76 to 100 of 6,638 Machine Learning Jobs in the UK

career and the solutions we deliver for our clients. As a Data Science Consultant Architecture focus, you will: Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics. Understand business requirements and support the development of business cases. Run discovery analytics … to identify new and innovative opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future business problems. Consult on complex … analyses and advanced machine learning methods. Communicate and provide guidance to senior client leadership and teams. Contribute data science expertise to new sales activities. Shape DS Strategy and the delivery of DS solutions. Operate across multiple industries and functions. Develop others by bringing your unique knowledge and skillsets More ❯

the heart of trust. As part of the MLOps team, you'll work closely with data scientists, software engineers, and other stakeholders to bring machine learning models to life-ensuring they're deployed, maintained, and monitored efficiently in production. You'll have the opportunity to improve model performance … Build Pipelines: Develop and maintain data and model pipelines, integrating seamlessly with our existing systems to support reliable, efficient workflows. CI/CD for ML: Design and implement continuous integration and delivery pipelines to streamline the deployment of machine learning models. Model Monitoring: Help monitor the performance of … in both machine learning and software engineering. Experience deploying machine learning models in production environments. Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with cloud platforms like GCP, AWS, or Azure. Experience with CI/CD pipelines for machine More ❯

the heart of trust. As part of the MLOps team, you'll work closely with data scientists, software engineers, and other stakeholders to bring machine learning models to life-ensuring they're deployed, maintained, and monitored efficiently in production. You'll have the opportunity to improve model performance … Build Pipelines: Develop and maintain data and model pipelines, integrating seamlessly with our existing systems to support reliable, efficient workflows. CI/CD for ML: Design and implement continuous integration and delivery pipelines to streamline the deployment of machine learning models. Model Monitoring: Help monitor the performance of … in both machine learning and software engineering. Experience deploying machine learning models in production environments. Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with cloud platforms like GCP, AWS, or Azure. Experience with CI/CD pipelines for machine More ❯

the heart of trust. As part of the MLOps team, you'll work closely with data scientists, software engineers, and other stakeholders to bring machine learning models to life-ensuring they're deployed, maintained, and monitored efficiently in production. You'll have the opportunity to improve model performance … Build Pipelines: Develop and maintain data and model pipelines, integrating seamlessly with our existing systems to support reliable, efficient workflows. CI/CD for ML: Design and implement continuous integration and delivery pipelines to streamline the deployment of machine learning models. Model Monitoring: Help monitor the performance of … in both machine learning and software engineering. Experience deploying machine learning models in production environments. Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with cloud platforms like GCP, AWS, or Azure. Experience with CI/CD pipelines for machine More ❯

Job Description: We are seeking a talented and motivated Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in machine learning, data analysis, and software development. You will be responsible for designing, developing, and deploying machine learning models to solve complex problems and improve our products. Key Responsibilities: Develop and implement machine learning algorithms and models. Analyze large datasets to extract meaningful insights. Collaborate with cross-functional teams to integrate machine learning solutions. Optimize and maintain existing machine learning models. … Stay updated with the latest trends and advancements in machine learning and AI. Requirements: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Proficiency in programming languages such as Python, R, or Java. Strong understanding of mathematics and statistics. Experience with machine More ❯

Machine Learning & Computer Vision Engineer Machine Learning & Computer Vision Engineer 1 week ago Be among the first 25 applicants Direct message the job poster from Zori Tex Job Title: Machine Learning, Computer Vision & Data Science Engineer Location: Hybrid (London) - Flexible arrangements may be considered … tech start-up on a mission to drive circularity in the fashion and textile industry. We are pioneering AI-powered textile waste sorting, combining machine vision and deep learning to optimise the availability of textiles for closed-loop recycling. We have an established machine learning pipeline … has significant potential for growth, with the possibility of evolving into a leadership position for the right candidate. Key Responsibilities: Develop and optimise deep learning models. Apply machine learning to complex hyperspectral imaging and RGB datasets. Enhance dataset quality, including data augmentation and synthetic data approaches. Apply More ❯

