1,651 to 1,675 of 4,956 Machine Learning Jobs in the UK

Applied Scientist II, Digital Acceleration The Digital Acceleration (DA) team in India is seeking a talented, self-driven Applied Scientist to work on prototyping, optimizing, and deploying ML algorithms for solving Digital business problems. Key job responsibilities: - Research, experiment and build Proof Of Concepts advancing the state of the art in AI & ML. - Work cross-functionally across engineering, product, and … for critical issues Basic Qualifications: - Experience building machine learning models or developing algorithms for business application - PhD, or a Master's degree and experience in CS, CE, ML or related field - Rapidly prototype ML/LLM solutions, evaluate feasibility, and drive projects to production deployment - Knowledge of programming languages such as C/C++, Python, Java or Perl … fast paced, highly collaborative, dynamic work environment BASIC QUALIFICATIONS - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of More ❯

plans to massively grow out their Data & AI team, and with VC backing the sky is the limit! Role Overview: The client is looking for a talented Data/ML engineer to come in as a consultant to work on a large variety of projects across multiple industries. The role will utilise all the latest AI tech including Gen-AI … ML and Open AI. As a consultant you will be working directly with clients to understand business needs and implement industry best AI solutions accordingly. Requirements: Strong Python experience, particularly for AI/ML use Experience with cloud technology, Azure preferred Data Science, Machine Learning and AI tech experience Benefits: 10% Bonus Remote Working 25 Days Annual Leave … grow your career working for a top Microsoft partner, interviews are already underway so don't miss your chance. Apply Now! Contact - (url removed)//(phone number removed) ML, Machine Learning, AI, Artificial Intelligence, Data Science, Azure, ADF, Data Engineer, Azure Data Factory, Data Consultant, Consultancy, Microsoft, API, D365, Data Architect, Pre-Sales, Consultant More ❯

defence, security, and commercial domains. This is a highly collaborative role, offering the opportunity to work in multi-disciplinary teams and contribute to a broad portfolio of AI/ML projects. It also provides scope to engage with academic institutions, SMEs, and technical partners, while shaping future research directions. Key Responsibilities: Lead and deliver research projects in NLP, knowledge representation … often in collaboration with leading UK universities. Direct technical teams, ensuring timely delivery of high-quality technical outputs including reports, demonstrators, and proposals. Develop and prototype innovative AI/ML solutions with practical applications. Support the generation of new business through the preparation of successful R&D proposals. Present technical work effectively to both specialist and non-specialist audiences. Take … research and development teams, typically with five or more members. Strong record in securing and delivering funded R&D projects. Proficient programming skills in Python, with extensive experience in ML development using libraries and toolkits. Familiarity with at least one major ML framework such as TensorFlow or PyTorch. Desirable Technical Expertise: Candidates should demonstrate expertise (through publications, industrial applications, or More ❯

should be used to solve customer problems. Lead the technical discovery to understand the alignment between what Kumo offers and prospective customer expectations. Conduct product demos of Kumo solving ML problems in a variety of verticals, including finance/fraud, growth/marketing, personalization/commerce, and forecasting/optimization. Guide the customer to achieve meaningful wins on high-impact … ML problems, by leveraging your problem-solving skills, data science knowledge, and industry experience. Be hands-on, to help customers overcome challenges they may encounter in achieving sufficient model performance, or integrating Kumo into their production systems. Lead architecture reviews and security assessments. Maintain meaningful relationships with technical influencers and champions within ML teams, both pre and post-sale. Educate … we can drive repeatable successes in PoCs. Generate Kumo platform educational materials to disseminate amongst current users or prospects. Your Foundation: Someone who finds genuine satisfaction in solving customer ML problems and helping them deliver value to the business. 5+ years of relevant professional experience working with external customers in deploying AI/ML/data science solutions in production More ❯

within a leading-edge AI and data science capability. This is a unique opportunity to shape the future of knowledge-driven AI, working at the intersection of knowledge graphs, machine learning, NLP, and semantic reasoning-supporting missions across defence, security, and advanced technologies. Working within a multi-disciplinary research team, you'll lead the development of innovative solutions … capability. What you'll be doing: Leading technical delivery of applied AI projects in NLP, semantics, and knowledge representation Developing prototypes and proof-of-concept tools using Python and ML frameworks Securing research funding and writing technical proposals Mentoring junior researchers and providing technical leadership across graph and semantic AI Presenting to customers and stakeholders across defence, security, and research … communities What we're looking for: PhD (or equivalent experience) in a relevant AI/ML discipline 4+ years of postdoctoral or industry experience leading research teams Strong programming skills in Python and experience with frameworks like PyTorch or TensorFlow Deep expertise in one or more of: NLP, LLMs, graph machine learning, semantic AI, or knowledge graphs Proven More ❯

