looking for a Senior or Lead Machine Learning Engineer to join a growing data science team, focused on delivering production-ready ML solutions and building reliable cloud infrastructure on Azure. Responsibilities: Lead ML projects from design to production deployment Build and manage data pipelines and cloud-based … reviews Skills & Experience: Strong Python expertise (Pandas, scikit-learn) and solid SQL skills Hands-on experience with Azure services (VMs, Web Apps, Storage, Azure ML) Knowledge of DevOps tools: GitHub Actions, Terraform, Docker, Kubernetes, Airflow Understanding of software engineering best practices and cloud security Exposure to ML model lifecycle and More ❯

of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance. Role Overview: As ML Engineer, RegBrain, your mission is to: Participate in the continuous improvement of RegBrain's products. Develop advanced NLP and AI-based products that will delight … users. Provide excellence in cloud-based ML engineering, with as much focus on Operations as Development. Expand of the Team's knowledge via demonstration and documentation. Key Responsibilities: As a machine learning engineer, your main responsibility is to conduct the development andproductionisationof ML and NLP-based features for … CUBE's products - a SaaS Platform (RegPlatform) and an API (RegConnect). Develop optimal ML & NLP solutions for RegBrain use cases, from baseline to SOTA approaches, wherever appropriate. Produce high quality, modular code, and deploy following our established DevOps CI/CD and best practices. Improve the efficiency, performance, and More ❯

cross-functional teams - bringing together Engineering, Data Science, Product and Architecture - to build automated decisioning systems that have real impact. We are hiring an ML Engineering Manager to lead our Digital & Retail team. Reporting to the Head of ML Engineering, you will build & run systems thatimpact millions of customers online … and tens of thousands of colleagues in our stores. What you'll do Lead, coach, and grow a high-performing team of ML engineers. Architect, build, scale and run critical ML applications - from data sourcing & feature engineering to training, deployment, real-time serving and monitoring. Partner with data scientists to … develop & productionise models, ensuring scalability, reliability, and maintainability. Drive innovation, automation in collaboration with other ML Engineering teams. Own end-to-end delivery and operations, balancing feature development with sustainability. Manage delivery timelines, prioritising work and removing blockers to keep projects on track. Champion agile/lean delivery, oversee budgets More ❯

researchers with experience in one or more of the following areas: autonomous agents API orchestration Planning large multimodal models (especially vision-language models) reinforcement learning (RL) sequential decision making BASIC QUALIFICATIONS PhD, or Master's degree and 6+ years of applied research experience 3+ years of building machine learning models for business application experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS Experience with genAI and agents Experience in shipping AI products Our inclusive culture empowers Amazonians to deliver the best More ❯

3+ years of experience in backend engineering and applied machine learning Ability to design, build, and maintain scalable backend and ML infrastructure Proficient in Python Experience deploying services and machine learning models to cloud platforms such as Google Cloud, Azure, etc Hands-on experience with Large … Language Models (LLMs) and modern ML architectures (Bonus) Familiarity with knowledge graphs and their integration into ML systems Comfortable working in fast-paced, ambiguous startup environments Strong ownership mentality and ability to work across the stack when needed More ❯

3+ years of experience in backend engineering and applied machine learning Ability to design, build, and maintain scalable backend and ML infrastructure Proficient in Python Experience deploying services and machine learning models to cloud platforms such as Google Cloud, Azure, etc Hands-on experience with Large … Language Models (LLMs) and modern ML architectures (Bonus) Familiarity with knowledge graphs and their integration into ML systems Comfortable working in fast-paced, ambiguous startup environments Strong ownership mentality and ability to work across the stack when needed More ❯

collection at scale and infer information. The end goals are company classification, tag extraction, relationship mapping, and company valuation. There is huge potential for machine learning, analytics, and NLP. Your responsibilities: Build and scale an automatic data pipeline Ingest and analyze various data sources to drive innovation in … to date/share your passions Stay up to date with state-of-the-art approaches and technological advancement Share your passion for science, ML, and technology Who are you? You have BS or MS in Computer Science or Mathematics related field . You have 3+ years of experience as … have: Experience with Neural Networks/Deep Learning. Experience with information extraction, parsing, and segmentation. Experience with machine learning frameworks ( sklearn ) and ML workflow. Experience with NLP libraries and text preprocessing (nltk, SpaCy, language models, ). Experience with cloud environments: AWS, Azure. Experience with business intelligence tools like More ❯

consistency. Develop Scalable Data Models: Collaborate with analysts and data scientists to design and maintain data models that enable more intuitive use for reporting, machine learning, and advanced analytics. Research and Adopt Emerging Data Technologies: Stay ahead of industry trends by researching emerging tools and frameworks. Recommend and … degree in mathematics, physics, computer science, engineering, or a related field. Understanding of data science concepts and experience collaborating with data scientists to productionise machine learning models. Active participation in tech or open-source communities, with a passion for sharing knowledge and inspiring others. Strong communication skills, with … application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore More ❯

reality. Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested software - preferably in the AI/ML industry. Candidates should be comfortable with modern, cloud-native computing, and with continuous development and production deployment on cloud platforms to large user populations. Educational … 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 … 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, data and compute infrastructure Responsible for high quality software implementations according to best practices, including automated test suites and documentation Develop, measure More ❯

needed. The team leverages state-of-the art technology and GenAI to deliver the products and associated goals. BASIC QUALIFICATIONS 3+ years of building machine learning models for business application experience PhD, or Master's degree and 6+ years of applied research experience Experience programming in Java, C++ … Python or related language Experience with neural deep learning methods and machine learning Experience with prompting techniques for LLMs PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark More ❯

IDEX. Application Instructions Interested applicants should write to us with: a letter of interest, CV, and should require two recommendation letters. Context Bayesian deep learning brings together two of the most important machine learning paradigms: Bayesian inference and deep learning. On the one hand, Bayesian learning … a theoretically sound framework to formalise the estimation of the architecture and the parameters of deep neural network models. On the other hand, deep learning offers new tools in Bayesian modelling, e.g. to learn flexible nonparametric priors or computationally efficient posterior distribution approximations. State of the Art The field … of machine learning has recently been much impacted by deep learning. Deep neural networks are now at the basis of the state-of-the-art in computer vision, natural language processing, to cite just a few. While very effective, these models are computationally costly and require large quantities More ❯

Professional Services Consultant - Early Career Program Role starts in March or September 2025. 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 in what is arguably our industry's most exciting space. Security Consultant: Supports More ❯

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 ❯