1 to 25 of 31 Deep Learning Jobs in London with Remote Work Options

Opportunity to work on emotionally intelligent AI avatars, transforming e-learning and customer experiences. Role: Computer Vision Engineer Location: London (Hybrid ) Salary: £80,000 (generous stock options) I'm hunting for innovative Computer Vision Engineers who are ready to reshape how humans and AI connect. What You'll Do … development, ensuring clean and efficient code. Build and Integrate Algorithms: Design and deploy custom computer vision algorithms. Drive ML Projects: Manage the full machine learning lifecycle for optimal performance. Collaborate and Improve: Participate in code reviews and team collaboration for continuous improvement. Experience Requirements: Advanced degree (Master’s or … PhD) in Computer Science, Engineering, or a related field. Over 3 years of experience in machine learning and computer vision, particularly with generative models. Strong Python skills and expertise in deep learning frameworks such as PyTorch. Familiarity with cloud tools like Docker and Azure. Experience with CI more »

Demonstrated experience in conducting research, ideally with at least one significant publication in a reputable venue. Work Experience: Research or Industrial experience in Machine Learning, Deep Learning or Reinforcement Learning is necessary Technical Proficiency: Proficiency in coding, showcasing your ability to translate research ideas into practical … implementations. Ability to translate advanced machine learning algorithms into code with Python About causaLens Current machine learning approaches have severe limitations when applied to real-world business problems and fail to unlock the true potential of AI for the enterprise. causaLens is pioneering Causal AI, a new category more »

one of the most recognisable organisations, this professional services firm, offers steady career progression alongside a collaborative environment. Responsibilities : • Deliver data science and machine learning solutions. • Take responsibility for project budgets, status reporting and client deliverables. • Manage relationships with key client stakeholders. • Provide Defence and Security specialist industry knowledge … record of dealing well with ambiguity, prioritising needs, and delivering results in an agile, dynamic environment. • Excellent communication including direct correspondence with senior leadership. • Deep understanding of the lifecycle of Data Science and Machine Learning projects, from research and design, to developing, testing and managing solutions. • Experience in … the Defence and Security sector. Candidates will hold experience delivering services related to one or more core Data Science/Machine Learning domains: • Advanced statistical modelling. • Machine learning/deep learning. • Computer vision. • Natural language processing. • Machine Learning Engineering. • Machine Learning Operations (MLOps). • Ethical more »

to contribute fully to our purpose. Reporting to the VP of Research, you’ll have the opportunity to work with state-of-the-art Deep Learning technology to develop creative solutions to exciting, challenging and industry-defined problems. How you’ll make an impact: Take ownership of research … areas in computer vision, machine learning and biometrics with high degree of autonomy tackling new, as yet, unsolved industry problems Work with our developers to see the products of the research turned into production code Collaborate with the research team on best solutions Communicate research outcomes across the company … quo of the existing solutions You will work with a diverse team of AI and machine vision specialists, applying state-of-the-art Machine Learning and Deep Learning techniques to develop original solutions to world wide problems. We tend to look for people with: A Masters or more »

solidified our commitment to leading the industry. Join us to be a part of the AI revolution! Job Description InstaDeep is looking for Machine Learning Engineers to join our Research Team in London, working at the intersection of machine learning and life sciences. Our in-house Research Team … aims to build foundational expertise and develops the next-generation in of deep learning technolgies for life science applications; for example, generative models for protein sequence and structure, protein structure prediction and inverse folding, ML-enhanced molecular dynamics, learning meaningul representations from proteomics datasets, and more. This … necessarily requires expertise not just in machine learning, but also in the curation of experimental data and computational modelling techniques such as homology modelling, molecular dynamics with classical force fields, quantum chemistry calculations with density functional theory. As a Machine Learning Engineer, you will work closely with our more »

ll be key in innovating, developing and training cutting edge CV models so we'd love to see experience in: Python and its tools Deep learning e.g. object detection, tracking, pose estimation etc. Deep learning frameworks Computer vision A deep interest or passion for sports more »

