76 to 100 of 1,059 Deep Learning Jobs in England

job and more exclusive features. Direct message the job poster from HR Ways - Hiring Tech Talent HR Generalist | Tech Recruiter | Executive Search | HR Operations | Payroll Specialist Hiring Sr. Machine Learning Engineer - Hybrid in London, UK Client Introduction: The company is a multinational Sweden SAAS product-based firm. Company Strength: 100+ Job Description: Design and implement Graph Neural Network (GNN … customer-facing stakeholders. Required Qualifications: Bachelors degree in computer science, Mathematics or a related technical field or equivalent practical experience. Certifications Minimum: Google Professional Data Engineer Preferred: AWS Machine Learning Specialty Certification 7+ years in a customer facing role working with enterprise clients 4+ years of experience working in enterprise data warehouse and analytics technologies Hands-on experience building … and training machine learning models. Experience writing software in one or more languages such as Python, Scala, R, or similar with strong competencies in data structures, algorithms, and software design. Experience working with recommendation engines, data pipelines, or distributed machine learning. Experience working with deep learning frameworks (such as TensorFlow, Keras, Torch, Caffe, Theano). Strong coding More ❯

Get AI-powered advice on this job and more exclusive features. Infosys Consulting is a leading innovator in the tech industry, specializing in artificial intelligence and machine learning solutions. We work with a diverse range of clients to deliver cutting-edge AI technologies that drive business growth and innovation. We are looking for a talented Machine Learning/… and help us build the future of AI. Key Responsibilities: Collaborate with clients to understand their business needs and translate them into technical requirements Design, develop, and deploy machine learning and generative AI models, including but not limited to NLP models, computer vision models, and reinforcement learning systems Conduct research and stay updated on the latest advancements in … AI and machine learning technologies, particularly in generative models such as GANs, VAEs, and diffusion models Analyze large datasets to uncover patterns, insights, and opportunities for machine learning applications Optimize and fine-tune models for performance, scalability, and accuracy Build and maintain scalable data pipelines for model training and deployment Provide technical guidance and mentorship to junior data More ❯

grade workloads , focusing on efficiency, adaptability, and security . Algorithm & Model Development Develop and optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Data Engineering & Integration Architect robust data pipelines to support AI model training and inference. … inputs. Collaborate with data engineering teams to align AI solutions with real-world business applications. AI Model Training, Evaluation & Performance Optimization Train AI models using supervised, unsupervised, and reinforcement learning techniques , refining them based on business insights . Define model performance metrics to ensure AI solutions deliver tangible value. Real-Time AI Applications & System Integration Work alongside software engineers … for AI model development and deployment. Familiarity with AI libraries and frameworks (TensorFlow, PyTorch, Keras). Experience deploying AI models in cloud computing environments (AWS, Azure, Google Cloud). Deep understanding of enterprise AI architecture, data engineering, and model optimization . Strong problem-solving skills, with a business-driven approach to AI implementation. Effective communication and collaboration skills in More ❯

grade workloads , focusing on efficiency, adaptability, and security . Algorithm & Model Development Develop and optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Data Engineering & Integration Architect robust data pipelines to support AI model training and inference. … inputs. Collaborate with data engineering teams to align AI solutions with real-world business applications. AI Model Training, Evaluation & Performance Optimization Train AI models using supervised, unsupervised, and reinforcement learning techniques , refining them based on business insights . Define model performance metrics to ensure AI solutions deliver tangible value. Real-Time AI Applications & System Integration Work alongside software engineers … for AI model development and deployment. Familiarity with AI libraries and frameworks (TensorFlow, PyTorch, Keras). Experience deploying AI models in cloud computing environments (AWS, Azure, Google Cloud). Deep understanding of enterprise AI architecture, data engineering, and model optimization . Strong problem-solving skills, with a business-driven approach to AI implementation. Effective communication and collaboration skills in More ❯

