426 to 450 of 1,158 Deep Learning Jobs in the UK

Entelo Bio is redefining the boundaries of precision medicine. Harnessing advanced machine learning and proprietary single-cell sequencing technologies, we’re pioneering a new era of therapeutic discovery beyond traditional gene expression analysis. Our revolutionary platform is transforming target discovery to develop medicines for millions of patients with unmet clinical needs. We are venture financed by global investors and … supported by experienced company builders. The Opportunity We seek a Founding Machine Learning Engineer to join our computational team and lead the development of cutting-edge deep learning systems tailored for a novel type of single-cell sequencing data. This role offers the chance to make a direct impact by designing scalable solutions, conducting advanced research, and … of AI in precision medicine. As an early team member, you will be critical in building the company’s computational foundation and driving scientific discovery. Responsibilities Conduct advanced machine learning research, contributing to developing novel model architectures and new approaches for single-cell data analysis. Build scalable ML data pipelines, ensuring efficient pre-processing, training, and inference for large More ❯

About Us We are a VC-backed startup focused on behavioural AI, currently in stealth. We are building for retail with a focus on Recommendation Systems, Reinforcement Learning and Generative AI. Our platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to build products that … customers love by harnessing cutting-edge AI to transform their shopping experience. About the Job We are looking for a Senior Data Scientist with experience in bringing advanced machine learning and data science systems to production to work with our team of industry leading domain experts and engineers. You'll be working across our entire data science stack, from … advanced recommender systems to comprehensive performance analytics. Key Responsibilities: Design and implement scalable machine learning for complex data analysis, optimised recommendations, and predictive modelling. Translate the latest advances in machine learning into impactful solutions and products, from rapid MVPs to fully deployed, production-ready systems. Bring your models to production and optimise for inference in edge computing environments. More ❯

About Us We are a VC-backed startup focused on behavioural AI, currently in stealth. We are building for retail with a focus on Recommendation Systems, Reinforcement Learning and Generative AI. Our platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to build products that … customers love by harnessing cutting-edge AI to transform their shopping experience. About the Job We are looking for a Senior Data Scientist with experience in bringing advanced machine learning and data science systems to production to work with our team of industry leading domain experts and engineers. You'll be working across our entire data science stack, from … advanced recommender systems to comprehensive performance analytics. Key Responsibilities: Design and implement scalable machine learning for complex data analysis, optimised recommendations, and predictive modelling. Translate the latest advances in machine learning into impactful solutions and products, from rapid MVPs to fully deployed, production-ready systems. Bring your models to production and optimise for inference in edge computing environments. More ❯

for applying generative AI in early-stage drug discovery, collaborating with cross-functional teams across biology, chemistry, and data science. Stay current with the latest research in computer vision, deep learning, representation learning, and multi-modal data integration. Communicate findings through reports, presentations, and scientific publications to both internal and external stakeholders. Build and maintain collaborations with … vision tasks. Strong publication record in top-tier ML/CV conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML). Proven expertise in multi-modal data integration and representation learning, ideally applied to biological or pharmaceutical problems. Advanced programming skills in Python, with SME knowledge of deep learning frameworks in PyTorch, Hugging Face, or PyTorch Lightning. Proficiency … in modern software development practices: version control (Git), continuous integration, testing, and Python packaging (e.g., uv). Subject matter expertise in foundation models, self-supervised learning, and vision transformers. Plusses: Experience with high-content screening, high-throughput data , or single-cell RNA sequencing. Familiarity with cloud computing platforms (e.g., AWS, Azure, Nvidia DGX Cloud) for large-scale model training More ❯

Eloquent AI, you will be at the forefront of building, deploying, and optimizing enterprise-grade AI agents that handle high-stakes conversations. You’ll work directly with software engineers, deep learning experts and AI researchers to design intelligent agents that understand, take action, and deliver real business impact. This role requires a mix of software development, AI integration … role is for you. You will: Build, deploy, and optimize AI agents that engage in enterprise-grade conversations. Design & develop next-gen multimodal LLM architectures (LLMs, speech, vision, reinforcement learning) Explore optimal trade-offs between model quality and efficiency when translating research into practical solutions Refine training paradigms for real-world applications Integrate AI agents with enterprise systems via … experiment, and iterate quickly to improve AI agents. Strong problem-solving skills and the ability to work closely with customers to refine AI solutions. Solid mathematical foundation of machine learning and deep learning techniques Bonus Points If... You have experience with prompt engineering, parameter-efficient fine-tuning (PEFT), retrieval-augmented generation (RAG), reinforcement learning for LLMs. More ❯

