126 to 150 of 362 Deep Learning Jobs in the UK

Lear is available at or on Position overview: As an AI-focused software developer, you'll be responsible for designing, implementing, and deploying machine learning models and algorithms into production systems. Your role will involve creating custom solutions, integrating AI capabilities into existing software applications, and ensuring reliable performance. … data scientists, product managers, and other stakeholders to understand project requirements. Translate theoretical AI algorithms into robust, scalable code. Develop and optimize machine and deep learning models. Test and debug AI software to ensure functionality and reliability. AI deployment in industrial plants. HEALTH, SAFETY & ENVIRONMENTAL RESPONSIBILITIES Ensure a … or master's degree in computer science, Software Engineering, or a related field. Proficiency in programming languages (e.g., Python, C#, C++). Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Knowledge of cloud platforms (e.g., Azure). Familiarity with containerization is a plus (e.g., Docker, Kubernetes). More ❯

This is why we started Encord. We are a talented and ambitious team of 75+, working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and … and consistently rated as the best tool in the market by our customers. We have big plans ahead and are looking for a Machine Learning Engineer to join our ML team. The Role We are looking for an experienced Machine Learning Engineer to help us conduct research on … to a broad tech stack (e.g. ReactJS, Python, REST & GraphQL, OpenCV, PyTorch, GCP, AWS & CUDA, Kubernetes) and the cutting edge of computer vision and deep learning. Qualifications The right candidate will have a proven track record of relevant publications and previous experience managing applied research teams. Requirements for the More ❯

s solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's platform is … Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results driven. Come join us! Summary: As platform engineers, we are building a … next-generation machine learning platform, which incorporates our secret sauce, UML (unsupervised machine learning) with other SML (supervised machine learning) algorithms. Our team works to improve our core detection algorithms and automate the full training process. As complex fraud attacks become more prevalent, it is more important More ❯

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 … 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 … 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. More ❯

banks and tech firms, they are set to move to series A round in H1 2025. This is an exciting opportunity for a Machine Learning Engineer who enjoys both conceptual innovation and meticulous optimisation. What you'll do: Create a wide range of synthetic datasets Train models and conduct … data-focused research initiatives aimed at improving data quality Instruction tuning, preference alignment, and model optimisation What you bring: 3+ years of practical Machine Learning experience Ability to lead and execute ambitious machine learning projects from start to finish Well-versed in Machine Learning, Deep Learning More ❯

Full time Reports to: Defect Detection Team Lead Location: Exeter or Bristol, minimum of 3 days in the office. Role Overview: As a Machine Learning Engineer at DeGould you will be responsible for building and maintaining our labelling, training and production inference data pipelines to produce high quality datasets … to be the standard for new vehicle inspection in the automotive sector. Key Responsibilities: The main deliverables of the role are: Deliver performant machine learning models for customers. Building capabilities to monitor and evaluate model performance and metrics. Detailed duties of the role include: Write production, robust, readable and … extendable code to support machine learning pipelines. Use industry best practices and seek to implement improvements across the machine learning lifecycle. Continuous evaluation of models in production and system performance analysis. Proactively seek technical solutions that solve customer problems. Stay up to date and evaluate opportunities to apply More ❯

following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning PREFERRED QUALIFICATIONS Experience in patents or publications at More ❯

In the dynamic landscape of On, Data and Machine Learning play a crucial role in accelerating our business growth and operations. We are enhancing our technology landscape to fuel the growth of On, helping to ignite the human spirit through movement. Your Mission Lead the AI Platform Domain: Provide … technical leadership and architectural vision for On's AI platform. Drive the strategy, development and implementation of scalable, reliable, and efficient machine learning solutions. Solve Complex Challenges: Tackle On's most challenging problems using cutting-edge machine learning techniques. Develop and deploy models that optimize e-commerce experiences … scientists on the latest advancements in the field. Collaborate and Mentor: Work closely with data engineers, data scientists, and product teams to integrate machine learning solutions into On's technology ecosystem. Mentor and guide junior engineers, fostering a culture of learning and growth. Drive Innovation: Stay at the More ❯

working independently with ML models. Key Job Responsibilities Collaborate with seasoned Applied Scientists and propose best in class ML solutions for business requirements. Dive deep to drive product pilots, demonstrating innovative thinking and customer obsession to steer the product roadmap. Build scalable solutions in partnership with Applied Scientists by … through continuous innovation, scalable infrastructure, and a data-driven approach to optimize value, efficiency, and reliability. We focus on key areas for enhancing machine learning operations: a) Model Evaluation: Expanding LLM-based audit platform to support multilingual and multimodal auditing. Developing an LLM-powered testing framework for conversational systems … in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics). 3+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining, and statistical algorithms. Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark More ❯

