276 to 300 of 6,120 Machine Learning Jobs in the UK

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 ...

assets, demo quality, and stakeholder feedback. What experience you'll bring: Basic Qualifications: 5+ years of experience in software engineering, AI engineering, data engineering, ML engineering, solution engineering, technical consulting, or related hands-on technical roles.2+ years of experience building or deploying AI, ML, GenAI, LLM, RAG, agentic AI, data … MLOps/LLMOps tooling. Experience working directly with clients, sales teams, or product teams to rapidly prototype solutions under ambiguous conditions. AI/ML, cloud, data engineering, or software engineering certifications. Strong technical curiosity, client empathy, communication, bias for action, collaboration, and ability to explain complex technical concepts clearly. Ability ...

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. ...

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 … 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 ...

strategies that expand platform usage. The Impact You Will HaveIndependently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learningBuild and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical winsOwn frontline technical relationships with customer engineers … Experience leading technical customer conversations — discovery, whiteboarding, architecture reviewsFamiliarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analyticsStrong presentation and demo skills — you will build and present a live solution during the interviewBachelor's or Master ...

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. ...

compellingly to non-technical audiences, while educating and inspiring stakeholders on the transformative potential of AI and data science. Take full ownership of existing ML/AI models, ensuring robust and ongoing monitoring of performance, data drift, scoring latency, and continuous optimisation. Ensure full compliance with regulatory frameworks and data … maths, statistics, or computer science, with the ability to explain how technical work impacts the business. Demonstrable experience with supervised, unsupervised, and deep learning methods, applying these to solve real business problems, especially in financial services or regulated industries. Hands-on experience managing end-to-end AI projects, from ...

compellingly to non-technical audiences, while educating and inspiring stakeholders on the transformative potential of AI and data science. Take full ownership of existing ML/AI models, ensuring robust and ongoing monitoring of performance, data drift, scoring latency, and continuous optimisation. Ensure full compliance with regulatory frameworks and data … maths, statistics, or computer science, with the ability to explain how technical work impacts the business. Demonstrable experience with supervised, unsupervised, and deep learning methods, applying these to solve real business problems, especially in financial services or regulated industries. Hands-on experience managing end-to-end AI projects, from ...

compellingly to non-technical audiences, while educating and inspiring stakeholders on the transformative potential of AI and data science. Take full ownership of existing ML/AI models, ensuring robust and ongoing monitoring of performance, data drift, scoring latency, and continuous optimisation. Ensure full compliance with regulatory frameworks and data … maths, statistics, or computer science, with the ability to explain how technical work impacts the business. Demonstrable experience with supervised, unsupervised, and deep learning methods, applying these to solve real business problems, especially in financial services or regulated industries. Hands-on experience managing end-to-end AI projects, from ...

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 ...

standards. Work effectively with engineers, product managers, operations, security, and customer-facing teams. Communicate progress, risks, and technical questions clearly and promptly. Pursue ongoing learning in cloud, data, IoT, and AI technologies. Preferred Qualifications Experience with OCI, AWS, Azure, Google Cloud, or another cloud platform. Experience with Kubernetes, Docker … following areas: Data engineering or data platforms, including ingestion, processing, storage, or pipelines IoT, device connectivity, telemetry, or edge-to-cloud systems AI/ML platforms, model training, model serving, RAG, evaluation harnesses, AI agents, or MCP Familiarity with REST APIs, source control, code review, automated testing, CI/ ...

standards. Work effectively with engineers, product managers, operations, security, and customer-facing teams. Communicate progress, risks, and technical questions clearly and promptly. Pursue ongoing learning in cloud, data, IoT, and AI technologies. Preferred Qualifications Experience with OCI, AWS, Azure, Google Cloud, or another cloud platform. Experience with Kubernetes, Docker … following areas: Data engineering or data platforms, including ingestion, processing, storage, or pipelines IoT, device connectivity, telemetry, or edge-to-cloud systems AI/ML platforms, model training, model serving, RAG, evaluation harnesses, AI agents, or MCP Familiarity with REST APIs, source control, code review, automated testing, CI/ ...

Extra Credit, or The Focus Areas You Will Develop Experience with analytics and risk modeling Experience in a SaaS product development environment Familiarity with ML techniques and statistical data analysis Familiarity with AI/LLM risk and its implications for cyber risk, social engineering, product safety, errors/omissions … specific Competitive salary and unlimited PTO Generous healthcare benefits with medical, dental and vision coverage Monthly catered lunches and happy hours Company-paid learning and development assistance Dependant care assistance plan UK specific Competitive salary, pension and benefits Generous private medical healthcare insurance with dental and vision coverage Extra ...

line of code, but you understand the platform end-to-end and own outcomes. You'll partner closely with product owners, data scientists and machine learning engineers, site reliability engineering, and business stakeholders to deliver stable, scalable cloud-native analytics. Job responsibilitiesOwn application governance and records by maintaining ...