226 to 250 of 287 Deep Learning Jobs in the UK

data scientists through both structured mentoring and hands-on project guidance Represent the business externally via speaking engagements, roundtables, open-source contributions, or client training sessions Contribute to internal learning through teaching and mentoring on in-house data science programs Work with secure infrastructure and advanced tooling to deliver production-ready, scalable AI solutions What We’re Looking For … Strong Python programming skills, with the ability to write production-grade code Proficiency in core data science libraries (e.g. NumPy, Pandas, Scikit-learn) and familiarity with at least one deep learning framework (e.g. TensorFlow, PyTorch) A solid understanding of the full range of data science techniques, including supervised and unsupervised learning, Bayesian methods, NLP, time-series analysis More ❯

data scientists through both structured mentoring and hands-on project guidance Represent the business externally via speaking engagements, roundtables, open-source contributions, or client training sessions Contribute to internal learning through teaching and mentoring on in-house data science programs Work with secure infrastructure and advanced tooling to deliver production-ready, scalable AI solutions What We’re Looking For … Strong Python programming skills, with the ability to write production-grade code Proficiency in core data science libraries (e.g. NumPy, Pandas, Scikit-learn) and familiarity with at least one deep learning framework (e.g. TensorFlow, PyTorch) A solid understanding of the full range of data science techniques, including supervised and unsupervised learning, Bayesian methods, NLP, time-series analysis More ❯

data scientists through both structured mentoring and hands-on project guidance Represent the business externally via speaking engagements, roundtables, open-source contributions, or client training sessions Contribute to internal learning through teaching and mentoring on in-house data science programs Work with secure infrastructure and advanced tooling to deliver production-ready, scalable AI solutions What We’re Looking For … Strong Python programming skills, with the ability to write production-grade code Proficiency in core data science libraries (e.g. NumPy, Pandas, Scikit-learn) and familiarity with at least one deep learning framework (e.g. TensorFlow, PyTorch) A solid understanding of the full range of data science techniques, including supervised and unsupervised learning, Bayesian methods, NLP, time-series analysis More ❯

platforms. What We're Looking For Senior-level experience in data science or a quantitative academic field. Strong programming skills, with the ability to quickly become fluent in Python. Deep knowledge of core data science libraries (NumPy, Pandas, Scikit-Learn) and at least one deep learning framework (TensorFlow, PyTorch, or similar). High mathematical and statistical competence More ❯

Data Scientist in a commercial environment. A background leading Data Science teams in an eCommerce or conversion rate optimisation-focused environment is a plus. Hands-on experience with Machine & Deep Learning, AI and Neural Networks tools including Python, Spark, Tensor Flow. Competencies across core programming language including Python, Java, C/C++, R. That you can work in 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 ❯

to protect sensitive data and ensure secure access to AI services. Contribute to design reviews, code reviews, and architectural discussions to ensure engineering excellence. Mentor junior developers, encourage continuous learning, and contribute to a culture of innovation. Work with multiple teams to create AI solutions, which include AI model deployment, training, and AI tooling development. AI & Cloud Expertise Experience … tool calling. Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A). Strong knowledge or experience in working with various ML algorithms (regression, classification, clustering, deep learning) Knowledge of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act), and commitment to responsible AI development. Fluent in developing code using AI Tools such … challenges and propose scalable solutions. Experience working in Agile teams and collaborating across global R&D locations Demonstrated ability to mentor junior team members fostering a culture of continuous learning and innovation Demonstrated experience with AI frameworks, tools and Python R&D at AVEVA Our global team of 2000+ developers work on an incredibly diverse portfolio of over More ❯

to protect sensitive data and ensure secure access to AI services. Contribute to design reviews, code reviews, and architectural discussions to ensure engineering excellence. Mentor junior developers, encourage continuous learning, and contribute to a culture of innovation. Work with multiple teams to create AI solutions, which include AI model deployment, training, and AI tooling development. AI & Cloud Expertise Experience … tool calling. Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A). Strong knowledge or experience in working with various ML algorithms (regression, classification, clustering, deep learning) Knowledge of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act), and commitment to responsible AI development. Fluent in developing code using AI Tools such … challenges and propose scalable solutions. Experience working in Agile teams and collaborating across global R&D locations Demonstrated ability to mentor junior team members fostering a culture of continuous learning and innovation Demonstrated experience with AI frameworks, tools and Python R&D at AVEVA Our global team of 2000+ developers work on an incredibly diverse portfolio of over More ❯

span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: The Data & AI team is … partners to develop your career and the solutions we deliver for our clients. As a Customer AI Developer Specialist, you will: Play a key part in delivering impactful Machine Learning (ML) and Generative AI solutions across a variety of industries and use cases. From solving complex business problems to deploying scalable AI models, you'll operate at the intersection … of data science, technology, and business strategy. Key Responsibilities Solve business challenges using advanced ML techniques such as deep learning and quantitative analytics Design and run experiments with generative AI models across text, images, audio, and video Consult on and implement algorithms for content generation Define strategies to embed, scale, and optimize Machine Learning (ML) models in More ❯

with a strong background in AI and industrial inspection. If you are innovative, detail-oriented, and thrive in a collaborative environment, we encourage you to apply. Experience in machine learning, computer vision, and deep learning is highly valued. If you are driven to make a meaningful impact through AI innovation, we want to hear from you. More ❯

