626 to 650 of 4,929 Machine Learning Jobs in England

safe and efficient manner. You will need strong coding experience in Python or R and SQL with an appreciation of advanced analytical techniques: Statistics, Machine Learning, Deep Learning and a demonstrable ability to evaluate and select the right approach for the nature of problems to be solved. … cleansing and analysing large data sets and articulate data insight in a clear way Working knowledge of multiple relevant technologies such as (Databricks, Azure ML, SQL databases, Data Visualisation tools such as Tableau or PowerBI) Strong knowledge of one or more relevant languages such as Python/R/ ...

within the Aerodynamics department. Reporting to the Lead AI Engineer, you will work on specialist projects that bridge aerodynamic engineering and AI developing advanced machine learning models, surrogate models, and automated geometry tools that give Williams Racing a competitive edge in vehicle development. This is a technically demanding … long-term mission to evolve and return to the front of the grid. Qualifications SKILLS & EXPERIENCE Essential Proven experience developing and deploying AI/ML models, particularly for scientific or engineering applications. Strong proficiency in Python with the PyTorch framework. Understanding of computational geometry principles and familiarity with mesh generation ...

from various sources and analyze it for better understanding about how the business performance can be enhanced, and to analyze output from AI and ML tools that automate certain processes for capital allocation in the UK. The Data Scientist will report to the Lead Data Scientist in the US/… vast amounts of data, and help us make smarter investment and asset management decisions. The primary focus of this role will be in applying machine learning and predictive analytics techniques, doing statistical analysis, and building high-quality prediction systems integrated with our business model. This role will support ...

responsible for the research, design, and continuous improvement of our execution algorithm platform. We combine deep expertise in market microstructure, statistical modelling, and machine learning with world-class engineering to build algorithms that optimise execution quality, minimise market impact, and adapt intelligently to real-time market conditions. … clients. Continuous learners — You stay at the frontier of quantitative research, whether that means reading the latest papers on optimal execution, experimenting with new ML techniques, or learning from post‐trade analytics. Culture carriers — You contribute to an inclusive, high‐performance team culture. You are willing to mentor others ...

maintaining a data pipeline. In addition, data scientists shall interpret and analyze complex sets of data, as well as plan, execute, and manage ML projects with cloud-native platforms and advanced ML solutions. They understand some of the most challenging processes, technologies, and can leverage a vast array of methodologies … Python (NumPy, SciPy, Pandas) or similar analytical languages. Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake. Communicate complex concepts and hypothesis to a non-technical audience through digital storytelling. Requirements ...

development and organizational readiness.Your Skills and ExperienceBachelor’s degree in computer science, Data Science, Engineering, Information Technology, or related field.Strong understanding of AI/ML concepts, Large Language Models (LLMs), GenAI platforms, and intelligent automation technologies.Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud.Strong problem-solving, analytical … strategic thinking skills.AI/Cloud certifications (Azure AI Engineer, Azure Solutions Architect, AWS AI/ML, Google Cloud AI, etc.).Key CompetenciesAI Strategy & Vision, articulation abilitiesSolution Architecture, solutioning approach, client communicationGenerative AI & LLMs, SLMs, Industry trends, and AI project delivery expertiseBusiness Transformation, Stakeholder Management, Executive CommunicationData & Analytics, Responsible AI GovernanceLeadership ...

JD.com is seeking a Data Engineer to design, build, and maintain scalable data pipelines and platforms that power our analytics and machine learning systems. You will work closely with product managers, data scientists, and business stakeholders to ensure data availability, quality, and efficiency across international markets. This role … reliability and compliance in a global context. Key Responsibilities Design and implement robust data pipelines and ETL processes to support analytics, reporting, and ML model training. Build and optimize scalable data storage and retrieval systems to handle high-volume, multi-market datasets. Ensure data quality, consistency, and compliance with regulations ...

readiness.## Your Skills and Experience* Bachelor’s degree in computer science, Data Science, Engineering, Information Technology, or related field.* Strong understanding of AI/ML concepts, Large Language Models (LLMs), GenAI platforms, and intelligent automation technologies.* Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud.* Strong problem … solving, analytical, and strategic thinking skills.* AI/Cloud certifications (Azure AI Engineer, Azure Solutions Architect, AWS AI/ML, Google Cloud AI, etc.).**Key Competencies*** AI Strategy & Vision, articulation abilities* Solution Architecture, solutioning approach, client communication* Generative AI & LLMs, SLMs, Industry trends, and AI project delivery expertise* Business ...

readiness.## Your Skills and Experience* Bachelor’s degree in computer science, Data Science, Engineering, Information Technology, or related field.* Strong understanding of AI/ML concepts, Large Language Models (LLMs), GenAI platforms, and intelligent automation technologies.* Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud.* Strong problem … solving, analytical, and strategic thinking skills.* AI/Cloud certifications (Azure AI Engineer, Azure Solutions Architect, AWS AI/ML, Google Cloud AI, etc.).**Key Competencies*** AI Strategy & Vision, articulation abilities* Solution Architecture, solutioning approach, client communication* Generative AI & LLMs, SLMs, Industry trends, and AI project delivery expertise* Business ...

shaping the strategic direction of the data science function, defining modeling strategies that balance immediate needs with long-term vision (2+ years ahead), setting ML/AI standards and tooling, and elevating the work of others through rigorous technical review in close partnership with Product, Engineering, and Clinical teams. … role Responsibilities Lead the design and development of cutting-edge ML, AI, and statistical models for population health in close collaboration with Product, Clinical, and Engineering teams. Define and execute modeling strategies that balance current business needs with long-term technical vision (2+ years ahead). Establish ML/ ...

5+ years of hands-on experience in software quality assurance or engineering, with a strong focus on testing complex distributed systems or AI/ML applications. 5+ years of experience working with GitHub actions Proficiency in programming languages like Python or Typescript for test automation, and experience with modern testing … frameworks such as Playwright. Solid understanding of AI/ML concepts, including model evaluation metrics, data pipelines, and the unique challenges of testing generative AI outputs. Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) in a CI/CD environment is a big plus. Exceptional analytical ...

with industry best practices. You will act as a trusted technical advisor, leading the architecture of data platforms that enable advanced analytics, AI/ML workloads, data sharing, and operational reporting. Working across the full project lifecycle, you will define target-state architectures, data models, governance frameworks, and integration patterns … controls, and regulatory compliance. Documentation: Produce and maintain architecture artefacts, standards, patterns, and technical documentation. Future Technology: Guide customers on emerging technologies including AI, ML, GenAI, and advanced analytics leveraging Snowflake and Databricks capabilities. Cloud Experience: Proven experience in multi-cloud architecture across AWS and Azure, designing and integrating modern ...

applications, workflows, and AI-powered tools. Transform ideas and prototypes into scalable systems used by front-office teams. Work across data engineering, software engineering, machine learning, and cloud technologies. Drive adoption of modern engineering practices and emerging technologies. Translate technical concepts into business impact for non-technical stakeholders. … bias for action. Ability to work directly with business stakeholders and rapidly deliver solutions. Experience with cloud platforms, data pipelines, APIs, and AI/ML tooling. Strong communication skills and commercial mindset. Nice to Have Experience in financial services, quantitative research, trading, or investment management. Exposure to LLMs, AI agents ...

Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead … tools and processes Tech Enthusiasm: Strong passion for technology and a drive to continuously learn Team Collaboration: Eagerness to join a diverse team of ML, AI, and DevOps enthusiasts Bonus Points If You Have: Start-Up/Scale-Up Experience: Previous experience working in a start-up or scale ...

risks driven by generative AI. You will own the science strategy for LLM-powered classification and semantic understanding, real-time multimodal content evaluation, adversarial ML and adaptive model resilience, proactive risk intelligence and content risk hunting, AI-generated and synthetic content detection, and large-scale abusive content system identification … fail here; you will build living systems that learn and respond in real time. You will do this at internet scale, developing low-latency ML and LLM-powered systems evaluating content safety, brand suitability, misinformation risk, and emerging content risk vectors across massive real-time traffic streams, making billions ...

applications, workflows, and AI-powered tools. Transform ideas and prototypes into scalable systems used by front-office teams. Work across data engineering, software engineering, machine learning, and cloud technologies. Drive adoption of modern engineering practices and emerging technologies. Translate technical concepts into business impact for non-technical stakeholders. … bias for action. Ability to work directly with business stakeholders and rapidly deliver solutions. Experience with cloud platforms, data pipelines, APIs, and AI/ML tooling. Strong communication skills and commercial mindset. Nice to Have Experience in financial services, quantitative research, trading, or investment management. Exposure to LLMs, AI agents ...

Quantitative Trading & Research – Quantitative developer in the AI Market Lab, you will work at the boundary of quantitative research, low-latency engineering, and ML infrastructure, creating reliable platforms that shorten the path from raw market data and research prototypes to monitored, resilient production strategies. We are seeking strong talent … engineering, mathematics, or a related technical discipline (or equivalent professional experience). Relevant professional experience in software engineering, quantitative development, low-latency systems, or ML infrastructure. Strong modern C++ skills in data structures, concurrency, memory management, performance profiling, and production debugging. Proficiency in Python and experience building software for quantitative ...

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. Unleash Your Potential When you join ...

guide cutting-edge projects, fostering growth and innovation in a dynamic environment. As a Lead Technical Program Manager in Corporate Technology, AI/ML Data Platforms team, you will drive the successful delivery of complex technology projects and programs that will help reaching business goals across the firm. Leveraging your … effectively managing the dynamic landscape of GenAI. Experience in organizational operation, Excel data analysis, and organization budgeting & planning Experience or exposure in the AI ML, Data ecosystem space Expertise on the AI and data product lifecycle, spanning from data discovery, data processing, model development, model deployment, and model monitoring Microsoft ...

production scale. Lead and mentor data scientists and engineers, fostering technical excellence and a culture of continuous learning. Safely integrate and operate AI/ML‐enabled solutions that improve outcomes, ensuring models are reliable, ethical, and scalable. Co‐own with Product and business leaders the metric frameworks and decision workflows … testing, quasi-experiments, and causal inference methods (e.g., Pre/Post, causal impact, multivariate, multi‐armed bandit) You have hands‐on experience building ML/NLP models at production scale (e.g., text classification, semantic similarity, quality scoring) You have advanced proficiency in SQL and Python, with ability to write clean ...

including transactional/EPOS, digital, retailer, social, loyalty etc Delivery Excellence - Experience developing and implementing insight solutions, MarTech/data driven CX solutions or ML/AL solutions. Proven experience owning workstreams including planning, execution, and successful delivery of insights or AI/ML POCs, MVPs and production grade solutions. … with the ability to communicate complex ideas clearly to stakeholders Innovative Mind - A strong interest and experience with the latest advancements in data, AI, machine learning, and data science space It Would Be a Bonus If You Have Experience in primary growth sectors; CPR (Consumer Products & Retail ...

firm to have a dedicated AI department. Since then, we have been experimenting with a broader range of ML techniques, extending those tools already in use, and productionising new ones through our growing data science & engineering teams. We believe that we are well positioned to leverage Fletchers’ unique legal-medical … building backends and data environments completely from scratch) Previous experience with Azure (Container Apps, endpoints, and cloud deployment) Prior exposure to NLP, LLMs, and ML tools Experience in professional services domains In return Fletchers offers 35 hours working week Bonus scheme (subject to targets being met) 35 days holiday ...

exciting opportunity for an experienced AI Engineer to work at the forefront of artificial intelligence innovation, developing cutting‐edge solutions that combine machine learning, Generative AI, and advanced data capabilities. You will have the opportunity to influence the direction of AI initiatives from the ground up, working across … applications while collaborating with talented technical teams to deliver solutions that create real business value. Key responsibilities Design, develop, and deploy scalable AI and machine learning solutions, taking projects from concept through to production with a focus on predictive analytics, optimisation, automation, Generative AI, and agentic AI. Build ...

with exciting challenges - be it through the support and further development of legacy systems or the introduction of modern technologies such as AI, machine learning and highly automated trading applications. Your Role in the Team In this role, you will play a key part in driving the development … degree in Computer Science, Business Informatics, or a comparable qualification Several years of professional software development experience, ideally with initial experience in AI/ML as well as cloud deployment (GCP or Azure) Very good programming skills in Python or Java/Kotlin, as well as experience with frontend technologies ...

organizations. In this role, you will: Develop, deploy and continuously improve distributed, big-data pipelines powering Altana’s state of the art network analysis, ML, data ingestion and fusion capabilities Understand and drive forward Altana's technology to make it more scalable and to meet the evolving requirements … required Experience with managing a data platform, including monitoring and managing releases, costs and infrastructure changes Expertise or experience with the deployment of ML pipelines Exposure to trade compliance, supply chain management or a field similarly related to international commerce Experience working with or within the public sector Familiarity using ...