51 to 72 of 72 Deep Learning Jobs in the UK

will change lives. Including your own. The Impact You’ll Make You will lead a team working to build, scale, and optimize the machine learning infrastructure that powers Recursion's drug discovery platform. From model training pipelines to production deployment systems, to agent infrastructure and Large Language Models … engineers to train, deploy, and monitor models across Recursion's massive datasets. With billions of compounds, 30+ petabytes of experimental data, and complex deep learning workloads, your team enables everything from automated compound screening models to clinical trial prediction systems. You will work closely with researchers ...

technologies when needed. Experience with hardware devices or sensors. Any experience with embedded systems, mobile OS or computer networking would be beneficial. Experience with deep-learning frameworks (TensorFlow or PyTorch) would be desirable. Exposure to computational statistics, algorithm development or machine learning optimisation would be a bonus. … develop your skills and knowledge with like-minded engineers. Keywords: Python, PyTorch, TensorFlow, Sensors, Embedded Systems, Hardware Interface, Mobile OS, Algorithms, Statistics, Machine Learning, Defence, Security Clearance, Start Up Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact ...

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 ...

production, regularly working on prototypes with a short turnaround into customer-facing production. You will work alongside world‐class researchers in computer vision, machine learning, graphics, and robotics to develop new approaches for large-scale spatial understanding, localization, reconstruction, scene understanding, and geospatial foundation models. What … Conduct original research in computer vision, machine learning, and spatial AI. Design, implement, and evaluate novel algorithms for: 3D reconstruction Neural scene representations 3D Gaussian Splatting Geometric deep learning Structure-from-Motion (SfM) Feed-forward models Spatial foundation models Collaborate with research scientists and engineers to transition ...

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 ...

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 ...

/Machine Learning Engineer (NLP/LLM) - Contract Duration : 6 months Rate : Up to £500 per day IR35: Outside Location: Fully Remote (occasional ad-hoc travel to office) The Role : A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer/Data Scientist to support … scalability. Experience Requirements : Proven experience in Natural Language Processing (NLP) and Large Language Models (LLMs), including training LLMs from scratch. Strong understanding of deep learning principles and experience working with transformer-based architectures (e.g., GPT, BERT, T5). Solid background in data science and machine learning, including ...

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 ...

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. ...

Director specialized in NLP, LLM, and Graph analytics to join their team in the UK. This role will focus on advanced machine learning solutions for various applications including speech analytics and recommendation systems. Ideal candidates should possess a PhD in a quantitative discipline and have hands-on experience with … deep learning methods. Strong communication skills and the ability to work in collaborative environments are essential for success in this position. #J-18808-Ljbffr ...

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 ...

Highly desirable salary at a quickly scaling startup A well-backed deep tech startup is hiring an ML Engineer to work on some genuinely unsolved problems in applied computer vision. The team is small, senior, and comes from a mix of top-tier research labs, global tech companies … clean benchmark” and more “figure it out from 50 examples and make it work on-device.” What they need Strong PyTorch and clean deep learning engineering habits Solid understanding of modern architectures – transformers, VLMs, and beyond Grounding in classical signal processing and CV fundamentals Experience owning projects ...

systems that interact with some of the most complex software ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more. We are looking for a fast‐paced, client‐obsessed Account Executive with ...

JPMorgan Chase's Chief Data & Analytics Office seeks an Applied AI ML Director - NLP/LLM and Graphs to apply cutting-edge machine learning methods to complex tasks such as NLP, graph analytics, and time-series predictions. You will collaborate with business, technology, product, legal, and compliance teams … deploy solutions into production. The role emphasizes deep learning expertise, agentic AI, and strong communication skills, in a highly collaborative setting across the firm. #J-18808-Ljbffr ...

Overview A well-funded, high-growth UK deep-tech organisation is seeking a Principal AI Architect to lead a flagship initiative focused on next-generation AI compute infrastructure. The company collaborates with major industry partners, research institutions, and public bodies to accelerate large-scale AI deployment. As models scale … long-term technical roadmap for an enterprise-grade performance modeling platform Systems Integration: Bridge the gap between semiconductor hardware engineering, systems software, and deep learning model workloads Engineering Standards: Establish validation methodologies and high-performance engineering standards across multiple technical teams Executive Liaison: Serve as the chief technical ...

Jobr.pro is seeking a Staff Applied ML Engineer to enhance financial crime detection using modern machine learning technologies. You will be responsible for designing and shipping deep learning models while defining the architectural strategies essential for our risk management approach. This position involves strong collaboration within ...

Amazon's Alexa International Science team is seeking an Applied Science Manager with expertise in speech models and deep learning to lead a team delivering Generative AI voice technology across 20+ languages. You will guide research‐to‐production development, set scientific direction, mentor scientists, and collaborate with product ...

Boston Dynamics is hiring a Staff ML Research Scientist for the Machine Learning Safety R&D Team. You will research, design, and build innovative ML models and algorithms to run on our robots, enabling safe operation around people and advancing Embodied AI. Role requires deep learning expertise ...

scratch, channelling our start-up mentality every step of the way – meaning you’ll have the opportunity to make a real impact. Lead Machine Learning Scientist – International Consumer Bank Your responsibilities are to deliver end-to-end cutting-edge solutions in the form of cloud-native microservices architecture applications … design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages. Responsibilities Lead the development and maintenance of machine learning models to solve complex business problems. Develop the technical skills of junior colleagues through mentorship and training. Collaborate with cross‐functional teams to identify opportunities ...

video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead … successful delivery of high-impact AI solutions. Key Responsibilities · Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) · Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring ...