376 to 400 of 1,305 Machine Learning Jobs in England

Strong understanding of external agent ecosystems and interoperability. Proven Track Record - Experience in prompt engineering, agent lifecycle management, and hands‐on prototype development. AI & ML Expertise - Experience with machine learning concepts (predictive and generative AI), plus the ability to communicate value to diverse audiences. Data Stack Knowledge - Deep … e.g., Hyperscaler SDKs to Salesforce Flows). Multimodal Pipelines - Prior exposure to conversational voice pipelines or multimodal integrations via hyperscaler services. Advanced AI/ML Frameworks - Exposure to frameworks (TensorFlow, PyTorch), MLOps practices, and cloud AI platforms like Google Vertex AI or AWS Sagemaker. Education - BS in Computer Science, Engineering ...

innovation. The Chief Data and Analytics Office is responsible for building enterprise-scale, cutting-edge platforms for Data Management & Analytics and AI/ML Operations that are used firm-wide by the JPMC workforce for Artificial Intelligence (including generative AI)/Machine Learning (AI/ML) development ...

Senior Principal ML Engineer – AI Data Centre Networking & Infrastructure Northwest England | Hybrid | Full-Time Join a next-generation AI infrastructure organisation building one of the most advanced AI-enabled data centre ecosystems in Europe. We are seeking a world-class Senior Principal ML Engineer to lead the convergence … networking, automation, and hyperscale infrastructure across a globally connected enterprise environment. About the Role As the Senior Principal ML Engineer, you will serve as the highest-level technical authority for AI-augmented networking and intelligent infrastructure strategy across enterprise, cloud, and data centre environments. You will work directly with executive ...

Hands on data science with real delivery and outcomes. Build and deploy AI and ML solutions used day to day by the business. Strong technical role combining data science, Python and production systems. Remote working with required monthly travel to the Bristol office. As a Data Scientist (AI & ML … science lifecycle. You will explore data, train models, and build AI driven solutions that are deployed into production environments. The application of AI and ML within this role will mean building, experimenting and getting involved from the technical side, but then also presenting this back to stakeholders and owning business ...

systems Evaluate and apply cutting-edge academic research to real-world financial problems Work closely with quant researchers, engineers, and senior stakeholders to embed ML into core decision-making Help build and mentor a growing research team Requirements Published research in peer-reviewed venues such as IEEE, ICML, NeurIPS, ICLR … equivalent Deep expertise in time series modelling - financial data experience strongly preferred Proven end-to-end ML experience: data pipelines, model development, deployment, and monitoring Strong Python and ML engineering skills (PyTorch or JAX) PhD in ML, Statistics, Computer Science, or related field (or equivalent research output) Ability to communicate ...

monitoring, exception management, document processing, and notification workflows) to eliminate manual tasks in supply operations processes * AI & Analytics: Support development based on AI/ML-based tools for decision support, data analysis, predictive capabilities, and operational insights within Supply Operations team * Digitalization: Support the digital transformation roadmap by building prototypes … Analytics, or related technical discipline * Proven experience in process automation (Python, Power Automate, Power Apps, UiPath, or similar technologies) * Working knowledge of AI/ML tools and frameworks (e.g., machine learning libraries, NLP, generative AI applications, AI copilots, or automation agents) * Experience with data manipulation and visualization ...

data products, ensuring high quality outputs for clients and internal stakeholders. The Role: You will sit within the Machine Learning team, helping ML engineers to deliver high-quality production models and data products through testing, analysis, validation and operational support. You’ll work across analysis, testing, validation … Perform testing and validation of new fields, logic changes and product releases. • Investigate data quality issues and support root cause analysis with Engineering and ML teams. • Write SQL and Python queries/scripts to interrogate data and automate checks. • Support internal stakeholders and clients with product queries, incidents and data ...