product and engineering teams across the globe. The Intelligent Systems team is at the forefront of driving innovation through cutting-edge data science, machine learning, and generative AI technologies. As a crucial part of our organization, this team is poised for substantial growth in the coming year and beyond. … development life cycle. Automating quality assurance processes and cloud resource allocation in software development. Requirements PhD or advanced Masters in Statistics, Computer Science, Machine Learning & AI, Mathematics, or Physics. Hands-on experience in at least three of the following areas: Generative AI, Supervised and Unsupervised Learning, Deep Learning, Computer Vision, Recommendation Systems, Knowledge Graphs, Probabilistic Inference, Bayesian Statistics, Reinforcement Learning. Strong industry experience, with a focus on taking concepts and models from conception to production and quantifying business impact. Proficiency in Python programming. Expertise in GIT and the data science Python stack. Experience with real more »

Train models from scratch for new customers and oversee continuous improvement for existing models. Implementing straightforward data management structures. Setting up a basic machine learning DevOps pipeline. Deploying systems on edge computing devices. Taking ownership of overall code quality and best practices. About your experience Technical skills: At least … years of experience overall, with hands-on experience in computer vision, including deep learning, implementation of the latest object detection models, and experience with object-tracking techniques. Proficiency in Python. Experience deploying models. Expertise in machine learning tools, with a must-have experience in torch or tensorflow. … can take the initiative and act without the need for constant direction. Curiosity. We admire a strong inquisitive nature, someone who embraces a continuous learning mindset, is unafraid to ask questions and explore new knowledge. Ownership. We appreciate candidates who take ownership of their work and demonstrate a strong more »

explosive growth, our client is now on the hunt for a sales superstar. They are a fast-growing funded start-up that is using deep learning to build automatic sign language translation. Our technology is grounded in world-leading AI research developed at the University of Surrey with more »

our commitment to leading the industry. Join us to be a part of the AI revolution! InstaDeep is currently looking for a new Machine Learning Engineer to join our expanding Genomics team, located in either London or Paris. Our team is primarily dedicated to applied research, with a strong … models Our goal is to push the boundaries of genomics research by delivering valuable insights and breakthroughs that were previously unattainable. As a Machine Learning Engineer within the Genomics team, you will play a pivotal role in advancing our mission to accelerate genomics research. Specifically, you will focus on … developing cutting-edge AI and deep learning solutions tailored for DNA analysis. Your responsibilities will encompass contributing to our in-house machine-learning codebases and libraries. Your core tasks will involve designing, developing, and optimizing deep learning models, especially language models, with a primary emphasis more »

smart decision-making in our business. As a key member of our Pricing and Allocation team, you will work closely with data analysts, machine learning engineers, and other data scientists, while also collaborating with business stakeholders and market specialists on a daily basis. YOUR DAILY ADVENTURES WILL INCLUDE: Work … users to identify, understand, structure, and solve complex optimization and allocation problems within the fast-moving urban mobility sector. Develop and implement cutting-edge deep learning models, with a particular focus on dynamic pricing strategies and efficient resource distribution. Collaborate with machine learning engineers to deploy sophisticated … models into production. Strive to grow and share your knowledge within the team, particularly in deep learning and deep reinforcement learning. Embody data science best practices and thrive on mentoring your peers, enhancing the collective expertise of our team. Be a champion of FREE NOW Data Science more »

list of customers that are building mission-critical applications on top of AWS services. 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? The Generative AI … 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, sample … 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 »

Group, we foster a collaborative approach to strategy and marketing to serve our customers. Our culture and approach is anchored in iterative and innovative learning and delivery, that puts the customer at the center of everything we do. We re here to identify new market opportunities, create a company … hard to build a culture of innovation that encourages experimentation and an open mindset to problem solving. Role/Responsibilities: The Assc Dir-Machine Learning Eng will be responsible for developing cutting-edge software applications in generative AI and building innovative solutions that address the unique challenges faced by … cross-functional teams to define objectives, identify data sources, assist data collection process, and develop production grade software applications. Design, implement, and validate machine learning algorithms and models; optimize and productionize their performance for real-world applications. Stay up to date with the latest developments in the field of more »

