26 to 50 of 370 Deep Learning Jobs in the UK

team members in designing, developing, and delivering client solutions across multiple projects - leveraging competencies in statistical theory, data analysis and interpretation, regression analysis, machine learning algorithm development, deep learning, and natural language processing techniques. The individual must have a Master's or Doctoral Degree in Health Economics … of predictive equations, survival analysis (including parametric methods), longitudinal data analysis, meta-analysis, mixed treatment comparison, and other hierarchical analysis techniques. Familiarity with machine learning techniques and Bayesian statistics is a plus. Strong statistical programming skills with standard software, including SAS, R, or STATA. Strong communication (spoken and written … with regard to methodological elements in projects. Skills: Six or more years of working experience with healthcare consulting or pharmaceutical organizations. Familiarity with machine learning use cases in HEOR including the prediction of risk of various health care events; the causal estimation of treatment effects; developing models for economic More ❯

Deep Learning Architect, AWS Generative AI Innovation Center Job ID: AWS EMEA SARL (UK Branch) The Generative AI Innovation Center at AWS helps AWS customers accelerate the use of Generative AI and realize transformational business opportunities. This is a cross-functional team of ML scientists, engineers, architects, and … strategists working step-by-step with customers to build bespoke solutions that harness the power of generative AI. As a Deep Learning Architect, you'll partner with technology and business teams to build solutions that surprise and delight our customers. You will work directly with customers and innovate … and leadership. Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and productionization paths for generative AI. Create and deliver reusable technical assets that help More ❯

build, and directly apply your modeling solutions. There are numerous scientific and technical challenges you will get to tackle in this role, such as deep learning and reinforcement learning, and their application to various types of contextual, multi-step optimization of the customer journey. We employ techniques … from supervised learning, multi-armed bandits, optimization, and RL - while this role is focused on the space of discriminative and generative recommender systems. As the central science team within Prime, our expertise gets routinely called upon to weigh in on a variety of topics. We also emphasize the need … EMR/Spark, Redshift, Sagemaker, DynamoDB, S3, ), various ML algorithms and techniques (Random Forests, Neural Networks, supervised/unsupervised/semi-supervised/reinforcement learning, LLMs), and statistical modeling techniques. Major responsibilities - Build and develop machine learning models and supporting infrastructure at TB scale, in coordination with software More ❯

You will need to login before you can apply for a job. Deep Learning Architect, AWS Generative AI Innovation Center DESCRIPTION The Generative AI Innovation Center at AWS helps AWS customers accelerate the use of Generative AI and realize transformational business opportunities. This is a cross-functional team … scientists, engineers, architects, and strategists working step-by-step with customers to build bespoke solutions that harness the power of generative AI. As a Deep Learning Architect, you'll partner with technology and business teams to build solutions that surprise and delight our customers. You will work directly … and leadership. Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and productionization paths for generative AI. Create and deliver reusable technical assets that help More ❯

within the Alexa Conversational Assistants Services (CAS) org is looking for an Applied Science Manager 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 … initiative. Participate in and drive science publications in peer-reviewed venues of repute. BASIC QUALIFICATIONS - Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - 5+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP … Information Retrieval and Analytics - Experience building complex highly-scalable systems that involve predictive models or applications of machine learning - Familiarity with large-scale data processing and storage systems. - Excellent communication and interpersonal skills. - Ability to work in a fast-paced, collaborative environment PREFERRED QUALIFICATIONS - Experience building machine learning More ❯

event in the operating room into comprehensive, structured, and context-rich data that drive better insights and decision making we are seeking two machine learning engineers to join our data team. Using your deep technical expertise and real-world experience you will be instrumental in developing and deploying … machine learning solutions that improve clinical outcomes, drive productivity and support Proximie's continuing evolution into the unrivalled champion of the intelligent operating room. The first machine learning engineer position will work with multi-modal data (audio, vision, and language) to curate, consolidate, and augment retrospective and prospective … datasets that fuel the development of advanced machine learning solutions. You'll harness the power of Proximie's deep data lakes and apply cutting-edge generative techniques to solve real-world challenges for Proximie's customers. The second machine learning engineer position will lead the development of More ❯

be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet … be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth … implementation - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience - Proven track record in defining and developing end-to-end Machine Learning, Deep learning and Generative AI solutions, from conception to deployment - Experience in advising, defining and applying best practices, evaluating alternative and complementary More ❯

be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet … implementation Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience Proven track record in defining and developing end-to-end Machine Learning, Deep learning and Generative AI solutions, from conception to deployment Experience in advising, defining and applying best practices, evaluating alternative and complementary … with proficiency in a wide range of AWS services (e.g., Bedrock, SageMaker, EC2, S3, Lambda, IAM, VPC, CloudFormation) - AWS Professional level certifications (e.g., Machine Learning Speciality, Machine Learning Engineer Associate, Solutions Architect Professional) preferred - Experience with automation and scripting (e.g., Terraform, Python) - Knowledge of security and compliance standards More ❯