engaging pursuit. Program Highlights Mentorship: Collaborate with experienced researchers and engineers on innovative AI projects Research Focus: Engage in areas such as large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models Professional Development: Gain hands-on experience in AI research with real-world applications, contributing to both academic publications and product … leading universities and contribute to the broader scientific community Work Arrangement: Benefit from a hybrid work model, combining remote and on-site collaboration Responsibilities Conduct innovative research in machine learning and artificial intelligence Develop and implement algorithms Collaborate with cross-functional teams to integrate AI solutions Publish research findings in top-tier conferences and journals Stay up to date … with the latest advancements in AI and related fields Qualifications Required: PhD in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field Proficiency in programming languages such as Python, C++, or similar Strong problem-solving skills and the ability to work both independently and collaboratively Excellent communication skills, with the ability to present complex ideas clearly More ❯

engaging pursuit. Program Highlights Mentorship: Collaborate with experienced researchers and engineers on innovative AI projects Research Focus: Engage in areas such as large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models Professional Development: Gain hands-on experience in AI research with real-world applications, contributing to both academic publications and product … leading universities and contribute to the broader scientific community Work Arrangement: Benefit from a hybrid work model, combining remote and on-site collaboration Responsibilities Conduct innovative research in machine learning and artificial intelligence Develop and implement algorithms Collaborate with cross-functional teams to integrate AI solutions Publish research findings in top-tier conferences and journals Stay up to date … with the latest advancements in AI and related fields Qualifications Required: PhD in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field Proficiency in programming languages such as Python, C++, or similar Strong problem-solving skills and the ability to work both independently and collaboratively Excellent communication skills, with the ability to present complex ideas clearly More ❯

looking for an agile Lead Data Scientist who can contribute to all stages of our data science client projects. This means that as well as developing cutting-edge machine learning solutions, we are looking for someone who can also design data science solutions from scratch and present their team's work in an engaging and informative manner. If you … Build strong client relationships and lead project centred client interactions Oversee the delivery of high-quality code and successful project outcomes Train and deploy state-of-the-art machine learning and reinforcement learning models Build AI systems using Large Language Models Build processes for extracting, cleaning and transforming data (SQL/Python) Ad-hoc data mining for insights … project management and risks Experience of completing code reviews in Python and SQL through Git, and applying other best practices to technical projects Experience and understanding of applied machine learning techniques in Python (e.g. xgboost, regression, decision trees) Practical knowledge and experience of developing AI solutions using advanced machine learning techniques (e.g. reinforcement learning, deep learning More ❯

digital transformation About Us We are a VC-backed startup focused on behavioural AI, currently in stealth. We are building for retail with a focus on Recommendation Systems, Reinforcement Learning and Generative AI. Our platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to build … customers love by harnessing cutting-edge AI to transform their shopping experience. About the Job We are looking for a Senior Data Scientist with experience in bringing advanced machine learning and data science systems to production to work with our team of industry leading domain experts and engineers. You'll be working across our entire data science stack, from … advanced recommender systems to comprehensive performance analytics. Key Responsibilities: Design and implement scalable machine learning for complex data analysis, optimised recommendations, and predictive modelling. Translate the latest advances in machine learning into impactful solutions and products, from rapid MVPs to fully deployed, production-ready systems. Bring your models to production and optimise for inference in edge computing environments. More ❯

As a Computer Vision and Machine Learning Engineer, you will: Explore and experiment with emerging technologies to continuously improve our AI-driven content reconstruction, creation and edition processes. Review the state of the art computer vision research papers and develop prototype solutions. Develop cutting-edge software and algorithms for computer vision, image processing and deep learning models … Fields (NERF) or Gaussian Splatting techniques. Desirable Skills Demonstrated experience in: Generative AI, including hands-on implementation of state-of-the-art models. 3-D vision Developing with machine learning frameworks – Tensorflow/Pytorch Model optimization and knowledge distillation. Strong fundamentals in machine learning, NLP and Computer Vision Publications in top ML/AI conferences/journals (e.g. More ❯

An ambitious, deep-tech organisation at the forefront of biotechnology and artificial intelligence is seeking a visionary Head of AI to lead the development of next-generation biological foundation models. Underpinned by the world’s most comprehensive and ethically sourced database of natural biodiversity, our platform enables cutting-edge research and discovery across academia and industry. Following a successful … partnerships with global technology leaders, and build on an exceptional data infrastructure that is entirely new to science. Key responsibilities Lead and manage a team of AI and machine learning researchers/engineers, providing technical direction and fostering a culture of creativity and rigour Design and implement novel AI/ML models and algorithms, balancing exploratory research with robust … team Shape and execute a long-term AI strategy rooted in novel biological data and real-world application Essential A postgraduate degree (PhD or MSc) in Computer Science, Machine Learning, Computational Biology or a related field At least 5 years of industry experience in AI/ML research or engineering, with a minimum of 4 years in a technical More ❯