grade workloads , focusing on efficiency, adaptability, and security . Algorithm & Model Development Develop and optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Data Engineering & Integration Architect robust data pipelines to support AI model training and inference. … inputs. Collaborate with data engineering teams to align AI solutions with real-world business applications. AI Model Training, Evaluation & Performance Optimization Train AI models using supervised, unsupervised, and reinforcement learning techniques , refining them based on business insights . Define model performance metrics to ensure AI solutions deliver tangible value. Real-Time AI Applications & System Integration Work alongside software engineers … for AI model development and deployment. Familiarity with AI libraries and frameworks (TensorFlow, PyTorch, Keras). Experience deploying AI models in cloud computing environments (AWS, Azure, Google Cloud). Deep understanding of enterprise AI architecture, data engineering, and model optimization . Strong problem-solving skills, with a business-driven approach to AI implementation. Effective communication and collaboration skills in More ❯

broadest selection of content, innovative devices, and personalized experiences for customers. Our team is an interdisciplinary group of scientists working at the intersection of Recommender Systems, Information Retrieval, Machine Learning (ML), and Spoken Language Understanding (SLU). Through close collaboration with engineering and product teams, we develop and deploy innovative algorithms that enhance content discovery and customer engagement on … our devices delightful to use and indispensable for the household. Key job responsibilities - Drive new AI initiatives primarily focused on Search systems, with contributions to Recommendations and SLU, applying Deep Learning, GenAI, and other ML techniques to improve Fire TV user experience - Perform hands-on data analysis and modeling with large data sets to develop insights that increase … end solutions - Setup and monitor alarms to detect anomalous data patterns and perform root cause analyses to explain and address them - Be a member of the Amazon-wide Machine Learning Community, participating in internal and external MeetUps, Hackathons and Conferences - Help attract and recruit technical talent; mentor junior scientists BASIC QUALIFICATIONS - PhD, or Master's degree and 6+ years More ❯

investor communications, and software product development, onboarding, and support. As the AI Architect, you will be driving innovation and play a crucial role in designing, developing, and deploying machine learning models and applying GenAI technologies in AI solutions across various business functions. The focus of this role includes the entire model development lifecycle, with an emphasis on MLOps practices … AI, LLMOps, and AI agents is required to drive advanced AI functionalities within our organization. Join our dynamic team and be part of a collaborative environment that fosters continuous learning and creativity. If you are an experienced AI Engineer and passionate about machine learning, GenAI, and want to contribute to high impact AI projects in Financial Services, we … and capabilities, and accordingly refine and improve our model development lifecycle and disseminate best practice learnings to colleagues. Help refine and extend our standards and best practices around Machine Learning – training and testing framework, coding standards, engineering practices. Qualifications & Skills: Demonstrate a strong understanding of natural language processing methods, including deep learning techniques, knowledge distillation, prompt engineering More ❯

team collaborating with business stakeholders, technology teams, and other relevant groups to understand their needs, gather requirements, and align AI solutions with organisational goals. Prototyping, developing, and deploying machine learning applications into production Contributing to our machine learning enabled, business-facing applications Contributing effective, high quality code to our codebase Model validation and model testing of production models … Presenting findings to senior internal and external stakeholders in written reports and presentations. This role is for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow) Understanding of machine learning techniques Experience with data manipulation libraries (e.g. Pandas, Spark, SQL) Problem … Architecture, Incident Management and Resolution (IMR), Inclusion, Information and Communications Technology (ICT), Intellectual Curiosity, IT Infrastructure Upgrades, IT Operations, IT Operations Management, IT Project Lifecycle, IT Support, IT Troubleshooting, Learning Agility {+ 11 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? Yes Government Clearance Required? No Job Posting End More ❯

Strong proficiency in programming languages such as Python or R. Experience with SQL and familiarity with database management practices to handle and query large datasets efficiently. Knowledge of machine learning frameworks like TensorFlow or PyTorch and libraries such as scikit-learn. Proficiency in using data analysis and visualization tools to interpret data and present insights effectively. Proven experience as … As the Ideal Candidate, you should have: Analytical Mindset, Curiosity, and Inquisitiveness. Problem-Solving Skills. Attention to Detail. Adaptability and Communication Skills. Patience and Persistence. Experience with advanced machine learning techniques such as deep learning, natural language processing (NLP), or reinforcement learning. Experience in using advanced features of cloud platforms (AWS, Azure, Google Cloud) such as machine … learning services and automated data pipeline tools. Familiarity with big data frameworks like Hadoop or Spark is beneficial. Skills in advanced data visualization tools and software beyond basic reporting—such as Tableau, Power BI, or even more sophisticated interactive web visualization frameworks like D3.js. Benefits 15 Days paid off + local/US Bank holidays. Up to 10% of More ❯

PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimisation opportunities in design and engineering. Born out of numerical physics and proven in Formula One, we help our customers radically improve their concepts and designs, transform their engineering processes and drive operational … wind turbines. We are taking the next leap in building out our technology platform and product offering. In this context, we are looking for a capable and enthusiastic machine learning software engineer to join our research team. If all of this sounds exciting to you, we would love to talk. Note: We are currently recruiting for multiple positions, however … will do Work closely with our research scientists and simulation engineers to build and deliver models that address real-world physics and engineering problems. Design, build and optimise machine learning models with a focus on scalability and efficiency in our application domain. Transform prototype model implementations to robust and optimised implementations. Implement distributed training architectures (e.g., data parallelism, parameter More ❯

their business needs. Your work will range from training next-generation AI cybersecurity firewall LLMs to training foundation genomic models making predictions about life-saving drug proteins. Having a deep curiosity about the hardest questions about LLMs will also motivate various research opportunities on how to apply ML to the forefront of enterprise data. If you are excited about … techniques to integrate tool-calling into production-serving LLMs. Work closely with customers - some of the most sophisticated ML organizations in the world - to quickly prototype and build new deep learning models targeted at multi-modal content understanding problems. Ideally you’d have: At least 1-3 years of model training, deployment and maintenance experience in a production … environment. Strong skills in NLP, LLMs and deep learning. Solid background in algorithms, data structures, and object-oriented programming. Experience working with a cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment. Experience building products with LLMs including knowing the ins and outs of evaluation, experimentation, and designing solutions to get More ❯

their business needs. Your work will range from training next-generation AI cybersecurity firewall LLMs to training foundation genomic models making predictions about life-saving drug proteins. Having a deep curiosity about the hardest questions about LLMs will also motivate various research opportunities on how to apply ML to the forefront of enterprise data. If you are excited about … techniques to integrate tool-calling into production-serving LLMs. Work closely with customers - some of the most sophisticated ML organizations in the world - to quickly prototype and build new deep learning models targeted at multi-modal content understanding problems. Ideally you’d have: At least 1-3 years of model training, deployment and maintenance experience in a production … environment Strong skills in NLP, LLMs and deep learning Solid background in algorithms, data structures, and object-oriented programming Experience working with a cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment Experience building products with LLMs including knowing the ins and outs of evaluation, experimentation, and designing solutions to More ❯

Social network you want to login/join with: Our SAIL (Solutions and AI Lab) practice are looking for an experienced Machine Learning Engineer to join the team. In SAIL, we build state-of-the-art AI solutions that help our clients with some of their biggest projects - ranging from tools that support energy networks forecast risk and adapt … responsible to support the growth of our team, helping them to build the skills they need to solve our client’s challenges. Typical engagements include: Defining and implementing Machine Learning projects over the full lifecycle, from conception to data preparation, model engineering, evaluation and deployment and finally model monitoring and maintenance Establishing and developing ML Ops frameworks and standards … people who can both advise our clients and get hands on in technical delivery to bring a solution to life. Passionate person who is excited by problems within machine learning and can bring a good mix of technical delivery and core consulting skills in client engagements Advanced degree in computer science, mathematics, physics, engineering or related STEM field Strong More ❯

Lead Machine Learning Engineer, Associate Director, London Join to apply for the Lead Machine Learning Engineer, Associate Director, London role at Fitch Group, Inc. Lead Machine Learning Engineer, Associate Director, London 2 weeks ago Be among the first 25 applicants Join to apply for the Lead Machine Learning Engineer, Associate Director, London role at Fitch Group … Inc. Fitch Group is currently seeking a Lead Machine Learning Engineer, Associate Director based out of our London office. As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries … Fitch? Visit: https://careers.fitch.group/content/Technology-and-Data/About The Team The Fitch Group's AI Implementation Chapter is seeking a dynamic Lead Machine Learning Engineer with 6+ years of experience, including leadership and people management. This role involves designing AI/ML solutions and ensuring implementation of AI initiatives across the Fitch Ratings More ❯

