951 to 975 of 1,153 Machine Learning Jobs in the UK excluding London

ensuring traceability, documentation accuracy, and compliance. Ensure solutions meet compliance standards (e.g. ISO 27001). AI & Data Awareness Ensure solution designs support AI/ML-enabled capabilities where relevant (e.g. data lineage, governance, feature management, and model integration patterns). Collaborate with wider technical teams to define integration approaches … Zachman). Background in software engineering, data architecture, or infrastructure engineering. Exposure to designing internal accelerators, frameworks, or reusable components. Awareness of AI/ML architecture patterns, generative AI integration considerations, or data lineage and monitoring concepts. Company Rapidly growing financial services organisation with offices in London Hybrid working Salary ...

Founding Mobile Engineer Location: Chattanooga, TN ( onsite ) Salary: $120k-150k Company: the company is the modern marketplace & intelligence platform for trading cards. New grads welcome to apply. Note: The provided text contains multiple postings and ...

data in real-time, the structuring, storage and processing of that data for insight, to the usage of the data in event driven applications, ML and AI.As a Senior Manager Architect in Data you will be an experienced technical leader bringing business, industry and deep technical understanding to shape … specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI* Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB)* A track record in leading ...

translate complex data into actionable insights that influence fixed income decisions across active funds. You will collaborate with portfolio management and trading teams, exploring machine learning and alternative data to enhance Agency MBS and ACMBS strategies. The role emphasizes rigorous quantitative analysis, communication, and the ability to connect ...

experts. From our cutting-edge facilities in Oxfordshire, we are transforming the production of advanced metal components through a unique combination of additive manufacturing, machine learning, physical modelling, and materials science. Working across sectors including aerospace, electronics, and industrial engineering, we are building the world's fastest, smartest ...

executive stakeholders and non-technical peers. Enabling Innovation: Designing usable data models and building reliable foundations that empower advanced analytics, LLMs, and AI/ML applications. Modernising Infrastructure: Overseeing the evolution of cloud data platforms to maximize performance, reduce latency, and optimize cloud costs across AWS, Azure, or Google Cloud. … benefit. Health & Wellness: Medicash Health Cash Plans, Employee Assistance Programme, and Group Sickness Cover. Flexible Working: Hybrid working championed with home office setup budget. Learning & Development: Access to Udemy Business and a dedicated learning budget. Lifestyle Perks: Cycle to Work Scheme, gym and retail discounts. Family First: Enhanced ...

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 ...

business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof … transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable ...

business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof … transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable ...

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 … project management, and development skills* Relationship and consensus building skills**Preferred*** Kafka/Event-Driven Architecture* Apache Iceberg/Delta Lake* Python* AI/ML & LLM integration* Financial Services/Capital Markets**Education:*** Bachelor’s degree/University degree or equivalent experience* Master’s degree preferred**What we’ll provide ...

just a few years. 35 days leave (including bank holidays). Private medical insurance. Enhanced parental and adoption leave. 40 hours of paid learning and development. Join us on our journey. Let’s create tomorrow, together, today. At CreateFuture, the Senior Cloud Engineer is a vital individual contributor … Azure AZ-104). At least 1 professional-level certification. Progressing toward or holding multiple professional certifications such as CKA (Certified Kubernetes Administrator), AWS ML Engineer Associate, or FinOps Certified Practitioner. What we’ll offer you: We trust people to do their best work. That means flexibility over rigid rules ...

helping to build a future that works better for everyone. We move at pace, because what we're building matters - and we're learning as we go. We're proud of the progress we've made, but we're just getting started. Join our Technology team and push … bring experience in security architecture within IT, cloud, digital, or network environments You have hands-on exposure to AI/ML systems, data platforms, or AI-enabled product design (even if you're not a developer or data scientist) You understand AI-specific risks and can confidently translate them into ...

their security requirements. Experience designing and managing relational database schemas. Familiarity with Git source control and collaborative software development workflows. A strong aptitude for learning new technologies and working outside your existing areas of experience. Good independent problem-solving skills. Ability to use initiative and take ownership of assigned … platforms such as Microsoft Azure or AWS. Experience with containerisation technologies such as Docker. Automated testing and continuous integration or delivery. Data analytics or machine learning. Internet of Things systems and applications. Benefits: Competitive salary from 38k per annum based on your previous experience. Market-leading, company-funded training ...

their security requirements. Experience designing and managing relational database schemas. Familiarity with Git source control and collaborative software development workflows. A strong aptitude for learning new technologies and working outside your existing areas of experience. Good independent problem-solving skills. Ability to use initiative and take ownership of assigned … platforms such as Microsoft Azure or AWS. Experience with containerisation technologies such as Docker. Automated testing and continuous integration or delivery. Data analytics or machine learning. Internet of Things systems and applications. Benefits: Competitive salary from 38k per annum based on your previous experience. Market-leading, company-funded training ...

client pitch contribution, client hosting at events. Internal Contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & Development – Training to support your career development and the skills demand within the company, certifications etc. Your Profile Our ideal candidate will bring … other similar. Experience in working within the fields of Data Science and Analytics, with a proven track record of successfully delivered work across the ML lifecycle. Experience with Large Language Models architectures and techniques: AI-agents, GraphRAGs, fine-tuning, semantic grounding. A desire to provide solutions to the real-world ...

legacy ways of working where appropriate. Capability & Leadership Support Mentoring: Support and mentor engineers within CreateFuture and our client teams, helping them navigate their learning and technical skill gaps. Community Contribution: Actively engage in the internal engineering communities, helping to build out an internal repository of reference architectures, Infrastructure … Azure AZ-104). At least one professional-level certification. Progressing toward or holding multiple professional certifications such as CKA (Certified Kubernetes Administrator), AWS ML Engineer Associate, or FinOps Certified Practitioner. What we’ll offer you: We trust people to do their best work. That means flexibility over rigid rules ...

legacy ways of working where appropriate. Capability & Leadership Support Mentoring: Support and mentor engineers within CreateFuture and our client teams, helping them navigate their learning and technical skill gaps. Community Contribution: Actively engage in the internal engineering communities, helping to build out an internal repository of reference architectures, Infrastructure … Azure AZ-104). At least one professional-level certification. Progressing toward or holding multiple professional certifications such as CKA (Certified Kubernetes Administrator), AWS ML Engineer Associate, or FinOps Certified Practitioner. What we’ll offer you: We trust people to do their best work. That means flexibility over rigid rules ...

legacy ways of working where appropriate. Capability & Leadership Support Mentoring: Support and mentor engineers within CreateFuture and our client teams, helping them navigate their learning and technical skill gaps. Community Contribution: Actively engage in the internal engineering communities, helping to build out an internal repository of reference architectures, Infrastructure … Azure AZ-104). At least one professional-level certification. Progressing toward or holding multiple professional certifications such as CKA (Certified Kubernetes Administrator), AWS ML Engineer Associate, or FinOps Certified Practitioner. What we’ll offer you: We trust people to do their best work. That means flexibility over rigid rules ...

financial environments. Hybrid working, based in Scotland. What you'll do Set the AI and GenAI architecture strategy and roadmap. Build scalable AI/ML and Agentic AI platforms spanning LLMs, retrieval-augmented generation (RAG), embeddings and semantic search. Lead on deployment, governance and integration patterns, advise clients on platform … agent frameworks, vector databases, MLOps/LLMOps, AWS, Azure, GCP, Databricks, Kubernetes and GPU infrastructure. What we're looking for Proven enterprise AI or ML architecture design, strong cloud and modern data platform knowledge, and demonstrable experience of scalable AI deployment and integration. Financial services or another regulated industry ...

ensuring traceability, documentation accuracy, and compliance. Ensure solutions meet compliance standards (e.g. ISO 27001). AI & Data Awareness Ensure solution designs support AI/ML-enabled capabilities where relevant (e.g. data lineage, governance, feature management, and model integration patterns). Collaborate with wider technical teams to define integration approaches … Zachman). Background in software engineering, data architecture, or infrastructure engineering. Exposure to designing internal accelerators, frameworks, or reusable components. Awareness of AI/ML architecture patterns, generative AI integration considerations, or data lineage and monitoring concepts. Company Rapidly growing financial services organisation with offices in London Hybrid working Salary ...

systems including power, thermal, and IT infrastructure R&D & Innovation Lead development of next‐generation capabilities including: Digital twin integration and simulation AI/ML‐driven analytics and optimization Advanced automation and control strategies Collaborate with strategic partners and technology providers to accelerate innovation Translate emerging technologies into practical, scalable … manner Additional Preferred Experience Experience with platform‐based product development and standardisation across multiple business units Experience with digital twins, simulation, or AI/ML applications in industrial systems Experience working with cloud platforms and hybrid architectures Experience collaborating with external technology partners and ecosystems PHYSICAL & ENVIRONMENTAL DEMANDS No special ...

degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or a related technical field. 2+ years of experience in software engineering, AI/ML engineering, backend development, or adjacent domains, with strong software engineering fundamentals and the ability to build production-grade systems. Strong proficiency in Python, plus experience … LangChain, AutoGen, or Semantic Kernel. Experience with video, audio, TV, or edge-device environments, especially where latency, cost, and hardware constraints matter. Familiarity with ML/DL frameworks such as PyTorch or TensorFlow. Research experience, paper implementation experience, or a habit of applying emerging GenAI techniques pragmatically to real problems. ...

test, and maximise the value of models ranging from LLMs to propensity and classification. Contribute to the end-to-end development and deployment of ML and AI models to prove and deliver tangible commercial value. Act as a technical bridge between Data Science and MLOps to embed best practice deployment … maximum impact. We're looking for someone who is: An experienced practitioner: You have 5+ years of experience as a Data Scientist or ML Engineer, covering both classic ML and Generative AI. A proven builder: You've successfully created multiple Data Science products that have moved the needle. A deployment ...

Agentic & Gen AI, Data Science and Analytics in a client-facing environment, with a proven track record of successfully delivered work across the ML lifecycle and a strong foundation in statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies. Keen to demonstrate the potential that … combining domain knowledge and AI expertise to identify opportunities across industries and functions where AI can deliver value and by shaping AI/ML roadmaps, and ideation using use cases aligned with data science and business strategies. Accelerating impact with AI by enabling proof of value through prototypes ...

business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof … transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable ...