76 to 98 of 98 Deep Learning Jobs in England

Senior Machine Learning Engineer 3 Month Contract Initially with most probable extension Location- London- Working Remotely Are you a Senior ML Engineer with a passion for building large-scale, production-ready systems? We're looking for a talented professional to join a leading global digital entertainment platform. This is a fantastic opportunity to work on a 3-month contract … with a high probability of extension. The Role We need a Senior ML Engineer to help us design, build, and deploy robust machine learning systems that power our platform. You'll be a key part of our team, tackling complex challenges and ensuring our models are scalable and reliable in a production environment. What You'll Bring Production Experience … large-scale ML systems. We're particularly interested in candidates who have experience at large, international companies. Technical Skills : Strong proficiency in languages like Java, Scala, or Python . Deep Learning Frameworks : Hands-on experience with either PyTorch or TensorFlow . Experience : Previous experience working on distributed systems is a plus. This is an urgent vacancy with deadline More ❯

Senior Machine Learning Engineer 3 Month Contract Initially with most probable extension Location- London- Working Remotely Are you a Senior ML Engineer with a passion for building large-scale, production-ready systems? We're looking for a talented professional to join a leading global digital entertainment platform. This is a fantastic opportunity to work on a 3-month contract … with a high probability of extension. The Role We need a Senior ML Engineer to help us design, build, and deploy robust machine learning systems that power our platform. You'll be a key part of our team, tackling complex challenges and ensuring our models are scalable and reliable in a production environment. What You'll Bring Production Experience … large-scale ML systems. We're particularly interested in candidates who have experience at large, international companies. Technical Skills : Strong proficiency in languages like Java, Scala, or Python . Deep Learning Frameworks : Hands-on experience with either PyTorch or TensorFlow . Experience : Previous experience working on distributed systems is a plus. This is an urgent vacancy with deadline More ❯

based architectures and recommend appropriate tools, technologies, and methodologies ️ Collaborate with business leaders to understand objectives and translate them into scalable AI models ️ Architect data pipelines to support machine learning workflows and model deployments ️ Evaluate and implement deep learning, computer vision, NLP, and predictive modeling solutions ️ Conduct risk assessments on AI implementations and mitigate compliance or ethical More ❯

Role: Lead, Vision-Language-Action (VLA)/Behaviour Learning About the Client Our client is a pioneering robotics startup developing the worlds most advanced, reliable, and commercially scalable humanoid robots. Their mission is to create safe, next-generation robots that integrate seamlessly into daily life and amplify human capacity. Their first robot, HMND 01 , is designed for industrial automation … understand, and act in complex real-world environments. The role combines cutting-edge AI research with practical deployment in robotics. What Youll Do Define and drive strategy for representation learning, behaviour cloning, and reinforcement learning (RL) . Lead large-scale training of multi-modal LLM/VLM/VLA systems integrating inputs such as vision, audio, proprioception, LiDAR … and optimise models for real-time deployment . Hire, mentor, and lead a high-calibre team of research scientists and engineers. What Were Looking For 6+ years experience building deep learning systems, including 2+ years in technical team leadership. Hands-on expertise with LLM/VLM architecture design, billion-parameter training, and fine-tuning . Proven track record More ❯

Generation (RAG) , agent orchestration, prompt engineering, and tool calling Knowledge of AI standards like Model Context Protocol (MCP) and Agent2Agent (A2A) Strong grasp of ML algorithms: regression, classification, clustering, deep learning Awareness of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act) Skilled in using AI tools like GitHub Copilot and prompt engineering for development tasks … platform or cloud-native service development Strong background in Microsoft Azure and PaaS services (e.g., Azure Functions, AKS, API Management) Expertise in RESTful API design, versioning, and lifecycle management Deep understanding of API security, authentication/authorization, and data privacy Excellent problem-solving skills and ability to propose scalable solutions Agile team experience, with strong collaboration across global R More ❯