data products, ensuring high quality outputs for clients and internal stakeholders. The Role: You will sit within the Machine Learning team, helping ML engineers to deliver high-quality production models and data products through testing, analysis, validation and operational support. You’ll work across analysis, testing, validation … Perform testing and validation of new fields, logic changes and product releases. • Investigate data quality issues and support root cause analysis with Engineering and ML teams. • Write SQL and Python queries/scripts to interrogate data and automate checks. • Support internal stakeholders and clients with product queries, incidents and data ...

proficiency (Git) all analytical work should be reproducible and code-reviewed Statistical & Analytical Foundation Postgraduate qualification (Master's or equivalent) in Statistics, Applied Mathematics, Machine Learning, Data Science, or a closely related quantitative field or demonstrated equivalent experience Deep understanding of statistical inference, uncertainty quantification, and the practical ...

sector Why Join Impact: Work on systems that support national security and critical operations Progression: Clear career pathways from Junior to Senior and beyond Learning: Ongoing technical development and exposure to advanced technologies Environment: Collaborative, mission-driven engineering culture Benefits: Competitive salary, bonus, hybrid working, and long-term career … Full Stack Developer, Distributed Systems, Microservices, Kubernetes, Docker, AWS, Azure, Infrastructure as Code, Agile, Scrum, Linux, Cybersecurity, Network Security, Real-Time Systems, Data Engineering, Machine Learning, Artificial Intelligence, Signal Processing, RF Systems, Simulation, Test Automation, Integration Engineer, Technical Consultant, Public Sector, Government Technology, Defence Technology ...

enterprise software. You have a track record of developing and launching service offerings or products from concept to market success. Experience in AI/ML, data analytics, or digital transformation services is highly desirable. Domain Exposure : Financial Services & Corporates: Experience serving both financial services and corporate clients is essential. ...

ownership. What you'll be doing Build and deploy LLM-based applications , including RAG systems, chatbots, and agentic workflows Apply traditional ML techniques (e.g. regression, classification, gradient boosting) where appropriate Design and deliver end-to-end AI systems from discovery to production Develop agentic workflows across areas like underwriting …/CD, Docker, Kubernetes, APIs What you bring Core requirements 5+ years in data science/machine learning Strong foundation in traditional ML (e.g. XGBoost, regression, statistical modelling) Hands-on experience with LLMs/GenAI/NLP/AI systems Experience deploying models into production (not just experimentation ...

logistics partners to automate quoting, sourcing, and fulfilment workflows. What We're Building We're building a sophisticated AI platform that leverages graph databases, machine learning, and modern cloud infrastructure to deliver intelligent procurement and customer service … solutions. Our stack includes: Backend Services : Python 3.13, FastAPI, async micro-services architecture Data Layer : Neo4j graph database, PostgreSQL, complex data modelling AI/ML : OpenAI integration, semantic search, conversational agents, unstructured data analysis and extraction Infrastructure : AWS (Lambda, ECS/EKS, API Gateway, S3) DevOps : Terraform, GitHub Actions, Helm ...

logistics partners to automate quoting, sourcing, and fulfilment workflows. What We're Building We're building a sophisticated AI platform that leverages graph databases, machine learning, and modern cloud infrastructure to deliver intelligent procurement and customer service … solutions. Our stack includes: Backend Services : Python 3.13, FastAPI, async micro-services architecture Data Layer : Neo4j graph database, PostgreSQL, complex data modelling AI/ML : OpenAI integration, semantic search, conversational agents, unstructured data analysis and extraction Infrastructure : AWS (Lambda, ECS/EKS, API Gateway, S3) DevOps : Terraform, GitHub Actions, Helm ...

initiatives. This is a high-impact, hybrid role designed for a technical visionary who can bridge the gap between cutting-edge machine learning and commercial product delivery. You will be responsible for leading the technical direction, building end-to-end AI products, and managing a team of data … Executive Stakeholder Management: Translate complex technical concepts for senior management and the C-suite, acting as a strategic partner to the business. Required Qualifications ML Mastery: Proven track record in Data Science/ML with expertise in Python, SQL, and deep learning libraries (TensorFlow, Keras, or PyTorch). Production ...

