25 of 25 Remote/Hybrid Permanent Deep Learning Jobs

positioned at the intersection of two explosive growth markets: AI and beauty tech. We are looking for a Mid-Level Computer Vision/Deep Learning Engineer to join our team. In this role, you won't just be researching models in a vacuum … lifecycle from prototyping computer vision algorithms to pushing production-ready deep learning models that directly impact our clients and their customers. What You’ll Do: Build & Innovate: Design, train, and deploy advanced CV/DL models for skin image analysis, tackling challenges in image classification, segmentation, regression ...

Location: London, Amsterdam or Remote About the Role: Senior Deep Learning Researcher with a strong background in ML, mathematical statistics, and modern DL architectures . You will contribute to cutting-edge research in foundational models, including LLMs, multi-modal, multi-domain, and continual learning frameworks . … Mathematics, or a related field . Published research in A conferences (ICML, NeurIPS, ICLR, AAAI, KDD). Hands-on experience with deep learning architectures and foundational models . Strong programming skills ( Python preferred ). Whilst we carefully review all applications, to all jobs, due to the high volume ...

Machine Learning Engineer (Computer Vision) Location: Surrey or Bristol (hybrid/remote options considered) Type: Permanent (full-time) Team: AI/Computer Vision Visa: Unfortunately, visa sponsorship is not available for this role. About the Company We're a UK-based technology business building AI-led vision systems that … reliability, and accurate detection matter-helping teams monitor large areas and respond quickly when something changes. The Role We're looking for a Machine Learning/Computer Vision Engineer to help tackle challenging real-world problems using modern deep learning. You'll work closely with a multidisciplinary team ...

fleets around the world. Embedded Systems Engineer - AI Innovation Cwmbran, South Wales On Site - occasional opportunity for home working Skills: Artificial Intelligence, Machine Learning, Real-Time, Embedded development, Custom Models, Sensor Fusion, Automation, Edge AI, RTOS, Deep learning, LLM, ANN, C++, Electronics, Mechatronics, Robotics Looking after … your hands-on technical skills to bring AI concepts from idea to real-world demonstration, all while helping build AI capabilities among colleagues. *Build deep technical and regulatory understanding of our cabin/seat electronic and data systems. *Develop and test edge-AI solutions that enhance passenger experience ...

Senior Research Engineer – Deep Learning & Time Series About the Role My client are a forward-thinking financial organisation looking for a Senior Research Engineer to own the machine learning strategy end to end. This is a rare opportunity to shape the AI direction from the ground … from research through to production with direct visibility at the leadership level. What You'll Do Define and lead the deep learning research agenda, with a focus on time series modelling in financial markets Take models from research hypothesis all the way to production-grade, monitored systems Evaluate ...

Title: Senior Machine Learning Engineer (Bio/AI) Location: Near London (Hybrid, 3 days onsite) Salary: £95,000 – £150,000 Company: Stealth Biotech Startup (Series A) About the Company This venture-backed biotech startup is developing AI-driven platforms to transform drug discovery and precision medicine. Operating across machine … learning and experimental biology, they are focused on extracting meaningful insights from complex biological systems to accelerate therapeutic development across areas such as oncology and rare diseases. With strong early funding and a growing multidisciplinary team, they are now scaling both their technical platform and engineering capability. The Role ...

Description Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial Apply today to join a forward-thinking, tech-driven FTSE 100 organisation using data science and AI to enhance customer experience, optimise supply chains and drive sustainable growth. With … sales from sustainable products, this is a company that combines scale, innovation and purpose. As a Machine Learning Engineer, you'll help maintain the stability and performance of core data and ML systems across Europe. This technical engineering role focuses on reliability, optimisation and critical fixes, ideal ...

