1 to 25 of 359 Remote Deep Learning Jobs in the UK

Machine Learning Engineer - AI for Grid Innovation & Energy Transition (Energy Sector Experience Required) Join to apply for the Machine Learning Engineer - AI for Grid Innovation & Energy Transition (Energy Sector Experience Required) role at Energy Job Search Machine Learning Engineer - AI for Grid Innovation & Energy Transition (Energy Sector Experience Required) 2 days ago Be among the first … applicants Join to apply for the Machine Learning Engineer - AI for Grid Innovation & Energy Transition (Energy Sector Experience Required) role at Energy Job Search Get AI-powered advice on this job and more exclusive features. Job Description Summary GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver … security, and improved quality of life. Are you excited at the opportunity to electrify and decarbonize the world? We are looking for a passionate, creative, and results-oriented Machine Learning (ML) Engineer with substantial experience in the energy, smart infrastructure, or industrial automation sectors to join our AI & Grid Innovation team. In this role, you will be at the More ❯

through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering solutions via machine learning and statistical modelling. What you will do As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data. You will … of the client organization to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations. As a Lead Data Scientist, you will be expected to work independently on client engagements, take part in … simple, elegant solutions as well as cutting-edge solutions that, regardless of complexity, your clients can understand, implement, and maintain. You genuinely think about the end-to-end machine learning pipeline as you generate robust solutions. You are both a teacher and a student as we enable our clients, upskill our teammates, and learn from one another. You want More ❯

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 ❯

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 ❯

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 ❯

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 ❯

be located anywhere in the UK). You will be working in an innovative and collaborative environment with international peers, colleagues and a supportive manager. As the Senior Machine Learning (ML) Engineer you will be responsible for developing AI Labs' machine learning platform and creating production ready AI-based solutions and models for high impact areas in Parexel … within Parexel, driving AI education and providing expert guidance across the company. Key Accountabilities: ML and Natural Language Processing (NLP) Technology Leverage proprietary technology stack to build custom machine learning models. Design , implement, and document new ML/NLP modeling techniques and strategies. Develop Back-end/server-side software to support AI solution development and serving. Build internal … frameworks, libraries, and infrastructure to improve machine learning and NLP capabilities to allow for rapid prototyping and new product delivery. Review and adapt recent research in ML and NLP into prototypes and production solutions. Review and improve the code of other engineers to enhance ML quality and security. Applied ML POCs and Experimentation Understand business needs and user workflows 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 ❯

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 ❯

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 ❯

shift by doing work that matters. Job Description Role Overview The Lead Data Scientist is responsible for developing and deploying advanced AI/ML models, leveraging statistical techniques, machine learning, and deep learning to extract actionable insights. This role requires strong expertise in Python-based AI/ML development, big data processing, and cloud-based AI platforms … Data Exploration & Feature Engineering Perform thorough Exploratory Data Analysis (EDA) and identify key variables, patterns, and anomalies. Engineer and select features for optimal model performance, leveraging domain understanding. Machine Learning & Statistical Modelling Implement both classical ML methods (regression, clustering, time-series forecasting) and advanced algorithms (XGBoost, LightGBM). Address computer vision, NLP, and generative tasks using PyTorch, TensorFlow, or … plan, company performance bonuses, value-based recognition awards, referral bonus; Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; Work-Life Balance: Hybrid work and flexible working More ❯

Fitch Group is currently seeking a Lead Machine Learning Engineer, Associate Director based out of our Manchester 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 … dual headquarters in London and New York, Fitch Group is owned by Hearst. 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 … deployment of AI Establish and maintain guidelines and processes for AI/ML governance How You'll Make an Impact: Lead and manage a team of 2-3 machine learning engineers, balancing direct leadership with technical contributions to projects Oversee the design, development, and deployment of scalable AI/ML solutions, focusing on advanced generative AI frameworks, large language More ❯

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 … dual headquarters in London and New York, Fitch Group is owned by Hearst. 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 … deployment of AI Establish and maintain guidelines and processes for AI/ML governance How You'll Make an Impact: Lead and manage a team of 2-3 machine learning engineers, balancing direct leadership with technical contributions to projects Oversee the design, development, and deployment of scalable AI/ML solutions, focusing on advanced generative AI frameworks, large language More ❯

Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: Senior Machine Learning Engineer, London Requisition ID: 47814 Business Unit: Fitch Group Category: Information Technology Location: London, GB Date Posted: May 17, 2025 Fitch Group is currently seeking a Senior Machine Learning Engineer based out of our London office. As … difference. Wa nt to learn mo re about a career in technology and data at Fitch? The Fitch Group’s AI Implementation Chapter is seeking a seasoned Senior Machine Learning Engineer with 6+ years of experience to drive advanced AI/ML initiatives across the Fitch Ratings organization. In this role, you will not only design and implement enterprise … and ML solutions into existing products and systems, including working with LLMs and agentic workflows. Proficiency in Python and strong knowledge of ML algorithms—ranging from classical techniques to deep learning methods. Proven experience in training, fine-tuning, and deploying neural network models using frameworks like PyTorch, with a focus on optimizing performance and scalability for realworld applications. More ❯

simple to switch and save money and that’s why good things happen when you meerkat. We’d love you to be part of our journey. As a Machine Learning Engineer, you will be working closely with data scientists and a wide range of business and tech stakeholders with varying levels of understanding towards Machine Learning, and will … identify the tech requirements to productionise automated, scalable and stable Machine Learning products integrated into production systems that deliver actions and/or actionable insights. Everyone is welcome. We have a culture of creativity. We approach our work passionately, improve constantly and celebrate our wins at every turn. We are an inclusive workplace and our employees are comfortable bringing … would love to hear what makes you great for this role. Some of the great things you’ll be doing: Develop, maintain, monitor (health & performance) and optimise integrated Machine Learning products. Work closely with Data Engineering, Platform and Architecture teams to improve and develop new products, integrations, tools and technologies. Work with data scientists to productionise various ML models More ❯

Join to apply for the Machine Learning Engineer role at Compare the Market Join to apply for the Machine Learning Engineer role at Compare the Market Our purpose is to make great financial decision making a breeze for everyone, and that purpose drives us every day. It’s why we’re on a mission to create an automated … simple to switch and save money and that’s why good things happen when you meerkat. We’d love you to be part of our journey. As a Machine Learning Engineer, you will be working closely with data scientists and wide range of business and tech stakeholders with varying levels of understanding towards Machine Learning, and will identify … the tech requirements to productionise automated, scalable and stable Machine Learning products integrated into production systems that deliver actions and/or actionable insights. Everyone is welcome. We have a culture of creativity. We approach our work passionately, improve constantly and celebrate our wins at every turn. We are an inclusive workplace and our employees are comfortable bringing their More ❯

Fitch Group is currently seeking a Machine Learning Engineer based out of our Manchester 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 Group's culture … analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst. About the Team The Fitch Group's AI Implementation Chapter is seeking a Machine Learning Engineer to be part of a team dedicated to building and supporting Generative AI, Machine Learning (ML) and Data Science solutions across the Fitch Ratings organization. This position … Exposure/experience in containerization technologies like Docker, Kubernetes, AWS EKS etc. Proficiency in ML algorithms, such as multi-class classification, decision trees, support vector machines, and neural networks (deep learning experience strongly preferred) Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g., AWS Bedrock, S3, SageMaker; Azure AI Search, OpenAI, blob storage, etc. Bachelor More ❯