1 to 25 of 63 Permanent Deep Learning Jobs in London

Seeking a Talent, Learning & Development Partner for a large complex organisation supporting the Digital & Technology business functions. The role will work with senior leadership to spearhead a dynamic learning strategy aligned with the business objectives and people plan. The role will assume responsibility for all talent and learning priorities to drive organisational performance across the business. Experience of operating a Learning Development Partner within with a Technology organisation or supporting Digital and Technology functions will be essential for the role. This will include: Utilising a commercial mindset and deep expertise within talent & learning to … identify and prioritise key needs in this space and work with senior business leaders to execute and implement talent & learning initiatives. Drive and communicate Learning strategy and plans, supporting the effective launch of new learning solutions, driving awareness and engagement, leveraging data and insights to share progress more »

Job DescriptionAI/Python/Data scientist/Machine Learning Engineer/Neural Networks/Deep Learning/LLMsRole: Lead Data ScientistLocation: Remote - Occasional Meetings in London (Client)Company: AI Analytics Start-UpSalary: up to £130,000 + BonusProjects: Neural Networks, NLP, Machine Learning, Deep … of data scientist on Neural Networks LLMs (CNN & RNN), ML, & NLPNLP/AI/ML/Spark/Python/Data scientist/Machine Learning Engineer/OCR/Deep LearningRequirementsBachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)Experience with applied … Neural Networks (CNN & RNN), LLMsDeep understanding of predictive modelling, machine-learning, clustering and classification techniques, NLP and algorithmsFluency in a programming language (Python, C,C++, Java, SQL)Experience Managing/leading teams in DSAI/Python/Data scientist/Machine Learning Engineer/Neural Networks/Deep more »

Job DescriptionMachine Learning Engineer- Fully Remote £700-£800 pd via UmbrellaInitially for 6 monthsGlobal Ecommerce business is looking to recruit a Machine Learning Engineer to work on greenfield projects and AI products. Role:The Machine Learning Engineer will play a crucial role in the development and implementation … of state-of-the-art machine learning models and AI algorithmsThis is a hands-on engineering role where you will spend the majority of your time writing code in Python to design, build, and deploy machine learning solutions.Experience/skills:Proven experience working as a Machine Learning … experience of deploying a cloud platform (GCP, AWS or Azure)Strong proficiency in NumPy for numerical computing and data manipulation tasks.Proven knowledge of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP, Transfer Learning etc.) and more »

e.g., PEFT, DeepSpeed, TensorRT) to optimize ML models? Have you ever managed or worked with a multi-node HPC cluster? Are you familiar with Deep Learning using PyTorch Library? Do you have experience with Kubernetes container orchestration? Have you worked with some of the recent Large Language Models … the languages of ML (quantization, PEFT, DeepSpeed, ONNX, TensorRT...)inference servers like multi-LoRa, LoRA Exchange, TitanML ️multi-node HPC clusters like a pro ️Deep Learning with PyTorchcontainers with KubernetesLLMs (OpenAI, Mistral, Claude, LLaMA...) inside and outLLMs for GPU usage, scaling, and data movement ️The Perks? They're more »

Job DescriptionOpportunity to work on emotionally intelligent AI avatars, transforming e-learning and customer experiences. Role: Computer Vision EngineerLocation: 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:Innovate … Lead pipeline 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/CD processes and tools. more »

Job DescriptionLead Machine Learning EngineerUp to £95,000 + 10% bonus, car allowance and benefitsWest London - 1-2 days a monthThis is a chance to join an Telecomms company help build and deploy impactful models and work with cutting-edge technologies. They are looking for a Lead MLE to … building and deploying models.The Role:Your day-to-day responsibilities will include:Building, deploying and productionising segmentation, churn, and recommender system-based projects, alongside deep learning and neural networks to support core internal projectsPart of a team of 7 reporting to the Head of Data ScienceChance to upskill more »

Tableau, Looker,… Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may more »

an organization comprised of applied scientists and engineers from prototyping across development and integration of advanced systems relying heavily on Computer Vision and Machine Learning technologies.Owning the development of system requirements, and collaborating with respective teams to mature and integrate technologies necessary to create product architectures that can deliver … organization through technical leadership.Demonstrated experience in recruiting and managing technical teams, including performance management.Experience in managing teams productizing Computer Vision or AI/Machine Learning technologies from conception to end.Leadership and interpersonal communication experience in working across many disciplines, driving best practices, and mentoring team members.Technical experience in leading … teams/projects in one or more of the technical domains of machine perception (i.e., machine vision, deep learning, sensors and robotics).Start preparingLearn about how to prepare for your interview with our interview guide, tips, and interactive experiences.Visit interview prepLocationsWarning noticeYour browser doesn't support mapbox-gl more »

headquartered in Redwood City, CA, Liftoff has a diverse, global presence.About the team:The Conversion ML team is responsible for improving and maintaining machine learning models that have a pivotal impact on the performance of Accelerate customers’ advertising campaigns. The team collaborates closely with other ML-oriented teams at … Liftoff. We use many modern ML frameworks and architectures, including Spark and PyTorch to build deep neural networks.Location:This role is located in Liftoff's Hub in Paris, France or can be in any of the following locations: England or Germany. ML Engineers located in Paris will be asked …/Ooyala/etc).Requirements: Very strong coding ability (experience in Go or Clojure is a plus).4+ years of industry experience applying Machine Learning to large scale problems.Strong core CS fundamentals (data structures, algorithms, architecting systems).A passion for quality and excellence, and the ability to temper it more »

Machine Learning Researcher We are partnered with a multi-billion hedge fund, with an active hiring mandate for ML Researchers. This opportunity involves architecting state-of-the-art ML solutions, generating novel algorithmic architecture and applying the latest deep learning techniques to quantitative trade research. Joining a … leading computing tools to apply and build ML models from the ground up, utilizing new and established techniques and methods like neural networks, reinforcement learning, deep learning, and natural language processing. Remain connected to the broader research community, staying on top of the latest research and publications … proof of concept solutions, running experiments, developing techniques and writing high-quality code to support the research output. Requirements: PhD or masters in machine learning, computer science or related field. Proven track record of peer-reviewed publications. Strong programming skills and experience working with Python and Pandas, Numpy, scikit 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 »

to improve strategy performance. The candidate can expect exposure to a wide range of interesting and challenging problems involving financial market, statistical modelling, machine learning, deep learning, and computational finance. Required Core Competency Deep understanding of financial markets and market micro-structure Exceptional analytical and problem … and strong track record of using creativity to come up new HFT/MFT trading strategies Hands on knowledge in applying statistical and machine learning methods to financial data using Python/R Comfortable taking ownership of projects and responsibilities with minimum supervision At least a bachelors degree in more »

shared passion to positively impact society. You will be supported in your professional development by working closely with the Head of Data and Machine Learning alongside 5 other Data Scientists.Between the team, they have run Amazon's European supply chain, built Just Eats corporate meal delivery platform, and monitored … interest? Apply now!Data Scientist Key Words: Data, Science, Scientist, Analytics, Statistics, Flexible, collaboration, Python, R, SQL, Mathematics, Statistics, Statistical, Predictions, Predictive, AI, Machine Learning, Deep Learning, Modelling, Algorithms, Pandas, NumPy, PyTorch, TensorFlow, ELT, ETL, AWS, Azure, Database, Data Engineer, Engineering, Development, Pipelines, GCPJob typePermanent 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 »

Exciting opportunity for a Machine Learning Manager to join an innovative start up who are developing a first of its kind medical device. They are looking for an experience Machine Learning engineer who has led teams in developing timeseries models and dealing with numerical data. Responsibilities: Implement machine … learning strategies for medical devices, focusing on model development, deployment, and data collection. Guide a team of data analysts and machine learning specialists to ensure the successful execution of AI projects. Collaborate with biomedical engineers, product designers, and other stakeholders to integrate machine learning techniques into medical … predict device-user interactions in the medical device domain. Design and conduct experiments and validation protocols to ensure the accuracy and reliability of machine learning models for medical devices. Ensure compliance with relevant regulatory guidelines and adhere to industry standards and best practices in medical device innovation. Stay updated more »

