76 to 100 of 137 Deep Learning Jobs in the UK excluding London

larger projects and factor complex efforts into independent tasks that can be performed by you and others. BASIC QUALIFICATIONS - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or … related language - Experience with neural deep learning methods and machine learning - Experience with prompting techniques for LLMs PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - PhD More ❯

fast-growing sector. Key Responsibilities 🔍 Data Science & Modelling: Work with complex financial datasets to extract insights, optimise risk models, and improve trading strategies. 🤖 Machine Learning Development: Design and implement predictive models for fraud detection, credit scoring, and algorithmic trading. 📊 Data Visualisation & Reporting: Build dashboards and reports to communicate insights … related field) from a Russell Group university . Proficiency in Python and SQL for data manipulation, analysis, and model development. Solid understanding of machine learning concepts , including supervised and unsupervised learning. Experience working with financial datasets , such as market data, transactions, or alternative finance sources. Strong analytical and problem … Experience with Large Language Models (LLMs), Natural Language Processing (NLP), and generative AI for financial applications. Familiarity with time series forecasting, anomaly detection, or deep learning techniques . Exposure to financial APIs such as Bloomberg, Refinitiv, or Open Banking. Experience with cloud platforms (AWS, GCP, or Azure) for More ❯

be a key member of the LNIP Technology Team. Your primary responsibility will be to drive the strategic vision of Data Science and Machine Learning initiatives across the organization, ensuring alignment with organizational goals. You will lead development teams in research, design, and software development projects, providing direct input … events to inspire young females to consider and pursue careers in technology. Responsibilities: Lead the development and implementation of advanced data analytics and machine learning models to solve complex business problems. Collaborate with cross-functional teams to identify data-driven opportunities and provide actionable insights. Mentor and guide junior … data scientists, fostering a culture of continuous learning and improvement. Design and execute experiments to validate hypotheses and optimize model performance. Communicate findings and recommendations to stakeholders through clear and compelling data visualizations and presentations. Stay up-to-date with the latest industry trends and technologies to ensure the More ❯

Senior Analyst - Data Science Analyst - Data Science Infosys is seeking a Data Science Analyst with machine learning and Python experience. The ideal candidate will work on productionizing machine learning models and guide the development team for implementing end-to-end machine learning use cases. One will also … platforms (AWS, GCP, Azure). Stay up-to-date with the latest research and advancements in AI, Image processing, and Computer Vision. Familiarity with deep learning frameworks (PyTorch, TensorFlow) including OpenCV. Strong communication and analytical skills. Ability to work in teams in a diverse, multi-stakeholder environment comprising … of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. Equal Employment Opportunity Infosys provides equal employment More ❯

AI systems to enhance product offerings and customer interactions. Conduct research and experimentation to improve AI algorithms and models. Train, evaluate, and deploy machine learning models into production environments. Collaborate with cross-functional teams to understand business requirements and deliver AI solutions that align with company values and missions. … including leaders, to share ideas, discuss problems, and drive continuous improvement. Qualifications and qualities which are preferred but not essential: Strong understanding of machine learning algorithms, deep learning frameworks, and AI technologies. Analytical and problem-solving skills, with the ability to challenge ideas and processes. Positive attitude More ❯

Scientist Salary: £50,000 - £57,000 Location: Birmingham - Hybrid working 1-2 days a month on site About You: Technical Skills: Expertise in machine learning (supervised, unsupervised, reinforcement learning). Strong proficiency in Databricks, Azure ML, Azure Data Factory, and SQL. Hands-on experience in Python, R, and … experience with deep learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Expert-level experience in Power BI for advanced visualisations, ML model interpretation, and KPI tracking. Deep knowledge of feature engineering, model deployment, and MLOps best practices. Experience with big data processing (Spark, Hadoop) and cloud More ❯

Scientist Salary: £50,000 - £57,000 Location: Birmingham - Hybrid working 1-2 days a month on site About You: Technical Skills: Expertise in machine learning (supervised, unsupervised, reinforcement learning). Strong proficiency in Databricks, Azure ML, Azure Data Factory, and SQL. Hands-on experience in Python, R, and … experience with deep learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Expert-level experience in Power BI for advanced visualisations, ML model interpretation, and KPI tracking. Deep knowledge of feature engineering, model deployment, and MLOps best practices. Experience with big data processing (Spark, Hadoop) and cloud More ❯

Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Years of commercial experience working on and deploying recommendation engines Excellent Machine Learning and Deep Learning skills Experience of working and deploying at scale Knowledge Graph and entity linking experience General RecSys experience If this More ❯

cutting-edge tools accessible and enabling users to bring their boldest ideas to life with speed and precision. Role Overview As our Senior Machine Learning Researcher, you will play a key role in advancing our AI capabilities. You will keep pace with cutting-edge developments in the AI and … machine learning space, evaluating the latest research papers to identify what can be integrated into our product. Additionally, you will develop proprietary models and improved techniques as proof-of-concepts, pushing the boundaries of what's possible in our product. This role demands an advanced knowledge of deep learning, latent diffusion, and the use of conditioning models, with a focus on practical application in the context of our product. Key Responsibilities Staying updated with recent advancements in machine learning and AI research, focusing on innovations relevant to image generation, rendering, and computer vision. Evaluating and More ❯

