301 to 325 of 3,222 Machine Learning Jobs in the UK

manages the dispute lifecycle and integrates with card schemes, alongside the front-end experiences merchants use to track and respond to disputes and the machine learning models that predict outcomes and recommend the best action on every case. We're building for scale, and that scale brings ambiguity … record of driving growth within large, complex, regulated organisations. Key Responsibilities Lead a team centred on a .NET back end, with front-end and machine learning components, helping engineers establish and validate their understanding of technical architecture and design end-user-centric systems and tools. Own predictable, high ...

cost efficiency Establish engineering best practices through hands‐on contribution, code reviews, technical design reviews, automated testing, observability, monitoring, and operational excellence Champion machine learning operations practices including model lifecycle management, prompt versioning, automated evaluation, deployment pipelines, monitoring, and continuous improvement Partner with product managers, data scientists, machine learning engineers, engineering leaders, and business stakeholders to translate strategic priorities into robust, buildable technical solutions Build reusable frameworks, libraries, developer tooling, and platform components that accelerate AI development across multiple teams without creating unnecessary abstraction or complexity Evaluate emerging AI technologies through practical prototypes, proof‐of‐concept ...

analytics products, with a focus on Oracle Analytics Cloud (OAC)/Oracle Fusion Data Intelligence. Own the product roadmap for analytics, AI and Machine Learning aligning with the Head of Product and peers in Finance, HR, Logistics, Operations and Commercial teams. Manage and mentor a small team … accessible to non-technical audiences. Ability to coach and develop junior team members. Strategic thinking and a continuous improvement mindset. Experience of delivering Oracle Machine Learning, AI and business analytics solutions. 5. Qualifications Degree in Computer Science, Data Science, Information Systems, or equivalent experience. Familiarity of tools such ...

diagrams to explain a data processing system on a cloud environment. Some knowledge of how you would present diagrams (C4, UML, etc.) Enthusiasm for learning and self-development. You have experience of working on agile delivery-lead projects and can apply agile practices such as Scrum, XP, Kanban. … engineers using a variety of techniques such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Working with data scientists ...

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 ...

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 ...

challenges by combining deep engineering knowledge with thoughtful, research-backed innovation. Our teams work in digital engineering, data and analytics, cloud, and AI/ML, building practical, scalable solutions grounded in real business needs and human impact. We support clients across high tech, financial services, healthcare, life sciences, retail, energy … Approachable leaders who communicate openly, keep teams close to the strategy, and support long-term planning. Advanced Tech Communities Stay close to AI/ML, Cloud, Quantum Computing, IoT, and Robotics communities, with projects built on modern frameworks. SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless ...

adoption of AI architecture standards, best practices, and governance frameworks.* Support hiring, onboarding, and retention of top AI and cloud architecture talent.* Promote continuous learning in emerging AI technologies, large language models (LLMs), generative AI, agentic AI, machine learning, and automation.AI Architecture Strategy* Define and execute … cloud technologies, or customer experience platforms.* 5+ years of leadership experience managing architects, engineers, or technical consulting teams.* Strong understanding of AI and machine learning concepts, including: Generative AI Large Language Models (LLMs) Conversational AI Agentic AI Systems Retrieval-Augmented Generation (RAG) Prompt Engineering AI Governance and Responsible ...

build scalable, secure AI systems. What You'll Be Doing Design, develop, and deploy machine learning models for traditional ML use cases, including forecasting, classification, and anomaly detection. Build and deliver Generative AI and LLM-powered applications using modern AI frameworks. Lead experimentation cycles, defining hypotheses, running evaluations … iterating on models before production deployment. Develop robust ML pipelines using AWS services and MLOps tooling. Implement experiment tracking, model versioning, monitoring, and reproducibility best practices. Build feature engineering pipelines and contribute to feature store development. Monitor production models, optimise performance, and drive continuous improvements. Apply Responsible AI principles, including ...

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 ...

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 ...

influencing strategy, optimising processes, and helping position a brand that’s setting the new standard for trust and transparency. For people who love learning, innovating, and making an impact that matters now is the moment to be a part of Xapien. The role We are looking for an experienced … security, compliance, and data protection are followed across all infrastructure components. · Mentoring and providing guidance to junior engineers, promoting a culture of continuous learning and improvement. Your skills & experience Must‐haves to be successful in this role · Strong experience in Go or C# programming languages (ideally both). · Extensive ...

with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation.With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM’s product and technology landscape. Here, you’ll have the tools and opportunities to advance … database basics:Understands REST APIs, HTTP fundamentals, SQL, and basic system design concepts such as client-server architecture and caching. Ownership and learning mindset:Takes initiative, seeks feedback, learns quickly, and can deliver assigned tasks with minimal supervision. Strong communication and collaboration:Communicates progress, asks thoughtful questions when blocked ...

diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM’s product and technology landscape. Here, you’ll have the tools and opportunities to advance … with Golang is advantageous. Experience using Apache Kafka is a big plus. About Business Unit IBM Software infuses core business operations with intelligence—from machine learning to generative AI—to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action ...

journeys. Working with both structured and unstructured data, you will uncover insights and identify opportunities to enhance customer and operational outcomes. You will combine machine learning, NLP, and Generative AI techniques to extract value from text, develop predictive and analytical models, and take ownership of deploying data science ...

technical platform capabilities across the product lifecycle. Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience. Machine Learning: Expertise in time‐series forecasting, clustering, and correlation algorithms. Generative AI: Experience with LLM prompting, Retrieval‐Augmented Generation (RAG), and LangChain. Cloud … Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive ...

methods alongside experience working with foundation models and prompt engineering Practical experience with GCP services or AWS equivalent such as Vertex AI, BigQuery ML, Dataflow, AI Platform Pipelines, and Dataproc Practical experience with CI/CD for AI/ML, model versioning, monitoring, and AI Ops practices An understanding ...

teams - Evaluate new technologies and tools - Support and mentor colleagues within a collaborative environment About You: - 5+ years' experience in data, analytics, AI or machine learning - Strong technical skills (Python, SQL, data pipelines) - Experience with AI technologies (e.g. LLMs, vector databases, Azure/OpenAI tools) - Proven ability ...

Glassdoor rating and are named among the "Top 50 Most Promising Healthcare Solution Providers" by CIOReview. As an organisation, we foster creativity, continuous learning and inclusivity, creating an environment where bold ideas thrive and make a measurable difference in people’s lives. Your Mission We are hiring Forward Deployed … contributions. A founder's mindset and genuine appetite for ambiguous, high-impact technical challenges. Bachelor's or Master's in Computer Science, Machine Learning, or a related technical discipline. Bonus Skills/Experience Public writing, talks, or threads about building with AI. MLOps and model serving experience (BentoML ...

Excellence Write comprehensive unit tests, integration tests, and end‐to‐end tests to ensure code reliability Participate in code reviews, providing constructive feedback and learning from senior engineers’ perspectives Refactor existing code to improve maintainability, performance, and scalability Document design decisions, API specifications, and operational runbooks for platform services … Programming: Experience with low-level systems programming such as storage systems, Kubernetes operators, OS-level software development, or daemon services (llm‐d, system agents) ML Platform Engineering: Experience productionizing ML pipelines, batch job orchestration, model fine‐tuning workflows, and Jupyter notebook orchestration systems Enterprise Deployment: Experience platformizing and packaging software ...

concurrent, distributed applications at scale* Experience working with DevOps or SRE teams to support production environments* Strong communication and collaboration skills* A passion for learning, continuous improvement and delivering high-quality software**And it would be great if you had any of the following...*** Experience with PHP* Experience with … based systems* Knowledge of AWS, Docker and CI/CD practices* Experience with PostgreSQL, MongoDB or BigQuery* Exposure to data platforms, ETL processes or machine learning-enabled products* Experience mentoring, coaching or supporting the development of other engineers* Previous experience within fintech, payments or a fast-paced startup ...

systems. Provides operational support and leadership for production systems in a "you‐build‐it‐you‐run‐it" culture, including incident response, post‐incident learning, and continuous reliability improvements. Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes‐oriented probing of architectural designs, technical credentials … including setting standards and driving adoption across teams. Demonstrated proficiency in software applications and processes within a technical domain, such as cloud, artificial intelligence, machine learning, mobile, etc. Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web Services ...

Azure, AWS, BigQuery or similar technologies. Experience with modern orchestration and transformation tools. Experience working within regulated or highly governed environments. Experience supporting analytics, machine learning or operational data products. Knowledge of data governance, access management and security best practices. Why Veygo? At Veygo, we're here … success. 33 days' holiday (including bank holidays), increasing with service, plus the option to buy or sell up to five additional days. Ongoing learning and development, leadership programmes and opportunities to grow your career across Admiral Group. Flexible hybrid working, with most colleagues spending one or two days ...

meaningful impact are encouraged to apply. Areas We Value Experience In Software Engineering Data Engineering Cloud & Platform Engineering Site Reliability Engineering (SRE) AI & Machine Learning DevOps & Automation Architecture & Distributed Systems Analytics & Data Platforms Benefits LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid ...

harnesses the power of LLMs and generative AI, and combines it with Universal Language – our proprietary symbolic technology that bridges the gap between probabilistic machine learning and deterministic classical computing. Our products are already in use with major enterprises – including tier-1 banks and leading accountancy firms – across … work on genuinely novel problems at the intersection of classical symbolic AI and modern LLMs – for example, how to represent regulatory knowledge as machine‐evaluable rules, or how to build feedback loops that improve system accuracy over time. You’ll work within a shared monorepo alongside software engineers, research ...