improving performance through strategic feature engineering and model optimization. Engage with the latest open-source AI/ML tools to enhance business solutions continuously. Develop, deploy, and manage machine learning models aimed at solving complex real-world business problems. Utilize backend and data processing skills to manage both structured and unstructured datasets effectively. Prioritize AI implementation based on comprehensive … ensuring alignment with strategic goals. Communicate complex technical ideas to stakeholders across technical and non-technical backgrounds, ensuring clarity and actionable insights. Skills & Experience: Essential - Demonstrable experience in Machine Learning, NLP, and GenAI including LLM/SLM fine-tuning and prompt development. Proficiency in Python and data libraries such as Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow. Practical knowledge … Advantage - Understanding of data structures, algorithms, and solution architecture. Familiarity with major cloud AI platforms (AWS, Azure, GCP). Broad knowledge of various ML algorithms including supervised, unsupervised, and deep learning. Strong problem-solving and effective communication skills. Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, Engineering, or related field. Benefits: 25 days annual More ❯

technical and non-technical audiences. Analyse and inspect large-scale datasets to support neural training and symbolic extraction. What We're Looking For We're seeking someone who combines deep technical expertise with creativity, collaboration, and drive: Deep learning expertise with 2+ years in language generation. Experience with LLMs, neurosymbolic integration, and knowledge representation. Strong Python skills 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 ❯

UK Hybrid (3 days onsite) Duration: Until Dec 2025 (ASAP start) Description: We are seeking an experienced Research Assistant to support ongoing work in the artificial intelligence and machine learning domain . The role will focus on building, testing, and improving AI agents, with a strong emphasis on generative AI and large language models (LLMs). You will work … medium-scale Python codebases. Requirements: Essential: Bachelors degree in Computer Science, Engineering, or related field, or equivalent practical experience. 2+ years experience in prototyping, testing, or research within ML, deep learning, or NLP. Proficiency in Python (intermediate level; ability to navigate multi-file codebases and write clean code). Familiarity with AI agent frameworks such as Model Context More ❯

ROLE IS MIDNIGHT ON 5TH JANUARY 2026 (SUBJECT TO APPLICATION VOLUMES) What we can offer you 10 week placement : starting June 2026, that allows you to apply your university learning to real-world projects and technologies Pension : maximum total (employer and employee) contribution of up to 14% Overtime: opportunity for paid overtime Annual Leave : 5 days Facilities : fantastic site … will have the opportunity to own and guide your own research project, and have exposure to many different projects, in different areas within the department. This means that the learning opportunities are huge, and by the end of the placement you will have a broad-range of hugely applicable experience. You will have the opportunity to shape your own … knowledge of the weapon's design and functionality. Within these tasks, you will have the opportunity to develop skills with the following tools and platforms: Matlab and Simulink Python Deep Learning libraries (e.g. Pytorch, scikit-learn, ONNX) C/C++ Hardware development boards (e.g. NVIDIA Jetson products) Alongside involvement with departmental activities, you will be part of a More ❯

graph data (each with 10,000+ nodes), applying multiple ML and LLM approaches to understanding the data, extracting meaningful insights from it using a proprietary forecasting engine, and empowering deep human interactions - all of which must work efficiently and robustly in production. As a startup, we also keep agile in a fast-moving environment! With this technology, nPlan are … 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 ❯

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 ❯

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 ❯

deliver new experiences and valuable insights to our coaches, athletes and fans. You'll help us build and deploy game-changing initiatives that use cutting-edge computer-vision and deep learning at scale to shape the future of sports at every level, from professional teams to local high schools. As a Senior MLOps Engineer, your priorities will include More ❯

Senior ML Engineer | £750/day | Remote | 6 Months+ | UK | We're hiring a very senior Machine Learning Engineer to lead model optimization for a cutting-edge AI hardware platform built for high-performance edge inference. Backed by $200M+ in funding, this stealth-mode startup is reimagining how AI runs in real-time; on-device, energy-efficient, and cloud … free. What You'll Do Optimize and deploy deep learning models on custom accelerators (e.g. Digital In-Memory Computing) Apply advanced techniques: quantization, pruning, compression Work across frameworks (PyTorch, TensorFlow, ONNX, OpenVINO, TVM) Collaborate with hardware, compiler, and embedded teams Benchmark and validate performance in real-world edge scenarios (CV, robotics, industrial AI) What You Bring 7+ years … in ML engineering, with deep expertise in model optimization for edge or custom silicon Strong knowledge of neural networks, hardware-aware inference, and deployment pipelines Hands-on with embedded inference toolchains and performance profiling Python, C++, and a mindset for getting things running fast and efficiently | Senior ML Engineer | £750/day | Remote | 6 Months+ | UK | RSG Plc is More ❯

