1 to 25 of 59 Deep Learning Jobs in the UK excluding London

/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 »

multiple disciplines. Strong written and verbal communication skills. Desirable: Experience with hybrid on-premise/cloud-computing implementation and integrations. Experience with AI and Deep Learning technologies, particularly for Computer Vision. Experience with Data Analytics. Domain knowledge in Physical Security such as Video Surveillance and Access Control. Experience 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 »

Develop and deploy machine learning models and algorithms to solve complex business problems and optimize processes.Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to understand requirements, gather data, and define project goals. Conduct exploratory data analysis, preprocess and clean data, and perform feature engineering … to extract relevant information for model training.Select appropriate machine learning algorithms and techniques, and develop models that are accurate, robust, and scalable.Train and fine-tune machine learning models using large-scale datasets, and optimize model performance through techniques such as hyperparameter tuning. Evaluate and validate models using appropriate … metrics and statistical methods, and iteratively refine models based on feedback and insights.Deploy machine learning models into production environments, ensuring scalability, reliability, and efficiency.Collaborate with software engineers to integrate machine learning models into software systems and develop APIs for model inference. Continuously monitor and evaluate model performance and more »

track record as a senior/self-starting AI engineer in designing and developing solutions for large scale organisations. We are seeking someone with deep technical skills in a variety of technologies, to play an important role in developing and delivering early proofs of concept and production implementation. You … 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 cases more »

track record as a senior/self-starting AI engineer in designing and developing solutions for large scale organisations. We are seeking someone with deep technical skills in a variety of technologies, to play an important role in developing and delivering early proofs of concept and production implementation. You … 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 cases more »

track record as a senior/self-starting AI engineer in designing and developing solutions for large scale organisations. We are seeking someone with deep technical skills in a variety of technologies, to play an important role in developing and delivering early proofs of concept and production implementation. You … 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 cases more »

track record as a senior/self-starting AI engineer in designing and developing solutions for large scale organisations. We are seeking someone with deep technical skills in a variety of technologies, to play an important role in developing and delivering early proofs of concept and production implementation. You … 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 cases more »

Exciting opportunity for a Machine Learning Manager to join an innovative start up who are developing a first of its kind medical device. They are looking for an experience Machine Learning engineer who has lead teams in developing timeseries models and dealing with numerical data. Responsibilities: Implement machine … learning strategies for medical devices, focusing on model development, deployment, and data collection. Guide a team of data analysts and machine learning specialists to ensure the successful execution of AI projects. Collaborate with biomedical engineers, product designers, and other stakeholders to integrate machine learning techniques into medical … predict device-user interactions in the medical device domain. Design and conduct experiments and validation protocols to ensure the accuracy and reliability of machine learning models for medical devices. Ensure compliance with relevant regulatory guidelines and adhere to industry standards and best practices in medical device innovation. Stay updated 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 »

order book, we are looking for 2 graduates in the above disciplines join our team and help drive the adoption of machine vision and deep learning in the manufacturing industry. We are looking for people who have a passion in this area. You will be part of the … you will be able to influence your future development and enjoy Staying up-to-date on industry trends and advances in machine vision and deep learning technology to identify new opportunities for our clients. What will you be doing? You’ll provide creativity and problem-solving skills to 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 »

and deployed. Initially our focus is small scale production. You will be highly proficient in coding in Python and have proven experience in machine learning/deep learning. You’ll have the skills to build scalable ML applications by yourself and deploy these applications in the cloud as … a hybrid working arrangement. What we are looking for: Approx. 3+ years industry experience in software engineering Solid software design principles Understanding of machine learning Knowledge of common software engineering best practices e.g. test-driven development, version control, CI/CD, containerisation Strong Python skills, including production-level experience … Some knowledge of AI and machine learning, with a focus on Generative AI and Large Language Models (LLMs). Experience implementing microservice architectures Experience with at least one common cloud provider (AWS, GCP, Azure) Desirable: Experience in AI-focused software development, especially with LLMs. Comfortable working with classic ML 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 »