techniques. We are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo. Machine Learning (ML) Engineers work in cross-functional teams of engineers, data scientists, and product managers to build the algorithmic products that power the company. We are embedded … in product teams, close to the business problems and go after some of the hardest problems. ML Engineers translate a fuzzy business problem to a concrete pipeline that we design and implement. We then work closely with the engineers to deploy our models to production and with data scientists to … run experiments based on these algorithms. ML Engineers at Deliveroo report into our Science management team, and we have a strong, active data science community with guest lecturers, a robust technical review process, a career progression framework, and plenty of opportunities to learn new things. We have career pathways for More ❯

techniques. We are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo. Machine Learning (ML) Engineers work in cross-functional teams of engineers, data scientists, and product managers to build the algorithmic products that power the company. We are embedded … in product teams, close to the business problems and go after some of the hardest problems. ML Engineers translate a fuzzy business problem to a concrete pipeline that we design and implement. We then work closely with the engineers to deploy our models to production and with data scientists to … run experiments based on these algorithms. ML Engineers at Deliveroo report into our Science management team, and we have a strong, active data science community with guest lecturers, a robust technical review process, a career progression framework, and plenty of opportunities to learn new things. We have career pathways for More ❯

causaLens is the pioneer of Causal AI - a giant leap in machine intelligence. We are on a mission to build truly intelligent machines , machines that truly understand cause and effect- it's hard but super fun! If you want to build the future and are looking for a place … our website homepage and watch the 'Why Causal AI' video to learn more. The Role We are seeking a motivated and high-achieving Lead Machine Learning Engineer to join our Product team in London. In this leadership role, you will spearhead the development of our Causal AI platform … a plus). Experience in developing Large Language Models (LLMs) is advantageous. In-depth understanding of computer architecture and its implications on AI/ML performance. Comprehensive knowledge of the software development life cycle, including best practices in version control, testing, and deployment. Proven ability to lead and mentor teams More ❯

learning models to address customer needs in demand planning and inventory optimization. Shape and enhance our tech stack, tooling, and processes to optimize ML/AI capabilities. Conduct code reviews and support ongoing improvements in machine learning and data science processes, explainability, and visibility. Tech Stack You … ll Be Working With Languages : Python, SQL (Postgres) ML/AI Libraries : TensorFlow, PyTorch, scikit-learn, Pandas/Polars Infrastructure : Docker, AWS Sagemaker, EKS, Lambda, Athena Orchestration & Data Tools : Dagster (or Airflow), ClickHouse, MLFlow We pride ourselves on being technologically adaptable. While the above is our current tech stack, we … What Autone offers you High Impact : As a Machine Learning Engineer at Autone, you'll have a central role in shaping our ML and data science strategy. Creative Freedom : Significant ownership over model development and deployment, with room to innovate. Career Growth : A meritocratic, high-growth environment where More ❯

this role, your primary focus will be on combining strong software engineering principles with machine learning expertise to build robust, production-grade ML platforms and pipelines to support the delivery of advanced analytics and machine learning models for our eCommerce partners as a part of Amazon … s new generation of Paid Services. You will work directly with Applied Scientists to productionize ML models, Software Development Engineers to build scalable infrastructure, Data/BI Engineers to implement scalable ML-ready data pipelines, and Product Managers to drive the roadmap and vision for Paid Services. As a member … future capabilities. This position is ideal for candidates with a strong background in software engineering and machine learning systems, demonstrated experience in ML lifecycle management and infrastructure development, and a passion for building scalable ML solutions that drive tangible business impact through our vendor partnerships. Key job responsibilities More ❯

Job Title: Machine Learning Research Scientist Location: Cambridge/Hybrid Salary: £depending on experience + benefits Company Overview: Our client is a pioneering machine learning and artificial intelligence software house, renowned for developing some of the most advanced technologies in the AI domain. The team is … of mathematicians, engineers, and is led by experienced entrepreneurs known for creating award-winning tech companies. Job Description: We are seeking a highly skilled Machine Learning Research Scientist to join our innovative team. The ideal candidate will have a PhD in a mathematical, scientific, engineering, or computing subject … strictest confidence, and we will always speak to you before discussing your CV with any potential employer. Keywords: PhD, AI, Cambridge, Adecco, LLM, NLP, ML More ❯

this role, your primary focus will be on combining strong software engineering principles with machine learning expertise to build robust, production-grade ML platforms and pipelines to support the delivery of advanced analytics and machine learning models for our eCommerce partners as a part of Amazon … s new generation of Paid Services. You will work directly with Applied Scientists to productionize ML models, Software Development Engineers to build scalable infrastructure, Data/BI Engineers to implement scalable ML-ready data pipelines, and Product Managers to drive the roadmap and vision for Paid Services. As a member … future capabilities. This position is ideal for candidates with a strong background in software engineering and machine learning systems, demonstrated experience in ML lifecycle management and infrastructure development, and a passion for building scalable ML solutions that drive tangible business impact through our vendor partnerships. Key job responsibilities More ❯

