1 to 25 of 91 Deep Learning Jobs in the UK

analysis, applying statistical techniques proficiently. Possess a strong grasp of applied statistics, including probability distributions and hypothesis testing. Exhibit proficiency in at least one deep learning technology, leveraging it for innovative solutions. Display expertise in specialized areas such as NLP, computer vision, operations research, data mining, ML, or more »

different countries, but from the very first day you join our team you'll know that your contributions are valued. We offer world class learning and career development opportunities, while we celebrate an inclusive culture. The role As a Lead Data Scientist (NLP & GenAI) at Allianz Commercial, you will … text data. Collaborate closely with data engineers to pre-process and clean text data, ensuring data quality and compatibility with NLP models. Apply machine learning and deep learning techniques to tasks such as text classification, named entity recognition, knowledge search, topic modelling and text generation. Build and … leveraging Azure Open AI and various foundational LLM's for Retrieval Augmented Generation (RAG) architecture including opensource would be desirable. Experience with graph machine learning (i.e., graph neural networks, graph data science) and practical applications thereof. This is complimented by your experience working with Knowledge Graph, creating ontologies leveraging more »

Seeking a Talent, Learning & Development Partner for a large complex organisation supporting the Digital & Technology business functions. The role will work with senior leadership to spearhead a dynamic learning strategy aligned with the business objectives and people plan. The role will assume responsibility for all talent and learning priorities to drive organisational performance across the business. Experience of operating a Learning Development Partner within with a Technology organisation or supporting Digital and Technology functions will be essential for the role. This will include: Utilising a commercial mindset and deep expertise within talent & learning to … identify and prioritise key needs in this space and work with senior business leaders to execute and implement talent & learning initiatives. Drive and communicate Learning strategy and plans, supporting the effective launch of new learning solutions, driving awareness and engagement, leveraging data and insights to share progress more »

MACHINE LEARNING ENGINEER NEW PERMANENT OPPORTUNITY AVAILABLE FOR A MACHINE LEARNING ENGINEER IN LONDON WITH SECURITY CLEARANCE Permanent opportunity for a Machine Learning Engineer Must hold SC or DV Clearance £40,000 to £75,000 plus bonus and benefits London based organisation in an accessible location To … apply please call 07704 152 640 or email WHO WE ARE? We are recruiting a permanent Machine Learning Engineer to work with a leading technology and engineering company that do excellent work across Defence and National Security sectors covering a range of exciting projects. Due to the nature of … our clients, you must hold Security Clearance. WHAT WILL THE MACHINE LEARNING ENGINEER BE DOING? As a Machine Learning Engineer, you will be working alongside our team on a wide variety of projects with a special focus on innovation. You could be working with all types of data more »

longer than 28 days consecutively in the past 5 years. Responsibilities : Collaborate closely with clients, leveraging your technical knowledge in areas such as machine learning, GenAI, computer vision, and data science to identify problems and design impactful solutions. Translate complex information into easy-to-understand presentations for clients, showcasing … conferences and events, sharing insights and building valuable connections within the industry. Your Skills and Experience : Strong technical knowledge in AI techniques, including machine learning, deep learning, NLP, and sentiment analysis. Proven experience in solution architecture and software engineering, with the ability to design and build scalable … winning work with private and public sector clients through various bid processes. Proficiency in data science platforms such as Databricks, Dataiku, AzureML, and machine learning frameworks like Keras, Tensorflow, and PyTorch. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and provisioning tools (e.g., Terraform). Strong track record of more »

and analytics to drive real business value? Our client, a leading IT Consultancy in the UK, is seeking an individual who can bring their deep technical expertise and thought leadership to lead their analytics capability to new heights. As a Senior Data Scientist/AI Engineer, you will have … the UK for longer than 28 days consecutively in the past 5 years. Responsibilities : Lead the large-scale delivery of AI techniques, including machine learning, GenAI, computer vision, and data science, to solve complex business problems. Engage with clients, presenting work in a compelling and easy-to-understand manner … Kubernetes, and CI/CD platforms. Your Skills and Experience : Proven track record of successfully delivering AI techniques, such as supervised and unsupervised machine learning, deep learning, graph data analytics, and more. Strong communication skills for effectively presenting complex information to clients and managing stakeholder relationships. Experience more »

the shaping of the data science framework in the Society this person will be responsible for coaching our team of data scientists and machine learning engineers in programming and data science tools, statistical and mathematical techniques. The person in post will lead complex projects and initiatives which drive strategic … provide ongoing coaching and oversight over the development of data products through an agile methodology. Youll have proven experience of developing and implementing Machine Learning algorithms from unstructured and structured large data sets as well as an in depth understanding of modelling techniques such as gradient boosted machines, deep learning, forecasting, optimisation, simulation and reinforced learning. Youll also have excellent knowledge of the development and productionisation of machine learning models with working knowledge and experience of cloud-based infrastructure. About us As a mutual, weve always worked together to improve the lives of others. Now one more »