An ambitious, deep-tech organisation at the forefront of biotechnology and artificial intelligence is seeking a visionary Head of AI to lead the development of next-generation biological foundation models. Underpinned by the world’s most comprehensive and ethically sourced database of natural biodiversity, our platform enables cutting-edge research and discovery across academia and industry. Following a successful … partnerships with global technology leaders, and build on an exceptional data infrastructure that is entirely new to science. Key responsibilities Lead and manage a team of AI and machine learning researchers/engineers, providing technical direction and fostering a culture of creativity and rigour Design and implement novel AI/ML models and algorithms, balancing exploratory research with robust … team Shape and execute a long-term AI strategy rooted in novel biological data and real-world application Essential A postgraduate degree (PhD or MSc) in Computer Science, Machine Learning, Computational Biology or a related field At least 5 years of industry experience in AI/ML research or engineering, with a minimum of 4 years in a technical More ❯

have a background in generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling. Responsibilities Design methods, tools, and infrastructure to push forward the state of the art … large language models. Define research goals informed by practical engineering concerns. Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU). Work with a large and globally distributed team. Contribute to publications and open-sourcing … efforts. Minimum Qualifications Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Research experience in machine learning, deep learning, and/or natural language processing. Experience with developing machine learning models at scale from inception to business impact. Programming experience in Python and hands-on experience with frameworks such as More ❯

An ambitious, deep-tech organisation at the forefront of biotechnology and artificial intelligence is seeking a visionary Head of AI to lead the development of next-generation biological foundation models. Underpinned by the world’s most comprehensive and ethically sourced database of natural biodiversity, our platform enables cutting-edge research and discovery across academia and industry. Following a successful … partnerships with global technology leaders, and build on an exceptional data infrastructure that is entirely new to science. Key responsibilities Lead and manage a team of AI and machine learning researchers/engineers, providing technical direction and fostering a culture of creativity and rigour Design and implement novel AI/ML models and algorithms, balancing exploratory research with robust … team Shape and execute a long-term AI strategy rooted in novel biological data and real-world application Essential A postgraduate degree (PhD or MSc) in Computer Science, Machine Learning, Computational Biology or a related field At least 5 years of industry experience in AI/ML research or engineering, with a minimum of 4 years in a technical More ❯

analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models More ❯

a highly skilled and motivated Data Scientist to contribute to transformative initiatives within the healthcare industry. The ideal candidate will possess a strong background in developing and optimizing machine learning models, specifically within healthcare contexts. We are looking for a results-oriented individual proficient in training and fine-tuning models, building robust, production-ready model inference pipelines, and conducting … exploratory data analysis and data enrichment. Key Responsibilities: Train, fine-tune, and enhance LLM & NLP models using the open-source Python library ecosystem. Experience with LLMs, Generative AI, and deep learning is a significant advantage. Build data science and data engineering pipelines specific to analyzing clinical data, such as extracting information from medical text or images, or integrating … uncertain information from multiple medical data sources. Collaborate with our team on customer-facing projects, utilizing your expertise to create advanced machine learning, deep learning, large models, and time series forecasting pipelines tailored to address specific business needs. Ensure models are validated for issues like bias, overfitting, and concept drift to ensure reliability and effectiveness. Engage directly More ❯

research in GenAI and health tech applications of LLMs. What you bring: As the ideal candidate for the GenAI Engineer role, you bring a wealth of experience in machine learning and NLP roles. Your strong proficiency in Python, deep learning frameworks such as PyTorch or TensorFlow, and GenAI libraries will be essential to your success in this … as is an understanding of HIPAA/GDPR compliance. Your strong problem-solving skills will be invaluable in our fast-paced environment. 3+ years of experience working in machine learning/NLP roles. Strong proficiency in Python, deep learning frameworks (PyTorch or TensorFlow), and GenAI libraries. Hands-on experience with vector search, embedding models, and retrieval pipelines. More ❯

Red Hat EMEA Technology Sales team is looking for an AI Platform Specialist Solution Architect (SSA) to join our team. This position assumes a crucial role in providing expert deep technical sales support for the seamless execution of Go-To-Market (GTM) strategies related to Red Hat AI within EMEA. Your primary focus will be to remove organizational, technical … pipelines, ML pipelines, and ML training and serving approaches leveraging additional support and resources from Red Hat as required. Facilitate pre and post-sales activities when needed, including technical deep dives, proofs of concept, “bake-offs,” internal sprints and hackathons, and development of partner vertical-specific AI solutions to drive adoption of Red Hat AI. Identify and partner with … community outreach and customer advocacy activities including conference speaking, blog posts, etc. Required Qualifications: SME with 4+ years of hands-on experience in one of the following areas: Machine Learning Use Case Development, including: Practical experience with a statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch). Building AI applications More ❯

