401 to 425 of 1,725 Machine Learning Jobs in England

hiring in Miami, London and Milan. Description -- Role: expected to contribute to production grade proprietary trading systems, deploy state of the art AI/ML, develop novel AI/ML models, experiment with and develop novel trading ideas, explore new datasets. -- Required: experience training ML models end to end (from … data processing to fine tuning), experience training across transformers/generative models/RL, publications in either top tier ML conferences (e.g., NeurIPS, ICLR, ICML, JMLR, etc.) or top scientific journals, top tier institutions/industry experiences. -- Positives but not requirement: PhD. Reference: AMC/AHU/NW/SPH001 ...

Working On Production MLOps pipelines for training, evaluation, and deployment LLM-powered workflows for planning, site intelligence, and decision support Graph-based ML models linking spatial, regulatory, demographic, and market data A growing recommendation engine and inference services (separate ML services, not monoliths) Advanced geospatial intelligence : accessibility, constraints, clustering … market gap analysis Microservice APIs (FastAPI or similar) connecting data, ML inference, and product Cloud-native AI infrastructure across Azure/GCP/AWS Continuous refinement of existing tools and replacement of legacy approaches with AI-first systems This is not a research-only role — everything you build is designed ...

organisation. This is a genuinely high-impact role: you'll lead a talented team of 6-8 engineers, set the strategic direction for ML infrastructure, and ensure the business continues to deliver reliable, scalable, and high-performing ML systems that drive real-world impact. Key Responsibilities for Engineering Manager, MLOps … Define and deliver the MLOps roadmap, aligning closely with the wider engineering and data strategy. Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management. Partner with data science, ML, and product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability ...

organisation. This is a genuinely high-impact role: you’ll lead a talented team of 6-8 engineers, set the strategic direction for ML infrastructure, and ensure the business continues to deliver reliable, scalable, and high-performing ML systems that drive real-world impact. Key Responsibilities for Engineering Manager, MLOps … Define and deliver the MLOps roadmap, aligning closely with the wider engineering and data strategy. Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management. Partner with data science, ML, and product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability ...

organisation. This is a genuinely high-impact role: you’ll lead a talented team of 6-8 engineers, set the strategic direction for ML infrastructure, and ensure the business continues to deliver reliable, scalable, and high-performing ML systems that drive real-world impact. Key Responsibilities for Engineering Manager, MLOps … Define and deliver the MLOps roadmap, aligning closely with the wider engineering and data strategy. Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management. Partner with data science, ML, and product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability ...

organisation. This is a genuinely high-impact role: you’ll lead a talented team of 6-8 engineers, set the strategic direction for ML infrastructure, and ensure the business continues to deliver reliable, scalable, and high-performing ML systems that drive real-world impact. Key Responsibilities for Engineering Manager, MLOps … Define and deliver the MLOps roadmap, aligning closely with the wider engineering and data strategy. Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management. Partner with data science, ML, and product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability ...

business stakeholders to implement real-world intelligent systems using technologies such as Python, PyTorch, and Azure. Do you have? Experience developing AI/ML solutions using Python? Knowledge of frameworks such as PyTorch (preferred), TensorFlow, or Scikit-learn? Experience with NLP, deep learning, or computer vision? Familiarity with MLOps … tools (Azure ML Pipelines, MLflow, Docker, Kubernetes)? Experience working with cloud platforms such as Azure, GCP, or AWS? The abbility to engage with technical and non-technical teams? Would you like to? Join an organisation that is investing in AI innovation as part of a wider digital transformation journey ...

this Embedded Software role, please apply. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, Machine Learning, c#, machine learning, LLM, Power, RF Test, Electronics, FPGA design, Data Science or Simulation contact us today. ...

Machine Learning Engineer Location: Remote - UK Permanent Salary: £90-100K per year + benefits Start Date: Immediate WRK digital is proud to partner with a fast-growing technology startup building solutions that combine human expertise and AI agents to automate complex operational workflows click apply for full ...

within commutable distance of Bristol) Employment Type: Full-time Experience Level: Senior Salary: £80k - £100k About the Role We are seeking an experienced Senior ML & AI Developer to lead the design, development, and deployment of machine-learning and AI-driven solutions. In this role, you will take ownership … direction, and mentor less experienced team members while working closely with engineering and product teams. What You’ll Do Design, build, and deploy scalable ML and AI solutions for production environments. Lead model development, evaluation, and optimization across supervised and unsupervised learning use cases. Collaborate with backend and frontend ...

Senior AI Engineer - 2 days Manchester You will be responsible for designing and delivering production-ready AI and ML solutions that drive business value. This role focuses on building scalable data pipelines, deploying machine learning models, and embedding AI into products and decision-making. Responsibilities Build and maintain …/ML pipelines Develop, deploy and monitor machine learning models Apply MLOps best practices including CI/CD Collaborate with data, analytics and engineering teams Ensure data governance, security and responsible AI Experience Strong experience in ML engineering and data pipelines Python, SQL and Git proficiency Hands ...

organisation who makes a huge impact to the security of the UK. Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering … governance requirements Transition validated experiments into production-ready solutions, working closely with other engineers on deployment and monitoring Build and optimise ML pipelines using AWS services and experiment tracking tools Develop and integrate LLM-powered solutions for tracing, evaluation, and production monitoring Implement robust experiment tracking, model versioning, and reproducibility ...

engineers, and a clear pathway for career progression as the company continues to scale. Key Responsibilities Support the development and deployment of AI and machine learning models Work with structured and unstructured data to train and evaluate models Collaborate with software engineers to embed AI solutions into live … Data Science, Mathematics, or a related discipline Strong Python skills and a solid understanding of core machine learning concepts Familiarity with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn Strong analytical and problem-solving skills A genuine interest in AI and emerging technologies Nice to Have Exposure ...