Senior Data Engineer – ML, Azure Salary £70 - £80k + Benefits + Hybrid working We are looking for an experienced Data Engineer to join a growing SaaS business investing in Data decision making as they expand their product offering. Their products provide a positive social impact to a massive customer base, so applications from candidates who value a genuine connection to … the products they develop are welcomed. The Senior Data engineer will play a key role in the development and implementation of data and machine learning algorithms to facilitate new product design and shape relevant decision making across the business. This company offer flexible hybrid working with 1-2 days per week in their offices, which are commutable from … Woking, Farnborough, Crawley areas. Required skills and technologies 5+ years’ experience in a Data Engineering, Machine Learning, or similar role using Python Microsoft environments and the Azure platform – Azure Data pipelines, Azure Machine Learning, Azure Data Factory, Data Bricks, etc Full cycle, end to end Data model/Predictive model development, working with software engineers and More ❯

TypeScript Python AWS Director of AI Engineering - Hands on - Remote - Outside IR35 - AI/ML - Python - AWS - LLM - PHD My client has an urgent need for a Director of AI Engineering; this is very much a hands-on role but someone who has previous experience working in a lead/architecture position. In order to be considered for this role … you will need to have - An extensive background in applied machine learning with a focus on deep learning … NLP and generative AI. Successfully delivered large-scale AI projects. Experience designing and implementing novel AI architectures or algorithms in real-world products. Excellent experience with Python and advanced ML/LLM frameworks. Expertise implementing LLM-based systems and agent architecture Experience of API design principles. Understanding of agentic AI concepts and frameworks. Typescript & AWS CDK. CI/CD AWS More ❯

If you're passionate about machine learning and data science and ready to lead a team building groundbreaking technology with real-world impact, this role offers a rare opportunity. An innovative software platform is seeking a seasoned leader to oversee its data science function. In this pivotal role, you'll guide both strategic direction and technical execution of … through predictive insights rooted in customer behaviour. You'll lead a talented team of data scientists, shaping a collaborative, high-performing group. Your focus will be driving innovation, scaling ML systems, and aligning technical efforts with business outcomes. You'll work with senior leadership and collaborate across departments to ensure machine learning delivers real, lasting value. This role … offers a blend of strategic influence and hands-on impact. You'll define how machine learning evolves while ensuring solutions are robust, scalable, and commercially relevant. From improving processes to evaluating new tools, you'll have the freedom and responsibility to set the pace. The ideal candidate has at least eight years of experience in machine learning More ❯

teams, you will own the vision, strategy, and execution for the foundational services of the product. Your primary objective is to drive the evolution of cloud-native infrastructure and machine learning capabilities to support scalability, innovation, and new product features. The Technical Environment: You will be responsible for roadmaps concerning a modern, evolving tech stack, including: Cloud Infrastructure … as Code ( Terraform ), and monitoring frameworks to improve deployment frequency and system reliability. Key Technical Responsibilities: Define and execute the product roadmaps for the core Platform and AI/ML teams, aligning them with business goals and the needs of other product squads. Act as the primary technical product partner for other Product Managers, ensuring the platform's capabilities are … cloud technologies, specifically AWS , and system architecture design. Deep understanding of microservices , Docker , security best practices, DevOps principles, CI/CD , and system monitoring. Direct experience with AI/ML products, including MLOps and the productization of machine learning models (both traditional and generative). Proven ability to bridge business and technical perspectives to make informed trade-offs More ❯

teams, you will own the vision, strategy, and execution for the foundational services of the product. Your primary objective is to drive the evolution of cloud-native infrastructure and machine learning capabilities to support scalability, innovation, and new product features. The Technical Environment: You will be responsible for roadmaps concerning a modern, evolving tech stack, including: Cloud Infrastructure … as Code ( Terraform ), and monitoring frameworks to improve deployment frequency and system reliability. Key Technical Responsibilities: Define and execute the product roadmaps for the core Platform and AI/ML teams, aligning them with business goals and the needs of other product squads. Act as the primary technical product partner for other Product Managers, ensuring the platform's capabilities are … cloud technologies, specifically AWS , and system architecture design. Deep understanding of microservices , Docker , security best practices, DevOps principles, CI/CD , and system monitoring. Direct experience with AI/ML products, including MLOps and the productization of machine learning models (both traditional and generative). Proven ability to bridge business and technical perspectives to make informed trade-offs More ❯

teams, you will own the vision, strategy, and execution for the foundational services of the product. Your primary objective is to drive the evolution of cloud-native infrastructure and machine learning capabilities to support scalability, innovation, and new product features. The Technical Environment: You will be responsible for roadmaps concerning a modern, evolving tech stack, including: Cloud Infrastructure … as Code ( Terraform ), and monitoring frameworks to improve deployment frequency and system reliability. Key Technical Responsibilities: Define and execute the product roadmaps for the core Platform and AI/ML teams, aligning them with business goals and the needs of other product squads. Act as the primary technical product partner for other Product Managers, ensuring the platform's capabilities are … cloud technologies, specifically AWS , and system architecture design. Deep understanding of microservices , Docker , security best practices, DevOps principles, CI/CD , and system monitoring. Direct experience with AI/ML products, including MLOps and the productization of machine learning models (both traditional and generative). Proven ability to bridge business and technical perspectives to make informed trade-offs More ❯

be doing: The Quantitative Researcheris a key role within the algorithmic technical space at Dare. Working closely with a talented algorithmic andtechnical team to build a platform that delivers ML capabilities to ourLiquidity trading teams. These teams are responsible for delivering products for internal customers. Setting and delivering a consistent, scalable approach to machine learning across the organisation … delivers models that provide our traders with a competitive edge. Using Dare's proprietary trading data and models to drive trading PNL. Developing trading indicators and strategies powered by machine learning. Partnering with quantitative research and algorithmic trading technology teams. Collaborating with the CEO and other senior stakeholders to combine domain knowledge with engineering expertise. What you'll bring … advantageous. A background in maths, statistics, and algorithms, with the capability to write robust scalable Python code. A strong understanding of the mathematical and statistical fundamentals on which the ML methods are based. We want someone who understands the methods rather than just calling functions from existing ML packages. Experience with production data processing. That includes data manipulation, data cleansing More ❯

We’re looking for a Senior Data Scientist to join our ambitious, impact-driven team based in London. You’ll play a key role in designing and deploying advanced machine learning systems that solve complex real-world challenges across a wide range of industries—from climate risk and healthcare to international development and beyond. This is an opportunity … that genuinely make a difference in the world. What’s in it for you? Real-World Impact : Apply your expertise to projects that address meaningful global problems—combining deep learning, NLP, computer vision, and causal inference to deliver insights where they matter most. Technical Leadership : Influence the architecture and direction of AI systems while working with a diverse, cross … learning techniques. Proven ability to lead end-to-end AI projects—from data exploration and model development to deployment and evaluation. Expert-level proficiency in Python and ML libraries such as Scikit-learn, XGBoost, TensorFlow, PyTorch, and/or Hugging Face. Experience working with large-scale datasets, cloud platforms (AWS/GCP), and ML Ops tools is a More ❯

We’re looking for a Senior Data Scientist to join our ambitious, impact-driven team based in London. You’ll play a key role in designing and deploying advanced machine learning systems that solve complex real-world challenges across a wide range of industries—from climate risk and healthcare to international development and beyond. This is an opportunity … that genuinely make a difference in the world. What’s in it for you? Real-World Impact : Apply your expertise to projects that address meaningful global problems—combining deep learning, NLP, computer vision, and causal inference to deliver insights where they matter most. Technical Leadership : Influence the architecture and direction of AI systems while working with a diverse, cross … learning techniques. Proven ability to lead end-to-end AI projects—from data exploration and model development to deployment and evaluation. Expert-level proficiency in Python and ML libraries such as Scikit-learn, XGBoost, TensorFlow, PyTorch, and/or Hugging Face. Experience working with large-scale datasets, cloud platforms (AWS/GCP), and ML Ops tools is a More ❯

technology consultancy is seeking a Research Scientist – Knowledge & Semantics to lead a small team of experts exploring cutting-edge AI solutions across knowledge representation, NLP, LLMs, and graph-based machine learning. The organisation plays a pivotal role in delivering advanced research for secure government and national security clients, often operating at the intersection of AI, autonomy, cyber, and complex … tier academic institutions and SMEs on mission-led innovation in data and decision support systems. Key Responsibilities • Drive applied and novel research in knowledge representation, semantics, and graph-based ML • Lead the delivery of technical reports, research proposals, and PoC demonstrators • Mentor junior researchers and manage technical delivery across projects • Present findings to both technical and non-technical audiences • Engage … R&D teams (ideally 5+ people) • Demonstrated success in writing and winning technical research proposals (especially within Defence or public sector R&D environments) • Advanced skills in Python and ML frameworks (TensorFlow, PyTorch) • Deep experience in one or more of the following: o Knowledge graphs & graph ML (e.g. PyTorch-Geometric, Neo4j) o NLP and information extraction (transformer-based models desirable More ❯