At ioMosaic, we are seeking an experienced AI Engineer to work on developing and deploying advanced AI models, machine learning algorithms, and data-driven solutions. The ideal candidate will have hands-on experience with AI frameworks and be able to contribute to the end-to-end AI development lifecycle … from data preprocessing to model deployment. Duties and Responsibilities Develop AI Models: Design, train, and optimize machine learning and deep learning models using state-of-the-art techniques. Data Engineering: Collaborate with data teams to collect, clean, and prepare large datasets for model training and evaluation. Algorithm … Mathematics & Algorithms: Strong knowledge of linear algebra, probability, statistics, and optimization techniques. Knowledge of MLOps, CI/CD pipelines, and automated testing for machine learning models. Version Control: Familiarity with version control tools such as DevOps/Git. Soft Skills: Problem Solving: Strong analytical and problem-solving skills, with More ❯

ECOM are partnered with an exciting software development company based in Manchester who are looking for a Senior Machine Learning Engineer. You will join an innovative technology company at the forefront of machine learning and artificial intelligence solutions. As a Senior Machine Learning Engineer, you'll be … part of a dynamic team dedicated to pushing the boundaries of AI technology and creating impactful solutions. Role Overview: Seeking a talented Senior Machine Learning Engineer to lead the development and implementation of advanced machine learning models and algorithms. As a key member of our team, you will … work on challenging projects, leveraging your expertise in machine learning to drive innovation and solve complex problems. Responsibilities: - Design, develop, and deploy machine learning models and algorithms to address business challenges and opportunities. - Collaborate with cross-functional teams, including software engineers and data scientists, to integrate machine learning More ❯

intuitive, and adaptive content recommendations across all Amazon surfaces. We aim to facilitate seamless reasoning and customer experiences, surpassing the capabilities of previous machine learning models. We are looking for a passionate, talented, and resourceful Senior Applied Scientist in the field of Natural Language Processing (NLP), Large Language Model … Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware personal assistant. 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 enjoy operating in … delightful recommendations and conversations. Your work will directly impact our customers in the form of products and services that make use of various machine learning, deep learning and language model technologies. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances More ❯

audio entertainment. We are revolutionizing how customers experience music, podcasts and audiobooks through personalized recommendations and novel listening features. We are innovating with Machine Learning technologies, including Large Language Models, to enhance content recommendations and create more engaging listening experiences. As a technical leader, you'll have ownership of … day in the life You will lead a team of applied scientists and engineers crafting delightful audio experiences. You'll leverage AI and machine learning to revolutionize how customers engage with audio content. Your day will involve leading large-scale, customer-facing services that directly impact the listening experience … the coming year. BASIC QUALIFICATIONS Bachelor's degree in Computer Science, Mathematics, Statistics, or a related quantitative field, or equivalent experience. Experience applying machine learning to solve complex problems for large-scale applications. Experience leading applied science and engineering teams in a software development organization. Highly proficient in both More ❯

to design, implement and deliver end-to-end solutions. We are seeking passionate, hands-on, experienced and seasoned Senior Applied Scientist who will be deep in code and algorithms; who are technically strong in building scalable computer vision machine learning systems across item understanding, pose estimation, class imbalanced … classifiers, identification and segmentation. You will drive ideas to products using paradigms such as deep learning, semi-supervised learning, and dynamic learning. As a Senior Applied Scientist, you will also help lead and mentor our team of applied scientists and engineers. You will take on complex customer … someone who truly enables AI and robotics to significantly impact the lives of millions of consumers. Key job responsibilities Architect, design, and implement Machine Learning models for vision systems on robotic platforms. Optimize, deploy, and support at scale ML models on the edge. Influence the team's strategy and More ❯

Job ID: Amazon Web Services, Inc. Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? Machine learning (ML) has been strategic to Amazon from the … world challenges - Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production - Create and deliver best practice recommendations, tutorials, blog posts, publications … be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and More ❯

intuitive, and adaptive content recommendations across all Amazon surfaces. We aim to facilitate seamless reasoning and customer experiences, surpassing the capabilities of previous machine learning models. We are looking for a passionate, talented, and resourceful Applied Scientist in the field of Natural Language Processing (NLP), Recommender Systems and/… Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware speech assistant. 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 enjoy operating in … delightful recommendations and conversations. Your work will directly impact our customers in the form of products and services that make use of various machine learning, deep learning and language model technologies. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances More ❯

engaging, intuitive, and adaptive content recommendations across all Amazon surfaces. Our goal is to enable seamless reasoning and customer experiences that surpass previous machine learning models. We seek a passionate, talented, and resourceful Applied Scientist specializing in Natural Language Processing (NLP), Recommender Systems, and/or Information Retrieval. The … involves inventing and building scalable solutions for a state-of-the-art context-aware speech assistant. The ideal candidate will have a strong machine learning background and a desire to innovate in these areas. They should enjoy working in dynamic environments, be self-motivated to tackle challenging problems, and … novel algorithms that enable timely, relevant, and delightful recommendations and conversations. Your work will directly influence our customers through products and services utilizing machine learning, deep learning, and language model technologies. You will leverage Amazon's diverse data sources and large-scale computing resources to advance the More ❯

data engineers, product teams, and software engineers to integrate ML solutions into proprietary leading-edge fintech applications. Research and implement state-of-the-art deep learning, reinforcement learning, and transformer-based NLP models (e.g., BERT, GPT). Monitor model performance and security, retrain models as necessary, and … adoption. Hire, mentor and support junior ML engineers, fostering engineering excellence, knowledge-sharing and best practices within the team. Requirements Strong background in Machine Learning, Deep Learning, and NLP Experience with transformer models (BERT, GPT, LLaMA, etc.) Proficiency in SQL, Python and ML libraries such as TensorFlow … accessible across the business Colleague Benefits Share options. 23 days annual leave, plus one for each year served (capped at 28). Birthday leave. Learning & development budget/time allocation Flexible start & finish hours 06:30 - 10:30 am Life assurance at 5x salary Health cash plan Virtual GP More ❯

Science leads the development and deployment of medical safety data models into production. This role plays a pivotal part in advancing AI/Machine Learning (ML) capabilities within the Global Medical Safety organization by developing ground breaking solutions and leading projects that deliver measurable business impact. Collaborates closely with … needs, define success metrics, and deliver impactful solutions Research, develop, and validate analytical models using leading AI/ML techniques, including supervised and unsupervised learning, deep learning, GenAI and natural language processing (NLP) Evaluate and integrate new data sources, emerging tools, and sophisticated analytics methodologies to transform … leading projects and project teams Healthcare or pharmaceutical experience is preferred Skills: Proficiency in Python and SQL for data manipulation, analysis, and model development Deep experience with machine learning models and techniques (supervised, unsupervised, deep learning, LLMs, etc.) Hands-on expertise in deploying models using MLOps More ❯

Machine Learning/Semantic Web - FTC (6 Months) - West London We have an opportunity available for an experienced AI/ML Engineer to join a team based in Egham. This position requires immediate start so we politely request that you only apply if you are available to start within … support. Focus on AI-driven energy management systems advancing sustainability and intelligent energy solutions for homes and businesses. Main Responsibilities: Develop and optimize machine learning models for disease prediction and early diagnosis. Process and analyze structured and unstructured health data - Implement deep learning for predictive healthcare applications. … AI-driven user personalization for visually impaired individuals. Develop AI-powered accessibility solutions. Ensure compliance with data privacy and ethical AI guidelines. Essential: Machine learning & deep learning - Proficiency in TensorFlow (2.x), PyTorch, Scikit-Learn. Strong skills in Python, experience with R or JavaScript is a plus. Experience More ❯

