76 to 100 of 829 Permanent Machine Learning Jobs in England

this emerging new technology. The successful ISA Architect will come either from a solid industrial or research background, and have a real passion for machine learning/AI/high performance computing. For this role candidates need to be familiar with Instruction Set Architecture (ISA) and assembly code … with strong knowledge of either: Computer architecture (CPU/GPU), dataflow architecture, ISA design OR – AI acceleration, machine learning, dataflow architecture, or Neural Processing Unit (NPU) The successful candidate will earn an excellent salary and really enjoy working within this friendly, fast-paced and hugely innovative team. Visa more »

will vary dependant on experience. Key Responsibilities for this Senior Compute Library Engineer position: Developing high-performance kernels for use on NPU architectures by ML operators. Ensuring maximum efficiency and performance of existing kernels. Integrating kernels into NPU framework in collaborating with hardware and software teams. Conduct testing and debugging … in parallel programming in either CUDA or OpenCL. Strong software development skills (including strong skills in C/C++) and a basic understanding of ML frameworks. Strong expereince with SIMD is highly advantageous. Keywords: Compute Library/CL/Parallel Programming/CUDA/OpenCL/Microarchitecture/Micro-architecture …/Micro Architecture/Git/Jira/Machine Learning/ML/Tensorflow/Pytorch/C/C++/NPU/CPU/GPU/VPU If you are interested in this Senior Compute Library Engineer position, please send a copy of your CV to ts 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 »

on various models across Pricing, Fraud and Claims. What you'll do: Collaborate with business partners to improve processes using new data and sophisticated ML techniques. Manage projects from inception to deployment, including benefit assessment. Collaborate with DevOps and Data Engineers to deploy ML models on AWS. Develop Python code … or equivalent a numerate subject: Machine Learning, Computer Science, Statistics, or similar Demonstrable experience of applying, researching, and developing sophisticated statistical/ML methods to drive value in a commercial setting, Ability to deliver projects on time, taking project briefs and refining them to strong results. Exposure to … BAU. Experience in a wide breath of techniques covering NLP through to causal inference. Exposure to the best technology, architectural patterns, and integrations of ML/GenAI to production in the industry. Additional information Why choose us? This is your opportunity to be at the forefront of our game-changing more »

Cloud Functions Cloud Storage Pub/Sub IAM Management Looker Data Studio Coding experience with Python/Javascript/C# Familiarity with statistical/machine learning/AI concepts and techniques Understanding of data pipeline/orchestration tools e.g. dbt, dataform Appreciation of GCP’s serverless technologies e.g. 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 »

data mining, and data integration techniques to ensure that data is accessible and reliable. • Experience with Machine Learning and Artificial Intelligence including ML and AI techniques to develop predictive models and enhance algorithmic strategies. Familiarity with libraries and frameworks like TensorFlow, PyTorch, or Scikit-Learn can be particularly 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 »

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 »

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 Analyze 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 modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and 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 »

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 »

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 »

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 »

Data warehousing and segmentation techniques (GCP). • Big query, big tables and Compute engine in GCP. • Knowledge of programming languages Python, R, and java. • Machine learning will be added advantage. • Hands-on experience with SQL database design • Great numerical and analytical skills • Data engineering certification is a plus 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 »

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 »

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 »

The Role: The successful candidate will work on all aspects of our client's data architecture, collection, pipelining, governance, and security. This extends to machine learning deployments, financial benchmark production, and internal auditing of data quality and integrity. The Tech: Python: Strong proficiency, including experience with libraries like 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 »

translate them into actionable analytical tasks. Develop and implement advanced analytics techniques to extract meaningful insights and drive business value. Utilise statistical methods and machine learning algorithms to uncover patterns, trends, and opportunities within large datasets. Design and maintain dashboards, reports, and data visualizations to communicate findings effectively more »

specific expertise in relation to the collection and use of data in online advertising and adtech, fraud prevention data, fan data, sports betting data, machine learning and artificial intelligence. More broadly, the team helps clients manage privacy, reduce development costs and maximise the potential of data, with a more »