see and the products they want to buy. Businesses break the limits of ordinary experiences — and drive measurable growth along the way. Bloomreach is seeking a seasoned Senior Machine Learning Engineer to own the design and implementation of cutting-edge AI and GenAI driven algorithmic components for search, recommendation and behavioral insights that are used to personalize digital experiences … data science modules that power all the products of the company, including Search Relevance, Recommendation, User Personalization, User Segmentations, Content Intelligence and Conversational Commerce. We invent and apply machine learning, data mining, and information retrieval algorithms to understand, identify, and improve web content discovery. We have built industry leading algorithms in search and recommendations for the commerce space that … power Search and Recommendation. Process historical data, search queries, product catalog, and images to extract hidden relations and features. Conduct research to explore ongoing cutting-edge ML techniques (especially deep learning) and conduct a quick POC. Work closely with Data Engineers and Senior Data Scientists to integrate and scale ML components to a production-level that can handle More ❯

Job Description Machine Learning R&D Engineer (KTP Associate) Fixed Term: 18 months Salary range: £38,000 - £45,000 per annum Location : Buro Happold Limited, The Featherstone Building, 66 City Road, London, EC1Y 2AL Birmingham City University are looking to appoint a high calibre graduate (graduated within the last five years) as a Machine Learning R&D Engineer … KTP Associate). As a Machine Learning R&D Engineer Associate, you will develop Machine Learning (ML) solutions that will innovate and transform key engineering activities in Buro Happold. You will work closely with Buro Happold's computational team to build reusable AI/ML datasets, develop and optimise ML models, facilitate their deployment within the company, and … presents an exciting opportunity to work in collaboration with leading academics at Birmingham City University, to apply knowledge and technical innovation, delivered on site at the company. The Machine Learning R&D Engineer (KTP Associate) should have a minimum 2.1 University qualification in a relevant subject area and graduated within the last five years. This Knowledge Transfer Project (KTP More ❯

are looking for a talented and driven AI Research Engineer to join our growing team in Cambridge. This role is ideal for individuals with a strong foundation in machine learning or data science who are passionate about advancing AI technologies and applying them to real-world challenges. You will work on cutting-edge research and development projects, contributing to … both theoretical innovation and practical deployment. Education Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, or a related technical field. Minimum academic requirement: 2:1 or above in undergraduate degree and AAB or higher at A-level (or international equivalent). We would consider data science backgrounds with relevant experience. A … institution (Top 200 Global Universities) is required. Required Skills and Qualifications Strong analytical and problem-solving skills with a scientific approach to experimentation. Proficiency in data science and machine learning workflows, including data handling, model training, and evaluation. Solid understanding of software engineering practices, particularly in the context of ML development. Hands-on experience with Python and ML libraries More ❯

NATO’s newest body. From across the Alliance, DIANA will bring together innovators and operational end users to foster a transatlantic ecosystem supporting dual-use ground-breaking innovation in deep technologies. DIANA is an independent NATO body comprised of an Allied Board of Directors and an executive management team - the DIANA Executive (DX). Operating out of regional offices … in Europe and in North America, the DX will conduct DIANA’s mission: accelerating deep tech, dual-use solutions to critical transatlantic challenges in defence and security. The DX will use Challenge Programmes in line with a published Strategic Direction, as the primary vehicle to accomplish this mission. DIANA is a dynamic, agile and hybrid workplace, which strives for … an environment that is positive, inclusive, and collaborative. 2. OVERVIEW OF THE ROLE We are seeking talented and versatile engineers with experience in software development, Artificial Intelligence (AI), Machine Learning (ML), and Large Language Models (LLMs) for short-term (3-month) renewable contracts. In this role, you will be instrumental in designing, developing, deploying, and maintaining both core software More ❯

Job AI Engineers design and develop artificial intelligence systems and algorithms. AI Engineers work on creating models that can analyze data, make predictions, and automate tasks. By improving machine learning technologies, AI Engineers enhance software capabilities and contribute to innovative solutions across various applications. Duties & Responsibilities Design, develop, and implement AI/ML algorithms and models to solve business … challenges. Collaborate with cross-functional teams to integrate AI solutions into existing systems and applications. Research and stay up-to-date with the latest advancements in AI, machine learning, and deep learning technologies. Develop data pipelines and preprocessing methods for model training and deployment. Monitor, evaluate, and improve the performance of AI models and systems. Conduct experiments … data scientists, software engineers, and product managers to deploy AI solutions in production environments. Create technical documentation for AI models and workflows. Required Skills & Qualifications Strong experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in programming languages like Python, R, or Java. Hands-on experience with deep learning models, NLP, computer vision, or More ❯