and industry knowledge. Candidates will be expected to contribute to all stages of the data lifecycle. Technical Proficiency: Strong background in artificial intelligence, machine learning, and data science. Proficiency in Microsoft AI technologies, including Azure Machine Learning, Azure Cognitive Services, and related tools. Leadership Skills: Proven experience in … science 8+ years data engineering delivery experience Strong understanding of ML algorithms, statistical modeling, and data science principles Experience in developing and deploying machine learning models using Microsoft ML Current Microsoft and/or Databricks certifications TECHNICAL SKILLS REQUIRED General Architecture In-depth knowledge of Azure OpenAI Being able … requirements Proficiency in Azure services, especially: ML, Cognitive Services, Azure Databricks, Azure Synapse Analytics Experience solutioning Azure Cloud based enterprise data architectures Knowledge of deep learning frameworks with a focus on Microsoft s Cognitive Toolkit (CNTK), TensorFlow and PyTorch Experience in implementing and optimizing deep learning more »

At Loci we re building powerful and fast 3D content understanding algorithms. We leverage cutting-edge technologies such as computer vision, machine learning, and graphics to revolutionise 3D content management and creation. AI has an important role in assisting 3D content creation. Loci s ML platform helps enterprise clients … for existing 3D assets with high precision, and create new 3D assets from arbitrary text prompts. Role Summary We're looking for a Machine Learning Scientist to work on methods for 3D content classification, retrieval, generation, and captioning. The role is based in London (Vauxhall) with flexible work-from … could be a dream opportunity. Competitive salary & stock options plan. We are backed by leading European VC funds. What You Will Be Doing Building deep learning algorithms for 3D content classification, retrieval, generation, and captioning. Analysing the performance and efficiency of existing approaches and designing new methods to more »

At Loci we re building powerful and fast 3D content understanding algorithms. We leverage cutting-edge technologies such as computer vision, machine learning, and graphics to revolutionise 3D content management and creation. AI has an important role in assisting 3D content creation. Loci s ML platform helps enterprise clients … for existing 3D assets with high precision, and create new 3D assets from arbitrary text prompts. Role Summary We're looking for a Machine Learning Engineer to work on methods for 3D content classification, retrieval, generation, and captioning. The role is based in London (Vauxhall) with flexible work-from … plan. We are backed by leading European VC funds. What You Will Be Doing Write production code to support the development and deployment of deep learning algorithms for 3D content classification, retrieval, generation, and captioning. Ensure the maintenance and monitoring of our deployed microservices. Build ownership of data more »

which consists of modelling, robotics, data and detectives teams working together to deliver an Autonomous Driving product. We are looking for an experienced Machine Learning Engineer to help us in our journey to scale end-to-end neural networks for autonomous driving. You ll be working across our embodied … AI org team to build, integrate, test and scale algorithms, tools, and machine learning solutions for autonomous driving. Challenges you will own Technical leadership of at least one company wide program Developing and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle … stack. Collaborating with cross-functional teams to contribute to the broader company strategy and roadmap, focusing on machine learning applications. Enhancing skills and knowledge in machine learning through continuous learning and application, while contributing to the growth and mentorship of junior engineers. Allocating personal bandwidth and technical more »

Post-Sales Machine Learning Engineer, Customer Success - EMEA (Remote) London Customer Success Success ML Engineer/At Weights & Biases, our mission is to build the best developer tools for AI developers. Weights & Biases is a series C company with 250 million in funding and a rapidly growing user base. … Our platform is an essential piece of the daily work for machine learning engineers, from academic research institutions like FAIR and UC Berkeley to massive enterprise teams including iRobot, OpenAI, Toyota Research Institute, Samsung, NVIDIA, Salesforce, Blue Cross Blue Shield, Lyft, and more. We're hiring a Machine Learning … Success to help our customers solve difficult, real-world problems and engage in ground-breaking research by using our developer tools in their machine learning pipelines. In this role, you'll be collaborating closely with the most advanced ML teams worldwide, tackling some of the most challenging ML issues more »

scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources, and you … programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of … the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as more »

