76 to 100 of 948 Machine Learning Jobs in England

/Eligibility required. Qualifications Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, natural language processing, computer vision, or other AI techniques and algorithms Familiarity using cloud based AI services for use … processing, and feature engineering Experience in designing and architecting solutions Experience in cloud computing, distributed systems, microservices, and APIs Experience around productionising AI/ML models Prompt engineering Lang Chain/Semantic Kernel Frameworks Experience exploring, analysing, and visualising data Excellent communication, collaboration, and problem-solving skills Additional Information Location more »

/Eligibility required. Qualifications Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, natural language processing, computer vision, or other AI techniques and algorithms Familiarity using cloud based AI services for use … processing, and feature engineering Experience in designing and architecting solutions Experience in cloud computing, distributed systems, microservices, and APIs Experience around productionising AI/ML models Prompt engineering Lang Chain/Semantic Kernel Frameworks Experience exploring, analysing, and visualising data Excellent communication, collaboration, and problem-solving skills Additional Information Location more »

/Eligibility required. Qualifications Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, natural language processing, computer vision, or other AI techniques and algorithms Familiarity using cloud based AI services for use … processing, and feature engineering Experience in designing and architecting solutions Experience in cloud computing, distributed systems, microservices, and APIs Experience around productionising AI/ML models Prompt engineering Lang Chain/Semantic Kernel Frameworks Experience exploring, analysing, and visualising data Excellent communication, collaboration, and problem-solving skills Additional Information Location more »

for business improvements Key Skills 3+ years of Python experience Highly statistical and Analytical Exposure to Google Cloud Platform ( BigQuery, GCS, Datalab, Dataproc, Cloud ML (desirable) Spark & Hadoop experience Strong communication skills Good problem solving skills Qualifications Bachelor's degree or equivalent experience in a quantative field (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,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra more »

applications for performance, scalability, and security. Participate in code reviews, providing constructive feedback to team members. Mentor junior developers, fostering a culture of continuous learning and improvement. Stay up-to-date with the latest industry trends and technologies to ensure our solutions remain competitive. Qualifications: Bachelor's or Master … oriented environment. Preferred Qualifications: Experience with Agile/Scrum methodologies. Familiarity with DevOps practices and CI/CD pipelines. Knowledge of data science and machine learning concepts. Experience with other cloud platforms and technologies. What We Offer: Salary between £100-110k Competitive bonus Competitive pension Enhanced private more »

and present findings and recommendations to senior management Work with data analytics colleagues across ICE exchanges to develop and integrate predictive analytics, artificial intelligence, machine learning and other new technologies in support of developing market and client analytics Develop requirements for ICE development and IT teams that may more »

and translate these into clear requirements for your analysis. Identify opportunities for the use of advanced analytics techniques (e.g., marketing analytics, predictive modeling, and machine learning) to provide additional value to clients. Use robust statistical techniques when appropriate and be able to communicate your methodology to a wide more »

AND EXPERIENCEStrong academic background to Degree level in a numerical subjectStrong commercial experience in AI Architecture and Data Science, with experience scaling AI/ML solutionsExperience deploying models into production in a cloud environment.Experience working in the Insurance industry is essentialGood communication skillsTech: Python, SQL, AWS/GCP/AzureSALARY more »

Proven experience as a CTO, technical co-founder, or similar leadership role in a startup or fast-paced environment. Proven experience in Python and machine learning. Deep expertise in AI technologies, including machine learning, natural language processing, computer vision, and data analytics. Strong background in software development more »

Familiarity with electric vehicle (EV) charging infrastructure and industry standards such as OCPP, OCPI, ISO15118, CCS, CHAdeMO, AC Level 2, etc.Experience with data analytics, machine learning, or artificial intelligence technologies, with the ability to leverage data-driven insights to enhance user experiences and optimize business operations.Knowledge of cybersecurity … benefits such as the Calm app, personal medical insurance, critical illness cover and dental insurancePension contributionAccess to our car benefit schemeAccess to our online learning platform to continue to develop and grow your career with us.LocationThe business is currently based in our offices in Southwark. The position is full more »

Parquet files, interrogatable through Spark and MapReduce. This modern platform will support rapid data insight generation, data experiments for new product development, our live Machine Learning solutions and live client facing dashboards. To complete this initial work (stage one), together you will ensure efficient, robust data flows (including more »