Product and Research teams. Technical Skills – Must have: • AI Solution Architects are data and analytics professionals with at least 5 years of experience with knowledge of Transformer (and other Deep Learning) Architectures, data lake architectures, data integration, and data governance, and at least 2 years of experience with cloud-based AI/ML technologies (such as tools from … and Microsoft Azure. Technical Skills – Good to have: • Expertise in any one framework (TensorFlow, Pytorch, Keras) • Experience in a statistical programming language (e.g. R or Python) and applied machine learning and AI techniques (i.e computer vision, deep learning, conversational AI, and natural language processing frameworks.) • Experience with Transforms Architecture Design, specializing LLM (Zero/Few Shot Training … knowledge on API’s & Integrations, Patterns. • Extensive knowledge of big data technologies • Knowledge on Statistical Methods • OTHER SKILLS WE'D APPRECIATE 1. Understanding of NLP engines, Artificial Intelligence, Machine Learning frameworks etc. EDUCATION QUALIFICATION • Graduate in Engineering OR master’s in computer applications. Process Skills: • General SDLC processes • Understanding of utilizing Agile and Scrum software development methodologies • Skill in More ❯

the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it’s predicting … customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full … testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Data More ❯

established and rapidly growing global provider of computational, research, and data science expertise within Life Sciences and Healthcare. At RCH Solutions, our team rallies around a culture crafted for learning and achieving. We’re relentless in our pursuit for innovation and demanding of ourselves to deliver a ground-breaking computing experience for our clients, so that they can deliver … focus on designing, developing, and implementing generative AI solutions to support cutting-edge research initiatives, including drug discovery, personalized medicine, bioinformatics, and clinical research. The ideal candidate will have deep expertise in AI/ML, particularly in generative models, and a strong understanding of life sciences applications to accelerate research outcomes and drive scientific breakthroughs. You will use your … Optimize generative AI models for performance, scalability, and interpretability, ensuring they meet the rigorous demands of life sciences applications. Architect and design complex systems that integrate GenAI applications, machine learning models, and cloud infrastructure. Lead architectural decisions across AI workflows: model training, deployment, monitoring, versioning, and lifecycle management Collaborating with cross-discipline team members and customers to deliver HPC More ❯

the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it’s predicting … customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full … testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Data More ❯

About the Role We are seeking an experienced AI/ML Engineer to help enterprise clients accelerate their adoption of advanced machine learning technologies. This role will focus on building graph-based neural network (GNN) models, generating ScaNN-based embeddings, and training scalable ML models for search, recommendation, and classification systems. You will collaborate closely with Google Cloud engineers … facing stakeholders. Required Qualifications Bachelor’s degree in computer science, Mathematics or a related technical field or equivalent practical experience. Certifications Minimum: Google Professional Data Engineer Preferred: AWS Machine Learning Specialty Certification 7+ years in a customer facing role working with enterprise clients 4+ years of experience working in enterprise data warehouse and analytics technologies Hands-on experience building … and training machine learning models. Experience writing software in one or more languages such as Python, Scala, R, or similar with strong competencies in data structures, algorithms, and software design. Experience working with recommendation engines, data pipelines, or distributed machine learning. Experience working with deep learning frameworks (such as TensorFlow, Keras, Torch, Caffe, Theano). Strong coding More ❯

UKcaravans4hire and Bachcare in New Zealand. We unite under four core company values that serve as the foundation of everything we do: Being One Team, Owning It, Communicating Honestly. Learning, Growing, and Innovating. These values ensure we remain true to our original ethos and ensure we stay true to our Customers, Owners and Colleagues alike. About the Principal Data … You will provide thought leadership, mentor team members, and work cross-functionally to influence both technical and business strategy. You will lead the development and deployment of advanced machine learning and AI solutions, ensuring they are scalable, robust, and aligned with business priorities. This role is suited to a deeply experienced, commercially-minded individual who combines strong technical expertise … develop less experienced data scientists, fostering technical and professional growth Champion ethical AI, explainability and model governance throughout the lifecycle of our solutions Contribute to a culture of continuous learning, experimentation and data-informed decision making Skills and Qualifications: We are looking for those who can share in our company goals, values and ethos, who can grow alongside us More ❯