51 to 75 of 422 Permanent Machine Learning Jobs in the UK excluding London

advanced analytics supporting our Healthcare insurance business. As the insurance industry evolves in a technologically dynamic age, Aviva is strategically investing in data science, machine learning, and advanced analytics as a distinctive capability. A bit about the job: In this role, you'll play a vital role in … align seamlessly with the objectives of each team. You will also be closely collaborating with data scientists and engineers to deploy, monitor and maintain ML models in production, as well as implement best practices for continuous integration, testing and deployment of ML models. As a leader in this domain, you … learning model development and deployment. Excellent communication and teamwork skills, capable of collaborating effectively with non-technical colleagues. Strong knowledge of Python and ML libraries (PyTorch, Tensorflow, Keras, etc.) with R/SQL knowledge, partnered with experience with MLOps tools (Kubernetes, Docker, Jenkins, etc.) would be advantageous. Strong knowledge more »

be to harness the power of data to extract meaningful insights, inform strategic decisions, and contribute to the overall success of the organisation using machine learning and statistical techniques. You will have access to the latest analytical tools and the chance to work with some of the most … Aug 2024 Role Responsibility Our Senior Data Scientist will be fully accountable for the following areas; Advanced Analytics & Modelling: Design, develop, and implement advanced machine learning algorithms and statistical models to solve complex business problems. Drive the exploration and adoption of cutting-edge data science techniques and technologies. … high standards. Agile ways of working - Demonstrate experience in working in an agile environment, participating in sprint planning, and adapting to changing priorities. Continuous learning - Stay abreast of industry trends, emerging technologies, and best practices in data science and machine learning. Bring the most relevant ones back to more »

projects alone or with other data scientists, using analytical tools and environments to develop and deliver data science products including processing pipelines, interactive dashboards, machine learning models, as well as carrying out statistical analysis and deriving valuable insight. You will get the opportunity to work closely with customers … and business experts to scope and design the most effective and appropriate offers to solve their problems. Current and past tasks range from using machine learning to extract causality for road collision severity, to visualising and mapping insights; using computer vision AI techniques to extract information from raster … communication skills with the ability to tell compelling stories and adjust style to suit clients/stakeholders with varied technical knowledge A passion for learning new technologies and an interest in the Transportation, Environment or Energy sectors Bachelor’s degree in Computer Science, Applied Mathematics, Statistics, Engineering, or related more »

conducting and supporting research and development across diverse areas such as cloud computing, high-performance computing, algorithm development, engineering and scientific computing, artificial intelligence, machine learning, and Exascale technologies. We work at the forefront of engineering and science, ensuring fusion reactors are well understood and engineered, with our … research directly informing engineering efforts. Currently, we're seeking individuals for Artificial Intelligence & Machine Learning roles to contribute to various projects, providing software development, data analysis, and user support. You'll also engage with partners to ensure access to top facilities and assist in report preparation, actively meeting … Julia, R, Python, Swift Parallel Scripting). - Strong experience with UNIX operating system, particularly the command line interface. - Demonstrable experience in common AI/ML frameworks such as PyTorch, TensorFlow, OpenNN. - Knowledgeable in different types of neural networks and other ML techniques, including Gaussian Processes, confidence measures, clustering techniques, and more »

be about designing, planning and implementing systems based on LLM-inference, including advanced RAG. To this end you will collaborate tightly between Data Scientists, Machine Learning and Big Data Engineers, as well as Cloud Software Engineers and DevOps in a Scrum environment. You can support streamlining deployment and … in MLOps for large models to build a better future where a new job is just a click away. Your responsibilities: Implement and productionise ML-based services using Sagemaker Collaborate with Data Scientists to design and implement LLM-based inference workflows Utilize IaC and CI/CD best practices to … deployment of LLM-based systems, ensuring efficient and scalable solutions that meet our business needs. Your skills and qualifications: 5+ years of experience in Machine Learning Engineering, Data Engineering, or a related field Proficiency in production-level Python (Clean, SOLID) and industry experience with Amazon Sagemaker deployment of more »

team to understand the requirements and specifications of software projects- Design, implement, and maintain high-quality, scalable, and robust python code and libraries- Apply machine learning techniques and algorithms to solve complex problems and generate insights from large and diverse datasets.- Troubleshoot, debug, and optimise the performance and … software engineer, preferably in the biotech or healthcare industry- Proficiency in broader Python ecosystem Django, NumPy, pandas, scikit-learn, TensorFlow, PyTorch, etc.- Experience in machine learning, data science, and data visualization, using tools such as Jupyter, matplotlib, seaborn, plotly, etc.- Knowledge of web development, RESTful APIs, cloud computing more »