Job ID: Evi Technologies Limited AWS Polly is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background to help advance the state of the art in Generative AI for speech synthesis. Polly powers natural-sounding Text-to-Speech (TTS) voices at scale and is evolving into a platform that leverages Large Language … Applied Scientist on AWS Polly team, you will be part of a fast-moving and collaborative environment where scientific innovation meets customer impact. You will research and develop advanced deep learning techniques, with a focus on LLMs and transformer-based architectures, to push the boundaries of natural speech generation. Your work will span areas such as prosody modeling … pipelines. We are part of AWS, driving innovation in multimodal generative AI. This role is ideal for scientists who want to work at the intersection of speech, language, and deep generative modeling, and who are excited by the challenge of bringing research to production at scale. BASIC QUALIFICATIONS - PhD, or a Master's degree and experience in CS, CE More ❯

in data science or a quantitative academic field. Strong Python programming skills demonstrated through previous work. Proficiency with data science libraries (e.g., NumPy, Pandas, Scikit-Learn) and familiarity with deep-learning frameworks (e.g., TensorFlow, PyTorch). High mathematical competence and proficiency in statistics. Solid understanding of data science techniques such as supervised/unsupervised learning, cross-validation … technical feasibility, and estimating delivery timelines. A product mindset, understanding user needs, and how Frontier delivers value. What we can offer you: The Faculty team is diverse, driven by deep intellectual curiosity, and committed to collective goals. You'll be surrounded by brilliant minds in various roles, each contributing unique perspectives, providing continuous learning opportunities. #J-18808-Ljbffr More ❯

About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs … a technical individual contributor (data scientist or software engineer) on AI-based products • You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases • You have deep understanding of concepts and algorithms underlying machine learning and LLMs • You're experienced with building and deploying LLMs or NLP applications • You have proven experience in AI or … machine learning product implementation with APIs, back-end and front-end interfaces. • You have strong technical coding skills in Python • You have experience with deep learning with Pytorch • You have experience with agents framework such as Langchain, vector DBs • You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical More ❯

c) supports operational process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills. Our solutions ensure that information in Amazon's catalog is complete, correct and … customers a great shopping experience every time. That's where you can help. We believe in "Work Hard. Have Fun. Make History" value by having a focus on sharing learning experiences from the front line with the development teams. So, the options for people in the team are vast. If you like mastering a domain and going deep … ideas and proposals and also seek advice and discuss about things outside work, like, life in general, your family, hobbies etc. We provide trainings to the employees through online learning platforms such as O'reilly and also encourage them to take up AWS/ML certifications. Key job responsibilities We are looking for a sharp, experienced Business Analyst(BA More ❯

Are you passionate about applying machine learning and statistical modeling to revolutionize financial systems that handle billions of dollars in transactions? Our team faces a unique challenge: developing intelligent systems to process, analyze, and derive insights from massive financial datasets generated across Amazon's global operations. This includes millions of customer transactions, vendor payments, inventory movements, commission calculations, and … tax collections across hundreds of jurisdictions worldwide. As an Applied Scientist, you will: Design and implement novel machine learning solutions for complex financial problems Work with large-scale distributed systems and real-time data processing Develop automated decision-making systems for financial workflows Create scalable algorithms that balance accuracy, latency, and computational efficiency Collaborate with software engineers to productionize … ML models The ideal candidate will have: Experience in machine learning, statistical modeling, and data analysis Experience with large-scale distributed systems and cloud computing Proven track record of solving complex analytical problems Excellence in scientific programming (Python, R, or similar) Communication skills to collaborate with cross-functional teams Passion for mentoring and technical leadership You'll join a More ❯

enabling AI agents to interact with customers as expertly as seasoned human financial and banking experts. We're a diverse group of people, including data scientists, data engineers, machine learning engineers, software engineers, product owners, DevOps specialists, and many more. We come from a variety of backgrounds across the globe, but we all share a vision of the untapped … project from working with the business collaborators and users to exploring the problem statement, exploring our data assets, experimenting with different modelling approaches and developing systems powered by Machine Learning all within an iterative and Agile environment. This means a focus on improving our customer and colleague journeys. You'll need to understand the business' requirements and work with … POs and Engineers to represent them through the creation and prioritisation of work for the development team. You'll develop experimental models and Machine Learning systems in Python, supporting other Data Scientists and working in close collaboration with the end users and business SMEs. Your models will have a material impact on the lives of up to 30m+ customers More ❯

have a background in generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling. Responsibilities Design methods, tools, and infrastructure to push forward the state of the art … large language models. Define research goals informed by practical engineering concerns. Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU). Work with a large and globally distributed team. Contribute to publications and open-sourcing … efforts. Minimum Qualifications Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Research experience in machine learning, deep learning, and/or natural language processing. Experience with developing machine learning models at scale from inception to business impact. Programming experience in Python and hands-on experience with frameworks such as More ❯