Data Science Developer - Permanent - CFA Level 1 London90,000 - 120,000 per annumAs a Data Science Developer specialising in Machine Learning & Deep Learning, you will play a crucial role in our dynamic Portfolio Performance Analytics team. In this position, you will be at the forefront of leveraging … Private Credit, Liquid Credit, and Private Equity Fund of Funds products Investment Products.Key Responsibilities 1 Model Development and Enhancement: * Utilise your expertise in machine learning and deep learning to develop and refine quantitative models, such as credit risk models and alpha models, for risk assessment, portfolio optimisation … stakeholders to understand their goals and provide quantitative insights that align with overall business strategies. * Work with large datasets, utilising statistical methods and machine learning algorithms to extract meaningful insights that inform investment decisions. * Risk Management: * Contribute to a well-rounded approach to managing risks across our diverse alternative more »

to improve strategy performance. The candidate can expect exposure to a wide range of interesting and challenging problems involving financial market, statistical modelling, machine learning, deep learning, and computational finance. Required Core Competency Deep understanding of financial markets and market micro-structure Exceptional analytical and problem … and strong track record of using creativity to come up new HFT/MFT trading strategies Hands on knowledge in applying statistical and machine learning methods to financial data using Python/R Comfortable taking ownership of projects and responsibilities with minimum supervision At least a bachelors degree in more »

Site Name: London The Stanley Building Posted Date: Jun 5 2024 At GSK we see a world in which advanced applications of machine learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized treatments, driving … with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of machine learning and AI. If that excites you, we'd love to chat. The AI/ML RNA Therapeutics team applies machine learning and AI … track role with responsibility for direct reports. The candidate should be comfortable being accountable for setting the direction, standards and culture of a machine learning engineering sub-team, with demonstrable expertise across machine learning, software engineering and biology. Equally important will be excellent communication, interpersonal and organisational skills 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 »

solidified our commitment to leading the industry. Join us to be a part of the AI revolution! Job Description InstaDeep is looking for Machine Learning Engineers to join our Research Team in London, working at the intersection of machine learning and life sciences. Our in-house Research Team … aims to build foundational expertise and develops the next-generation in of deep learning technolgies for life science applications; for example, generative models for protein sequence and structure, protein structure prediction and inverse folding, ML-enhanced molecular dynamics, learning meaningul representations from proteomics datasets, and more. This … necessarily requires expertise not just in machine learning, but also in the curation of experimental data and computational modelling techniques such as homology modelling, molecular dynamics with classical force fields, quantum chemistry calculations with density functional theory. As a Machine Learning Engineer, you will work closely with 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 »

North America) 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 »

Machine Learning Engineer (optimization) Startup LLM up to £200k equity London Do you have experience with optimization and quantization for ML models on HPC clusters? Are you passionate about building groundbreaking technology and shaping the future of AI? Are you excited by the thought of starting a company from … in seed funding to kick us off and aim to go for Series A in early 2025 We re looking for an experienced Machine Learning Engineer that has implemented SOTA Research and quantization techniques to optimize ML pipelines to enable people to ship their models faster and more efficiently. … ML Pipelines. Here are some of things we d expect you to have: Experience in ML quantization, PEFT, DeepSpeed, ONNX, TensorRT etc Experience in Deep Learning using PyTorch Library Experience with Kubernetes Familiar with inference servers such as multi-LoRa, LoRA Exchange, TitanML etc Experience creating/managing 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 »