Job Title: Lecturer/Senior Lecturer in Embedded Computing and Machine Learning Location: Cambridge Salary: £37,099 - £54,395 per year. Job type: Full Time, Permanent. Closing Date: Tuesday 18th June 2024. About ARU: ARU is a global university transforming lives through innovative, inclusive and entrepreneurial education and … be expected to conduct teaching and research in general computing topics and have specific interests and skills in Embedded Computing, including Arm technology. Distance learning delivery expertise will be an advantage. This position will also require the preparation of funding bids for research funding, to generate external income, supervision … opportunity. Candidates with experience or relevant job titles of; Computing Lecturer, Tech Lecturer, Computing Tutor, Computing Teacher, Computer Science Lecturer, Lecturer in Computer Science, Machine Learning Lecturer, may also be considered for this role. more »

role will entail: * Gathering and manipulating disparate data, applying analytical techniques and visualising results. * Application of various tools, data mining, statistical techniques, algorithms and machine learning principles to identify trends, patterns and insights from raw data. * Extracting meaning from data, uncovering insights and identifying opportunities to inform business … in data sets.Main Skill-Set We are looking for a good mix of the below skills, (not necessarily all of the below): * AI/Machine learning techniques - such as logistic regression, clustering, data modelling * Statistic modelling * Coding - R, Python, SQL * Creating data architectures * Data visualisation experience - Tableau, PBI … is essential you have the following: * 3+ years' experience as a Data Scientist * Excellent communication: clear, concise & articulate. * Passion for Data, Analytics, AI and Machine LearningBenefits PackageYou will be awarded the following benefits package: * Base Salary - From 60,000 to 65,000 per annum (may stretch to more »

Senior .Net Developers (.Net 7, Azure, Machine Learning) Bournemouth, Dorset (2-3 days per week in office) £45-65k + 7-8% Bonus + £5k Relocation package. There is a £5000 relocation package available for these roles, but only for candidates in the UK. NO Visa Sponsorship … select the right tool from the job rather than being wedded to one stack and are always looking to the future, for example with Machine Learning capabilities (predictive analytics, LLM’s and traditional AI). The culture is relaxed and there’s no red tape. You will be … pages, not any design work. They are on to Angular 16/Angular Material but are quite happy to speak to those open to learning it, or transitioning from Vue/React/Svelte for example. The ideal candidate will have Azure DevOps experience and knowledge of Docker, Kubernetes more »

software planning, conducting thorough code reviews, and devising thorough test plans. The ideal candidate will collaborate closely with the MLOps team, tasked with deploying machine learning models on specialized systems like Nvidia Jetson. Key Responsibilities; * Lead the design, development, and implementation of software solutions, ensuring alignment with project … across Windows, Linux, and macOS platforms, addressing platform-specific nuances and optimizing user experience for each platform. * Collaborate with the MLOps team to deploy machine learning models on non- embedded systems, including Nvidia Jetson systems. Manage model deployment, monitoring, and optimization in production environments. Qualifications & Experience * Bachelor's … is a plus. * Knowledge of mobile app development frameworks and platforms (e.g., iOS SDK, Android SDK) is a plus. * Experience in MLOps, including deploying machine learning models on non-embedded systems such as Nvidia Jetson systems. If interested, and you match the criteria above, please apply with your more »

Machine Learning Engineer Bristol or remote Up to £65,000 Opportunity to establish the ML/AI function within an already successful revenue-generating business Gain exposure to a range of projects across audio, NLP and computer vision Significant career progression opportunities I'm looking for an ML … Engineer with experience building ML architecture and infrastructure and taking models into production. You'll be joining a well-established business with a 75% market share in their respective space and whose products are already used by hundreds of thousands of people across the UK. They're now looking to … line and develop new ones. Unsurprisingly, they're looking towards AI to help enhance their product offering and so they need to bolster the ML expertise within the business. This is a brand new role so you'll work closely with the CTO and Principal Engineer and enjoy a huge more »

platform. Your contributions will be instrumental in advancing the capabilities and performance of our cutting-edge technology. Job Description Develop high-performance kernels for machine learning operators on NPU architectures Optimize existing kernels to ensure maximum efficiency and performance Collaboratae with the hardware and software teams to integrate … Engineering, or related field Minimum of 5 years of experience in kernel development for NPUs, GPUs, or similar hardware accelerators from 3 ~ 5 years (ML, linear algebra) Proficiency in CUDA, OpenCL, or similar parallel programming languages Experience in SIMD/vector processing experience(RISC-V Vector) Strong software development skills … using standard development tools (e.g., Git, Jira, etc.) Basic understanding of machine learning frameworks (TensorFlow, PyTorch, etc.) Excellent problem-solving skills with a logical and analytical mindset Strong communication and interpersonal skills to collaborate effectively within a team environment Ability to work independently, manage multiple tasks, and thrive more »

