226 to 250 of 5,528 Machine Learning Jobs in the UK

inform team technical decisions Document designs, implementation details, and tradeoffs to support maintainability and knowledge sharing Support scalability, reliability, and security of AI and machine learning solutions in production, with a focus on operational readiness and sustainability Partner with operations stakeholders to understand workflow pain points and translate … technical audiences Collaborate effectively on multi-disciplinary teams and incorporate feedback into your work Preferred Qualifications, Capabilities, and Skills Apply AI and machine learning concepts with a strong interest in applied AI productization Bring experience from academic work, projects, internships, or roles applying AI in finance, operations, markets ...

APIs, services, and user interfaces using * Establish data foundations through reusable data models, metadata standards, and FAIR data products in Snowflake that support analytics, machine learning, and AI. * Apply AI and agentic development practices to rapidly prototype tools and visualisation capabilities that enhance lead selection and decision-making … integrations. * Knowledge of cloud-based data platforms and modern data engineering approaches. * Experience developing APIs, workflow orchestration systems, or scientific web applications. * Experience applying machine learning, generative AI, or advanced analytics in scientific environments. * Familiarity with FAIR data principles and research data governance. * Experience working within agile product ...

expertise in any of Python/KDB/C++, for real-time data processing, application development, or data engineering. Working knowledge of AI technologies (machine learning, generative AI, etc.) to support data engineering, analytics, or SDLC automation. Proficiency in automation and continuous delivery methods; advanced understanding of agile … environments in public cloud. Strong knowledge and experience in FIX, Market Data, Analytics, OMS, and equities trading in global markets are assets. Knowledge of machine learning, statistical techniques, and related libraries. J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world ...

including applications, APIs, services, and user interfaces using Establish data foundations through reusable data models, metadata standards, and FAIR data productsin Snowflakethat support analytics, machine learning, and AI. Apply AIandagentic development practices to rapidly prototype tools and visualisation capabilities that enhance leadselectionand decision-making in drug discovery campaigns. … integrations. Knowledge of cloud-based data platforms and modern data engineering approaches. Experience developing APIs, workflow orchestration systems, or scientific web applications. Experience applying machine learning, generative AI, or advanced analytics in scientific environments. Familiarity with FAIR data principles and research data governance. Experience working within agile product ...

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity … cutting edge. Or, join our core engineering teams, and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more. Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative, agile environment where ...

output of our rail inspection systems. You will work across the full stack with a strong emphasis on backend data processing, analytics, and machine learning workflows, all hosted on AWS cloud infrastructure. These seats sit close to the ranking and fusion logic itself, so the work … serve data products to internal and external consumers Work with large-scale rail inspection datasets including ultrasonic, electromagnetic, and operational data Implement and deploy machine learning models and statistical analyses in production environments Architect and manage AWS cloud infrastructure for data workloads (S3, Lambda, Glue, Athena, SageMaker, Step ...

historical market data, pricing services, scenario generation, or analytics input validation, experience with observability, production support, automated controls, regression testing, reconciliation, model input validation, machine learning, NLP, or responsible AI applications in financial analytics, CFA, FRM, CQF, or other relevant professional qualification. Условия Health & wellness health care coverage … Generous time off Continuous learning access #J-18808-Ljbffr ...

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity … cutting edge. Or, join our core engineering teams, and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more. Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative, agile environment where ...

firm’s business objectives. You will work on challenging Cloud-native data, backend engineering and AIML engineering, helping us industrialize AI/ML models at Production scale. This role is a technical hands-on Engineering role. Experience with data science/ML modeling is advantageous but not essential to this … with data, AWS and AIML engineering in commercial settings, preferably in financial sector Experience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOps Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases Prior experience collaborating with data ...

firm’s business objectives. You will work on challenging Cloud-native data, backend engineering and AIML engineering, helping us industrialize AI/ML models at Production scale. This role is a technical hands-on Engineering role. Experience with data science/ML modeling is advantageous but not essential to this … with data, AWS and AIML engineering in commercial settings, preferably in financial sector Experience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOps Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases Prior experience collaborating with data ...

Ryan? Competitive Compensation and Benefits Business Connectivity Reimbursement (Phone/Internet) Gym Membership or Equipment Reimbursement LinkedIn Learning Subscription Flexible Work Environment Tuition Reimbursement After One Year of Service Accelerated Career Path Award-Winning Culture & Community Outreach #Li-hybrid #LI-DR1 Ryan offers outstanding opportunities to work … while maintaining ownership and understanding of the code produced. Education and Experience: Bachelor’s or master’s degree in Computer Science, Engineering, AI/ML, or a related technical field, or equivalent relevant experience. Suitable for recent graduates and candidates with approximately 0-3 years of professional software engineering experience. ...

explain complex ideas to specialists and non-specialists alike. Skilled at writing high-quality Python code using modern software development practices. Confident analysing and learning from large-scale datasets in a scientific context. Experienced running tools and workflows in a scalable system, for example Linux based HPC environments … particularly R or C++. A PhD or postgraduate degree in a scientific field, ideally genomics, bioinformatics or computational biology, with familiarity in statistics and machine learning. Prior experience working in a team, ideally in an industry setting. Your Package We are committed to providing a transparent, supportive, and rewarding ...

communicate project progress, and ensure alignment with their strategic/project goals. As an influential member of the team, you’ll create a positive learning culture and will coach and counsel junior members of the team and help them develop. Working in multi-disciplinary teams across a range … Programming languages: SQL, Python, R Experience in any aspects of the data analytics lifecycle, for example: Data Manipulation and ETL Data Analysis & Visualization Applying machine learning statistical analysis and other advanced analytics techniques to key business issues faced by our clients that can transform and improve their entire ...

