151 to 175 of 185 Deep Learning Jobs in London

challenges like demand forecasting, personalisation, and customer segmentation Translate business problems into data science use cases and deliver measurable outcomes Apply clustering, classification, regression, time series modelling, NLP, and deep learning. Develop recommendation engines and leverage third-party data enhancements. Collaborate with stakeholders to translate business challenges into data-driven solutions Reporting back and presenting to non-technical clients More ❯

challenges like demand forecasting, personalisation, and customer segmentation Translate business problems into data science use cases and deliver measurable outcomes Apply clustering, classification, regression, time series modelling, NLP, and deep learning. Develop recommendation engines and leverage third-party data enhancements. Collaborate with stakeholders to translate business challenges into data-driven solutions Reporting back and presenting to non-technical clients More ❯

the next generation of applications. This is why we started Encord. We are a talented and ambitious team of 75+, working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other top Bay Area leaders … tool in the market by our customers. The Role As a Human Data Operations Strategist, you will play a critical role in managing and optimizing data annotation and machine learning workflows for our clients. You will work closely with cross-functional teams, including clients, annotation specialists, and machine learning engineers, to ensure high-quality data is available for … is perfect for individuals with a passion for AI, data operations, and solving real-world problems. Your Responsibilities: Project Leadership - Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams. Data Quality Optimization - Ensure the highest standards of data quality by designing and refining annotation processes, auditing results, and. More ❯

per week) Company: A leading marketing and analytics agency is seeking a Lead Data Scientist to develop and deploy end-to-end AI solutions. You'll work on machine learning models for retention, price optimisation, recommendation engines, NLP, and Computer Vision. Responsibilities: Design, develop, and productionize machine learning models across various applications. Work with Python (ideally production-level … code) and other tools like SQL, Spark, and Databricks. Apply clustering, classification, regression, time series modelling, NLP, and deep learning. Develop recommendation engines and leverage third-party data enhancements. Implement MLOps/DevOps practices in cloud environments (AWS, Azure, GCP). Ensure explainability, bias detection, and algorithmic fairness in models. Collaborate with stakeholders to translate business challenges into data More ❯

per week) Company: A leading marketing and analytics agency is seeking a Lead Data Scientist to develop and deploy end-to-end AI solutions. You'll work on machine learning models for retention, price optimisation, recommendation engines, NLP, and Computer Vision. Responsibilities: Design, develop, and productionize machine learning models across various applications. Work with Python (ideally production-level … code) and other tools like SQL, Spark, and Databricks. Apply clustering, classification, regression, time series modelling, NLP, and deep learning. Develop recommendation engines and leverage third-party data enhancements. Implement MLOps/DevOps practices in cloud environments (AWS, Azure, GCP). Ensure explainability, bias detection, and algorithmic fairness in models. Collaborate with stakeholders to translate business challenges into data More ❯

3+ years of software development experience. Experience with cloud services and architectures (e.g., AWS, Azure). Experience with version control, reproducibility, and CI/CD pipelines for deploying machine learning models. Excellent written documentation skills to document code, architectures, and experiments. Experience with ML model monitoring systems. Experience with ML training and data pipelines and working with distributed systems. … Proficiency with modern deep learning libraries and frameworks (PyTorch, Lightning, Ray). Preferred Qualifications Experience owning a product from development through monitoring and incident response. Knowledge of the design, manufacturing, AEC, or media & entertainment industries. Experience with Autodesk or similar products (CAD, CAE, CAM, etc.). Learn More About Autodesk Welcome to Autodesk! Amazing things are created every More ❯

3+ years of software development experience. Experience with cloud services and architectures (e.g., AWS, Azure). Experience with version control, reproducibility, and CI/CD pipelines for deploying machine learning models. Excellent written documentation skills to document code, architectures, and experiments. Experience with ML model monitoring systems. Experience with ML training and data pipelines and working with distributed systems. … Proficiency with modern deep learning libraries and frameworks (PyTorch, Lightning, Ray). Preferred Qualifications Experience owning a product from development through monitoring and incident response. Knowledge of the design, manufacturing, AEC, or media & entertainment industries. Experience with Autodesk or similar products (CAD, CAE, CAM, etc.). #LI-JK3 Learn More About Autodesk Welcome to Autodesk! Amazing things are More ❯

unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Responsibilities Design, train, and deploy large deep learning models that can leverage the vast amount of labeled and unlabeled data from a fleet of million vehicles Improve ecosystem for training infrastructure and deployment pipeline to … accelerate model iteration and improve performance. Qualifications PhD in CS/CE/EE, or equivalent, in industry experience Deep knowledge of PyTorch Experience with Cuda or Triton language for writing custom ops Knowledge of model training framework (e.g. PyTorch Lightning) In-depth knowledge of transformer architecture and ways to accelerate the training and inference of transformer models Experience More ❯