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 »

across tech and finance to help us achieve our aim. About the Role We seek an exceptional Senior AI Engineer with a strong machine learning and AI background to join our team. In addition to exceptional programming skills and knowledge of data structures and algorithms, the ideal candidate should … also be proficient in the mathematical underpinnings of deep learning and deeply understand modern AI techniques. As a Senior AI Engineer, you will be responsible for designing, developing, and implementing cutting-edge AI models. Responsibilities Work closely with the Director of AI research to design, develop, implement, and … train very large AI models. Build and maintain efficient, scalable, and reliable AI infrastructure, tools, and pipelines to support the deployment of machine learning models in collaboration with the MLOps team. Continuously research and stay current with the latest advancements in AI, machine learning, and data science. Contribute 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 »

to contribute fully to our purpose. Reporting to the VP of Research, you ll have the opportunity to work with state-of-the-art Deep Learning technology to develop creative solutions to exciting, challenging and industry-defined problems. How you ll make an impact: Take ownership of research … areas in computer vision, machine learning and biometrics with high degree of autonomy tackling new, as yet, unsolved industry problems Work with our developers to see the products of the research turned into production code Collaborate with the research team on best solutions Communicate research outcomes across the company … quo of the existing solutions You will work with a diverse team of AI and machine vision specialists, applying state-of-the-art Machine Learning and Deep Learning techniques to develop original solutions to world wide problems. We tend to look for people with: A Masters or more »

data scientists based in the UK branch. They are at the forefront of technical advancements and are looking to expand further into the LLM, deep learning, and AI space. Responsibilities: Be a leader, focusing on staying on top of the latest trends in the space such as AI … How to Apply: Register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: LLMs, NLP, Machine Learning, Artificial Intelligence more »

interim Head of Architecture to lead their technical efforts in the field of generative AI and Machine Learning. The ideal candidate will possess a deep understanding of advanced GenerativeAI architectures, frameworks, and algorithms, along with a proven track record of leading successful technical teams in the development of innovative … strategic leadership and guidance in the design and development of advanced GenAI architectures and solutions. Define and evolve the architecture of GenerativeAI and machine learning platforms, ensuring alignment with business objectives, scalability, and performance requirements. Stay abreast of the latest advancements in GenAI research and technology trends, and leverage … partners, to communicate technical vision, gather feedback, and drive alignment on strategic initiatives. Qualifications: Master's or Ph.D. in computer science, artificial intelligence, machine learning, or a related field. Experience in designing and implementing complex AI architectures, including deep learning, reinforcement learning, and other generative AI more »

with new and emerging PPC features and technologies to stay ahead of the curve and outperform competitors. 3. Analytics and Reporting: Advanced Analytics: Dive deep into analytics to understand user behavior and conversion patterns. Make data-driven decisions to refine targeting and bidding strategies. Performance Reporting: Develop regular reports … independently delivering successful end-to-end PPC campaigns, preferably in a user acquisition-based industry. Proven track record of achieving conversion-based KPI targets. Deep knowledge of data tools and confidence in deriving insights from data to assist in decision-making. Agile and ambitious, with the ability to work … by our products. We shape the future of our industry with world-class games, back-office and content management systems, hosting solutions, infrastructure, proprietary deep learning engine as well as a revolutionary user retention suite of products spanning 8 development centers across Romania, Cyprus, UK, Columbia and Malta. more »

Machine Learning Researcher (London visit the office 3 days a week) Xcede are delighted to be working with one of the most important ML Research Labs in the UK. The innovation hub sits within one of the world s largest tech & manufacturing brands The team are working on prototypes … a relevant field (Statistics, Computer Science, etc.) PhD background strongly preferred (alongside further post-doc research) Excellent knowledge in a range of statistical, machine learning, and deep learning-based methodologies (classification, regression, etc. through to RNNs, signal processing, etc.) Ability to communicate complicated and often hugely technical more »

Salary: £50,000 - £70,000 We're looking for Research Engineers to work with a leading AI company renowned for its groundbreaking work in deep learning and Generative AI, particularly in healthcare and retail. About the Opportunity Join a team of top-tier Deep Learning experts … This company boasts a stellar research reputation, with numerous publications at prestigious conferences. As a Research Engineer, you'll collaborate globally to tackle complex deep learning challenges, focusing on graph neural networks and pioneering new foundation models in healthcare. The Impact Your research will directly contribute to real … world applications with a profound social impact in Healthcare, already benefiting millions of lives. Key Responsibilities Develop state-of-the-art deep learning and generative models. Write high-quality, production-ready code. Leverage your experience in deep learning from both industry and academic settings. Benefits Private more »