101 to 125 of 1,017 Machine Learning Jobs in England

and experience in one or more technologies e.g. Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Machine Learning, Azure Synapse, Azure ML, Azure Cognitive Services, PowerBIKnowledge and exposure of financial regulation is highly desirableAwareness of industry trends across wider technology e.g. RegTech, Cloud, Big data & Analytics, and more »

are accounted for.Model-driven insights.Wielding our modelling and analytics tools (and adding new ones where appropriate) to discover insights. Such insights may be a learning about how our customers behave or the efficacy of a new modelling technique.Effectively communicate these insights with the broader business to drive value by … scientific computing and tooling — e.g., NumPy, SciPy, R, Matlab, Mathematica, BLAS.Self-driven with the capability to efficiently manage projects end-to-end.Bonus:Experience building machine learning models from scratch (e.g., built your own optimiser).Excellent knowledge of stochastic processes and related mathematical techniques.Experience with modelling credit risk or … your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The cultureAt 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 »

will therefore operate closely with business and Datascience experts covering Business sectors including Energy & Utilities, Banking, Insurance, Healthcare, Defence, Technology, and others. AI technologies: Machine Learning, Time series, Natural Language Processing, Generative AI, Computer Vision, Operational Research, Engineering, Data Marketing, Data Analytics (For more information about our Data … on positioning in the market. Supporting the operational and Career Management of Data science consultants Coaching and mentoring colleagues’ performance and development. Facilitating own learning and specialist subject matter knowledge whilst supporting the team to further develop their technical knowledge and consulting skills within the practice. What skills and more »

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the more »

including containers and serverless implementation. E.g. Kubernetes, Docker, OpenShift, AWS Lambda, Cloud Functions (GCP). • Machine learning tools and techniques, e.g. Auto ML, Tensorflow, Natural Language, Vision AI Common technology components: Google Cloud • App Engine • Cloud Functions • Kubernetes Engine, Compute Engine, VPCs • Cloud Spanner, Cloud SQL and BigQuery … Dataflow, Apache Beam • DialogFlow, Auto ML, AI Platform Architecture • Microservices patterns • Event-driven architectures and message queues • Relational and non-relational databases Languages and frameworks • Java 8+, JavaScript, Python • Common frameworks and APIs such as Spring Boot, Guice, Jersey, Node.js, Flask • Knowledge of JVM, its limitations, weaknesses, and workarounds • Building more »

Hello there, Greetings from INFOPLUS TECHNOLOGIES!!! We are actively looking for contract role for a ML Ops Engineer. Job Details: Role Title: ML Ops Engineer Contract duration: 3 months Location: London- HYBRID Industry: banking -------------------------------------- Required Core Skills: -CI/CD pipelines and Agile frameworks -MLops -Python - Min 8 yrs experience … and 5 yrs experience in machine learning Nice to have skills: -data engineering -LLM and Gen AI Minimum years of experience: 5-8 Detailed Job Description: - Polygot Developer , able to code (or learn quickly) multiple languages, such as python, java, javascript, html, golang, etc. -Able to quickly pickup more »

Golang. Focusing on APIs, databases and asynchronous messaging. Your code will run on both pitch side and cloud servers. You will be exposed to machine learning techniques and algorithms for detecting and classifying complex sporting events in real-time, streaming data, networking and CI/CD. You’ll more »

architecture and making technical decisions. Some exposure to AWS (or other cloud platform) and best practices like EC2, S3, auto-scaling, security. Passion for learning and problem solving. At least one of the following: Working on an AI driven product. Used to working closely with data scientists or machine learning engineers, understanding some of the concepts and terminology. Experience contributing to data-dense products with complex, scaling architectural needs. Demonstrated passion for open-source software. Our ideal candidate will champion engineering excellence, open source, and delightful user experiences. We are looking for candidates with significant experience in more »

System (EBMS), our cloud-based building analytics platform, is evolving with smart analytics capabilities centered on leveraging machine learning and artificial intelligence (ML/AI) to support operation facilities globally. We are actively seeking a highly-motivated, multi-talented Senior Program Manager who is enthusiastic about developing cloud more »

may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment … to have expertise of Advanced Analytics techniques that are traditionally applied to structured data, as well as deep understanding of Natural Language Processing and Machine Learning techniques for unstructured content, so as to enable composition of holistic cognitive solutions. Is expected to be well versed in one of … an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow more »

few years experience within data science with exposure to Data Engineering/ML. Job Responsibilities/Outline of job Utilize advanced statistical techniques and machine learning algorithms to extract meaningful insights from large and complex datasets Hands on/technical experience with Model development Communicate findings, recommendations, and … such as Python, SQL, Snowflake, dbt Ability to contribute to team efforts & work independently Strong Data Science understanding with exposure to Data Engineering/ML Strong understanding of ML Ops tools, algorithms, and techniques, with practical experience in applying them to real-world problems If you are interested in this more »

in shaping our pricing & content strategies, engagement tactics and to help optimize our customer experiences. Your findings will empower our teams and direct our machine learning algorithms to make well-informed decisions that resonate with our online audience. Experience across the above industries or any disruptive technology brand more »