company with 250 million in funding and a rapidly growing user base. Our platform is an essential piece of the daily work for machine learning engineers, from academic research institutions like FAIR and UC Berkeley to massive enterprise teams including iRobot, OpenAI, Toyota Research Institute, Samsung, NVIDIA, Salesforce, Blue … Cross Blue Shield, Lyft, and more. We're hiring a Machine Learning Engineer - Customer Success to help our customers solve difficult, real-world problems and engage in ground-breaking research by using our developer tools in their machine learning pipelines. In this role, you'll be working with … B functionality that highlights those capabilities, designing and executing proof of values (as needed) and securing a technical success in the evaluation process. Machine Learning Engineers on our customer success teams are critical to the success of our customers at Weights & Biases. You'll partner with Sales, Support, Product more »

Data Scientist/Machine Learning Engineer, Vice President Private Markets is one of the fastest growing asset classes in global financial markets, covering all investments asset classes like real estate, commodities, private equity, hedge funds, and private credit, that are not traded on public exchanges. Our group works within … the Aladdin engineering department building machine learning solutions to facilitate private market investing at BlackRock, and for Aladdin clients. Alts differs from other major asset classes as investment data generally comes in documents in semi or unstructured formats. Our job in the Data Science and Machine Learning group … deploy production standard ML models to solve real world financial problems Build/run in-house developed and third party ML models in production Deep learning research (Graph Neural Networks) Natural language processing (Semantic search, Generative LLMs) Datapoint extraction Develop novel methods to facilitate financial research from unstructured more »

Expertise in Python, Jupyter Notebooks, SageMaker (or similar), and familiarity with MLFlow or equivalent model management tools. Extensive experience in developing and deploying machine learning models in production, preferably within B2C, online retail or similar sectors. Proven track record of strategic model development, from conception through to production and … communication skills, with experience in presenting technical details to non-technical audiences. Whilst not a requirement, any of the following would be considered advantageous: Deep understanding of ethical considerations in data science, including privacy, fairness, and bias mitigation. Publications in relevant data science fields or contributions to open-source … projects. Experience with innovative data science techniques, including AI and deep learning, and their application in solving business problems. Background or interest in e-commerce or Health Tech, with an understanding of the specific data challenges and opportunities it presents. #LI-hybrid Why work with us? At HeliosX more »

IVRs Jenkins other Cloud Platforms Skills that will help you in the role Some experience in applying a wide range of statistical and machine learning techniques e g hypothesis testing regression clustering decision trees machine learning models Experience of data driven storytelling Proven ability to explain data analysis … insights and capabilities to audiences with differing technical backgrounds Concepts of Deep Learning Knowledge of Devops Jenkins Kubernetes SonarQube Veracode CheckMarx Maven Gradle etc Knowledge of tools like JIRA Agile Central Service First etc About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to … solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, cloud, and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion. What We'll Offer You Professional development. Accelerated career progression. more »

InstaDeep is looking for a Research Scientist to join our team working at the intersection of machine learning (ML) and cryo-electron microscopy and tomography (Cryo-EM/ET). The determination and study of 3D molecular structures can offer fundamental insights into the mechanisms that govern most cellular … ET are powerful tools for determining high-resolution structures of biomolecules in near native state. As these imaging techniques generate significant raw data, machine learning has great potential to accelerate and improve many stages of the processing pipeline; from particle picking and annotation, to reconstruction of 3D electron density … to work in the location you are applying for. Responsibilities: Collaborate within in-house and external experts in computational and structural biology, and machine-learning, to implement, develop and test new technologies. Use established tools and databases to build, explore and analyse biological datasets and systems Contribute to the more »

Explore and analyse data from various sources and formats using tools such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps, and Azure … Functions Run experiments and monitor performance of machine learning solutions using tools such as Azure ML Experimentation, Azure ML Studio, and Azure Application Insights Define high-value business scenarios that can benefit from generative AI and LLM solutions. Communicate and present findings and recommendations to stakeholders and customers using … tools such as Power BI, Azure Data Explorer, and Azure Cognitive Services Qualifications Demonstrable experience in data science, machine learning, or a related field. Proficiency in Python, R, SQL, or other programming languages for data analysis and machine learning. Experience with cloud platforms and services, preferably Azure, for data more »