As a Research Analyst, you'll collaborate with experts to develop advance machine learning solutions for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write high-quality code, and develop state-of-the-art ML models. You'll coordinate … degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics) - 1+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms - Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark … advocate, product owner, engineering, business analysis) - Diverse experience will be favored eg. a mix of experience across different roles - In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service - Technical expertise, experience in Data science More ❯

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 … 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, we need you. If you can juggle three tasks and coordinate with multiple people in the heat of an incident, we need you. If you love the benefits of process and methodical improvement, you will love it here. If you want to keep your head More ❯

Business Analytics or related fields At least 8 - 10 years of experience in a consultancy role focused on innovation/data science/AI Deep knowledge of AI technologies (intelligent automation, machine learning, deep learning, LLMs, LRMs, autonomous agents and agentic workflows) and AI frameworks Hands More ❯

Business Analytics or related fields At least 8 - 10 years of experience in a consultancy role focused on innovation/data science/AI Deep knowledge of AI technologies (intelligent automation, machine learning, deep learning, LLMs, LRMs, autonomous agents and agentic workflows) and AI frameworks Hands More ❯

Applied Science Manager, Alexa Conversational Modeling & Learning Job ID: Evi Technologies Limited As a Applied Science Manager within Alexa in the Conversational Modeling & Learning Org, you will bring business and industry context to science and technology decisions. You will set the standard for scientific excellence for your team … LLMs including all phases (CPT, SFT, LHF) that works at Alexa scale. If you are deeply familiar with LLMs, natural language processing, and machine learning and have experience managing high-performing research teams, this may be the right opportunity for you. Our fast-paced environment requires a high degree … used every day by people you know. BASIC QUALIFICATIONS PhD Knowledge of ML, NLP, Information Retrieval and Analytics Experience directly managing scientists or machine learning engineers Experience programming in Java, C++, Python or related language Experience in building machine learning models for business application Experience in applied research More ❯

much does it cost to repair a car after an accident or fix a home after a weather event? How can we best leverage Deep Learning and Generative AI models to maximise the potential of vast amounts of unstructured data, including calls, documents, and images? How do dynamic … Python is essential, including the use of fundamental data science libraries (e.g., Pandas, NumPy, Sci-kit-Learn). You may also have experience with Deep Learning models (libraries including PyTorch, Transformers) and usage of GenAI. Highly numerate and analytical problem-solvers, with a Degree, Masters or PhD in More ❯

much does it cost to repair a car after an accident or fix a home after a weather event? How can we best leverage Deep Learning and Generative AI models to maximise the potential of vast amounts of unstructured data, including calls, documents, and images? How do dynamic … Python is essential, including the use of fundamental data science libraries (e.g., Pandas, NumPy, Sci-kit-Learn). You may also have experience with Deep Learning models (libraries including PyTorch, Transformers) and usage of GenAI. Highly numerate and analytical problem-solvers, with a Degree, Masters or PhD in More ❯

distill, and fine-tune Generative AI models to optimize for edge platforms. Understand Amazon's Neural Edge Engine to invent new optimization techniques. Analyze deep learning workloads and guide their mapping to Amazon's Neural Edge Engine. Apply principles from Information Theory, Scientific Computing, Deep Learning … electrical engineering, or a related field. Preferred Qualifications Experience using Unix/Linux environments. Professional software development experience. Knowledge of standard speech and machine learning techniques. Additional Information We are committed to an inclusive culture that empowers Amazonians to deliver the best results for our customers. If you need More ❯

to understand challenges and own the technical solutions, identifying further opportunities to deliver value. Search optimisation - vector embedding of search terms and product items Deep learning and regression modelling for product profitability forecasts Work closely with data engineering and software development teams to define technical requirements and ensure … timely delivery. Analyse large volumes of data from various sources, including transactional, demographic, and online data, to build predictive models. Apply machine learning techniques to personalise customer experiences and optimise content presentation. Design and execute robust testing strategies to validate hypotheses and measure commercial impact. Present insights and recommendations … and customer experience improvements. About You Strong expertise in a broad range of data science techniques , including regression, classification, and machine learning. Experience with deep learning or generative AI is a plus but not essential. Proficiency in (Spark)SQL and Python . Experience with PySpark is beneficial but More ❯

