826 to 850 of 2,616 Machine Learning Jobs in England

and over 600,000 vehicles globally, growing more than 10% per year, and entering at the rate of 3 new markets a year. Our AI (artificial intelligence) technology and ML (machine learning) algorithms ensure all fleet data delivers tangible benefits to our customers. Our insights transform operational efficiency, reducing costs, ensuring the safety of drivers and goods while More ❯

Leadership Building a team focused on best-in-class technical excellence and delivery by setting standards, defining ways of working and championing best practice Overseeing the professional development and learning for technologists in the team Co-owning the overall strategy for the Government & Public Services business unit incl. designing team structure, managing budgets, coordinating staffing and recruitment and managing … a requirement. In particular you'll: Be an established technology leader with a track record of leading both the strategy and the delivery of projects in the AI/Machine Learning space Have the ability to communicate complex, technical information to internal and external stakeholders Come from a hands-on background with real-world deployment experience of machine learning or AI applications in production and architecting hardware/software systems Show strong commercial aptitude, with the ability to maximise commercial, technical and strategic needs during end-to-end scoping of a project Have worked with, or in, full-stack technology teams and understand system architecture, design and good engineering fundamentals What we can offer you: The More ❯

and a willingness to challenge consensus. We are seeking a Quantitative Researcher to join our Commodities Weather Team. The successful candidate will: Apply statistical and machine learning (ML) techniques to model commodity fundamentals. Support the maintenance and expansion of our in-house suite of models. Collaborate with engineers to deploy new models in a production environment. Formulate trading … systematic trading strategies. Qualifications: Master's or PhD in a technical discipline, preferably Physics, Mathematics, or Statistics. Strong proficiency in probability and statistics, including time series analysis, econometrics, and machine learning. Programming experience in Python or R. Prior exposure to commodities (energy/ags) is a plus. Prior exposure to weather is a plus. Experience in systematic trading is More ❯

to £65,000 Start - ASAP The Opportunity Join a pioneering start-up at the forefront of Augmented Reality (AR), Artificial Intelligence (AI), and Machine Learning (ML) innovation. This is a rare opportunity to become part of a mission-led team dedicated to revolutionising safety in engineering maintenance and repair environments. Having successfully developed a prototype and secured substantial More ❯

and language solutions behind Amazon Echo and other Alexa-enabled products and services. Alexa Data Services' mission is to provide high-quality labelled data for machine learning (ML) technologies. Key job responsibilities As Team Manager, you will be responsible for : • Manage job assignment on a day-to-day basis, monitoring performance on job or queue adherence, volume, and More ❯

and language solutions behind Amazon Echo and other Alexa-enabled products and services. Alexa Data Services' mission is to provide high-quality labelled data for machine learning (ML) technologies. Key job responsibilities As Team Manager, you will be responsible for : • Manage job assignment on a day-to-day basis, monitoring performance on job or queue adherence, volume, and More ❯

a hands-on Infrastructure Engineer with proven experience in the physical and technical deployment of AI-ready environments. This role is critical to building the foundational infrastructure that supports machine learning, high-performance computing (HPC), and GPU-based workloads. The ideal candidate will be experienced in deploying compute nodes, networking, storage, and supporting infrastructure in data centre or … Ability to read technical diagrams, rack elevation plans, and cabling schematics Comfortable working hands-on in data center environments (lifting, racking, connecting, etc.) Desirable Skills: Previous work on AI, machine learning, or HPC cluster deployments Experience with NVIDIA GPUs, DGX systems, or custom AI racks Knowledge of Ansible, Redfish, PXE boot, or infrastructure automation tools Certifications: CompTIA Server+ More ❯

SAP, Oracle, Unit4, Microsoft D365, Infor, Workday, Sage or Data – BI, Machine Learning, Analytics, Business Intelligence. This role isn’t about us. It’s about you. If you’re good at recruitment you’re likely reading it to see what’s being advertised in your current market. If so, we like that. If you’re not in recruitment … only thing we do need? Knowledge. We need you to have an extensive knowledge in 360 ERP Recruitment – SAP, Oracle, Unit4, Microsoft D365, Infor, Workday, Sage or Data – BI, Machine Learning, Analytics, Business Intelligence (UK, Europe, USA) A frustrated split desk? Come at us. Contract specialist? Come at us. Perm specialisms? We want to talk to you. If More ❯