We’re looking for a Senior Data Scientist to join our ambitious, impact-driven team based in London. You’ll play a key role in designing and deploying advanced machine learning systems that solve complex real-world challenges across a wide range of industries—from climate risk and healthcare to international development and beyond. This is an opportunity … that genuinely make a difference in the world. What’s in it for you? Real-World Impact : Apply your expertise to projects that address meaningful global problems—combining deep learning, NLP, computer vision, and causal inference to deliver insights where they matter most. Technical Leadership : Influence the architecture and direction of AI systems while working with a diverse, cross … learning techniques. Proven ability to lead end-to-end AI projects—from data exploration and model development to deployment and evaluation. Expert-level proficiency in Python and ML libraries such as Scikit-learn, XGBoost, TensorFlow, PyTorch, and/or Hugging Face. Experience working with large-scale datasets, cloud platforms (AWS/GCP), and ML Ops tools is a More ❯

technology consultancy is seeking a Research Scientist – Knowledge & Semantics to lead a small team of experts exploring cutting-edge AI solutions across knowledge representation, NLP, LLMs, and graph-based machine learning. The organisation plays a pivotal role in delivering advanced research for secure government and national security clients, often operating at the intersection of AI, autonomy, cyber, and complex … tier academic institutions and SMEs on mission-led innovation in data and decision support systems. Key Responsibilities • Drive applied and novel research in knowledge representation, semantics, and graph-based ML • Lead the delivery of technical reports, research proposals, and PoC demonstrators • Mentor junior researchers and manage technical delivery across projects • Present findings to both technical and non-technical audiences • Engage … R&D teams (ideally 5+ people) • Demonstrated success in writing and winning technical research proposals (especially within Defence or public sector R&D environments) • Advanced skills in Python and ML frameworks (TensorFlow, PyTorch) • Deep experience in one or more of the following: o Knowledge graphs & graph ML (e.g. PyTorch-Geometric, Neo4j) o NLP and information extraction (transformer-based models desirable More ❯

Join us at the heart of the Kumo Graph Neural Network and Relational Deep Learning architecture, where you'll play a pivotal role in shaping and expanding its capabilities. You'll drive innovative designs that enhance our GNN backbone and integrate cutting-edge temporal learning strategies. Your work will bridge the gap between foundational models and GNNs, tackling … diverse use cases like recommendation systems, customer retention, forecasting, and fraud detection. Leverage your expertise in machine learning and AI to solve critical challenges, creating scalable and adaptable solutions that push the boundaries of what's possible. Get ready to make a significant impact in a dynamic and exciting environment! Your Foundation: You want to solve … real-world problems and get things done. Ph.D. in Computer Science or Machine Learning or related technical discipline, or related practical experience. 3+ years experience in designing ML algorithm solutions 2+ graph-based machine learning papers at top venues such as NeurIPS, ICLR, ICML, etc Well experienced in Python and its deep learning framework ecosystem More ❯

devices. Your role will involve: Driving research and development in areas such as on-device large language and vision-language models (LLMs/VLMs), adaptive inference, and efficient mobile ML systems. Contributing to both ongoing research agendas and helping define new directions that push the boundaries of AI on edge devices. Collaborating closely with cross-functional teams across research and … product engineering to transition ML innovations from prototypes into production. Designing and developing novel machine learning algorithms and system-level optimizations that enable scalable, high-performance AI experiences on-device. Translating theoretical work into applied solutions and supporting the commercialization of AI technologies for deployment at scale. Preparing technical documentation, contributing to publications, and supporting the creation of … Engineering, or a related field; or equivalent research experience in industry or academia. Open to applicants across a range of seniority levels with relevant expertise. Core Skills: Proficiency with ML frameworks such as PyTorch, TensorFlow, or JAX. Experience in efficient ML techniques (e.g., quantization, pruning, sparsity, distillation). Practical knowledge of AI deployment on embedded/mobile platforms, including CPUs More ❯

