51 to 75 of 81 Deep Learning Jobs in the UK excluding London

Products at Kainos, you will play a critical role in bridging the gap between data science and software engineering to productionize AI and machine learning solutions. You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable AI solutions that enhance our Workday Products … technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders. Desirable Experience: MSc or PhD in Computer Science, Machine Learning, Software Engineering, or a related field. Familiarity with Workday APIs, data structures, and integration patterns. Experience designing and implementing generative AI solutions using large ...

engineers and data scientists through technical leadership, mentoring and design reviews. • Raise engineering standards across quality, reliability, scalability and production readiness. • Build credibility through deep technical expertise rather than line management responsibility. What you'll bring: Essential criteria: • Deep expertise in Computer Vision, Deep Learning and production machine learning systems. • Experience operating at Lead, Staff or Principal Engineer level, with a track record of technical ownership and influence. • Proven ability to take complex AI systems from concept to scalable, reliable production services. • Strong judgement across model design, system architecture, engineering trade-offs ...

core of the role is hands on delivery. Key Responsibilities Model ownership from start to finish: Design, build, and deploy production grade machine learning models, from problem framing and experimentation through to live deployment and monitoring. Technical depth: Apply strong statistical modelling, ML, and (where relevant) NLP/… Contribute to how the wider data science function approaches tooling, methodology, and model governance. Technical Environment Languages/Tools: Python (NumPy, Pandas, Scikit learn), deep learning frameworks (PyTorch/TensorFlow), SQL. MLOps: MLflow, cloud ML platforms (Azure ML, AWS SageMaker, or Databricks). Focus areas: Predictive modelling, recommender ...

discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using ...

discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using ...

Engineer within the Workday Products at Kainos, you will bridge the gap between data science and software engineering to productionize AI and machine learning solutions. Working closely with data scientists, software engineers, and product teams, you will deliver robust, scalable AI solutions that enhance our Workday Products offerings. Your … requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders. Desirable Experience: BSc, MSc, or PhD in Computer Science, Machine Learning, Software Engineering, or a related field. Familiarity with Workday APIs, data structures, and integration patterns. Experience designing and implementing generative AI solutions using large ...

working from home and our offices. Talk to us about how we can best support you! We are looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science … group priorities. Lead the implementation of data science projects and data science approaches to support commercial goals Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working Collaborate with tech, product and data teams to develop the data platforms that allow us to apply data ...

part of something bigger. As an Associate AI Engineer within Kainos' Workday Products division, you will support the team in productionising AI and machine learning solutions, working closely with and under the guidance of senior engineers to help integrate AI models into production systems. You will work closely with … roles. Good interpersonal skills, with enthusiasm for collaborating with cross-functional teams and communicating technical ideas clearly. Desirable Experience: BSc in Computer Science, Machine Learning, Software Engineering, or a related field Personal, academic, or internship projects demonstrating an interest in AI/ML productionisation. Familiarity with Workday APIs, data ...

will have the opportunity to: Design and implement robust data pipelines and ML workflows using Python, SQL, Spark and Databricks. Develop and deploy machine learning models, including NLP, deep learning and agentic AI, into production environments. Integrate data from diverse sources through both streaming and batch ingestion … will gain from working here: Competitive salary 25 days annual leave Private medical Career progression Extensive Training If youre passionate about data, machine learning and emerging AI technologies and want to work on challenging projects where your skills can make a genuine impact, wed love to hear from you. ...

reliability of 99.9999% and beyond. The Work itself: Build Agentic Solutions using world's most advanced LLM models from Anthropic, OpenAI and others Build Deep Learning solutions using AI/ML Platforms for real time transactions at a scale of 100K+ TPS and for peta bytes of Data. … technology, and new operations flows in diverse agile squads Opportunities to make a difference on a global or local scale through mentorship and continued learning and experiments. Essential Functions: Demonstrates in-depth technical proficiency to accurately interpret and address project requirements. Identifies and contributes to the development and solution ...

your penultimate/final year of education. Experience in one or more research areas; natural language understanding/processing, computer vision, LLMs, machine learning, algorithmic foundations of optimization, data mining, machine intelligence (Artificial Intelligence), AI/ML algorithms, deep learning or image processing, multimodal, multilingual and reinforcement … extend and improve on Google's product offering. Contribute to a wide variety of projects utilising natural language processing, artificial intelligence, data compression, machine learning, and search technologies. Please complete your application before 23rd October 2026. We encourage you to apply as early as possible as we review applications ...

environment. Experience preparing written scientific reports and delivering oral presentations. Desirable Skills PhD in relevant disciplines or equivalent experience (e.Software Engineering,Computational Biology,Machine Learning, Data Science, or related fields). Experience with advanced deep learning model families (graph neural networks, transformers, probabilistic models) applied to biological … setting, with knowledge of discovery-stage decision-making. What You Will Gain You willoperateat thecutting edgeof oncology discovery, combining AI and data engineering with deep immunology to accelerate target discovery, mechanism-of-actionstudiesand candidate selection.The roleprovidesan opportunity to applycutting-edgeAI approaches to large-scale biological and translational datasets, working ...