engineers, and a clear pathway for career progression as the company continues to scale. Key Responsibilities Support the development and deployment of AI and machine learning models Work with structured and unstructured data to train and evaluate models Collaborate with software engineers to embed AI solutions into live … Data Science, Mathematics, or a related discipline Strong Python skills and a solid understanding of core machine learning concepts Familiarity with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn Strong analytical and problem-solving skills A genuine interest in AI and emerging technologies Nice to Have Exposure ...

cutting-edge consumer facing app designed to change the physical in-store shopping experience. You'll collaborate closely with our team of ML & backend engineers and product to deliver a mobile experience that feels fast, personalised, and deeply responsive to user context. Responsibilities: Architect and drive the development of complex … engines. Take ownership of app performance, profiling and optimising for low latency, memory efficiency, and battery life in a resource-intensive environment. Integrate complex ML features into the UI/UX, bridging the gap between the Edge AI team's models and the user interface. Define and evolve the mobile ...

cutting-edge consumer facing app designed to change the physical in-store shopping experience. You’ll collaborate closely with our team of ML & backend engineers and product to deliver a mobile experience that feels fast, personalised, and deeply responsive to user context. Responsibilities: Architect and drive the development of complex … engines. Take ownership of app performance, profiling and optimising for low latency, memory efficiency, and battery life in a resource-intensive environment. Integrate complex ML features into the UI/UX, bridging the gap between the Edge AI team’s models and the user interface. Define and evolve the mobile ...

improve relevance and performance. Collaborate with CRM and regional marketing teams to align with campaign goals and customer segmentation strategies Own the full ML lifecycle-from model design to deployment and monitoring. Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data … systems and deep learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including ...

Deploy, monitor, and manage machine learning models in production Automate model training, testing, and deployment workflows Ensure scalability, reliability, and security of ML systems Collaborate with data scientists and engineering teams to productionise models Troubleshoot and optimise existing ML pipelines Required Skills & Experience Strong hands-on experience with … SageMaker Solid understanding of MLOps best practices Experience with CI/CD pipelines for ML workloads Proficiency with Python and relevant ML frameworks Experience working in cloud-based environments (AWS) Security Requirements Active SC Clearance ...

improve relevance and performance. Collaborate with CRM and regional marketing teams to align with campaign goals and customer segmentation strategies Own the full ML lifecycle-from model design to deployment and monitoring. Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data … systems and deep learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including ...

quality, timely data availability. What you will do Design, build, and maintain scalable, cloud-based data pipelines and architectures to support advanced analytics and machine learning initiatives. Develop robust ELT workflows using tools like dbt, Airflow, and SQL (PostgreSQL, MySQL) to transform raw data into high-quality, analytics … data ingestion from third-party APIs, model data using dbt, and support machine learning workflows for asset pricing and prediction using Azure ML Studio. This includes ELT processes, data modeling, running predictions, and storing outputs for downstream analytics. Your Experience We're a small, high-impact team with ...

quality, timely data availability. What you will do Design, build, and maintain scalable, cloud-based data pipelines and architectures to support advanced analytics and machine learning initiatives. Develop robust ELT workflows using tools like dbt, Airflow, and SQL (PostgreSQL, MySQL) to transform raw data into high-quality, analytics … data ingestion from third-party APIs, model data using dbt, and support machine learning workflows for asset pricing and prediction using Azure ML Studio. This includes ELT processes, data modeling, running predictions, and storing outputs for downstream analytics. Your Experience We’re a small, high-impact team with ...

genuine empathy for each other and our users. We lead with positivity and passion. Tenacious Innovator - Innovation drives us. We trust ourselves, keep learning, and uncover bold solutions that redefine what’s possible in poultry farming. Hand in Glove - One mission, one team. We grow together with patience, trust … Application Engineering: Collaborate directly with machine learning engineers and production application engineers to integrate open source MLOps pipelines (CI/CD for ML) and deploy models seamlessly into production environments using specialised tools like MLflow, DVC and Feast. Advanced Data Modelling (Ontology & Knowledge Graphs): Lead the design ...

demonstrated through academic study or professional experience Confident using Python and standard machine learning libraries and frameworks A solid understanding of core ML techniques and appropriate use cases Experience delivering ML-driven features such as demand forecasting, optimisation models, or computer vision systems Exposure to working within cloud … statistics for analysing and interpreting complex datasets An interest in developing broader backend or server-side engineering skills to support the deployment of ML components into production systems If you are interested in this role or other Data Scientist opportunities, please contact Gilad Sabari — gilad.sabari@xcede.com ...

demonstrated through academic study or professional experience Confident using Python and standard machine learning libraries and frameworks A solid understanding of core ML techniques and appropriate use cases Experience delivering ML-driven features such as demand forecasting, optimisation models, or computer vision systems Exposure to working within cloud … statistics for analysing and interpreting complex datasets An interest in developing broader backend or server-side engineering skills to support the deployment of ML components into production systems If you are interested in this role or other Data Scientist opportunities, please contact Gilad Sabari — gilad.sabari@xcede.com ...

development, and deployment the practical build of the solutions that bring ideas to life. One important note: if your passion lies in AI and machine learning, this isnt the scheme for you. Those roles sit within our Data Science and AI Graduate Scheme. Two years. Real impact Aligned … challenges. Support to succeed Youll get: In-house training on Engineering the Lloyds Way. A buddy and experienced mentors to guide you through. Agile learning culture with access to Viva Learning, Learning Management Systems and on-demand courses. Networking opportunities with colleagues across the Group. ...