initiatives. This is a high-impact, hybrid role designed for a technical visionary who can bridge the gap between cutting-edge machine learning and commercial product delivery. You will be responsible for leading the technical direction, building end-to-end AI products, and managing a team of data … Executive Stakeholder Management: Translate complex technical concepts for senior management and the C-suite, acting as a strategic partner to the business. Required Qualifications ML Mastery: Proven track record in Data Science/ML with expertise in Python, SQL, and deep learning libraries (TensorFlow, Keras, or PyTorch). Production ...

work in small, collaborative teams to explore ideas, test solutions, and scale products that deliver meaningful value to customers. Our environment supports autonomy, learning, and inclusive collaboration.**About the Role**As a **Senior Principal Data Scientist**, you will contribute deep technical expertise while helping shape best practices across … Geospatial modeling Causal inference Reinforcement learning Optimization problems Anomaly detection* **Deployment Experience*** Proven track record of deploying or partnering on **customer-facing production ML systems**.* Proficiency in Python and SQL (experience with distributed or cloud‐based data platforms is a plus)* Ability to communicate technical ideas clearly ...

help employees understand AI implementation. What You'll Bring Currently enrolled in an undergraduate or graduate program in Computer Science, Data Science, AI/ML, or a related discipline. Active GitHub profile with at least one substantive AI or machine learning project. At least one prior project using …/ML tools or techniques (academic, personal, or professional). Previous internship or work experience in a business or technology environment. Strong communication skills — able to bridge technical and non-technical conversations. Personable, enthusiastic, and naturally able to teach diverse stakeholders about AI topics. Comfort with Python and familiarity with ...

reusable solutions. Support and mentor team members across the wider Data team. Work closely with agile teams to deliver data products that support machine learning and AI projects. Help business stakeholders understand technical solutions and project goals. Support data governance through testing, documentation, and quality checks. Keep … Jenkins. Experience with orchestration tools such as Airflow. Knowledge of BI and visualisation platforms such as Tableau. A mindset focused on learning, improvement, and software engineering best practices. At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which ...

environments. The Role Youll act as a technical specialist and team lead, delivering innovative machine learning solutions: Building and deploying LLMs and ML models (cloud or HPC) Leading technical delivery across projects Driving adoption of GenAI, RAG, and agent-based systems Acting as the SME for ML engineering ...

with clients.* Develop compelling narratives around IQVIA’s newest AI solutions and systems.### ### **Project Leadership & Delivery*** Design and oversee delivery of AI/ML projects involving clinical development simulation, RWD, trial data, omics, and other structured/unstructured sources.* Manage cross‐functional teams to ensure high‐quality, on‐time … solutions using state‐of‐the‐art platforms.* Lead multidisciplinary teams combining industry, technical, and functional expertise.* Guide development of AI strategy roadmaps, PoCs, ML pipelines, and deployment strategies.* Collaborate with external technology partners for successful delivery.### ### **Practice Building*** Shape and scale a new AI Life Sciences practice, including defining ...

Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in startup environments or high-growth technology companies. Benefits Hybrid working as standard ...

assets, building acquisition, orchestration, data pipelines and curated data marts and data egresses. We are seeking to mature our advanced capabilities with standardised practices, machine learning and agility needed to pro-active detect and respond to new public health issues. You will be involved in the delivery lifecycle ...

skills across multiple levels Preferred Qualifications Bachelor's degree in computer science (or similar) 7+ years of relevant industry experience Experience with AI/ML and LLM's Experience with application tracing , monitoring , analysis and visualizations through analytics dashboards Passion for high-quality code, tests, CI/CD, documentation ...

skills across multiple levels Preferred Qualifications Bachelor's degree in computer science (or similar) 7+ years of relevant industry experience Experience with AI/ML and LLM's Experience with application tracing , monitoring , analysis and visualisations through analytics dashboards Passion for high-quality code, tests, CI/CD, documentation ...