26 to 50 of 114 Deep Learning Jobs in the UK excluding London

Applied Scientist, Conversational AI ModEling and Learning Conversational AI ModEling and Learning (CAMEL) team is part of Amazon Devices organization where our mission is to build a best-in-class Conversational AI that is intuitive, intelligent, and responsive, by developing superior Large Language Models (LLM) solutions and services … Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also have hands-on … scale computing resources to accelerate advances in artificial intelligence. You will work on core LLM technologies, including Prompt Engineering and Optimization, Supervised Fine-Tuning, Learning from Human Feedback, Evaluation, Self-Learning, etc. Your work will directly impact our customers in the form of novel products and services. BASIC More ❯

Machine Learning Engineer (Medical & Drug Discovery) Oxford (2 days a week onsite) Competitive (Up to £85,000, DOE) Join a leading innovator in medical and drug discovery, using AI to accelerate healthcare breakthroughs. If you're passionate about applying machine learning to complex biological challenges, this is your … chance to make a real impact. Role Overview: As a Machine Learning Engineer, you'll design and optimize AI models to advance biomedical research. You'll collaborate with data scientists, bioinformaticians, and scientific experts to transform large datasets into actionable insights. Key Responsibilities: Develop, train, and deploy ML models … for protein structure, drug-target interactions, and biomarker discovery. Build data pipelines for large biomedical datasets (genomics, clinical, molecular). Implement deep learning models (e.g., CNNs, RNNs, transformers) for biological analysis. Apply NLP to process biomedical literature and clinical data. Collaborate with cross-disciplinary teams to ensure models More ❯

helping advertisers effectively reach their target audiences. BASIC QUALIFICATIONS Master's degree Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in building machine learning models for business application Experience in applied research Experience with large … scale machine learning systems such as profiling and debugging and understanding of system performance and scalability Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. PREFERRED QUALIFICATIONS Experience with popular deep learning frameworks such as MxNet and Tensor Flow. PhD More ❯

Software Engineer, AI Labs, Vice President About this role Senior Software Engineer - Machine Learning AI Labs Overview: Since our founding over 30 years ago, BlackRock has brought together great minds to drive innovation. From the beginning, we have been demonstrating technology for insight and efficiency to make our business … hub with a firm-wide remit to solve strategic business challenges for the firm by bringing to bear our expertise in data science, machine learning, generative AI, optimization, stochastic control and statistics. Our mission is to combine human and machine intelligence to revolutionize asset management. The team is led … the form of alpha generation, operational efficiencies, and cost reduction. Building on the success of systematic investment teams with a history of demonstrating machine learning at BlackRock to create alpha, the goal is to apply these same techniques throughout the business. The team has grown to 30+ data scientists More ❯

Sensors Job ID: Evi Technologies Limited The Camera and Sensors team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with computer vision and multimodal perception models for various Amazon devices. Key job responsibilities: As … engineers across multiple global teams in the devices group. BASIC QUALIFICATIONS - PhD - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience in building machine learning models for business application - Experience in applied research PREFERRED QUALIFICATIONS - Experience More ❯

Type: Permanent Hours: Full Time DESCRIPTION The Camera and Sensors team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with computer vision and multimodal perception models for various Amazon devices. Key Responsibilities As an … engineers across multiple global teams in the devices group. BASIC QUALIFICATIONS PhD Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in building machine learning models for business applications Experience in applied research PREFERRED QUALIFICATIONS Experience More ❯

The Francis Crick have an exciting opportunity available for a Machine Learning Engineer???? to join one of the world's leading research Institutes at a crucial time in its evolution, and play a definitive role in shaping it for the future. You will join us on a full time … staff collaborate on vital research to help prevent, diagnose and treat illnesses such as cancer, heart disease, infectious diseases and neurodegenerative conditions. The Machine Learning Engineer role: The role will be placed in the Software Engineering and AI facility and will support the MANIFEST research platform led by Prof. … Multiomic ANalysis of Immunotherapy Features Evidencing Success and Toxicity”), a newly formed ambitious multi-stakeholder consortium involving academic, industry and NHS partners to deliver deep multi-omic profiling for patients with cancer undergoing immunotherapy. The post holder will work closely with the Software Engineering and AI team and Cancer More ❯

join our forward-thinking London-based team and contribute to transformative AI initiatives from day one! In this role, you’ll collaborate with machine learning engineers, product teams, and domain experts to design and deploy AI models that solve real-world problems. From natural language processing to computer vision … s in it for you? AI-Focused Projects: Work on cutting-edge AI systems—chatbots, recommendation engines, anomaly detection, generative models, and more. Accelerated Learning: Access to AI-specific training, conferences, and mentorship from experienced data scientists and ML engineers. Innovative Culture: Be part of a team where experimentation … What We’re Looking For: A degree in Artificial Intelligence, Data Science, Computer Science, Mathematics, or a related field. Experience or coursework in machine learning, deep learning, or AI techniques (e.g., supervised learning, neural networks, NLP). Proficiency in Python and libraries like Scikit-learn, TensorFlow More ❯

Month Contract (Somerset, Hybrid) 📍 Location: Commutable from Bristol (Somerset) - Hybrid ⏳ Contract: 12 Months 💰 Day Rate: Competitive - Inside IR35 🏢 Industry: Government Defence | Data | AI & Machine Learning 🔐 Security Clearance: Active SC clearance preferred but not essential—candidates must be eligible for clearance . The Opportunity Our client, a leading Data enabler … and data science strategy. This high-impact role will lead a team of data scientists and work closely with senior stakeholders to operationalise machine learning , enhance automation, and ensure responsible AI governance. This is an exciting opportunity to shape the future of AI and data science within a Microsoft … date with industry advancements and emerging AI applications. 🔹 Collaborate with external partners, including other government agencies and industry bodies. 🔹 Provide technical leadership on machine learning deployment, MLOps, and model performance monitoring . Key Requirements ✅ Expertise in Data Science & Machine Learning , including supervised/unsupervised learning, deep More ❯

Alexa Conversational Modelling and Intelligence org in UK is looking for a Senior Applied Scientist with a background in Natural Language Processing, Machine/Deep Learning, and Large Language Models (LLMs). You will be working with a team of applied and research scientists to enhance existing features … 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. - Strong track record of patents and publications. PREFERRED QUALIFICATIONS - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects). - Experience More ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

The Alexa Edge AI team under Alexa Ambient Computing Tech Organization is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with computer vision, speech and multimodal perception models for various edge applications. Key job responsibilities … field experience - 1+ years of building models for business application experience - Experience programming in Java, C++, Python or related language - Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms PREFERRED QUALIFICATIONS - Experience in Vision Language Models, Audio-Video fusion and multi-modal LLMs 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

to capture comprehensive cellular signatures. Your work will enable precise predictions of drug effects, driving innovation in drug discovery. Key Responsibilities: • Model Development: Design deep learning models integrating diverse omics data to create robust cell embeddings for digital twin technology. • Multi-Omics Integration: Develop and refine foundation models … Publications in top ML conferences (e.g., NeurIPS, ICLR, ICML, CVPR). 2. Strong ML/Applied Math Background: Expertise in advanced ML techniques. 3. Deep Learning Experience: Building and scaling AI models for omics or high dimensional biological data. 4. Multi-Omics Integration : Experience developing foundation models across More ❯