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 »

within an industry setting. Possess a strong foundational knowledge of AI, ML, and data science principles, including signal/pattern recognition, classification techniques, and deep neural network training. Have practical experience with various Data Science and ML frameworks or tools. Excellent verbal and written communication skills Proficient in using … MS Office suite (Excel, PowerPoint & Word). Desirable: Familiarity tools related to machine learning operations. Experience with AWS Knowledge of Reinforcement Learning techniques. Unfortunately sponsorship is not provided for this role If you are interested please apply here or reach out to Morgan.beck@xcede.com more »

An intriguing opportunity for a Machine Learning Processor Architect with an early-stage start-up developing a unique new processor technology. Our client has offices in London and Oxford, however remote working is also possible. Here the Machine Learning Processor Architect will join as one of the early … and drive new architectural features for next generation hardware, and evaluate performance of cutting-edge AI workloads. The right candidate: This role of Machine Learning Processor Architect requires someone that understands the ins and outs of computer architecture, and the nuances of what it takes to optimise and trade … off various aspects of hardware-software co-design. Past experience working on performance architecture of GPUs/AI Accelerators is required, with experience with deep learning frameworks (such as PyTorch, Tensorflow). Our client is open to considering candidates at various levels of experience, provided they have the 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 »

Machine Learning Quantitative Researcher A market-leading global hedge fund is looking for a Machine Learning Quantitative Researcher to join their renowned team. Having full ownership of greenfield projects focused on generating PnL with machine learning through the application of ML algorithms in sophisticated coding solutions. Work … at the forefront of the implementation of deep learning in the trading space with immediate returns on your cutting-edge research-driven hypotheses. This is a unique opportunity in a collaborative and entrepreneurial environment with great opportunities for career progression. Responsibilities: Apply the rigorous scientific method and methods … such as NLP, neural networks and deep learning to develop sophisticated trading models across multiple asset classes that inform highly profitable trading strategies. Work with an elite group of software and data engineers developing and evolving market-leading research toolkits and data pipelining. Remain connected to the broader 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 »

Lead Machine Learning Engineer - Full Time On behalf of our Biotech client, we are recruiting for a Lead Machine Learning Engineer. This position has come live due to company growth and the client is looking for a highly technical Machine Learning expert to join them who have … experience with the following... Proven Leadership experience in a highly technical environment Extensive Python experience skilled with deep learning frameworks (e.g PyTorch and TensorFlow) Excellent problem solving, analytical and communication skills. Experienced with MLOps tooling Strong knowledge with Computer vision models Bachelors, Masters or PhD program in Computer more »

is a must, PhD is a plus). More than 7+ years of experience as Solution Architect or Lead Developer for complex software products. Deep understanding of architecture and engineering principles, design patterns, and other best practices. Experience in working with larger and/or distributed teams, including technical … graph databases (e.g., neo4j) is a plus. Experience in logic programing, information retrieval and/or natural language processing is a plus Experience 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 more »

AI/Python/Data scientist/Machine Learning Engineer/Neural Networks/Deep Learning/LLMs Role: Lead Data Scientist Location: Remote - Occasional Meetings in London (Client) Company: AI Analytics Start-Up Salary: up to £130,000 + Bonus Projects: Neural Networks, NLP, Machine Learning, Deep Learning Responsibilities Analyse raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Lead a small team of data scientist on Neural Networks LLMs (CNN … RNN), ML, & NLP NLP/AI/ML/Spark/Python/Data scientist/Machine Learning Engineer/OCR/Deep Learning Requirements Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) Experience with applied Neural Networks (CNN & RNN more »

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 »

Machine Learning Researcher We are partnered with a multi-billion hedge fund, with an active hiring mandate for ML Researchers. This opportunity involves architecting state-of-the-art ML solutions, generating novel algorithmic architecture and applying the latest deep learning techniques to quantitative trade research. Joining a … leading computing tools to apply and build ML models from the ground up, utilizing new and established techniques and methods like neural networks, reinforcement learning, deep learning, and natural language processing. Remain connected to the broader research community, staying on top of the latest research and publications … proof of concept solutions, running experiments, developing techniques and writing high-quality code to support the research output. Requirements: PhD or masters in machine learning, computer science or related field. Proven track record of peer-reviewed publications. Strong programming skills and experience working with Python and Pandas, Numpy, scikit more »