1 to 25 of 26 Deep Learning Jobs in the UK excluding London

Ivy Farm - Data Scientist (Statistics and Machine Learning) At Ivy Farm our mission is to create the world’s best guilt free and sustainable meat, it’s cultivated meat, just like real meat, only made differently - and were super excited by it. Were a humble community of 40+ technical … numbers - it's the key to unlocking ground breaking discoveries! Picture yourself at the forefront of innovation, harnessing the power of cutting-edge machine learning technologies to decode the mysteries hidden within cell culture experiments. You'll be building advanced ML models that seamlessly integrate internal and external data … re looking for a dynamic Data Scientist who will work alongside our R&D team to apply cutting-edge computation, data-driven methods, Machine Learning/Deep Learning approaches to accelerate our cell-cultivated meat programs by contributing to improving the design and engineering of novel mammalian 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 … academic in its nature, you will be applying the latest possible research to your work, bridging the gap 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 etc.,) Eager to work on Greenfield projects This is a rare opportunity to work on greenfield projects at such a high-performing level. Even if you just curious to learn more, you more »

The Machine Learning Engineer will help develop/deploy AI-powered products as we embark on a journey to build a new AI-powered sales advisor. This is a mid level role, requiring at least 2-3 years of experience in relevant roles, and an academic background in computing … responsible for Development of a Conversational Recommendation System which utilises Large Language Models (LLMs) and other NLP technologies Deploying scalable and cost effective machine learning systems Evolving and maintaining our machine learning stack Monitoring and analysing deployed models for performance and costs Making effective use of cloud infrastructure … in our ML stack Skills and experience Familiar with the Python-based data science tech stack Python Docker & Kubernetes AWS Cloud Deep learning frameworks - Pytorch and Tensorflow HuggingFace ecosystem [optional] Other machine learning frameworks - scikit-learn, XGboost, CatBoost etc Ability to understand and develop state-of-the more »

ECOM are partnered with an exciting software development company based in Manchester who are looking for a Senior Machine Learning Engineer. You will join an innovative technology company at the forefront of machine learning and artificial intelligence solutions. As a Senior Machine Learning Engineer, you'll be … part of a dynamic team dedicated to pushing the boundaries of AI technology and creating impactful solutions. Role Overview: Seeking a talented Senior Machine Learning Engineer to lead the development and implementation of advanced machine learning models and algorithms. As a key member of our team, you will … work on challenging projects, leveraging your expertise in machine learning to drive innovation and solve complex problems. Responsibilities: - Design, develop, and deploy machine learning models and algorithms to address business challenges and opportunities. - Collaborate with cross-functional teams, including software engineers and data scientists, to integrate machine learning more »

Machine Learning Engineer, South Cambridge - £60k - £85k + Superb benefits. Cutting Edge R&D We have a fantastic new opportunity for a Machine Learning Engineer to join a state-of-the-art R&D company based in South Cambridgeshire. You will be working across an exciting range of … join the friendly and supportive R&D group, developing technology that makes a difference and has real-world impact. You'll use your Machine learning to develop systems that apply ML to a broad range of tasks. The projects will test your broad exposure to the ML development cycle … cleaning and preparation, rapid code prototyping, iterating model designs and deploying and packaging code into brand new products. This role would suit a Machine Learning innovator, someone looking to push forward what is possible with ML and see their concepts develop into real world solutions and tangible cutting-edge more »

Machine Learning Engineer - Facial Animation | Up to £80K depending on Seniority About Us I am representing a company at the forefront of computer facial animation, specializing in a breakthrough technology: automatic and accurate lip syncing. They are looking for new engineers to add to their team who specialise in … speech recognition. The Role I am seeking a talented Machine Learning Engineer to join our team and play a vital role in pushing the boundaries of facial animation. You will be instrumental in developing and improving the industry-leading automatic lip-syncing technology, ensuring it delivers the highest quality … facial animation on the first pass. Responsibilities: Develop, optimize, and implement machine learning models for automatic lip syncing from audio data. Collaborate with engineers and researchers to integrate machine learning models into our existing facial animation pipeline (SGX). Conduct research to explore new techniques and advancements in more »

our dynamic Data team and benefit from talking shop with our other data roles including; Data Scientists, Data Engineers, Analytics Engineers and our Machine Learning Engineer. The person we’re looking for A strong foundation in machine learning theory and practical experience, particularly in NLP, is essential for … are also looking to push the performance boundaries of our new product as far as possible, so experience and knowledge on techniques like reinforcement learning and domain-specific knowledge in sales will be invaluable. Your responsibilities will include ensuring that our development adheres to industry best practices and integrates … state-of-the-art techniques to tackle complex challenges with innovative solutions. You’ll be responsible for Develop, train and deploy machine learning and AI models, particularly focussing on NLP and language understanding tasks. Work extensively with PyTorch and other machine learning frameworks to build and iterate on more »