If you are passionate about driving solutions using data and artificial intelligence, then you have found the right team! As an Applied Artificial Intelligence & Machine Learning Lead - Vice President in Operations, you will be working inside an applied Artificial Intelligence team at the forefront of innovation, leveraging cutting … edge technologies to improve the Software Engineering processes and practice. You will be interacting with software engineers, business stakeholders, and machine learning engineers and researchers, to identify opportunities for efficiency improvements in the different parts of the software development lifecycle. Job responsibilities Formulates, communicates, and drives implementation of … Artificial Intelligence solutions for challenging problems in the intersection of our supported business and software engineering Builds robust, scalable, and reusable Artificial Intelligence and Machine Learning capabilities Works with software engineering to design and deploy services that can be integrated with strategic systems and processes Learns about and More ❯

Snapshot Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and … to discuss this further throughout the interview process. The Role In this role, you will work at the cutting edge of power systems and machine learning within a dedicated, impactful team of engineers and scientists at Google DeepMind. You will be instrumental in developing and deploying innovative AI … entire lifecycle of our projects, from foundational modeling of power system components and data generation to the implementation, testing, and real-world deployment of machine learning models. Key responsibilities: Develop and maintain accurate computational models of electrical power grid components (e.g., transmission lines, transformers, generators, switches) and their More ❯

solutions at the cutting edge of machine learning and AI. If that excites you, we'd love to chat. The AI/ML Clinical Development team is responsible for creating AI/ML applications to support the development of GSK's assets (Pharma and Vaccine), from early to … to be transformative in drug development, empowering us to find new life saving medicines. We are looking for a Senior Director of AI/ML Engineering - Foundation Models in Medical Imaging. This is a technical management track role with responsibility for building out a team in this domain. The candidate … important will be excellent communication, interpersonal and organizational skills, and the ability to represent and transmit the values and principles of our AI/ML team. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and More ❯

We are seeking a highly skilled and motivated Senior Machine Learning Engineer to join this team in London. This role offers a unique opportunity to engage in cutting-edge research while applying your engineering expertise to … develop and deploy machine learning solutions. Key Responsibilities: Conduct and publish advanced machine learning research. Design, develop, and deploy scalable ML models with cross-functional teams. Lead implementation of ML algorithms, ensuring code quality and optimization. Oversee the ML lifecycle from data collection to deployment. Stay … informed on ML advancements to drive team innovation. Qualifications: Advanced degree (Ph.D. preferred) in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Proven experience in conducting research and publishing in top-tier journals or conferences. Strong programming skills in languages such as Python, C++, or Java More ❯

We are seeking a highly skilled and motivated Senior Machine Learning Engineer to join this team in London. This role offers a unique opportunity to engage in cutting-edge research while applying your engineering expertise to … develop and deploy machine learning solutions. Key Responsibilities: Conduct and publish advanced machine learning research. Design, develop, and deploy scalable ML models with cross-functional teams. Lead implementation of ML algorithms, ensuring code quality and optimization. Oversee the ML lifecycle from data collection to deployment. Stay … informed on ML advancements to drive team innovation. Qualifications: Advanced degree (Ph.D. preferred) in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Proven experience in conducting research and publishing in top-tier journals or conferences. Strong programming skills in languages such as Python, C++, or Java More ❯

mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should … have existing skills in Machine Learning (ML), will need to be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. Candidates will also have the opportunity to mix technical challenges with customer-facing and project support tasks. In … mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. Typical Responsibilities: Propose and lead novel research in given topic areas, often in partnership with leading UK Universities. Lead technical delivery of More ❯

mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should … have existing skills in Machine Learning (ML), will need to be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. Candidates will also have the opportunity to mix technical challenges with customer-facing and project support tasks. In … mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. Typical Responsibilities: Propose and lead novel research in given topic areas, often in partnership with leading UK Universities. Lead technical delivery of More ❯