Full Time DESCRIPTION The Artificial General Intelligence team (AGI) has an exciting position for a Senior Applied Scientist with a strong background in Machine Learning and Large Language Models to play a critical role in driving the deployment of state-of-the-art conversational systems. As part of this … and guide junior scientists and contribute to the overall growth and development of the team. BASIC QUALIFICATIONS PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field. Experience with neural deep learning methods and machine learning. Experience in building machine … learning models for business applications. Experience in applied research. Experience programming in Java, C++, Python or related languages. Experience in patents or publications at top-tier peer-reviewed conferences or journals. PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. More ❯

translate into business value. We embrace a fast-paced, entrepreneurial mindset, enabling us to iterate rapidly and refine our AI strategies based on continuous learning and real-world feedback. Key Responsibilities AI Research and Model Development Conducting research in AI, using a full range of machine learning and … optimising AI that enhances automation and decision-making. Ensuring AI models are scalable and efficient for real-world enterprise deployment. Experimenting with different machine learning and GenAI techniques, including prompt engineering, RAG (Retrieval Augmented Generation), fine-tuning of LLMs, RLHF (reinforcement learning with human feedback), and adversarial techniques. … friendly manner. Leading AI experimentation initiatives and contributing to internal strategy discussions. Engaging with customers to understand AI needs and create practical solutions. Continuous learning and innovation. Staying up-to-date with AI and ML research relevant to HR and workforce management. Exploring new techniques in deep learning More ❯

mental healthcare? At ieso Digital Health , we’re on a mission to revolutionise patient care through advanced AI techniques, natural language processing (NLP), and deep learning. We’re seeking an Senior AI Scientist to design and implement innovative solutions that directly impact mental health treatment. What You'll Do … or a related field. ✔ Experience as an effective researcher in academia or industry. ✔ Strong programming skills (Python, Java, or Scala). ✔ Expertise in machine learning and NLP, including deep learning applications. ✔ Agile mindset with a problem-solving approach and a passion for getting things done. Bonus Points More ❯

mental healthcare? At ieso Digital Health , we’re on a mission to revolutionise patient care through advanced AI techniques, natural language processing (NLP), and deep learning. We’re seeking an Senior AI Scientist to design and implement innovative solutions that directly impact mental health treatment. What You'll Do … or a related field. ✔ Experience as an effective researcher in academia or industry. ✔ Strong programming skills (Python, Java, or Scala). ✔ Expertise in machine learning and NLP, including deep learning applications. ✔ Agile mindset with a problem-solving approach and a passion for getting things done. Bonus Points More ❯

mental healthcare? At ieso Digital Health , we’re on a mission to revolutionise patient care through advanced AI techniques, natural language processing (NLP), and deep learning. We’re seeking an Senior AI Scientist to design and implement innovative solutions that directly impact mental health treatment. What You'll Do … or a related field. ✔ Experience as an effective researcher in academia or industry. ✔ Strong programming skills (Python, Java, or Scala). ✔ Expertise in machine learning and NLP, including deep learning applications. ✔ Agile mindset with a problem-solving approach and a passion for getting things done. Bonus Points More ❯

translate into business value. We embrace a fast-paced, entrepreneurial mindset, enabling us to iterate rapidly and refine our AI strategies based on continuous learning and real-world feedback. In this role your key responsibilities will include: AI Research and Model Development Conducting research in AI, using a full … range of machine learning and GenAI techniques to develop solutions across the entire HR lifecycle. Designing and optimising AI that enhances automation and decision-making. Ensuring AI models are scalable and efficient for real-world enterprise deployment. Experimenting with different machine learning and GenAI techniques, including prompt engineering … RAG (Retrieval Augmented Generation), fine-tuning of LLMs, RLHF (reinforcement learning with human feedback), and adversarial techniques. Evaluating AI model performance using statistical and business-driven metrics. Working on natural language to SQL AI transformations to extract data value. Working on natural language to other meta-language translation/ More ❯

Engineer (GPU & ML Optimization) Location: London, UK About the Client: We are partnering with an exciting, disruptive technology company at the forefront of machine learning (ML) and high-performance GPU computing. This innovative firm is leveraging cutting-edge GPU technology to optimize machine learning algorithms and computational models … technology. The Role: We are seeking a Low-Level C++ Engineer to join their team and work directly on optimizing GPU performance for machine learning (ML) workloads. As part of the ML optimization team, you will be responsible for developing and fine-tuning GPU-level solutions that accelerate machine … learning training and inference. This involves working on the GPU hardware, optimizing the underlying C++ code, and pushing the performance of ML algorithms to new heights. Your work will directly contribute to optimizing ML workloads on GPUs, enabling faster, more efficient computation for large-scale data processing and AI More ❯

