76 to 100 of 121 Deep Learning Jobs in England

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, you will ensure our ML models can operate at massive scale across … scale – build and operate platforms that allow data scientists and ML engineers to train, deploy, and monitor models across Recursion’s massive datasets and deep learning workloads. Act as a mentor, coach, and sponsor – share technical, leadership and managerial skills in MLOps, distributed computing, and infrastructure engineering ...

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 ...

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 ...

/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 ...

finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world‐class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we’re building a world‐class platform to amplify our teams … reference solutions. Your work will influence long‐term platform evolution and help shape the architecture, software stack and tooling that underpins large‐scale machine learning computation. Key responsibilities Collaborating with researchers, senior stakeholders and engineers to understand their compute challenges and design optimised solutions. Profiling, benchmarking and tuning large ...

engineering teams to transition validated models into real products. We emphasize research rigor, empirical validation, and practical impact, translating novel ideas into deployable machine learning solutions under real-world constraints. Your Impact Research and develop advanced methods for video perception, with a strong emphasis on both … research models into deployed systems, advising on architecture, performance trade-offs, and integration considerations Stay current with advances in computer vision and applied machine learning research, and assess their applicability to real-world problems Minimum Qualifications Bachelor’s, Master’s, or PhD degree in Artificial Intelligence or a closely ...

with senior stakeholders to shape proposals, refine scopes, and identify new opportunities. Translate business challenges into scalable, data‐driven solutions using Python and machine‐learning methods (predictive, classification, forecasting, deep learning). What You’ll Bring 6+ years’ experience in data science, analytics, or consulting. Proven success … manager level, leading teams or workstreams. Strong track record with customer data/marketing analytics and AI‐powered solutions. Proficiency in Python, machine‐learning, and data storytelling. A collaborative mindset with the confidence to drive delivery and client relationships. Either consulting or agency background – leadership, commercial awareness, and consulting ...

data collection and training pipelines through to robust, production-ready models operating in demanding environments. The role is ideal for someone who combines deep technical expertise with a hands-on approach to engineering and leadership. The Opportunity You will lead the design and evolution of the company … Agile environment Requirements Proven track record delivering ML or Computer Vision products into production at scale Strong expertise across modern Computer Vision techniques and deep learning architectures Excellent Python and C++ engineering skills Experience optimising training and inference pipelines for real-world deployment Strong systems and engineering mindset ...

project delivery, stakeholder engagement, and supporting the development of others. For those at **Consultant** level, the role offers strong exposure to client work, learning from experienced practitioners, and a clear pathway for progression.We value curiosity, collaboration, and a growth mindset, and we encourage applications from candidates … Expert** – Expert in building and evaluating Generative AI solutions and Large Language Models (LLMs) for various use cases. Experience in developing and implementing machine learning models, including predictive, forecasting, classification, and deep learning models.* **CX Data Experience** - Hands-on experience in customer behaviour analytics, marketing, commercial ...

monitor models in production — performance, availability, relevance → Lead A/B testing and offline experiments to drive continuous improvement → Evaluate emerging research in deep learning and GenAI for real-world integration What we're looking for: ✦ Full ML lifecycle experience — from development through to monitoring in prod ✦ Python ...

InterDigital Europe, Ltd. is seeking a skilled machine learning engineer to research, design, implement, and optimize models for video compression. The ideal candidate has deep expertise in model optimization and software engineering, and a strong background in developing and deploying deep learning models using frameworks like … outputs, and advancing video coding technology. Exceptional qualifications include proficiency in Python and GPU-based systems, along with a solid educational foundation in Machine Learning or Computer Science. #J-18808-Ljbffr ...

teams building real-world AI products as well as advancing core model research. We are looking for candidates with: A PhD in AI, machine learning, robotics, computer science, or a related technical field Research or engineering experience in vision, audio, language, robotics, multimodal systems, or deep learning … expertise Interest in joining high-growth startup environments Ability to move between research, experimentation, and production impact Typical roles include: AI Research Scientist Machine Learning Engineer Applied AI Engineer Computer Vision Researcher Speech/Audio AI Researcher NLP/LLM Researcher Robotics Researcher/Engineer Multimodal AI Scientist ...

Either a track record of implementing and documenting CLI & MCP services and advanced AI workflows. or hands-on experience building and deploying ML or Deep Learning pricing/analytical models. You are familiar with Python, AWS and the use of obvious AI platforms such as GPT, Opus, Gemini … company offers: Flexible working hours Flexible working locations (most engineers work from home) A friendly, bright, ambitious team A culture that embraces change, learning, and innovation You will be joining people who genuinely love what they do, and who are committed to delivering the best hospitality software ...

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. ...

standards, review critical work, and guide teammates. What We Would Like to See Significant experience (typically 5+ years) in ML engineering or applied machine learning roles, with clear ownership of production recommendation or personalisation systems that drove meaningful business outcomes. Strong hands‐on skills in Python and relevant …/deep learning frameworks (e.g. PyTorch, TensorFlow), plus solid software engineering practices (testing, version control, code review, CI/CD). Proven track record building recommendation systems, with practical experience in techniques such as collaborative filtering, content‐based methods, embedding models, sequence models, or graph‐based approaches. Experience ...

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 ...

GEM5 (O3 model), Sniper, and others. Proficient in benchmark analysis and characterization. Experience in GPGPU performance analysis. Great knowledge of theory and practice of deep learning, computer vision, natural language processing, or computer graphics. Strong programming skills in languages such as C++ and Python. Experience with frameworks like … Private medical insurance Medical expense claim scheme Employee Assistance Program Cycle to work scheme Company sports club and social events Additional time off for learning and development #J-18808-Ljbffr ...

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 ...

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 ...

Apple Inc. is seeking an experienced Machine Learning Engineer in Cambridge, England, to create innovative features for the Photos app. The role involves working on machine learning and AI algorithms and requires strong collaboration and problem-solving skills. The ideal candidate will have a proven track record … building ML applications and familiarity with deep learning toolkits like PyTorch. Apple values diversity and accessibility in its workforce, ensuring equal opportunities for all. #J-18808-Ljbffr ...

Title: Data Scientist/Machine Learning Engineer Location: UK Experience: 2–5 years Education: Master's in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. Information … Cloud Hosted Services organizations as well as Mobile Apps and Service companies. Required Skills: 2-4 years of experience in Data science/Machine learning models from coding to deployment. Work with datasets using Python or R, SQL, No SQL. Assist in developing predictive and statistical models Write ...

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 ...

leading technology firm in the UK is seeking a Machine Learning Engineer for a hybrid role focused on cutting-edge ML research and development. The ideal candidate will have a Master's or PhD in a relevant field and proficiency in Python and deep learning libraries. Responsibilities ...

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 ...