976 to 1,000 of 4,923 Machine Learning Jobs in England

automation company developing next-generation intelligent systems that solve complex real-world operational challenges. Our multidisciplinary team combines expertise across robotics, software engineering, machine learning and hardware to build products that bridge the gap between advanced automation and real-world deployment. Working at the intersection of software … solving, communication and debugging skills Nice to Have Experience integrating mobile applications with device hardware or sensors Knowledge of image processing, computer vision or machine learning applications Experience designing offline‐first applications and data synchronisation strategies Exposure to robotics, embedded systems, IoT or edge computing technologies Experience working ...

design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering … align solutions with user needs. Requirements: Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience ...

design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering … align solutions with user needs. Requirements Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience ...

performance reports that accurately reflect real-world investment conditions. Quantitative Model Validation Establish and maintain the firm's quantitative model validation standards. Independently assess machine learning and statistical models before deployment. Evaluate the statistical robustness and practical relevance of research outputs. Review model assumptions, target construction, calibration … predictive performance. Identify weaknesses, potential biases, and implementation risks within research findings. Work collaboratively with machine learning researchers to improve model quality and reliability. Reporting and Stakeholder Engagement Produce clear and detailed validation documentation for senior stakeholders. Present research findings, validation outcomes, and recommendations to senior researchers ...

ML (Machine Learning) Engineer at Checkout.com in the Disputes ML team, you will contribute to the development of our brand‐new ML‐driven dispute optimisation suite. This is a unique opportunity to get in on the ground floor of an expanding area, grow alongside top‐tier engineers … dispute systems. Collaborate with platform and backend engineers to integrate models seamlessly. Experience and qualifications 5+ years of experience as an MLOps/ML Engineer. High proficiency in writing clear, production‐ready Python code. Experience with production ML models (online or offline) and standard MLOps practices. Experience with monitoring ...

Data Scientists and Engineers. You will take ownership of the platform that enables us to transition from complex exploration to full-stack, production-grade machine learning products, ensuring our solutions are high-performing, scalable, and seamlessly integrated into diverse client environments. What you’ll be doing: Taking ownership … solutions for our global clients. Scaling our internal enablement capabilities, acting as an entrepreneurial force that removes technical friction and accelerates the deployment of machine learning. Who we're looking for: You are a Software Engineer who is passionate about building internal tools and takes pride in creating ...

Defining engineering standards, data models and best practice Driving CI/CD, automation and modern engineering practices Collaborating with AI engineers to productionise machine learning and AI solutions Exploring how AI can enhance engineering productivity, quality and delivery What you'll bring Strong experience with Python … data products solving real business challenges Collaborate with experienced engineers, architects and AI specialists in a supportive environment where ideas are valued and learning is encouraged #J-18808-Ljbffr ...

factories. What you’ll be doing Develop and deploy Industry 4.0 and IoT solutions , including smart tooling, vision systems, automation and real-time machine monitoring. Design solutions for device connectivity, sensor integration and industrial data management . Work with manufacturing teams to identify opportunities for new digital technologies … take solutions from concept through to deployment. Support existing automation, IoT, machine and environmental monitoring solutions. Work with technology vendors and partners to evaluate and implement new hardware and software. Support applications, software updates and device configuration. What we’re looking for Experience deploying technologies such as Smart Tooling ...

hands‐on role where you’ll spend most of your time designing, building and maintaining data solutions, with plenty of opportunity for learning and professional development. The Role As a Data Engineer, you’ll help build and operate reliable, scalable data infrastructure and pipelines across an AWS cloud environment. … Apply Infrastructure as Code (IaC) to support data pipelines and processing workflows on AWS. Design and maintain systems for data version control and reproducible machine learning workflows (MLOps). Work closely with data scientists, analysts and engineers to translate analytical and operational requirements into effective data solutions. Contribute ...