Looking for a deep learning role that could make the Mariana trench seem like a puddle? This global investment manager hires asset class experts, such as an ex-portfolio manager from a Tier 1 hedge fund to grow and manage risk. You’re going to be part of … headcount growth this year to over 1000 which includes a 20% increase into research. You’ll collaborate to develop different machine learning models for trading strategies and create high quality signals. You'll be working at an MFT systematic multi-strat fund whose performance has been top tier over … an investment firm of this calibre. You will ideally have prior experience in a fund within financial services with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will also More ❯

Looking for a deep learning role that could make the Mariana trench seem like a puddle? This global investment manager hires asset class experts, such as an ex-portfolio manager from a Tier 1 hedge fund to grow and manage risk. You’re going to be part of … headcount growth this year to over 1000 which includes a 20% increase into research. You’ll collaborate to develop different machine learning models for trading strategies and create high quality signals. You'll be working at an MFT systematic multi-strat fund whose performance has been top tier over … an investment firm of this calibre. You will ideally have prior experience in a fund within financial services with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will also More ❯

the forefront of driving innovations and shaping the ecosystem from CDMA to 3G UMTS, 4G LTE, LTE Advanced, and now 5G, 6G and machine learning (ML) applications to wireless communications. The candidate will focus on spectrum engineering studies, aiming at identifying new spectrum opportunities for the advance of 5G … of radio communication theory and digital signal processing. Basic knowledge of information theory, coding theory, adaptive filtering, signal detection and estimation, optimization theory, machine learning, deep learning theory, networked and mobile computing environments, and their applications to Wireless Communications. Familiarity with design, analysis and simulation of PHY More ❯

benefit options including discounts at hundreds of retailers, cycle to work scheme, discounted gym memberships and healthcare schemes Employee assistance and well-being programmes Learning and development tailored to your role - this could include industry recognised qualifications, coaching and mentoring An inclusive and diverse environment with opportunities to join … us with the job reference in the subject. Introduction BBC R&D's AI Research Applied Area is focused on the use of Machine Learning and Artificial Intelligence across the BBC. AI Research works closely with other BBC R&D Applied Research Areas, BBC Product and Technology Groups and … senior business stakeholders across the BBC to accelerate Machine Learning based innovation. Reporting to the Head of AI Research, the Senior Principal Data Scientist will lead a team of machine learning researchers focusing on natural language processing. As a Senior Principal Data Scientist, you will play a key More ❯

Qualifications Experience programming in MATLAB, Python, Javascript, C++ and/or Java Expertise developing algorithms in areas such as signal processing, image processing, machine learning, deep learning and/or control Interest in software architecture, web technologies, and enterprise integration patterns Strong communication and presentation skills Most More ❯

Research Engineer: Graph Machine Learning Atman Labs, London About Atman Labs At Atman Labs we are building software to emulate proactive human expertise. Emulating human experts with deep knowledge and proactive assistance has largely been impossible to do via standalone Artificial Intelligence techniques. As an applied research and … shopping assistance, to personal teachers to healthcare concierges - and with this commercial focus advance our unique research that lies at the intersection of Reinforcement Learning rewards, Large Scale Knowledge Representation, and Predictive Models inspired by biological priors. The Next Frontier of Machine Reasoning: Web-scale Knowledge Graph Exploration using … Reinforcement Learning Human experts can form and explore structured mental models in their heads to solve open-ended problems across different domains. Our research seeks to emulate this process through a novel combination of using reinforcement learning agents to perform exploration through a knowledge graph. Knowledge graphs allow More ❯

data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering solutions via machine learning and statistical modelling. What you will do As a part of Aimpoint Digital, you will focus on enabling clients to get the most out … build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations. As a Lead Data Scientist, you will be expected to work independently on … as cutting-edge solutions that, regardless of complexity, your clients can understand, implement, and maintain. You genuinely think about the end-to-end machine learning pipeline as you generate robust solutions. You are both a teacher and a student as we enable our clients, upskill our teammates, and learn More ❯