Senior Software Engineer (ML) - £100,000 Title : Software Engineer Company : Deep Learning (HPC) Location : Hybrid (Cambridge) Salary : £100,000 Skills : Rust/C++, Deep Learning Overview : An elite, boutique start-up operating at the intersection of HPC and Deep Learning is paving the way for a new … between a Software Engineering and Machine Learning engineering role in a greenfield environment. About you : 4+ years in a Software Engineering/ML role Extensive performance optimisation Very strong C++ or Rust experience (bonus points for Rust) Exposure to GPUs Deep learning toolkit experience (E.g., TensorFlow, PyTorch more »

and platforms, with a focus on applying these technologies rather than developing them from scratch Experience in designing and prototyping solutions using AI/ML platforms Relevant programming languages subject matter expertise Excellent communication skills Strong leadership skills including mediation, negotiation, delegation, feedback and evaluation of staff Strong administration and … management skills Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services is a plus. Understanding of how to take requirements and separate them into development stories and tasks using various different approaches. Ability to research complex new topics, devise prototypes and propose technical designs. … exciting opportunity then please apply and we’ll get back to you as soon as we can. Applicants will be screened daily. Keywords: AI ML Artificial Intelligence Machine Learning Solutions Architect Deep Music DJ Integration Neural Network Natural Language Processing (NLP) Model more »

software development teams, and hands on development within a fast-paced, dynamic environment. This role will involve working with AI so an interest in learning Generative AI and Machine Learning is a must. As a result of their hard work, our client has received several award nominations … Previous experience leading the delivery of innovative products or software solutions Strong experience with agile ways of working Strong understanding of Generative AI and Machine Learning and a passion for keeping up with the latest revelations in tech This is a hybrid working opportunity out of their Leeds more »

implement AI solutions. Integrate AI with client data, APIs, and production systems. Conduct data analysis and build machine learning models. Utilize modern ML and AI libraries and frameworks. Deliver reliable solutions collaboratively. Desired Experience: Significant experience as an AI Consultant, Machine Learning Engineer, or similar role. … Proven track record in start-up or dynamic environments. Hands-on experience with cloud-based AI and ML solutions (e.g. Azure). Knowledge of generative AI applications and embedding models. Proficiency in MLOps and DevOps practices. Strong programming skills in Python and C#. Experience with Big Data technologies and ETL 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 … and fluent in SQL (any flavor) for analysis; Experienced in applying a broad range of data science techniques, including data manipulation, visualization, package development, machine learning algorithms, NLP, Shiny/Dash, deep learning, and reinforcement learning. Highly skilled in R package development, functional programming principles, documentation best more »

organization. We complement conventional engineering approaches to solving problems, by leveraging subject matter expertise and domain knowledge alongside simulation-driven design, data science and machine learning.Our mission is to make energy affordable and accessible to everyone - enabled by providing our clients with 5 key capabilities:1. Digital Advisory services … .· Proficient scripting in programming languages such as Java, Python, Scala· Expert in SQLMachine Learning· Good basic understanding of the main types of ML model with particular reference to the required data structures, formats and hygiene.· Au fair with how current machine learning tools and platforms (Python … IBM, Knime, Github, R, Spark, Weka, Amazon ML, Azure ML etc) integrate as part of the analytical ecosystem· Experience with the tools used to validate, monitor and deploy ML models (Tensorflow, ML Flow, AWS Studio, Docker, Kubernetes etc).Applied Analysis and Insight· Understand enterprise-wide business-processes, IT systems and more »

Establish consistent and automated local environments, DevOps practices and tools like Docker and Azure DevOps. Partner with data scientists and machine learning (ML) engineers to deploy ML models on Azure. What’s in it For You? Amazing company to work for! Hybrid working. Great culture and environment. For more »

plasma division and are aiming to expand partnerships with institutions in the US and Europe. Key research areas include developing new simulation capabilities, utilising machine learning for reactor design, and deploying uncertainty quantification tools. Candidates need a background in plasma physics or a closely related discipline, plus experience … in scientific computing and/or knowledge of machine learning. The roles may involve the opportunity for an extended secondment to a partner institution. Responsibilities: - Lead and contribute to new code development under the group leader's direction, conducting detailed code analysis and performance evaluations. - Conduct research into novel … managing the migration of codes to new computing architectures and evaluating their effectiveness. - Develop innovative techniques at the intersection of HPC and AI/ML for exascale computing, ensuring scalable training, deployment, and evaluation of machine learning models. - Collaborate with national and international partners to optimise codes for more »