/CD and data pipelines. Participate in enterprise-wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. Conduct security risk assessments and threat modeling for AI/ML and other business projects performed thorough design reviews and security … the ML and AI initiatives. Key Skills Required: Solid understanding as a Security Architect, with a focus on AI/ML security, demonstrating a deep understanding of AI technologies, algorithms, models, and frameworks. Knowledge of security principles, best practices, and standards within the context of AI/ML systems. … commonly used in AI/ML, such as Python, R, C, C++, or Java, and their associated security considerations. Previous experience with ML, LLM, deep learning and data manipulation techniques, libraries, and frameworks such as TensorFlow, PyTorch, Jax, and scikit-learn is desirable. Experience in implementing secure coding more »

/CD and data pipelines. Participate in enterprise-wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. Conduct security risk assessments and threat modeling for AI/ML and other business projects performed thorough design reviews and security … the ML and AI initiatives. Key Skills Required: Solid understanding as a Security Architect, with a focus on AI/ML security, demonstrating a deep understanding of AI technologies, algorithms, models, and frameworks. Knowledge of security principles, best practices, and standards within the context of AI/ML systems. … commonly used in AI/ML, such as Python, R, C, C++, or Java, and their associated security considerations. Previous experience with ML, LLM, deep learning and data manipulation techniques, libraries, and frameworks such as TensorFlow, PyTorch, Jax, and scikit-learn is desirable. Experience in implementing secure coding more »

Excellent Salaries + Commission + Benefits Central Manchester or Remote Areas: Artificial Intelligence, NLP, Data, Computer Vision, Recommender Systems, LLM's, Quantum Computing, Machine Learning, Deep Learning ‍ We are a leading recruitment agency with an established AI department that has been running for over 7 years. Our more »

Employer” as part of the Top Employer Institute annual listings. We were assessed on several key HR practices including Diversity and Inclusion. Role : Machine Learning engineer Key Responsibilities Work with our customers and focus on our AWS Analytics and ML service offerings such Amazon Kinesis, AWS Glue, Amazon Redshift … used by our customers. Work closely with our Solution Architects, Data Scientists and Service Engineering teams Experience with design, development and operations that leverages deep knowledge in the use of services like Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon EMR, NoSQL technologies and other 3rd parties Develop …/Kafka/Spark/Storm implementations Experience with analytic solutions applied to the Marketing or Risk needs of enterprises Basic understanding of machine learning fundamentals Ability to take Machine Learning models and implement them as part of data pipeline IT platform implementation experience Experience with one or more »

role You must have the right to work in the UK. What Will I be Doing? Join the graduate program to undertake two years learning and development to focus on; understanding the wider team & business functions while specialising in a technical engineering (systems) role. Pursue professional development with a … and qualifications to move into an engineering role within the Systems Team Be an integral part of the team developing process models Develop AI learning techniques Implementation of AI machine learning and deep learning into process models Prioritise improvement actions based on business requirements Learn business more »

and passionate person wanting to work in a progressive business intelligence and data science environment. You will take a key role in identifying machine learning and AI approaches to meet business needs. Do you have experience leading the delivery of innovative data science methodologies to meet business needs? Delivering … Main duties of the job Working within a small friendly team, you will oversee a variety of data science related tasks including developing machine learning/AI approaches and leading the development of data frameworks and analysis of data to ensure accuracy of sources and data resilience to support … working with the Assistant Director for Evaluation Business Intelligence and Impact taking a leading role communicating highly complex and sensitive information relating to machine learning, and AI developments in line with new national initiatives. Identify and understand business needs, prioritise, and design analytical tools and processes to meet those more »

Science is pivotal to this mission. As a Senior Data Scientist you will take a leading role in researching, building, deploying and monitoring machine learning (ML) models, in close collaboration with cross-functional teams. Your efforts will support our clients through enhanced decision-making and automation, utilising our developing … rent payment fluctuations. How can we cluster repair jobs to provide root cause insights and next best actions. Building recommendation systems, including testing reinforcement learning approaches, to support optimised rent collection Taking labelled data and supervised learning approaches, to generate optimal contact strategies for multi-channel tenant engagement … folks to work with - though we would say that! What qualifications and experience are we after? Ideally a Masters degree in Data Science, Machine Learning, Artificial Intelligence, or similarly related and quantitative discipline. Merit and above would be great. Circa 5+ years of serious commercial experience working on a more »

who will positively shape our future.What are the day-to-day tasks?Design and develop AI models and solutions using Azure OpenAI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements and performance … with business analysts, scientists, and IT teams to integrate AI solutions into existing systems and work flows Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings. Provide expertise and guidance on AI best practices, contributing to the … and delegates tasksWhat skills and knowledge are we looking for?Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles.Experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks more »