Abilities: Deep understanding of the distinction between Generative AI and Agentic AI, including their foundations, capabilities, and appropriate use cases. Strong understanding of AI, ML and LLM concepts, including prompt engineering, prompt grounding, iterative loop techniques, context windows, embeddings, RAG, agentic workflows. Proven ability to integrate AI capabilities both into … Degree in Computer Science, IT, Engineering, or a related discipline (or equivalent practical experience). Professional certifications in AI Fluency or specialised AI/ML technologies are advantageous, although strong self‐directed learning and practical AI experience are equally valued. #J-18808-Ljbffr ...

foundation in probability, to support robust model development and interpretation. Proficiency in Object-Oriented programming in Python with expertise in key data science and machine learning libraries (e.g. TensorFlow, PyTorch and Scikit-Learn). Expertise in cloud technologies (emphasis on Azure and/or AWS) and deployment practices … founding member of the organization that's delivering brand-new products that democratize modeling and analytics solutions. Collaborative environment: We provide opportunities for continuous learning and professional development in a work environment of dedicated, highly experienced teams. Career Stage: Senior Associate London Stock Exchange Group (LSEG) Information: Join ...

join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future … technical execution of onboarding new regulatory requirements, ensuring the platform is adaptable to evolving global compliance standards.AI & Automation Integration: Apply knowledge of AI/ML concepts to explore and implement intelligent automation, anomaly detection, or data classification solutions within the regulatory reporting pipelines.Hands-On Development: Write clean, robust, and testable ...

join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future … execution of onboarding new regulatory requirements, ensuring the platform is adaptable to evolving global compliance standards. AI & Automation Integration:Apply knowledge of AI/ML concepts to explore and implement intelligent automation, anomaly detection, or data classification solutions within the regulatory reporting pipelines. Hands-On Development: Write clean, robust ...

deliver scalable data infrastructure, APIs, and services with a focus on reliability, performance, data integrity, and innovation—including the integration of AI/ML capabilities to enhance data solutions and developer productivity How You’ll Make an Impact: Lead and mentor a high-performing software engineering team, fostering technical excellence … driving organization-wide engineering improvements. Why Choose Fitch: Work-Life Balance First: 40% in-office monthly stay connected while keeping flexibility. A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity Investing ...

e.g., GitHub Copilot, generative AI coding assistants) to improve engineering productivity, code quality, and delivery efficiency Understanding of data engineering considerations for AI and machine learning workloads, including data quality, governance, lineage, and scalability requirements Education Bachelors degree or equivalent experience; Masters degree is a plus Responsibilities ...

delivery of machine learning systems at Super Technologies. By combining cutting‐edge applied machine learning, foundational research, and seamless ML operations, the team harnesses data to revolutionize the online gambling and sports betting experience. From predictive analytics and personalization to fraud detection and real‐time recommendations … gaming or entertainment industry Experience working with tools and technologies such as Spark, Snowflake, Qwak, MLFlow, Airflow, etc Contributions to open‐source AI/ML projects or participation in AI/ML competitions (e.g., Kaggle) Experience with training and fine‐tuning large‐scale foundation models (e.g., GPT, BERT ...

transformation. Solid hands‐on technical skills – for example SQL and Python, data manipulation and engineering, and exposure to generative AI/LLM tools, machine learning or analytics platforms such as Power BI or Alteryx. Experience with using low code applications such as Microsoft Copilot Studio and Power Platform. ...

technology and regulation and translating them into practical action. What we look for Demonstrated proficiency in: Rapid prototyping of data science and machine learning solutions on large datasets. Building agentic workflows and autonomous agents using frameworks like Langchain, Semantic Kernel, AutoGen, and LangGraph. Developing and optimizing generative ...

. Familiarity with BI, data visualisation, and DevOps principles. Strong understanding of data governance, security, and compliance frameworks (GDPR, CCPA, HIPAA). Exposure to machine learning and AI integration within modern data platforms. Experience, Qualifications, And Education Experience: Minimum 8–12 years in data architecture, engineering, or consulting ...

marketing effectiveness programs for international clients, from data strategy and collection to modelling, insights, and activation. Apply econometrics, regression, Bayesian statistics, and machine learning methods to analyse marketing and customer data. Collaborate closely with Managers to understand the project scope, structure, analytical approaches, manage operations and ensure timely ...

Architecture capabilities: Master and Reference Data Management, Data Quality, Metadata Management, Data Taxonomy, Data Integration, Data Migration, and Data Modeling. Demonstrated proficiency in AI, machine learning, or related techniques as applied to architecture or software engineering disciplines. Hands‐on experience with object‐oriented software development using languages such ...