is growing fast, with several programs in in vivo optimization. We're a team of 65+ based in Paris and London, we bring together chemists, physicists, engineers, and machine learning experts to push the boundaries of what's possible in early-stage drug discovery. The Role As a Scientific Software Engineer in the product team supporting the daily activities … of scientists (physics, ML, deep learning) producing predictors and prediction workflows,you'll contribute to scaling the scientific logic and software that connect Aqemia's predictive models into advanced drug discovery workflows. You'll build the engine that enables large-scale computation and seamless data transformation. You'll work at the interface of cheminformatics, software engineering, and platform More ❯

experience - Proficient programming skills in C or C++ - Demonstrated experience developing AI solutions for embedded systems PREFERRED QUALIFICATIONS - Bachelor's degree in computer science or equivalent - Experience with machine learning and AI model development - Experience with computer vision and deep learning frameworks - Understanding of cloud service architectures - Degree in Computer Science or related technical field - Ability to 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 ❯

up of software engineers and AI scientists. Offering development, a fast-paced and impactful environment. Key Responsibilities: Design and develop high-performance C++ and Python code Port and optimise deep learning models for deployment on edge devices Work with tools such as Nvidia DeepStream and Triton Inference Server Collaborate with international teams including software developers and AI researchers. More ❯

We have 1 position open in the broad areas of Machine Learning and Computer Vision with a focus on Vision and Language. The positions are part of the Future Interaction Research Programme. Our topics of interest include but are not limited to:Contrastively-trained and auto-regressive Vision & Language (e.g. CLIP, BLIP).Visual LLMs (e.g. LLaVA). Generative Models … product and engineering teams for the purpose of technology transfer. Key Skills Required: Research experience in the fields of Computer Vision and/or Machine Learning.Familiarity with fast prototyping Deep Learning frameworks such as PyTorch.A track record of publishing at top-tier venues (e.g. CVPR, ECCV, ICCV, ICLR, NeurIPS, EMNLP, ACL, ICML, TPAMI and IJCV).Ability to communicate More ❯

customer experience, and operational efficiency.Responsibilities include managing all stages of AI initiatives, selecting appropriate methodologies, and collaborating with business leaders. Lead ML engineers and data scientists in developing advanced deep learning and Generative AI models. Qualifications 15+ years leading AI teams with hands-on impact - Team sizes 15+. Expertise in Generative AI, LLMs, NLP, and deep learning. More ❯

We have 1 position open in the broad areas of Machine Learning and Computer Vision with a focus on Vision and Language. The positions are part of the Future Interaction Research Programme. Our topics of interest include but are not limited to: Contrastively-trained and auto-regressive Vision & Language (e.g. CLIP, BLIP). Visual LLMs (e.g. LLaVA). Generative … for the purpose of technology transfer. Skills and Qualifications Key Skills Required: Research experience in the fields of Computer Vision and/or Machine Learning. Familiarity with fast prototyping Deep Learning frameworks such as PyTorch. A track record of publishing at top-tier venues (e.g. CVPR, ECCV, ICCV, ICLR, NeurIPS, EMNLP, ACL, ICML, TPAMI and IJCV). Ability More ❯

Research Fellow in Machine Learning for African Weather Prediction This role will be based on the university campus, with scope for it to be undertaken in a hybrid manner. We are also open to discussing flexible working arrangements. Are you a Computer Scientist looking to apply your expertise to real-world weather forecasting challenges in Africa? Machine-learning has the potential to revolutionise weather prediction for and in Africa, and we are seeking a machine-learning specialist ready to embrace challenges in weather prediction, with the aim of creating operational systems benefitting millions of people across Africa. The Cumulus project is a consortium of UK and African partners funded by the Gates Foundation, which aims to … make a breakthrough in the application of machine-learning forecasting methods for West African agriculture. The project is led by the UK's Alan Turing Institute, with partners in Senegal and Ghana, and all partners will collaborate closely. We will also be part of an over-arching project - Nimbus - linking with East African teams and other international specialists. Within More ❯

connect with me on LinkedIn, just search Dominic Barbet. I look forward to hearing from you. DATA SCIENTIST KEY SKILLS: PRINCIPAL DATA SCIENTIST/LEAD DATA SCIENTIST/MACHINE LEARNING/ML/NLP/NATURAL LANGUAGE PROCESSING/DEEP LEARNING/DATA SCIENCE/LSTM/LONG SHORT TERM MEMORY/CNN/COGNETIVE NEURAL NETWORKS … CLOUD INFRASTRUCTURE/ARTIFICIAL INTELLIGENCE/INNOVATION/SECURITY CLEARANCE/DV CLEARED/SC CLEARED/SC CLEARANCE/SECURITY CLEARANCE/DV CLEARANCE/DEVELOPPED VETTING/DEEP VETTING/DEVELOPPED VETTED 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 ❯

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 ❯

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 ❯

and play a significant role in developing next-generation core algorithms of the company. As our Research Scientist, you will help design, implement, and validate new computational and machine learning frameworks. You will work alongside our talented team of scientists and engineers to develop prototype and clinical software. In particular, you will: Shape our real-time surgical guidance technology … by developing state-of-the-art computational and machine learning methods for hyperspectral imaging data. Design and implement algorithms for hyperspectral image data processing, from low-level image reconstruction to deep learning-based tissue property estimation and semantic segmentation tasks to stereo vision reconstruction for multi-view surgical guidance. Contribute to the dissemination through patenting and clinical … a commercial medical device, we are excited to now place our patented technology into the hands of surgeons. We are building our company at the intersection of surgery, machine learning and interventional image computing for optical systems to increase surgical precision and patient safety. We are backed by a highly experienced syndicate of European and American HealthTech investors, including 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 ❯

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 ❯