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 home devices … 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 practices more »

or graph databases (e.g., neo4j) is a plus. Experience in logic programing, information retrieval and/or natural language processing is a plusExperience in deep learning and language transformer models (e.g., GPT, BERT, etc.) is a plus. Experience in OpenAI, Docusign, Guidewire or Salesforce are a plus.About AXAAs more »

working, flexible working, option to buy/sell holiday Personal Development: Personalised development plan, Airbus Leadership University and unlimited access to 10,000+ E-learning courses, internal mobility including international opportunities Health & Wellbeing: Bupa health insurance (including assisted fertility treatments and gender dysphoria and reassignment support), wellbeing benefits (including … similar language Experience in developing, deploying and industrialising, scalable ML/AI solutions in production Proficiency in Docker, Kubernetes, and AWS services Experience using Deep Learning frameworks like Tensorflow, Jax, and/or Pytorch Proven experience in either NLP, Computer Vision, Anomaly Detection or Hybrid Modeling Not a more »

About the role At AXA, we're transforming the customer “insurance claim” journey by deploying machine learning models so that we get faster and improved decision making at key interaction points. This role is essential to the Advanced Claims Analytics programme that is driving this change. Specifically, this programme … the customers claims journey. This is an exciting time to join as you will leverage our cloud-based data lake, design our advanced machine learning and influence the business in respect to its understanding and use of data. At AXA we work smart, empowering our people to balance their … Scope out the business problem and proving value via Exploratory Data Analysis to demonstrate the value of an ML approach. Create and productionise machine learning models using python, ML libraries, and Databricks. Process large scale data from our data lakehouse. Apply MLOps, AutoML, model explainability best practices. Present the more »

About the role At AXA, we're transforming the customer “insurance claim” journey by deploying machine learning models so that we get faster and improved decision making at key interaction points. This role is essential to the Advanced Claims Analytics programme that is driving this change. Specifically, this programme … the customers claims journey. This is an exciting time to join as you will leverage our cloud-based data lake, design our advanced machine learning and influence the business in respect to its understanding and use of data. At AXA we work smart, empowering our people to balance their … Scope out the business problem and proving value via Exploratory Data Analysis to demonstrate the value of an ML approach. Create and productionise machine learning models using python, ML libraries, and Databricks. Process large scale data from our data lakehouse. Apply MLOps, AutoML, model explainability best practices. Present the more »

adaptable and able to demonstrate that you have: A PhD or similar Post-Graduate qualification in a relevant field Experience with one or more Deep Learning framework (PyTorch preferred) for Graph-based AI High proficiency in one or more programming languages (Python preferred) A track record of writing … academic publications Excellent written and verbal communication skills The following skills are desirable: -Large scale/parallel computing -Multi-modal or explainable machine learning methods -Working with knowledge graphs and graph databases Achieve together We want the best people on our team, so we welcome and encourage applications from more »

Ops. Our Data Engineers will focus on robust delivery of reliable, high-quality data, which our Data Scientists will use to power their machine learning products. We are looking for high-performing, passionate people to help create and deliver this new approach. Diversity is essential to great data teams … Data Lakes, Batch/Streaming); Cloud technologies and principles (e.g., Kubernetes, EMR, S3) Understanding of ML principles (e.g., feature engineering, training/testing, hyperparameters, deep learning, model management) Agile mindset and experience with JIRA and Confluence Experience with Marketing technology (e.g., Adobe) What you’ll get for this more »

and structure-from-motion/SLAM · Experience with robotics, high-performance real-time computer vision applications · Motion capture and human modelling · Experience of using deep learning for computer vision problems · Experience of other sensing modalities such as IMU more »

track the trees that they plant and ensure the local farmers are paid fairly via their sales platform, which is decentralised. The product includes deep learning AI models and runs in a hybrid cloud environment, predominantly in Azure but also with some AWS features. Seeking a hands-on more »

on data standardization, data contextualization, Unified name spacing, and data consolidation for IIoT implementations. Must have good understanding and exposure around AI and Latest Deep learning models around Predictive and preventive Asset Maintenance/monitoring in OT space specifically for utility area. Experience in deployment of security controls more »