151 to 175 of 204 Deep Learning Jobs in England

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. ...

applied machine learning. Hands-on experience with LLMs, RAG, semantic search, or agentic AI systems. Strong Python programming skills. Experience with ML fundamentals, deep learning concepts, embeddings, transformers, and LLM architectures. Experience using LangChain, LangGraph, LlamaIndex, AutoGen, MCP, or similar AI frameworks. Experience with vector databases such … analytics, or telecom network operations. Experience deploying AI services using Kubernetes, Docker, APIs, and cloud-native environments. Required Technical Skills Python. ML basics and deep learning. LLMs and transformers. LangChain, LangGraph, MCP, or similar frameworks. Vector databases and semantic search. Graph APIs and knowledge graphs. Data pipelines and data ...

model training. This isn’t traditional DevOps. It isn’t conventional MLOps. It’s a rare opportunity to sit at the intersection of machine learning, distributed systems, cloud infrastructure and robotics. What you’ll do Design and own our large‐scale AI training infrastructure. Scale distributed model training across … architecture, culture and technical direction of the company from day one. What we’re looking for Large‐scale distributed training. PyTorch and modern deep‐learning frameworks. Kubernetes, Slurm or GPU orchestration platforms. AWS and specialist GPU cloud providers. High‐performance computing and distributed systems. Training optimisation, memory management ...

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. ...

people are given the space to do it well. The Role They are looking to bring on an ML Researcher to join the machine learning team in London. You will own research directions end-to-end, from problem formulation through to production deployment, working across a range of computer … vision and deep learning disciplines. The expectation is to publish at top venues and ship at scale. There is also real scope to shape the research roadmap and mentor junior researchers as the team grows. Requirements PhD, or Master's with equivalent research experience, in Computer Vision, Machine ...

Level, etc.). Skilled in building computer vision solutions, with a focus on object detection and motion tracking. Knowledgeable in modern machine learning techniques, including convolutional neural networks (CNNs) and transformer models. Ideally, you'll have experience with tracking methods, including the use of Kalman filters. Aware of traditional … status. Keywords: Computer Vision Engineer/Machine Vision Engineer/Imaging Scientist/AI Engineer/Vision Systems Developer/Image Processing Engineer/Deep Learning Engineer/Optical Systems Engineer/Tracking Algorithm Specialist/Sensor Integration Engineer/R&D Engineer/ML Engineer/Algorithm ...

Engineering division in London to specialize in LLM fine-tuning, retrieval-augmented generation (RAG), and hosting private models. You will be responsible for tailoring deep learning models to specialized domain tasks. Key Responsibilities Fine-tune open-source models (Llama, Mistral, Qwen) for specific domain functions Optimize model deployment ...

Kingfisher is seeking a Machine Learning Engineer to join a high-performing engineering team. You will develop scalable ML systems, deploy models into production, and partner with engineering, product, and architecture to improve tooling and automation. You will apply classical ML techniques, NLP, and deep learning, with ...

J.P. MORGAN is seeking an NLP/LLM Scientist – Applied AI ML Lead to advance the Machine Learning Center of Excellence. You will tackle NLP, LLMs, and recommendation systems with deep learning methods. You will work with Business, Technology, Product, Legal, and Compliance to deploy robust ...

understand requirements and translate them into technical solutions Train and mentor junior engineers as we grow the UK team, fostering a culture of learning and improvement Stay updated with industry trends, emerging technologies, and best practices to enhance product development We’re looking for someone who has: Experience developing … autonomous vehicle solutions for aerospace and defense Experience with the end-to-end development cycle of deep learning models Expertise in subdomains such as modeling, input pipelines, evaluation, deployment, and model optimization 5+ years of experience building production software using modern software practices Fluency in C++, or fluency ...