Skills We are recruiting at various levels within the salary range, so candidates are not expected to be experienced in all areas listed below. AI techniques (supervised and unsupervised machine learning, deep learning, graph data analytics, statistical analysis, time series, geospatial analysis, NLP, sentiment analysis, pattern detection, etc.) Python, R, or Spark for data insights Data Bricks More ❯

What you will be doing Support end-to-end deployment of ML models (batch and real-time) from code validation through to production rollout under guidance from senior team members. Work with Data Science teams to facilitate smooth model handover and ensure deployment readiness aligned with implementation standards. Build and maintain CI/CD pipelines for model deployment, scoring, and … operational monitoring. Debug and fix pipeline issues including data ingestion problems, model scoring failures, and deployment errors. Write comprehensive tests for ML pipelines (unit, integration, validation) and implement data quality checks and operational monitoring. Ensure deployed models meet audit, reconciliation, and governance requirements. Monitor production models for operational health, troubleshoot failures, and track data/variable drift over time. Work … delivery check-ins). Learn from senior team members and contribute to continuous improvement of model delivery practices. Required Skills & Experience Solid Python engineering background with some experience in ML model deployment Familiarity with AWS services and cloud-based ML deployment (SageMaker experience preferred but not required) Basic understanding of data warehousing concepts and SQL (Snowflake experience a plus) Experience More ❯

Innovative Tech firm developing unique LLM applications are hiring a Deep Learning Scientist. The nature of your work will focus around autonomous agent development & interactions at scale. Experience Required : Python, with a solid software design experience. Deep knowledge of machine learning, deep learning methodologies & transformers Conversational AI technologies … like natural language understanding/generation, dialog systems, machine translation, and information retrieval. Experience of developing information retrieval systems, Fine Tuning for RAG & Direct Preference optimisation Experience of ML Ops environments & platforms The more experience you have of adapting LLM's for different domains the better (although this isn't a must have) so someone who has worked in More ❯

automation provider that's deploying cutting-edge AI vision systems across food manufacturing environments. They're looking for a practical, technically skilled Applications Engineer to help roll out advanced machine learning solutions in fast-paced, high-speed production settings. This is a field-based, high-impact role-you'll be working on real production lines, replacing manual inspection … Take the lead on deployments while working alongside a highly experienced engineering team. What You'll Be Doing Designing and implementing machine vision inspection systems using AI/ML tools. Running trials and developing proof-of-concepts to validate deep learning models in real environments. Programming and configuring PLCs and SCADA systems. Installing, commissioning, and supporting automation systems … machine vision, automation, or similar engineering roles. Hands-on experience deploying machine vision or image analysis systems in industrial or research environments. Comfortable working with AI/ML platforms or deep learning-based vision tools. Strong troubleshooting and problem-solving skills in production environments. Excellent communication skills and ability to liaise with operators and engineers. Full UK More ❯

Analytics Data Engineering (DE) team and work on solving problems! We are a team of DEs who support Applied Scientists, Data Scientists, and Economists in experimenting, researching, and transforming machine learning, deep learning, and AI research into innovative products … for our customers. ISS is seeking a smart, highly motivated, and experienced Data Engineer to join our team. In this role, you'll help create the right Data and ML infrastructure. As a Data Engineer, you will provide technical leadership, lead data engineering initiatives, and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost More ❯

we advance_ SENIOR SOFTWARE DEVELOPMENT ENGINEER- GPU KERNEL DEVELOPMENT THE ROLE: As a core member of the team, you will play a pivotal role in optimizing and developing deep learning frameworks for AMD GPUs. Your experience will be critical in enhancing GPU kernels, deep learning models, and training/inference performance across multi-GPU and multi-node systems. … development efforts, and deliver high-quality solutions. Strong problem-solving skills, a proactive approach, and a keen understanding of software engineering best practices are essential. KEY RESPONSIBILITIES: Optimize Deep Learning Frameworks: Enhance and optimize frameworks like TensorFlow and PyTorch for AMD GPUs in open-source repositories. Develop GPU Kernels: Create and optimize GPU kernels to maximize performance for specific … AI operations. Develop & Optimize Models: Design and optimize deep learning models specifically for AMD GPU performance. Collaborate with GPU Library Teams: Work closely with internal teams to analyze and improve training and inference performance on AMD GPUs. Collaborate with Open-Source Maintainers: Engage with framework maintainers to ensure code changes are aligned with requirements and integrated upstream. Work in More ❯

Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks (Desirable): Azure ML, AWS Sagemaker, HuggingFace, OpenAI APIs Version Control & DevOps : Git, Azure DevOps, GitHub Actions What We're Looking For Essential 2+ years' experience in a BI, data … fast-paced, client-facing environment Desirable Experience in a consultancy or agency environment Python for data wrangling or basic machine learning use cases Familiarity with AI/ML concepts (classification, regression, clustering, NLP) Exposure to dbt or other data transformation tools Experience with A/B testing, segmentation analysis, or forecasting models Knowledge of marketing or sales analytics More ❯

Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks (Desirable): Azure ML, AWS Sagemaker, HuggingFace, OpenAI APIs Version Control & DevOps : Git, Azure DevOps, GitHub Actions What We're Looking For Essential 2+ years' experience in a BI, data … fast-paced, client-facing environment Desirable Experience in a consultancy or agency environment Python for data wrangling or basic machine learning use cases Familiarity with AI/ML concepts (classification, regression, clustering, NLP) Exposure to dbt or other data transformation tools Experience with A/B testing, segmentation analysis, or forecasting models Knowledge of marketing or sales analytics More ❯

Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks (Desirable): Azure ML, AWS Sagemaker, HuggingFace, OpenAI APIs Version Control & DevOps : Git, Azure DevOps, GitHub Actions What We're Looking For Essential 2+ years' experience in a BI, data … fast-paced, client-facing environment Desirable Experience in a consultancy or agency environment Python for data wrangling or basic machine learning use cases Familiarity with AI/ML concepts (classification, regression, clustering, NLP) Exposure to dbt or other data transformation tools Experience with A/B testing, segmentation analysis, or forecasting models Knowledge of marketing or sales analytics More ❯

Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks (Desirable): Azure ML, AWS Sagemaker, HuggingFace, OpenAI APIs Version Control & DevOps : Git, Azure DevOps, GitHub Actions What We're Looking For Essential 2+ years' experience in a BI, data … fast-paced, client-facing environment Desirable Experience in a consultancy or agency environment Python for data wrangling or basic machine learning use cases Familiarity with AI/ML concepts (classification, regression, clustering, NLP) Exposure to dbt or other data transformation tools Experience with A/B testing, segmentation analysis, or forecasting models Knowledge of marketing or sales analytics More ❯

cutting-edge multimodal AI systems, integrating various modalities such as text, speech, and vision. Conduct research and experiments on our advanced compute infrastructure, exploring novel ideas in multimodal representation learning, transfer learning, and more. Collaborate closely with our world-class teams, learning from and contributing to their expertise in the field. You are an ideal candidate if … Possess exceptional software engineering skills, with a proven track record of building robust and scalable systems. Have a strong command of Python and are well-versed in popular deep learning frameworks like JAX, PyTorch, and TensorFlow, with an understanding of their multimodal capabilities. Knowledge of distributed training strategies, especially for large-scale multimodal models. Familiarity with autoregressive models, particularly … potential to impact various industries through multimodal applications. Enjoy tuning and optimising large multimodal models, and have experience building evaluations to measure their performance. Are comfortable diving into complex ML codebases to identify and resolve issues, ensuring the smooth operation of our systems. Thrive in a fast-paced, technically challenging environment, where you can contribute your innovative ideas and solutions. More ❯

and improve customer engagement. As a Senior AI Engineer within the Technology Engineering team in CIO, you will play a pivotal role in designing, developing, and deploying AI and machine learning solutions that address real-world business challenges. You will work closely with cross-functional teams-including Data Science, Engineering, Product, and Business stakeholders-to identify opportunities for … engineers, promote reusability of AI components, and support the continuous improvement of AI engineering practices across the organisation. Skills we would love you to have: Experience in AI/ML engineering or applied machine learning. Proficiency in Python and ML libraries (e.g. Semantic Kernel, Langchain, agentic frameworks). Experience deploying models using APIs, containers, or cloud-native services. Familiarity More ❯

ll work with a world-class team of AI researchers (ex-DeepMind, INRIA, École Polytechnique) to build the systems and interfaces that enable customers to seamlessly interact with powerful machine learning models at scale. Why You'll Love This Role Highly competitive salary + meaningful equity package 100% remote within … Europe Work alongside leading AI researchers and engineers Be part of the founding engineering team of a high-growth, well-funded startup Solve complex problems at the intersection of ML, backend, and UI engineering What You'll Be Doing Build scalable backend services and APIs for model inference and large-scale data processing Develop modern, responsive frontends for model interaction … NoSQL databases and cloud data platforms Ability to deliver clean, maintainable frontend code and collaborate closely with product/design teams Nice to Have Kubernetes experience for deploying scalable ML services Data visualisation skills for presenting model outputs Knowledge of authentication/security best practices Experience with monitoring and observability tools for distributed systems Interested? If you want to join More ❯

our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth - We're continuously raising … negotiation skills for opportunity capture and proposal development - Excellent communication, presentation, and negotiation skills with the ability to build and maintain C-level client relationships - Experience building data or machine learning pipelines, incl. deep learning, GenAI, LLM, etc. as well as hands on experience on AWS services like SageMaker and Bedrock, and programming skills such as Python More ❯

the most advanced language model in the industry and revolutionize company interactions with AI. We are looking for a creative problem solver with a deep understanding of NLP and ML technologies to help us develop powerful AI applications. As an AI engineer at Writer, you will play a key role in developing and deploying cutting-edge generative AI models and … model performance through testing and experimentation. Deploy and improve LLM-based applications in production. Integrate AI capabilities into production systems, ensuring scalability and efficiency. Stay updated with AI and ML advancements and suggest improvements. Work with cross-functional teams to develop AI solutions based on business needs. Design, implement, and maintain scalable retrieval and agentic systems. Implement testing and CI … this you? Bachelor's degree in CS, Engineering, Mathematics, or related field, or equivalent experience. Proficiency in Python programming. 5+ years of experience in software engineering and AI/ML development, including: Experience with production software and systems design. Knowledge of machine learning algorithms and model development. Experience with ML lifecycle tools like MLflow, DVC, Weights & Biases. Experience More ❯

are passionate about shaping the future of AI and thrive on complex, high-impact challenges, we encourage you to apply. Responsibilities As a Senior Data Engineer for AI/ML, you will be the architect and builder of the data infrastructure that feeds our intelligent systems. Your responsibilities will include: Design and Build Scalable Data Pipelines: Architect, implement, and optimize … and used responsibly and ethically. Tooling the Future: Get hands-on with cutting-edge technologies like Hugging Face, PyTorch, TensorFlow, Apache Spark, Apache Airflow, and other modern data and ML frameworks. Collaborate and Lead: Partner closely with ML Engineers, Data Scientists, and Researchers to understand their data needs, provide technical leadership, and translate complex requirements into actionable data strategies. Optimize … and SQL are essential. Big Data Ecosystem Expertise: Hands-on experience with big data technologies like Apache Spark, Kafka, and data orchestration tools such as Apache Airflow or Prefect. ML Data Acumen: Solid understanding of data requirements for machine learning models, including feature engineering, data validation, and dataset versioning. Vector Database Experience: Practical experience working with vector databases More ❯

in a dynamic, multi-disciplinary environment. What You'll Do Lead the end-to-end delivery of data science solutions including PoCs, MVPs and production deployments Develop and prototype ML models to solve complex business challenges using modern techniques and tooling Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables Guide and coach data science … pods, supporting skill development and solution design Act as a subject matter expert on ML architecture, model calibration and productionisation What We're Looking For Hands-on experience building and deploying data science solutions in Python and related ML libraries Strong background in applied machine learning, model development and data engineering Experience with cloud environments (Azure, AWS, GCP … Financial services or banking experience Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entrepreneurial consulting culture Access continuous learning, training, and industry certifications Be part of a team shaping the future of digital financial services Help shape the future of digital transformation across FS & Energy. We offer a More ❯