s degree in Computer Science, Engineering, or a related field. Proven experience as a QA Engineer, ideally in a computer vision or AI/ML environment( but even if you studied it at uni that would be fine) Strong understanding of software QA methodologies, tools, and processes. Hands-on experience … as OpenCV, TensorRT, PyTorch, and CUDA. Knowledge of cloud platforms like AWS, GCP, or Azure. Experience with performance and load testing tools. Understanding of machine learning concepts and deployment pipelines. About the client Our client develops innovative AI platforms providing real-time visibility and control over vital transportation … assets. Harnessing state-of-the-art machine learning, our clients platform empowers warehouse operators with intelligent insights to optimize the utilization of trucks, trailers, chassis, containers, and personnel – the core operational assets of commerce. What’s it like to work for this Client? You will join an enthusiastic more »

field. At least 10 years of experience in AI research and development. Proven track record of published research in AI safety. Strong understanding of machine learning algorithms and data science. Experience with AI security testing and red-teaming. Excellent communication and leadership skills. Skills and Competencies: Deep knowledge … of AI and machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn. Proficiency in programming languages such as Python and R. Strong problem-solving skills and the ability to think critically and creatively. Ability to work collaboratively in a multidisciplinary team environment. Excellent project management skills, with … research and developments in AI safety. Ability to communicate complex technical concepts to non-technical stakeholders. Willingness to participate in conferences, workshops, and continuous learning opportunities. Competencies: Excellent communication skills. Good command of English. Positive attitude. Willingness to learn & work long term. Self-learning ability. Ability to meet more »

Location: Weymouth Benefits: Competitive salary, 25 Days Holiday, Hybrid Working Responsibilities: Manage and mentor a team of data analysts, fostering a culture of continuous learning to drive performance. Lead the formulation and execution of a comprehensive data strategy, encompassing service performance metrics, sales KPIs aligned with business objectives. Oversee … trends, opportunities, and areas for improvement within the sales function. Collaborate with cross-functional teams to develop and execute an AI strategy that leverages machine learning, natural language processing, computer vision, and other AI technologies to drive innovation and competitive advantage. Lead the application of advanced analytics techniques … such as predictive modelling, machine learning, and statistical analysis, to derive actionable insights from service performance metrics and sales KPIs. Design and develop intuitive and interactive dashboards, reports, and data visualisations using Power BI or similar tools, enabling stakeholders to gain insights and make informed decisions based on more »

data transformation, without the need for the crutch of Cloud Platforms at all times… Develop, enhance, and manage intricate data ingestion pipelines. Integrate advanced machine learning elements into data pipelines. Implement data quality metrics and dashboards for monitoring. Collaborate with data scientists, engineers, and cross-functional teams in … and processing. Ensure the efficiency, scalability, and dependability of data ingestion pipelines.Qualifications: Minimum 3 years of experience in developing data ingestion pipelines with advanced ML elements. Degree in Computer Science, Data Science, Engineering, or related field. Proficient in Python, SQL, PySpark, and Databricks. Experience with modern NLP techniques and tools. … data scientist or quantitative risk modeller. Degree in Computer Science, Engineering, Statistics, Mathematics, or a related field (advanced degrees preferred). Expertise in applied machine learning, probability, statistics, and quantitative risk modelling. High proficiency in Python and SQL, with experience in big data technologies (Databricks, PySpark). Experience more »

have exposure to modern data tools including Azure Databricks, Cosmos, and data integration technologies. Additional exposure to working with data science teams, and supporting machine learning activity would be highly valued. MAIN RESPONSIBILITIES Be the accountable person for Data as a Product at GRIDSERVE and own the product … Architect ensuring that the Product Roadmap aligns with the Data Platform Roadmap and evolution, influencing the product roadmap as new platform capabilities such as machine learning and artificial intelligence are introduced Develop the product catalogue, roadmap, backlog, and sprint planning while utilizing scrum, agile, and DevOps methodologies. Demonstrate … to non-Azure technologies and familiar with the strengths and weaknesses of a spectrum of BigData and Streaming technologies. Experience with Data Science and ML teams. Experience with the Azure cloud-based data frameworks Experience of cloud based data warehouses. Required qualifications and certifications Microsoft Dynamics Certifications or other relevant more »