division of Qualcomm, and we are growing our team because Edge AI is an important part of Qualcomm's diversification roadmap. Edge Impulse streamlines the creation of AI and machine learning models for edge hardware, allowing devices to make decisions and offer insight where data is gathered. Powerful automations make it easier to build valuable datasets and develop … planet's biggest problems with novel high-tech solutions. Used by health and wearable organizations, industrial organizations, as well as top silicon vendors, Edge Impulse has become the trusted ML platform for enterprises and developers alike. We are growing! This technical pre-sales engineering opportunity works with our customers to build and optimize their data management and machine learning … solutions. • Experience developing embedded or cloud software (python, C/C++, or equivalent) with exposure to Linux or RTOSs. • Experience with data analysis & machine learning, including Python ML & data libraries (e.g. TensorFlow, Keras, PyTorch, NumPy, Pandas, or equivalent). • Experience developing, launching, or maintaining technical products in relevant commercial industries (e.g. industrial, medical, automotive, IoT, or related markets More ❯

applyingadvanced software engineering skills to build technologies that support our drugdiscovery efforts. Your key responsibilities include development of training data workflows for the training of machine-learning (ML) models and scalable deployment of machine-learning technologies, and creation, testing and maintenance of software systems.This role is remote, with preference for candidates on the US East Coast … or in the UK. KEY RESPONSIBILITIES Work in a cross-functional team that spans the full domain of drug discovery. Provide software development support to the ML model life cycle, working in the design and development of: Efficient and maintainable data pipelines Benchmarking systems of models Deployments to AWS and use of Kubernetes (in collaboration with our cloud engineers) Collaborate … and maintenance of software systems Code review for pull requests in adjoining areas Maintenance of and mentorship in software best practices, including version control, testing and documentation Collaboration with ML scientists and others in the company to understand requirements for deployed models Clear oral communication of work in meetings and company demos, at a level suited to the audience QUALIFICATIONS More ❯

that will help our customers imagine, design, and make a better world. We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision … graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction. This role will report to a Manager of Research Science in the AI Lab. Responsibilities Develop new ML models and AI techniques Lead on research projects within a global team Review relevant AI/ML literature to identify emerging methods, technologies, and best practices Explore new data sources … and discover techniques for best leveraging data Minimum Qualifications A Master's or PhD in a field related to AI/ML such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, and deploying production-ready solutions) Familiarity More ❯

specialized security solutions for their cloud services. Are you interested in Machine Learning and AI? Are you passionate about developing solutions to improve the data quality for ML models ? Are you passionate in writing high quality code? Then, this is the right opportunity for you AWS NGDE team is looking for talented System Development Engineers to develop optimized … solutions to create high quality information for the ML services to improve the developer experience. Our team's mission is to make machine learning easy, stronger, and universal in the world of Natural Language and Speech. We developed thriving ML services such as Comprehend, Kendra, Lex and Transcribe. We continuously work on adding new services to our portfolio … deep learning techniques and highly scalable distributed systems engineering. System development Engineers in our team will be responsible to dive deep into the new data requirements for the ML models and deliver optimized solutions in a massive scale. He/She will refactor and optimize our existing solutions to enhance the ML models. He/She will work with More ❯

AI Engineer with strong Python expertise to design and implement machine learning solutions for extracting structured data from unstructured documents. The role involves selecting suitable AI/ML tools, developing processing pipelines, and fine-tuning models to improve document understanding and clause extraction. Responsibilities: Identify and integrate AI/ML tools for automated document parsing. Build and maintain … to align models with user needs. Optimize model performance for named entity recognition and classification tasks. Support deployment and integration into existing systems. Requirements: Proficient in Python and common ML/NLP libraries Hands-on experience with NLP applications for document or text analysis. Skilled in named entity recognition (NER), text classification, and information extraction methods. Comfortable working in Agile … environments and cross-functional teams. Strong analytical mindset and ability to solve complex technical problems. Familiarity with cloud ML platforms (AWS, Azure, or GCP). Apply now for immediate consideration. No sponsorship available, must hold citizenship or ILR. More ❯

of a world-class data lead organisation who are continuously moving forward with the latest AI trends? This company is a true innovator in building data-driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. This person will be a senior engineer who will help both define and build … the companies AI strategy moving forward. In the role you will be building large scale machine learning systems, apply the latest techniques whilst working with an elite team of researchers and engineers. No day will be the same, you will get to work on Driving end to model development lifecycle, leading the team in best practices, ensuring reproducible … programming skills Hands on experience working within areas such as NLP, LLM, recommendation systems Information Retrieval stacks, GenAI (specifically RAG systems). Familiar with architecture and implementation of 1+ ML frameworks (PyTorch, scikit-learn). Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). Good knowledge of AWS’s machine learning infrastructure. More ❯