a difference for small businesses! We contribute to innovative machine learning models for Pricing + Bundling and Generative AI projects. Collaborate with ML engineers to develop ML pipelines and ensure the quality and reliability of our ML solutions. What you'll get to do... Develop and implement sophisticated … algorithms for Pricing and AI projects using PyTorch Craft and refine ML models to improve their performance, scalability, and adaptability Analyze and interpret complicated data sets to advise model development and ensure accuracy and efficiency Stay abreast of the latest developments in ML and artificial intelligence, integrating new methodologies and … techniques as appropriate Collaborate across multiple teams to integrate ML solutions within broader product and platform initiatives Contribute to the development of standardized processes for model evaluation, validation, and deployment to production environments Drive the exploration and adoption of brand new ML technologies to maintain our competitive edge in the More ❯

ROLE OVERVIEW: We are currently looking for a Machine Learning Scientist to join a leading pharmaceutical company based in the Cambridge area. As the Machine Learning Scientist, you will be responsible for driving the development of innovative machine learning methods for structure-based drug … duties as the Machine Learning Scientist will be varied however the key duties and responsibilities are as follows: 1. Design and implement ML models for structure-based design, including protein-ligand interaction modelling and co-folding applications. 2. Develop and extend AI approaches that integrate structural and chemical … experience in machine learning, including deep learning and/or generative models. 3. A working knowledge and practical experience with modern ML frameworks (e.g., PyTorch, TensorFlow, or JAX). Key Words: Machine Learning/Drug Discovery/Computational Chemistry/Structural Biology/AI Techniques More ❯

ROLE OVERVIEW: We are currently looking for a Machine Learning Scientist to join a leading pharmaceutical company based in the Cambridge area. As the Machine Learning Scientist, you will be responsible for driving the development of innovative machine learning methods for structure-based drug … duties as the Machine Learning Scientist will be varied however the key duties and responsibilities are as follows: 1. Design and implement ML models for structure-based design, including protein-ligand interaction modelling and co-folding applications. 2. Develop and extend AI approaches that integrate structural and chemical … experience in machine learning, including deep learning and/or generative models. 3. A working knowledge and practical experience with modern ML frameworks (e.g., PyTorch, TensorFlow, or JAX). Key Words: Machine Learning/Drug Discovery/Computational Chemistry/Structural Biology/AI Techniques More ❯

end-to-end analytical solutions Work independently to solve complex data science use-cases across various industries Design and develop feature engineering pipelines, build ML & AI infrastructure, deploy models, and orchestrate advanced analytical insights Write code in SQL, Python, and Spark following software engineering best practices Collaborate with stakeholders and … collaborating with customers Strong written and verbal communication skills required Ability to manage an individual workstream independently 3+ years of experience developing and deploying ML models in any platform (Azure, AWS, GCP, Databricks etc.) Ability to apply data science methodologies and principles to real life projects Expertise in software engineering … machine learning tools such as Python, SKLearn, XGBoost, SparkML, etc. Experience with deep learning frameworks like TensorFlow or PyTorch. Knowledge of ML model deployment options (e.g., Azure Functions, FastAPI, Kubernetes) for real-time and batch processing. Experience with CI/CD pipelines (e.g., DevOps pipelines, Git actions More ❯

end-to-end analytical solutions Work independently to solve complex data science use-cases across various industries Design and develop feature engineering pipelines, build ML & AI infrastructure, deploy models, and orchestrate advanced analytical insights Write code in SQL, Python, and Spark following software engineering best practices Collaborate with stakeholders and … collaborating with customers Strong written and verbal communication skills required Ability to manage an individual workstream independently 3+ years of experience developing and deploying ML models in any platform (Azure, AWS, GCP, Databricks etc.) Ability to apply data science methodologies and principles to real life projects Expertise in software engineering … machine learning tools such as Python, SKLearn, XGBoost, SparkML, etc. Experience with deep learning frameworks like TensorFlow or PyTorch. Knowledge of ML model deployment options (e.g., Azure Functions, FastAPI, Kubernetes) for real-time and batch processing. Experience with CI/CD pipelines (e.g., DevOps pipelines, Git actions More ❯