Machine Learning Engineer – Globally established entertainment company Salary: £90,000–£100,000 (can stretch to £110,000 for the right person) Location: London (Hybrid – 1–2 days per week in-office) Join a tech-first team modernising the way entertainment is brought to life. Work across innovative deep learning and exciting projects within the Gen AI, software, 3D and computer vision space. ROLES AND RESPONSIBILITIES Work closely with a high-impact, global team of 4 Gain exposure and work hands-on across deep learning projects, as well as innovative AI (e.g 3D, Computer Vision … Gen AI etc.) Join a company looking to modernise machine learning applications and AI while still giving control to creatives REQUIREMENTS ✅ 2+ years hands-on experience in deep learning (ideally in computer vision or 3D-related areas) ✅ Strong Python + debugging skills ✅ Experience designing & training models in More ❯

Machine Learning Engineer – Globally established entertainment company Salary: £90,000–£100,000 (can stretch to £110,000 for the right person) Location: London (Hybrid – 1–2 days per week in-office) Join a tech-first team modernising the way entertainment is brought to life. Work across innovative deep learning and exciting projects within the Gen AI, software, 3D and computer vision space. ROLES AND RESPONSIBILITIES Work closely with a high-impact, global team of 4 Gain exposure and work hands-on across deep learning projects, as well as innovative AI (e.g 3D, Computer Vision … Gen AI etc.) Join a company looking to modernise machine learning applications and AI while still giving control to creatives REQUIREMENTS ✅ 2+ years hands-on experience in deep learning (ideally in computer vision or 3D-related areas) ✅ Strong Python + debugging skills ✅ Experience designing & training models in More ❯

and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Corporation. Mid-Level Machine Learning Engineer Do you want to join a Machine Learning team committed to personalizing the PlayStation experience for hundreds of millions of users? The … work we do delivers impactful insights to build an increasingly dynamic and interactive experience! The Machine Learning Engineers within the platform engineering group will deliver optimized interactions across PlayStation experiences and systems by designing, coding, training, documenting, cost-effectively deploying and evaluating very large-scale machine learning systems. … groundbreaking ML technologies, tools and processes, as you help to advance our technical objectives and architectural initiatives. You Will: Design and develop various machine learning and deep learning models and systems for high-impact consumer-facing applications such as content personalizations and product recommendations. Work with a More ❯

programming skills Relevant experience (Post-Doctoral or industrial) in robotics, data fusion, tracking/estimation, pattern discovery & recognition, statistical inference, optimisation and machine/deep learning algorithms along with real-time implementation, and/or validation & verification is a strong advantage Experience in Matlab, Simulink and/or … filters, grid-based estimation methods, Multi-Object-Multi-Sensor Fusion, data-association, random finite sets, Bayesian belief networks, Dempster-Shafer theory of evidence Machine Learning for regression and pattern recognition/discovery problems e.g. Gaussian processes, latent variable methods, support vector machines, probabilistic/statistical models, neural networks, Bayesian … inference, random-forests, novelty detection, clustering Deep Learning e.g. Deep reinforcement learning, Monte-Carlo tree search, deep regression/classification, deep embeddings, recurrent Networks, natural language processing Computer Vision algorithms e.g. Structure from motion, image Based navigation, SLAM, pose estimation/recovery To be More ❯

Fresh off the back of our large seed-stage investment round, we are looking for an experienced Machine Learning Engineer to lead our ML work streams, and translate product concepts and requirements into a mixture of: research tasks, proof-of-concept applications, and production-ready features. Key Responsibilities: Developing … and refining advanced machine learning models for image generation, with a core focus on maintaining control of the output. Fine-tuning latent diffusion models and training new conditioning models. Optimising model performance for speed, quality, and ensuring scalability in a cloud-based environment. Creating and maintaining pipelines for automated … and engineering team to integrate ML models into the core product. Conducting research and staying up-to-date with the latest advancements in machine learning and computer vision relevant to our future roadmap and feature ideas. Mentoring junior ML engineers and data scientists, fostering a collaborative and innovative team More ❯

global teams, which have process and technical expertise. Therefore, RA should be a self-starter who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. Key job responsibilities Scoping, driving and delivering complex projects across multiple teams. … a thorough analysis of large datasets to identify patterns, trends, and insights that can inform the development of NLP applications. Developing and implementing machine learning models and deep learning architectures to improve NLP systems. Collaborating with seasoned Applied Scientists and proposing best-in-class ML solutions for … business requirements. Diving deep to drive product pilots, demonstrating innovative thinking and customer obsession to steer the product roadmap. Building scalable solutions in partnership with Applied Scientists by developing technical intuition to write high-quality code and develop state-of-the-art ML models utilizing recent research breakthroughs in More ❯