Experienced with structured, semi-structured (e.g. JSON, XML), and unstructured data (text). Experience building solutions drawing data from REST APIs. Working knowledge of ML Ops and machine learning model serving . Writing and maintaining data quality tests. Experience of industry-standard data transformation tools (e.g. DBT). more »

in Linux using Linux CLI + Experience with version control software (i.e. git) + Hands on experience with logic analysers and oscilloscopes Bonus: + Machine vision/machine learning knowledge + Experience with coding standards like CERT & MISRA What you’ll get: + £50-65k + more »

C/C++, C#, Python, Bash, Device Tree · Docker, Blazor, OpenCV, RabbitMQ, MongoDB, Grafana, OpenAPI, Torizon, Yocto · Hardware-In-The-Loop” CI/CD · Machine vision and/or machine learning · Kernel space development · Hardware design experience · Experience implementing complex algorithms in embedded devices · Experience with coding more »

Responsibilities/Principal Accountabilities: Develop and integrate software solutions using Python, focusing on advanced GIS functionalities and AI applications such as computer vision and machine learning. Leverage ESRI APIs to employ advanced spatial data manipulation and visualisation techniques, supporting LabX’s strategic objectives. Implement and customise GeoAI techniques, using … models (and others) and frameworks like TensorFlow and PyTorch, to analyse geospatial data from imagery, video, point clouds, and text. Design, implement, and optimise machine learning models for urban planning applications, applying libraries such as Shapely, Rasterio, and others for intricate geospatial analysis. Engage in the strategic growth more »

for collaboration (London), a strong benefits package including a personal L&D budget with access to external library content, conferences and a career/learning path, plus a salary between £60,000 - £90,000. My client is entering their 5th year of business with an industry leading production software. … build new product features and expand their capabilities for their clients which includes global businesses such as Tesco, Virgin Media, Liberty Global & more. Using Machine Learning and Automation, the AI tool integrates with clients accounts and ERP systems to track, monitor and flag anything from fraud detection, over more »

team. This role involves developing a cutting-edge desktop application and its associated Python backend. The app enables users to deploy, use, and build ML models collaboratively and perform data analytics in a privacy-preserving manner. The application runs on the user’s hardware, posing unique challenges in maintaining flexibility … Role Python : Proficiency in Python and Python unit testing + 5 years MLOps : Experience with machine learning operations, including training and deploying ML models. Automated Testing Frameworks : Knowledge of frameworks that contribute to continuous integration pipelines. Container Technologies : Experience with tools such as Docker. Desktop Application Development : Familiarity … with developing and deploying desktop applications. DevOps Practices : Understanding modern DevOps practices, version control systems (e.g., Git), and CI/CD pipelines. ML Frameworks : Experience with PyTorch, TensorFlow, or NumPy. More about you: An experienced engineer with a track record in modern software engineering and DevOps practices. Passionate about performance more »

Strong proficiency using Python and attached libraries. Experience in data manipulation and analysis using relevant libraries and frameworks. Solid understanding of statistical concepts and machine learning techniques. Proficiency in data visualization tools and techniques to effectively communicate insights. Experience with database querying languages (e.g., SQL) and working with more »

generation data experience for scientists, engineers, and decision-makers - increasing productivity, and reducing time spent on "data mechanics" Provide best-in-class AI/ML and data analysis environments to accelerate predictive capabilities and attract top-tier talent Aggressively engineer data at scale to unlock the value of our combined more »

any modern organisation and Aviva is no different. Our Data Engineering team sits within Aviva Quantum our global Data Science Practise (covering areas including Machine Learning, Analytics, Data Engineering, AI and many more). You will form a vital part of our business, contribute to our first-class more »

a fantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability. About you: Our team is our more »

Expert Software Engineer with around 5-10 years’ experience designing and building complex, large-scale distributed systems, sought by a Global Leader in Electronic Markets. Our client is a mega-successful Electronic Trading business business which holds leadership positions in more »

The ideal candidate's favourite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyse raw data: assessing quality, cleansing, and structuring … Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C++, Java, SQL) Familiarity with Big Data frameworks and visualization more »

of structured and unstructured data, including the integration of data through AWS and Azure cloud-based ingestion and curation processes. Knowledge of data mining, machine learning, and natural language processing is considered an advantage. Familiarity with Agile methodologies and participation in Scrum ceremonies. Competence in the design and more »