Title: Bio Machine Learning Engineer Location: Near London (Hybrid, 2 days onsite) Salary: Up to £90,000 Company: Stealth Biotech Startup (Series A) About the Company This early-stage biotech startup is building next-generation AI platforms to accelerate drug discovery and precision medicine. Backed by top-tier … they combine cutting-edge machine learning with experimental biology to unlock new therapeutic pathways across oncology and rare diseases. Their team works across computational biology, machine learning, and wet-lab science -working closely to turn complex biological data into real-world clinical impact. The Role They are looking ...

deploying IT/data-driven solutions that directly support trading decisions or automated dispatch using MLOps tooling and CI/CD for model deployment Deep understanding of European electricity markets (EPEX, Nord Pool, or equivalent) including day-ahead, intraday continuous, and balancing mechanisms. Excellent programming skills in Python (pandas … NumPy, scikit-learn, LightGBM/XGBoost, or similar); SQL and cloud-based data platforms. Experience with reinforcement learning, Bayesian methods, or time-series deep learning (LSTMs, Transformers) in a trading context. Strong experience with optimisation techniques (LP/MILP, stochastic optimisation) applied to asset scheduling or portfolio ...

deploying IT/data-driven solutions that directly support trading decisions or automated dispatch using MLOps tooling and CI/CD for model deployment Deep understanding of European electricity markets (EPEX, Nord Pool, or equivalent) including day-ahead, intraday continuous, and balancing mechanisms. Excellent programming skills in Python (pandas … NumPy, scikit-learn, LightGBM/XGBoost, or similar); SQL and cloud-based data platforms. Experience with reinforcement learning, Bayesian methods, or time-series deep learning (LSTMs, Transformers) in a trading context. Strong experience with optimisation techniques (LP/MILP, stochastic optimisation) applied to asset scheduling or portfolio ...

deploying IT/data-driven solutions that directly support trading decisions or automated dispatch using MLOps tooling and CI/CD for model deployment Deep understanding of European electricity markets (EPEX, Nord Pool, or equivalent) including day-ahead, intraday continuous, and balancing mechanisms. Excellent programming skills in Python (pandas … NumPy, scikit-learn, LightGBM/XGBoost, or similar); SQL and cloud-based data platforms. Experience with reinforcement learning, Bayesian methods, or time-series deep learning (LSTMs, Transformers) in a trading context. Strong experience with optimisation techniques (LP/MILP, stochastic optimisation) applied to asset scheduling or portfolio ...

deploying IT/data-driven solutions that directly support trading decisions or automated dispatch using MLOps tooling and CI/CD for model deployment Deep understanding of European electricity markets (EPEX, Nord Pool, or equivalent) including day-ahead, intraday continuous, and balancing mechanisms. Excellent programming skills in Python (pandas … NumPy, scikit-learn, LightGBM/XGBoost, or similar); SQL and cloud-based data platforms. Experience with reinforcement learning, Bayesian methods, or time-series deep learning (LSTMs, Transformers) in a trading context. Strong experience with optimisation techniques (LP/MILP, stochastic optimisation) applied to asset scheduling or portfolio ...

deploying IT/data-driven solutions that directly support trading decisions or automated dispatch using MLOps tooling and CI/CD for model deployment Deep understanding of European electricity markets (EPEX, Nord Pool, or equivalent) including day-ahead, intraday continuous, and balancing mechanisms. Excellent programming skills in Python (pandas … NumPy, scikit-learn, LightGBM/XGBoost, or similar); SQL and cloud-based data platforms. Experience with reinforcement learning, Bayesian methods, or time-series deep learning (LSTMs, Transformers) in a trading context. Strong experience with optimisation techniques (LP/MILP, stochastic optimisation) applied to asset scheduling or portfolio ...

Machine Learning Engineer (PyTorch LLM) London onsite to £110k Do you have expertise with Machine Learning in production? You could be progressing your career at a London based tech start-up with £5 million in recent pre-seed funding, in an impactful role that you'll shape. … Holidays) Daily lunch, monthly breakfasts Dog friendly office Pension Monthly socials Impactful role that you can shape and influence Your role: As a Machine Learning Engineer you'll take open-source LLMs (code and general models) and turn them into high-performance software engineer agents using supervised fine tuning ...