to join our expanding team. Our current technology stack includes Python, C++, TensorRT-LLM, and Kubernetes. This role offers the opportunity to work on large-scale deployment of machine learning models for real-time inference. Responsibilities Develop APIs for AI inference used by internal and external clients Benchmark and optimize bottlenecks in our inference stack Enhance system reliability and … observability, and manage system outages Research and implement optimizations for LLM inference Qualifications Experience with ML systems and deep learning frameworks such as PyTorch, TensorFlow, ONNX Knowledge of LLM architectures and inference optimization techniques (e.g., batching, quantization) Experience deploying scalable, reliable, real-time model serving systems (Optional) GPU architecture understanding or CUDA programming experience The compensation range for More ❯

differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more. Ready to join us? Our Applied Machine Learning (AML) team's vision is to extract valuable insights from video and deliver them to coaches, athletes and fans at the perfect moment. We build new experiences and power … automation across Hudl, using cutting-edge computer vision and deep learning technologies, deployed both in the cloud and on our Focus cameras at the edge. As a Staff Engineer, you'll provide technical leadership for Engineers across the AML squads to deliver AI/ML solutions at scale, shaping the future of sports technology. The priorities for this … deployment and monitoring. You also have extensive experience in several of the following areas: GPU acceleration; inference at scale on both edge devices and cloud; real-time systems; active-learning; and MLOps. Communication skills. You can easily and clearly express yourself verbally and in a written format. You're able to convey complex technical concepts and trade-offs to More ❯

allowance, and enhanced family and sick leave policies. About nPlan Our purpose is to inspire the world to forecast correctly and empower it to tackle risk, powered by our deep learning technology and its unique ability to forecast the outcomes of construction projects. We're on a mission to change how construction projects are planned, managed and executed … team, and come from all backgrounds and countries. We are able to offer Visa sponsorship and contribute to relocation costs for this role. Fantastic benefits package for Health & Wellbeing, Learning & Development, family leave, team meals and more. We are committed to addressing the diversity problem in the tech industry, and that starts with making sure we have a diverse More ❯

sports data and audiovisual services for bookmakers. Over the course of the last years Sportradar significantly expanded its range of products & services by acquiring Vaix.ai , the industry leader for Deep Learning AI for Personalization and CRM, first to market bringing Netflix and Spotify to Sports and iGaming. Receiving and training on hundreds of Gigabytes/tens of millions … rows of data per day, Vaix is building a wide range of Machine Learning solutions, from Recommendation engines, human behavior predictive models, to Natural Language Processing. We process hundreds of API requests per second from operators and respond back with latency in milliseconds. Vaix is seeking an experienced and passionate Business Development AI with deep gaming industry expertise More ❯

Principal AI Engineer to drive the design and deployment of robust, explainable, production-grade AI systems. You'll collaborate across technical teams to deliver solutions and leverage advanced ML, deep learning, and statistical methods. Your work will span from prototyping to deploying AI services in production with a strong focus on performance, explainability, and cost-efficiency. What You … ll Bring: Deep applied experience in ML/DL , with bonus points for work in threat detection , phishing , or abuse detection Proven ability to design and deploy full-stack AI pipelines in production Strong experience in backend engineering , ideally with Go and ML frameworks like PyTorch or TensorFlow Familiarity with MLOps , cloud infrastructure (AWS) , Kubernetes , and Terraform Experience evaluating More ❯

researchers, engineers, and annotators to create and evaluate data for post-training LLMs, ensuring our products are of the highest quality and performance. Engage with the latest AI and deep learning research, staying up to date with leading conferences such as NeurIPS, ICLR, and AAAI. Leverage product data to understand usage patterns and identify areas for improvement, ensuring … be a good fit if you have: Extremely strong software engineering skills. Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR. Deep experience in building and leading a product-centric organisation. Direct experience working as part of a team building Large Language Models. Released multiple features with several iterations. Strong track More ❯