This is a hands-on role where youll spend most of your time designing, building and maintaining data solutions, with plenty of opportunity for learning and professional development. The Role As a Data Engineer, youll help build and operate reliable, scalable data infrastructure and pipelines across an AWS cloud … Apply Infrastructure as Code (IaC) to support data pipelines and processing workflows on AWS. Design and maintain systems for data version control and reproducible machine learning workflows (MLOps) . Work closely with data scientists, analysts and engineers to translate analytical and operational requirements into effective data solutions. Contribute ...

This is a hands-on role where youll spend most of your time designing, building and maintaining data solutions, with plenty of opportunity for learning and professional development. The Role As a Data Engineer, youll help build and operate reliable, scalable data infrastructure and pipelines across an AWS cloud … Apply Infrastructure as Code (IaC) to support data pipelines and processing workflows on AWS. Design and maintain systems for data version control and reproducible machine learning workflows (MLOps) . Work closely with data scientists, analysts and engineers to translate analytical and operational requirements into effective data solutions. Contribute ...

Duration: 6 Months (Initial Duration) Start: ASAP Location: London (Hybrid) Pay Rate: £450 - £480 per day Specialism(s): AI Strategy, Artificial Intelligence, Generative AI, Machine Learning, Large Language Models (LLMs), AI Agents, Conversational AI, Intelligent Automation, Robotic Process Automation (RPA), Data Science, Data Analytics, Predictive Analytics, Natural Language … platforms such as Salesforce, AWS, Microsoft technologies, data platforms, or AI agent frameworks. * Familiarity with AI-assisted development tools and automation technologies. * Understanding of machine learning fundamentals. * Experience supporting the adoption of new technology within business teams. * A consulting, technology, startup, or other fast-paced commercial background. ...

academic leadership in education across a broad range of AI disciplines Fully engage with Newcastle's Leading Edge Curriculum redevelopment, ensuring that our students' learning is enriched through engagement with research, industry, practice and society Carry out administrative duties as assigned by the Head of School and the School … using appropriate technologies to engage and support students, including supervision of undergraduate and postgraduate projects. Experience leading programme-level design and delivery of teaching, learning and assessment strategies. A strong, sustained international research profile with a consistent track record of high-quality outputs and recognition. A record of successful ...

continuous delivery, application resiliency, and security practices Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence/machine learning, or mobile) Working knowledge of the Software Development Life Cycle Hands-on experience using enterprise-authorized AI-assisted software development tools within … skills Familiarity with Python for backend services or tooling Exposure to cloud technologies and infrastructure-as-code practices Experience with artificial intelligence or machine learning concepts and tooling relevant to infrastructure and operations use cases ABOUT US J.P. Morgan is a global leader in financial services, providing strategic ...

without authority Technical Knowledge Basic understanding of software architecture and technical feasibility Familiarity with cloud platforms and digital transformation concepts Knowledge of AI/ML capabilities, limitations, and business applications (for AI products) Understanding of data warehousing, analytics, and data-driven products Awareness of cybersecurity, data privacy (GDPR, CCPA … record of successful product launches and achieving business metrics (revenue, adoption, market share) Experience managing B2B or B2B2C technology products Experience with AI/ML products or analytics platforms is preferred Strong background in data-driven product management and experimentation Experience with enterprise sales cycles and customer success management Experience ...

continuous delivery, application resiliency, and security practices Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence/machine learning, or mobile) Working knowledge of the Software Development Life Cycle Hands-on experience using enterprise-authorized AI-assisted software development tools within … skills Familiarity with Python for backend services or tooling Exposure to cloud technologies and infrastructure-as-code practices Experience with artificial intelligence or machine learning concepts and tooling relevant to infrastructure and operations use cases J.P. Morgan is a global leader in financial services, providing strategic advice ...