Data & ML Engineer to deliver high-impact solutions across enterprise clients. This is a hands-on engineering role where youll design pipelines, deploy machine learning models, and help shape modern AI-driven systems. What youll be doing Build and optimise data pipelines and ML workflows Develop and deploy … models (NLP, deep learning, AI applications) Work with streaming and batch data pipelines across cloud platforms Implement CI/CD and MLOps frameworks Collaborate with cross-functional teams to deliver data-driven solutions Support data modelling, governance, and quality initiatives What were looking for Experience with Python ...

initiatives. This is a high-impact, hybrid role designed for a technical visionary who can bridge the gap between cutting-edge machine learning and commercial product delivery. You will be responsible for leading the technical direction, building end-to-end AI products, and managing a team of data scientists … strategic partner to the business. Required Qualifications ML Mastery: Proven track record in Data Science/ML with expertise in Python, SQL, and deep learning libraries (TensorFlow, Keras, or PyTorch). Production Experience: Demonstrated experience deploying real-world AI solutions at scale; purely academic or research backgrounds will ...

initiatives. This is a high-impact, hybrid role designed for a technical visionary who can bridge the gap between cutting-edge machine learning and commercial product delivery. You will be responsible for leading the technical direction, building end-to-end AI products, and managing a team of data scientists … strategic partner to the business. Required Qualifications ML Mastery: Proven track record in Data Science/ML with expertise in Python, SQL, and deep learning libraries (TensorFlow, Keras, or PyTorch). Production Experience: Demonstrated experience deploying real-world AI solutions at scale; purely academic or research backgrounds will ...

actively expanding into new application areas such as aerospace, immersive technologies, and assistive systems. The Role You will work at the intersection of machine learning, computer vision, and cognitive science to build models that predict and interpret human attention and behaviour in visual and spatial contexts. Key responsibilities include … Designing and implementing machine learning models for human attention, perception, and interaction.Running independent experiments, from hypothesis and data design through to evaluation and analysis.Working with visual, temporal, and spatial data including images, video, 3D scenes, and gaze signals.Translating research ideas into practical prototypes with support from a small engineering ...

Working closely with the founders, you will influence both the technical roadmap and future diversification into new application areas. Key responsibilities include: Developing machine learning and computer vision models focused on human attention, perception, and intent Designing and running experiments independently across visual and spatial data Working with multimodal … academic venues while working on applied problems Your Skills and Experience PhD or near completed PhD, or equivalent research experience, in computer vision, machine learning, neuroscience, cognitive science, robotics, HCI, or a related field Strong publication record, ideally at venues such as CVPR or ICCV, or equivalent research output ...

.000 € per year Requirements: Expertise in modern cloud/cloud-native architectures and a proven track record delivering production-grade AI/ML solutions (deep learning, generative AI) that solve real business problems. Hands-on experience designing scalable, production-ready AI systems and leading greenfield builds, migrations … management, guiding technical teams, driving multiple strategic initiatives autonomously. Strong analytical problem-solving capabilities, excellent composure and decision-making skills under pressure and ambiguity. Deep, up-to-date, hands-on knowledge of designing and deploying AI-first architectures and secure API integrations across multi-cloud solutions (especially Microsoft Azures ...

simulate how people attend to and interact with complex visual and spatial environments. You will work on real‐world problems that connect machine learning, computer vision and cognitive modelling, with a strong emphasis on hands‐on experimentation and practical impact. This position is well suited to researchers interested … scenes, gaze and interaction logs Collaborating with engineers to move research prototypes towards robust systems Responsibilities In this role, you will: Develop machine learning models for attention, perception, behaviour or intent prediction Design experiments, baselines, metrics and validation protocols Train and evaluate models using visual, spatial, temporal and multimodal ...

Looker,... Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. ...

time in understanding the architecture and domain before making changes to the most critical components. Were looking for someone who enjoys that kind of deep learning and is keen to build long-term expertise that enables them to take on greater ownership and impact. Good team player Autonomous ...

time in understanding the architecture and domain before making changes to the most critical components. Were looking for someone who enjoys that kind of deep learning and is keen to build long-term expertise that enables them to take on greater ownership and impact. Good team player Autonomous ...

candidates: Hire and mentor a small team of exceptional engineers and researchers Qualifications You've written and shipped high-performance or SOTA CUDA kernels Deep understanding of mixed precision, quantisation (INT4, INT8, FP8, MXFP4, block-scaled formats), kernel fusion, distributed computing strategies (TP, PP, CP) You've made deliberate … what makes variation operators work on hard combinatorial problems You're familiar with new or esoteric technical methods such as Neural Algorithmic Reasoning, Geometric Deep Learning, Category Theory, Neuroevolution, Megakernels, or the work of François Chollet, Kenneth Stanley, Jeff Clune, Jurgen Schmidhuber, David Ha, and Christian Szegedy Bonus ...