Familiarity with tools for working with Large Language Models via API (e.g. OpenAI, LangChain, LlamaIndex), or in a local context (e.g. HuggingFace transformers). Experience with natural language processing, deep learning and generative AI including prompt engineering. Experience supporting and enabling technical teams via upskilling, mentoring and conflict resolution. Experience designing CI/CD processes to support rapid … you against these behaviours during the selection process: Leadership Communicating and Influencing Delivering at Pace Technical skills We'll assess you against these technical skills during the selection process: Learning and development tailored to your role. An environment with flexible working options. A culture encouraging inclusion and diversity. ACivil Service Pension which provides an attractive pension, benefits for dependants More ❯

based startup specializing in AI security. We've spun-out from a leading UK university, and our mission is to secure the future of AI against cyber attacks targeting Deep Learning, GenAI, and LLMs. This is an unsolved challenge globally, and we are among the world's first to offer a solution to this rapidly growing problem. We … and close customer collaboration. Areable to work onsite from our lovely office in Canary Wharf the majority of the time. Benefits: Competitive salary 33 days vacation Flexible working options Learning & development budget Company equity Our Selection Process: An initial callto help youget toknow us better and to share more information about Mindgard and the role. A challenge related to More ❯

deliver new experiences and valuable insights to our coaches, athletes and fans. You'll help us build and deploy game-changing initiatives that use cutting-edge computer-vision and deep learning at scale to shape the future of sports at every level, from professional teams to local high schools. As a Senior MLOps Engineer, your priorities will include More ❯

deliver new experiences and valuable insights to our coaches, athletes and fans. You'll help us build and deploy game-changing initiatives that use cutting-edge computer-vision and deep learning at scale to shape the future of sports at every level, from professional teams to local high schools. As a Senior MLOps Engineer, your priorities will include More ❯

processes are still catching up. That's why we started Encord. We are a talented and ambitious team of 75+, working at the cutting edge of computer vision and deep learning. Backed by $30M in Series B funding from top investors like CRV and Y Combinator, we're one of the fastest-growing companies in our space. We have … you. Tech stack We are technology agnostic at Encord. We are not looking for you to have experience in all these technologies. As long as you're open to learning, please apply. We currently use Python and Typescript across our codebase. Prior experience is appreciated but not required. Below is a detailed breakdown of all the technologies we use. … Backend: Python - Frontend: Typescript and React - Kubernetes for deployment - GCP for underlying infrastructure - Machine Learning: PyTorch, CUDA, Ray We encourage people from all backgrounds, cultures and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who are passionate, eager to learn. What We Offer - Competitive salary, commission and equity More ❯

optimized. You’d lead the charge on computer vision systems—from R&D to production-ready deployment—alongside a sharp engineering and product team. If you're excited by deep learning, real-time processing, and building 0–1 systems with impact, this is worth a look. 📍 Location: Remote (with quarterly London meetups) 💼 Mission: Redefining how performance is measured More ❯

optimized. You’d lead the charge on computer vision systems—from R&D to production-ready deployment—alongside a sharp engineering and product team. If you're excited by deep learning, real-time processing, and building 0–1 systems with impact, this is worth a look. 📍 Location: Remote (with quarterly London meetups) 💼 Mission: Redefining how performance is measured More ❯

most capable AI frontier models, pushing the boundaries of scale, performance and product deployment. The Pre-Training team at Microsoft AI tackles some of the most challenging problems in deep learning at scale. As a team, we will deliver one of the best foundation models in the world, forming the foundation of many initiatives across Microsoft AI. We … AI and its deployment. Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI. Proven ability to collaborate and contribute to a positive, inclusive work environment More ❯

need a proven career path in software engineering building great products that delight customers. Our company is made up of passionate people with expertise ranging from oil refining to deep learning but we know that there's a lot we don't know, and we're hoping you can help fill that gap. About the Role The Tech … Market What we're offering CarbonChainer's receive a ton of great benefits, including: 26 days of annual leave Home office set up allowance of £500 £2,000 annual learning allowance Generous parental leave policy Team lunches once a week in the office Subsidized gym classes, office gym, and cycle to work scheme. We're striving to build a More ❯

Key Responsibilities: Perform AI-specific risk assessments to ensure regulatory compliance. Evaluate AI solutions for prohibited use cases and material business impact. Conduct technical security reviews of LLMs and deep learning models. Support decision-making on medium/high-risk projects via governance escalation. Collaborate with AI Governance and local risk management teams. Requirements: Strong IT and cybersecurity More ❯

industries like healthcare, robotics, and autonomous vehicles. Backed by leading investors including CRV, Y Combinator, and Next47, we're a team of 75+ working at the cutting edge of deep learning and computer vision. We're growing fast - and to power that growth, we're looking for a smart, driven Revenue Operations Manager to build and scale the … in a hypergrowth business - Strong in-person culture - most of our team is in the office 3-5 days a week - 25 days annual leave + public holidays - Annual learning & development budget - Company lunches twice a week - Monthly socials and bi-annual off-sites £80,000 - £95,000 a year More ❯