interim Head of Architecture to lead their technical efforts in the field of generative AI and Machine Learning. The ideal candidate will possess a deep understanding of advanced GenerativeAI architectures, frameworks, and algorithms, along with a proven track record of leading successful technical teams in the development of innovative … strategic leadership and guidance in the design and development of advanced GenAI architectures and solutions. Define and evolve the architecture of GenerativeAI and machine learning platforms, ensuring alignment with business objectives, scalability, and performance requirements. Stay abreast of the latest advancements in GenAI research and technology trends, and leverage … partners, to communicate technical vision, gather feedback, and drive alignment on strategic initiatives. Qualifications: Master's or Ph.D. in computer science, artificial intelligence, machine learning, or a related field. Experience in designing and implementing complex AI architectures, including deep learning, reinforcement learning, and other generative AI more »

targets and pertinent datasets. Conducting preliminary research to evaluate the feasibility and potential success of identified targets. Engineering and constructing sophisticated, production-ready machine learning algorithms integral to daily trading decisions and operations. Key Qualifications: Extensive expertise in implementing deep learning and advanced machine learning techniques more »

Lead Machine Learning Engineer Up to £115,000 + benefits London - 3 days a week This is a chance to join an E-commerce and retail-driven marketing agency to help deploy impactful models and work with cutting-edge technologies. They are looking for a Lead MLE to work … and deploying models. The Role: Your day-to-day responsibilities will include: Building, deploying and productionising segmentation, churn, and recommender system-based projects, alongside deep learning and neural networks to support core clients Part of a team of 12 reporting to the Head of Data Science Chance to more »

Lead Machine Learning Engineer Up to £95,000 + 10% bonus, car allowance and benefits West London - 1-2 days a month This is a chance to join an Telecomms company help build and deploy impactful models and work with cutting-edge technologies. They are looking for a Lead … and deploying models. The Role: Your day-to-day responsibilities will include: Building, deploying and productionising segmentation, churn, and recommender system-based projects, alongside deep learning and neural networks to support core internal projects Part of a team of 7 reporting to the Head of Data Science Chance more »

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 »

us a global employer of choice!We're a diverse team, uniting individuals of over 40 different nationalities and from varied backgrounds, with machine learning researchers and motor engineers collaborating together on a daily basis. We empower each team member to have tangible impact and grow their own scope … use input capture applications for our end users, to creating a state-of-the-art damage assessment engine, followed by an explainable, configurable, self-learning and human-centric decision-making and costing solution.We work hand-in-hand with engineering, product management and end product teams to turn our R … direct them, to research, develop, deploy, and maintain solutions that are deployed to Tractable’s global customer base. You should be willing to dive deep, move rapidly with a bias for action, and enable your teams to generate breakthroughs in science that can deliver pragmatic value for customers. You more »

high-risk, high-reward position. It involves a great deal of uncertainty, but for the right candidate, there is a huge upside potential for learning and exposure. If the above excites you, keep reading - we might be a fit! About Bench We’re on a mission to build the … new technologies and operate in highly unpredictable settings. Proven ability to design, develop, and deploy scalable full-stack applications using modern technologies. Expertise in deep learning methodologies, including model development, training, and optimisation using PyTorch and TensorFlow. Strong Candidates May Also Have Experience working with hardware - through a more »

and Imperial College London.Working hand-in-hand with laboratory teams at BioNTech, our RNA research group is advancing the state-of-the art in deep learning applied to RNA science. Our expertise is shared across the company to enable BioNTech to maintain their world leading position in the … knowledge. Our culture is highly collaborative and focuses on team success over individual achievement.Role ResponsibilitiesAdvance the state-of-the-art in RNA science using deep learning.Ensure the team maintains leading expertise including knowledge of emerging literature.Guide research agendas, planning, and interpretation of results.Present findings effectively to external and internal … stakeholders.Provide an expert reference on deep learning and how it may be applied to biological tasks.Undertake other activities in biological machine learning as required.Essential SkillsTrack record of successful self-directed deep learning research, for example in postdoctoral research or as a group leader. 3 or more »

AI/Python/Data scientist/Machine Learning Engineer/Neural Networks/Deep Learning/LLMs Role: Lead Data Scientist Location: Remote - Occasional Meetings in London (Client) Company: AI Analytics Start-Up Salary: up to £130,000 + Bonus Projects: Neural Networks, NLP, Machine Learning, Deep Learning Responsibilities Analyse raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Lead a small team of data scientist on Neural Networks LLMs (CNN … RNN), ML, & NLP NLP/AI/ML/Spark/Python/Data scientist/Machine Learning Engineer/OCR/Deep Learning Requirements Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) Experience with applied Neural Networks (CNN & RNN 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 »