c) supports operational process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills. Our solutions ensure that information in Amazon's catalog is complete, correct and … We are seeking a seasoned Software Development Manager who thrives on understanding the complexity of software systems, and brings a nuanced understanding of different aspects of technologies spanning machine learning, GenAI and big data processing. The candidate should be able to generalize platforms and services that can be applied to a wide variety of use cases enabling reuse and … our clients. Your strong management skills will be utilized to help deliver critical projects that meet various business and inter-org requirements. You are willing and able to get deep into the technical details, are proactive in removing roadblocks, pave the way for innovation, and can handle multiple competing priorities in a fast-paced environment. The successful candidate is 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 ❯

the gap between marketing and technology, supporting the client in assessing, implementing, and optimizing marketing technology solutions to enhance our clients' marketing strategies and operations. This role requires a deep understanding of marketing technology landscapes, strong analytical skills, and the ability to collaborate with cross-functional teams. About the Role - Required skills and experience: 4-5 years in Digital … Marketing Technology: as a consultant, Technical BA or product owner. Deep understanding of MarTech landscape: Comprehensive knowledge of various marketing technology platforms like CRM, DAM, dynamic creative optimization (DCO), GenAI, Deep Learning, CDP, marketing automation tools, email marketing platforms, social media management tools, analytics platforms, etc. Data analysis skills: Proficiency in data manipulation, statistical analysis, and data More ❯

GitHub Copilot for development. Ensure responsible AI practices aligned with NIST AI RMF , EU AI Act , and other ethical standards. Mentor junior developers and foster a culture of continuous learning and innovation. Skills & Experience 10+ years in software engineering, with strong experience building cloud-native or platform services using Microsoft and .NET . 4+ years in a Data Scientist … or AI/ML Engineer role. Proficiency in Python , including libraries like pandas , scikit-learn , TensorFlow , and PyTorch . Deep understanding of ML algorithms : regression, classification, clustering, and deep learning. Hands-on experience with Large Language Models (LLMs) and techniques such as Retrieval-Augmented Generation (RAG) , agent orchestration , prompt engineering , and tool calling . Familiarity with AI standards More ❯

largest and most respected names in a range of industries. Whether its supporting businesses with their remote workforce, transforming maritime companies with life-saving training simulators or implementing practical Deep Learning Systems into the businesses of tomorrow, theres no end to the amount of fascinating and cutting-edge projects that we are involved in (some of which we More ❯

largest and most respected names in a range of industries. Whether its supporting businesses with their remote workforce, transforming maritime companies with life-saving training simulators or implementing practical Deep Learning Systems into the businesses of tomorrow, theres no end to the amount of fascinating and cutting-edge projects that we are involved in (some of which we More ❯

largest and most respected names in a range of industries. Whether its supporting businesses with their remote workforce, transforming maritime companies with life-saving training simulators or implementing practical Deep Learning Systems into the businesses of tomorrow, theres no end to the amount of fascinating and cutting-edge projects that we are involved in (some of which we More ❯

data from our core technologies Collaborate with data scientists and engineers to integrate models into pipelines and tools. Stay current with academic and industry advances in temporal modeling and deep learning. Document methods and support reproducibility, validation, and publication where appropriate. Essential Requirements Strong programming and modeling skills in Python (NumPy, PyTorch or TensorFlow, SciPy, pandas). In-depth … knowledge of machine learning for time-series, including RNNs, LSTMs, GRUs, transformers, attention mechanisms. Solid understanding of probabilistic models (HMMs, Bayesian inference, graphical models). Experience designing or adapting dynamic programming algorithms. A graduate degree (PhD or MSc) in Computer Science, Mathematics, Physics, Bioinformatics, or a related field Ability to work in a research-style setting and translate ideas More ❯