world class engineers, data scientists, and researchers to shape the future of secure authentication. What you will be doing: Participate in hands-on machine learning research and deliver the results of the research in the form of new products. Communicate your results to the Science team, Engineering and Product … teams Participate in the machine learning life of the team (reading groups, etc.) Learn best machine learning practices from a team of senior applied scientists Essential Skills: Formal training in machine learning and computer vision Coding experience in python Experience working with at least one deep learning framework (pytorch or tensorflow) A strong willingness to learn Highly collaborative mindset A strong interest for a product-centric organization Desirable Skills: Working knowledge of cloud computing (preferably AWS) and tools and technologies such as docker and git Where you will be: At Entrust, we have a More ❯

far richer, more capable intelligent behaviours. This is a unique opportunity to help build a dedicated AI function focused on embedding cutting-edge multimodal learning models into next-gen robotic platforms. The role will involve defining the long-term roadmap for how intelligence is deployed across the stack, from … into unified, responsive behaviours. To be successful in this role, you’ll need to bring: Strong technical leadership across applied AI/ML, with deep hands-on experience in robotic learning or embodied intelligence A solid background in multimodal model development—especially in areas that combine computer vision … language understanding, and interactive learning (LLM, VLM or VLA) Real-world deployment experience of learning-based systems, ideally within robotic or physical environments (embodied systems (AI) & reinforcement learning) Comfort collaborating across functions, especially with engineering, hardware, and system design teams Solid programming and prototyping skills using modern More ❯

University Assistant Professor in Machine Learning 2025-02-26 Cambridge The successful candidate will contribute to research and teaching in Information Engineering, developing an independent research portfolio, securing grants, and mentoring students. Teaching responsibilities span all four years of the undergraduate MEng program, with a focus on 3rd and … 4th-year modules in machine learning, computer vision, and probabilistic modeling, as well as opportunities to teach and supervise graduate students. Research: The candidate will be expected to contribute to the research and teaching within Information Engineering. Assistant Professors are expected to develop their own research portfolio, including winning … course, with an emphasis on 3rd and 4th year Information Engineering modules. The successful candidate can expect to contribute to courses related to machine learning and/or computer science, such as the 3rd year module in Inference (3F8), and 4th year modules in Deep Learning and More ❯

We are seeking a talented Machine Learning (ML) Scientist to join a groundbreaking initiative to develop Digital Twins for rare diseases. You will work within a multidisciplinary project team, across the Open Targets, Molecular Systems and Petsalaki research groups at the EMBL European Bioinformatics Institute (EMBL-EBI). This … level data. To address this challenge, this project aims to develop 'Digital Twins' of rare disease patients by combining mechanistic, GenAI and other machine learning framework models to integrate patient-level multi-omics and clinical data to provide insights into rare diseases. The models will utilize extensive public datasets … R, or similar programming languages. • Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. • Strong knowledge of advanced statistical techniques and modern deep learning methods. • Expertise in pipeline workflow management tools like Nextflow or Snakemake. • Excellent communication skills, both written and verbal, for collaborative teamwork and More ❯

Machine Learning Engineer Paris, France CDI, Permanent position Hybrid working 5V Tech is working with an innovative and rapidly expanding scale-up operating at the intersection of healthcare and AI. They're now looking for a Machine Learning Engineer to join their team in Paris. This is an … Producing clear and structured technical documentation for both internal and external use. Key skills required: Solid background in Python, Linux, and Git. Experience in deep learning (TensorFlow, Keras, PyTorch) and statistical validation of medical devices. Fluent in English and French. If this sounds like the kind of opportunity More ❯

applying advanced NLP and LLM techniques to solve complex language translation challenges in e-commerce, improving our international marketplaces. Architect and implement scalable machine learning solutions to enhance translation quality evaluation and pipeline efficiency across teams. Spearhead cross-functional collaborations to define project requirements, success metrics, and deliver impactful … translation for Amazon's customers, ensuring high-quality, fast, and cost-effective translations across all teams. Minimum requirements 3+ years of experience building machine learning models for business applications. PhD or Master's degree with 6+ years of applied research experience. Proficiency in programming languages such as Java, C++ … Python, or related. Experience with neural deep learning methods and machine learning. Familiarity with modeling tools like R, scikit-learn, Spark MLLib, MxNet, TensorFlow, numpy, scipy. Experience with large-scale distributed systems such as Hadoop, Spark. Amazon is an equal opportunity employer. For accommodations during the application process More ❯

MACHINE LEARNING SCIENTIST - Simulations and Optimisation £60,000 - £80,000 HYBRID - London COMPANY: We are working with an exciting AI startup who focus on using digital twin technology to help predict and capture future demand and maximise resources amongst transport networks ROLE: Focus on technical work around simulation and … historical data and uncovering real time system dynamics through live components Predictive modelling to predict passenger flow Mix of classical ML, simulation optimisation and deep learning REQUIREMENTS: Proven experience in optimisation and/or simulation A strong background in classical ML 3+ Years experience An MSc or PhD 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 … 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 … 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 More ❯

Stay up to date with the latest research in GenAI and health tech applications of LLMs. Requirements 3+ years of experience working in machine learning/NLP roles, with recent focus on LLMs and/or GenAI. Strong proficiency in Python, deep learning frameworks (PyTorch or TensorFlow More ❯