Experience preparing written scientific reports and delivering oral presentations. Desirable Skills PhD in relevant disciplines or equivalent experience (e.g. Software Engineering, Computational Biology, Machine Learning, Data Science, or related fields). Experience with advanced deep learning model families (graph neural networks, transformers, probabilistic models) applied to biological … discovery‐stage decision‐making. What You Will Gain You will operate at the cutting edge of oncology discovery, combining AI and data engineering with deep immunology to accelerate target discovery, mechanism‐of‐action studies and candidate selection. The role provides an opportunity to apply cutting‐edge AI approaches ...

Experience preparing written scientific reports and delivering oral presentations. Desirable Skills PhD in relevant disciplines or equivalent experience (e.g. Software Engineering, Computational Biology, Machine Learning, Data Science, or related fields). Experience with advanced deep learning model families (graph neural networks, transformers, probabilistic models) applied to biological … discovery-stage decision-making. What You Will Gain You will operate at the cutting edge of oncology discovery, combining AI and data engineering with deep immunology to accelerate target discovery, mechanism-of-action studies and candidate selection. The role provides an opportunity to apply cutting-edge AI approaches ...

This is an opportunity to make a significant impact across one of the largest retail groups in Europe. We are looking for a Machine Learning Engineer who will support the delivery and operationalisation of advanced artificial intelligence solutions created by our Group AI team. Your work will help shape … products, services and decision making across our retail brands. You will work as part of a high performing engineering team to build scalable machine learning systems, ensuring models are robust, efficient and suitable for a live environment. You will collaborate with engineering, product and architecture colleagues to improve tools ...

capabilities, and skills Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc Robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals as well as in application Experience in tackling real world data science problems, end-to-end from prototype … production, using Python Excellent communication skills (both verbal and written) and the ability to present findings to a non-technical audience Passion for learning, sharing knowledge, building collaborations, and getting things done Preferred qualifications, capabilities, and skills Participation in KDD/Kaggle competition, Hackathons or contribution to GitHub ...

looking for a talented Senior Algorithms Engineer to join an innovative engineering team developing advanced machine learning and computer vision solutions for complex, real-world applications. This is an exciting opportunity for an experienced engineer to work on challenging perception and intelligence problems, applying techniques across AI, computer vision … technically challenging projects, influence future development activities, and support the growth of engineering capability through collaboration and mentoring. Key Responsibilities Develop and optimise machine learning and computer vision algorithms for real-world applications. Investigate complex technical challenges, designing experiments and approaches to identify effective solutions. Analyse datasets, model performance ...

opportunity to work at the heart of data science, research and public policy. Advanced Analytics is hiring a Senior Data Scientist to develop machine learning (ML) and Artificial Intelligence (AI) solutions, with a focus on robust prototyping. We have pioneered the application of new analytical approaches in the Bank … England, such as generative AI, machine learning, natural language processing, agent-based models, network analytics, and randomised control trials. We’re looking for someone with ML/AI expertise to help us continue pushing the organisation’s analytical frontier to inform policymaking. DAT is leading the transformation ...

techniques Experience developing and deploying cloud‐based applications and services using modern cloud platforms and containerization technologies Experience applying AI/ML techniques, including deep learning or generative AI, to spectrum monitoring, signal analysis, automation, or related RF workflows Careers Privacy Statement. Keysight is an Equal Opportunity Employer. ...

turn complex data into actionable insights and deliver innovative solutions that drive business value and strategic decision‐making. You will develop data services, apply deep learning and ML, perform data analysis, and collaborate across teams to implement data‐driven improvements within the insurance domain. The role requires strong ...

technical concepts clearly Proven experience with ROS or ROS2 and/or DDS‐based systems Sensor fusion experience (LIDAR, RADAR, cameras, IMUs) Knowledge of deep‐learning‐based perception systems Experience using simulation tools such as Gazebo, CARLA, or Unreal Engine Familiarity with embedded or real‐time systems Experience ...

core software stack into research projects, and help researchers amplify their impact through publications, conference presentations, and technical content. Advocate for accelerated computing and Deep Learning, and deliver hands-on trainings, workshops, lectures, and demonstrations across NVIDIA's platforms, and mentor power users to become NVIDIA champions. Track … emerging research trends and turn gaps between researcher needs and NVIDIA's o erings into prototypical solutions and direct feedback to NVIDIA Engineering. Maintain deep expertise in your domain while staying versatile across NVIDIA's full platform: GPUs, CPUs, networking, and softwareWhat we need to see: A graduate degree ...

NVIDIA is well positioned as the 'AI Computing Company', our GPUs being the brains that power modern Deep Learning software frameworks, accelerated analytics, modern data centers, and driving autonomous vehicles. We are looking for a Senior Software QA Test Development Engineer to join in the mission of crafting … Strong programming skills in at least one modern language used for test engineering, plus the ability to write clean, maintainable, and well-tested code. Deep practical experience designing agentic end to end SWQA workflow, automation frameworks—not merely extending existing test scripts. Strong Linux expertise and proven experience testing ...

invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars ...

operating agent-based automation for CI, QA, or code-generation workflows. Background in Rust or another systems language; interest in ML/applied deep learning. Contributions to open-source Python or CLI tooling. Additionally, this position is eligible for benefits including, but not limited to, medical, dental, vision, retirement ...