London.) Xcede are delighted to be working with a well-renowned insurance company based in Hertfordshire. The company have an excellent Data Science and Machine Learning unit … supported by a group of Data Engineers who are responsible for Data Pipelines. As a bonus - Data Engineers are also able to help with ML model deployment and MLOps. Responsibilities Design and implement Data Pipelines for both structured and unstructured data. Support and improve ML infrastructure – particularly Azure ML. Contribute … preferably Azure) environment TDD & CI/CD experience Containerisation experience (Docker, Kubernetes, etc.) MongoDB (or NoSQL) experience Terraform experience Previous experience in managing the ML lifecycle with MLFlow more »

the UK Data Practice and support the broader Global Data Practice on industry changing topics such as Advanced Analytics, Artificial Intelligence, Intelligent Automation, and Machine Learning. Collaboration, enthusiasm, and encouragement are key in ensuring we maintain our culture, and working in an environment where clients become colleagues. We are … Data Strategy, Data Management, Data Governance, Data Architecture, Data Privacy, Data LiteracyExpertise in one or more of the following Data Science, Analytics & AI concepts: Machine Learning, Business Intelligence, MLOps, Analytics operating models, AI development and operationalisation, Data & AI Ethics, Data AnalysisAbility to develop working relationships with a wide … will transform the financial services industry. We offer: A work culture focused on innovation and creating lasting value for our clients and employees Ongoing learning opportunities to help you acquire new skills or deepen existing expertise A flat, non-hierarchical structure that will enable you to work with senior more »

office) Xcede are delighted to be working with a well-renowned insurance company based in Hertfordshire. The company have an excellent Data Science and Machine Learning unit … supported by a group of Data Engineers who are responsible for Data Pipelines. As a bonus - Data Engineers are also able to help with ML model deployment and MLOps. Responsibilities Design and implement both Data Pipelines for both structured and unstructured data. Support and improve ML infrastructure – particularly Azure ML. … preferably Azure) environment TDD & CI/CD experience Containerisation experience (Docker, Kubernetes, etc.) MongoDB (or NoSQL) experience Terraform experience Previous experience in managing the ML lifecycle with MLFlow more »

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 more »

causaLens is the pioneer of Causal AI — a giant leap in machine intelligence. We are on a mission to build truly intelligent machines, machines that truly understand cause and effect— it’s hard but super fun! If you want to build the future and are looking for a place … a plus Experience in supply chain, demand forecasting, retail/cpg, manufacturing, marketing, financial services, or public sector is a plus About causaLens Current machine learning approaches have severe limitations when applied to real-world business problems and fail to unlock the true potential of AI for the more »

to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart … life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun more »

Experience in developing visual reports, KPI scorecards, and dashboards using Power BI for any new Products and services, Experience in building predictive models and machine-learning, Knowledge of statistics and experience using statistical packages for analyzing datasets, Experience in data mining, Knowledge of R, SQL and Python; familiarity more »

to develop deep business insights and architect key business metrics. You will partner with scientists to build forward-looking data experimentation, predictive modeling, and machine learning algorithms. The role is cross functional and will require working closely with a wide variety of stakeholders including senior members across engineering more »

the expedition of their new product launch. They offer a fantastic progression plan and brilliant training. They are currently researching the benefits of AI & ML in the Finance sector and plan to start work commercially later in 2024. Could you be the one implementing AI in the Fintech space? You more »

the expedition of their new product launch. They offer a fantastic progression plan and brilliant training. They are currently researching the benefits of AI & ML in the Finance sector and plan to start work commercially later in 2024. Could you be the one implementing AI in the Fintech space? You more »

opportunities and cost-saving measures across the organization. Lead and mentor a team of data analysts and BI specialists, fostering a culture of continuous learning and development with a specific focus. Qualifications: Minimum of five years of leadership experience in business intelligence and analytics. Proven track record of success … BI specialists, fostering a culture of continuous learning and innovation. Preference for candidates with experience in Microsoft Azure, Azure Synapse Analytics, and Azure ML Studio, and experience in integrating various Microsoft technologies for comprehensive data solutions. Additional consideration for candidates with experience in data science and proficiency in Python … for data analysis and machine learning applications. Please share your CV on shivani@thereacthub.com or you can directly call me on +44 2038542459. more »

a Tech professional like you work for a 150-year-old retail chain? Because we’re on a journey. Changing the way we operate. Learning to think nimble. Giving our teams the time and freedom they need to push boundaries. To create amazing systems and technologies. To give our … on the journey with themWhat we’re looking forA strong quantitative academic background likely to consist of a university degree (e.g. statistics, mathematics, physics, machine learning, engineering)Experience of generating data science solutions by working with customer data to drive business activity is crucial.Experienced at managing a team more »

drive strategic decision-making and improve overall business performance. Required technical skills: Proven experience as a Data Scientist or similar role. Strong knowledge of machine learning algorithms, statistical modelling, and data mining techniques. Proficiency in data science toolkits and programming languages such as Python, R, SQL, and SAS. more »

s leading financial organisations. The company is working with numerous aspects of pioneering technologies including cloud engineering (partnerships with AWS, Azure and GCP), AI, Machine Learning and blockchain. This is an exciting opportunity whereby you will have the opportunity to successfully deliver a number of neo banks. As more »