Markets is a leading algorithmic trading firm which uses state‐of‐the‐art machine learning technology to produce price forecasts for over 50,000 financial instruments across equities, fixed income, currencies, commodities, and crypto. It uses those forecasts to trade on exchanges and alternative trading venues, and to offer … have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures. XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently containing over ...

understand requirements and translate them into technical solutions Train and mentor junior engineers as we grow the UK team, fostering a culture of learning and improvement Stay updated with industry trends, emerging technologies, and best practices to enhance product development We’re looking for someone who has: Experience developing … autonomous vehicle solutions for aerospace and defense Experience with the end‐to‐end development cycle of deep learning models Expertise in subdomains such as modeling, input pipelines, evaluation, deployment, and model optimization 5+ years of experience building production software using modern software practices Fluency in C++, or fluency ...

scale a national healthcare communication platform. As a Staff ML/AI Engineer, you'll operate across multiple product and platform teams – diving deep into selected ones to help them achieve great results with AI and ML. One key team you'll work closely with is our Triage Intelligence … product objectives into capabilities with group‐wide impact – and leading decisively when the path forward is unclear. You should apply if... You have deep expertise across a range of ML techniques (e.g. Transformer‐based NLP, Deep Learning, Tree‐based methods, Bayesian modelling) and the judgment to select ...

Wise’s FinCrime organisation, owning the full ML and AI foundation for financial crime detection. We're scaling into three dedicated pillars - Feature Platform, Learning Loop, and Risk Modelling. You'll sit in Risk Modelling, building the platform layer that makes scaling our detection capabilities possible. You’ll work … data scientist can use without writing deployment code Building model packaging and serving abstraction - a unified interface that handles multiple model types (classical ML, deep learning, emerging architectures) through a consistent API Implementing the model evaluation framework - standardised metrics, reproducible comparison, and automated validation gates Building model monitoring ...

leading global healthcare company in Greater London is seeking AI/ML Engineers to drive the development of machine learning models for scientific tasks. The ideal candidate will have a degree in a quantitative field and experience with deep learning frameworks like PyTorch or TensorFlow. Responsibilities include ...

designing ML algorithms in Python. Candidates with a Master's or PhD in Computer Science and 4+ years of relevant experience, particularly in deep learning and NLP, are encouraged to apply. The position offers competitive salary, equity, and hybrid working options. #J-18808-Ljbffr ...

tokenization, preferably in the context of audio or speech. Demonstrated ability to prototype quickly, test hypotheses, and iterate efficiently. Proven experience in training deep learning models end-to-end, from data preparation to evaluation. Strong general software engineering skills, enabling contributions to a large, shared research infrastructure. Nice ...

work better. You’ll report to the Head of AI Research and work closely with researchers covering genomics, computational biology, and large-scale deep learning. You’ll also collaborate with the broader platform engineering and data teams across the company. About You PhD in computer science, physics, mathematics ...

continuous release of Earth Observation (satellite) data and the emergence of Machine Learning methods open up new possibilities for understanding forests. These large datasets provide complementary information on 3D structure (GEDI lidar, BIOMASS P-band radar, NISAR L-band radar) and high spatiotemporal resolution (Sentinel‐1 C-band radar … inclusion of temporal components and newly available datasets in foundation models remains limited. There is also a need for accounting noise in Deep Learning models and quantifying uncertainty in real‐world applications. This PhD studentship (scholarship) leverages large‐scale Earth Observation data to evaluate and advance machine learning ...

PhysicsX, located in London, is seeking a Senior Machine Learning Software Engineer specialized in research. The role involves shaping strategy and developing machine learning solutions for real-world engineering problems, particularly in deep learning and probabilistic methods. Ideal candidates will have at least 4 years ...

workflows. You will work close to researchers, GPUs, training loops, data control systems, evals, inference stacks, and the infrastructure decisions that directly affect model learning and product quality. About us White Circle is an AI Safety company building the safety, reliability, and optimization layer for AI systems. … high throughput across the systems that matter: networking, memory, compute scheduling, data loading, storage, checkpointing, and I/O Investigate how infrastructure choices affect learning dynamics, eval quality, model behavior, and training stability – staying close to the state of the art in LLMs, RL, and post‐training Build infrastructure ...

embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster … offline models that improve data quality and coverage at scale. You should apply if You’ve built and shipped CV-focused deep learning systems and can demonstrate strong applied ML engineering (not research-only). You have experience with 3D perception concepts or pipelines (e.g., LiDAR, multi-view ...

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 ...

kernel development, lower‐level PyTorch/JAX/XLA development, CUDA Graphs, FPGA/ASIC experience. At least two years of work experience building deep learning systems in any domain (robotics, biology, chemistry, physics, audio, video, recommendations, etc.). Experience translating methods between application areas is highly valued. ...

will have over 5 years of experience in AI systems, proficiency in Python and frameworks like TensorFlow, as well as expertise in NLP and deep learning. This position offers generous benefits and a hybrid work model. #J-18808-Ljbffr ...