engineering bar across your team and the wider business unit. Acting as both a technical authority and a mentor, you’ll work alongside Machine Learning Engineers and Data Scientists to deliver production-grade solutions that provide immediate value to our customers in a fast-paced, entrepreneurial environment. What … production-ready code in Python and compiled languages such as Rust, C++, or Go. Collaborating with cross-functional teams to integrate advanced AI and Machine Learning capabilities into software architectures. Distilling complex technical concepts into clear, actionable insights for both technical and non-technical stakeholders. ...

drive decision-making. The CDAO also develops and implements solutions that support the firm’s commercial goals by responsibly harnessing artificial intelligence and machine learning to develop new products, improve productivity, and enhance risk management. As a Lead Technical Program Manager at JPMorganChase within CDAO, you will lead … drive decision-making. The CDAO also develops and implements solutions that support the firm’s commercial goals by responsibly harnessing artificial intelligence and machine learning to develop new products, improve productivity, and enhance risk management. As a Lead Technical Program Manager at JPMorganChase within CDAO, you will lead ...

data assets, ensuring they meet the requirements of scalable, transformation-facing analytics. Contribute to data assets and pipelines that are structured to support AI, machine learning, and agentic workflows - increasingly the default mode of delivery rather than a side project. Monitor and optimise the performance of data models … with data pipeline concepts, transformation logic, and ETL/ELT processes. Working understanding of how data assets are structured and prepared to support AI, machine learning, and agentic use cases - this is now a core expectation of the role, not a nice-to-have. Comfortable translating business logic ...

have a startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … client's challenges! It would be great if you also had experience in some of these, but if not well help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such ...

across a multimodal space, with a particular focus on detecting and preventing abuse of ElevenLabs’ free tiers. You’ll work alongside a team of ML and full stack engineers to build production‐grade safety infrastructure from the ground up. This is a product ownership role where you’ll be responsible … technical execution of our safety systems, from architecture to deployment and monitoring. You’ll bridge the gap between ML research and production‐grade systems, ensuring our safety infrastructure is robust, observable, and scalable. What you’ll do: Design and build scalable backend infrastructure for abuse detection, deploying AI/ML ...

role across Surrey and Greater London. This is a hands-on opportunity to help develop and optimise a Databricks data platform that supports analytics, machine learning and artificial intelligence across the business. Key Responsibilities: Design, build and enhance a secure, scalable and reliable Databricks platform Develop and maintain … days Annual leave allowance, bank holidays and an additional day off for a birthday Summer working hours and flexible working arrangements Access to learning platforms, professional development courses and structured career progression Private medical insurance, healthcare support and mental health services Home workspace assessment to support a safe ...

support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency. The Core Engineering’s 2,000+ engineers and strats deliver engineering, data, analytics, and quantitative capabilities within six business … technology risk FUNCTIONALITY DESCRIPTION Developing risk models and risk sensitivity analysis that use advanced mathematical/statistical/engineering approaches such as optimization, machine learning, regressions, visualization Performing detailed analysis on risk trends and drivers Updating and maintaining risk models along with business growth and risk environment changes ...

role across Surrey and Greater London. This is a hands-on opportunity to help develop and optimise a Databricks data platform that supports analytics, machine learning and artificial intelligence across the business. Key Responsibilities: Design, build and enhance a secure, scalable and reliable Databricks platform Develop and maintain … days Annual leave allowance, bank holidays and an additional day off for a birthday Summer working hours and flexible working arrangements Access to learning platforms, professional development courses and structured career progression Private medical insurance, healthcare support and mental health services Home workspace assessment to support a safe ...

your teams A track record of understanding, assessing, and embracing new tooling and trends within the software industry Built or integrated AI/ML features into products and systems, including recommendation engines, NLP, computer vision, predictive analytics, RAG pipelines, and agents Successfully led modernisation and replatforming efforts to align legacy … deadlines Advising clients on architecture, scalability and platform evolution, connecting technical decisions to product and business outcomes Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring Driving innovation by proactively surfacing new technical approaches and product solutions Leading ...