176 to 200 of 3,213 Machine Learning Jobs in the UK

orchestrate workflows using BPM tools, decision engines, and custom microservices Pilot and scale emerging technologies such as Generative AI where appropriate. Implementing AI/ML models for exception management, document classification, anomaly detection, and operational intelligence Identify areas for tech‐driven innovation and rapidly prototype solutions with internal or vendor … Java or C++ Strong experience managing vendor solutions and integrations Strong hands‐on experience with enterprise automation tools (RPA, BPM, workflow engines) and machine learning frameworks in production environments Deep understanding of Operational processing workflows and challenges in areas like trade matching, exceptions management, regulatory compliance etc Experience ...

across some of the UK's most complex and high-impact programmes. We're looking for DV Cleared professionals with experience in Artificial Intelligence, Machine Learning, Data Engineering, Software Engineering, or Palantir Technologies to join a growing team based in Central London . Whether you're a recent … love to hear from you. We're Looking For You may have experience in one or more of the following: Artificial Intelligence (AI) & Machine Learning Generative AI & Large Language Models (LLMs) Palantir Foundry, Gotham or AIP Data Engineering & Data Analytics Software Engineering Python, Java or similar programming languages ...

visualization best practic es.Programming & Data Science: Hands-on with Python or R for analytics, modeling, and automati on.AI & Predictive Analytics: Knowledge of AI/ML frameworks for building predictive and prescriptive insigh ts.ETL & Data Engineering: Experience designing scalable ETL/ELT pipelines using modern tools and framewor ks.Cloud Platforms: Familiarity … from SaaS applications, APIs, and public data sourc es.Proven record of delivering data-driven insights, advanced analytics, and predictive mode ls.Experience implementing AI or machine learning solutions for business intelligence is an advanta ge.Bachelor’s or master’s degree in data science, Computer Science, Statistics, or a related ...

using a reputed company of programming languages, including Java, reputed company, and Python Collaborate with our data science team to build and reputed company machine learning models that reputed company business insights and decision-making Work with our engineering teams to design and implement data pipelines that handle … Qualifications: Experience with reputed company platforms, including AWS or Azure Familiarity with containerization and orchestration tools, such as reputed company and Kubernetes Knowledge of machine learning frameworks and libraries, including TensorFlow or PyTorch Experience with data visualization tools and libraries, including Tableau or D3.js Strong understanding of DevOps ...

engagements across the aviation sector Lead technical discovery sessions with airline customers to assess AI maturity, operational challenges and transformation opportunities Design AI and machine learning solutions across areas such as automation, predictive analytics, NLP and generative AI Build proof of concepts, prototypes and scalable AI solution architectures … tooling and emerging technologies Contribute to thought leadership initiatives and help position the business as an AI‐first consultancy Requirements Strong experience delivering AI, machine learning or advanced analytics projects within consultancy or enterprise environments Deep hands‐on AI expertise across machine learning, generative ...

impact of products, features and commercial initiatives through world-class experimentation, causal inference and applied data science. Working at the intersection of data science, machine learning, product and commercial strategy, you will develop innovative measurement methodologies, define best practices, and provide technical leadership that enables teams across PlayStation …/B testing. You will solve complex measurement problems where controlled experiments are difficult or impossible, applying modern causal inference, statistical modelling and machine learning techniques to generate robust business insights. You will collaborate closely with product, engineering, analytics and business teams to raise the standard of experimentation ...

similar technologies Optimize data pipeline performance, ensuring data accuracy, reliability, and timely delivery Mentor and guide junior data engineers, fostering a culture of continuous learning and improvement Stay up-to-date with the latest trends and best practices in data engineering and AI, and apply them to our projects … technologies and tools to enhance our data engineering capabilities Contribute to the development of AI-powered features and products, leveraging your knowledge of machine learning and data science concepts Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field 7+ years ...

Mentorship & Delivery** Grow the team: Act as a technical mentor to a team of intermediate and junior AI Engineers, fostering a culture of continuous learning, clean code, and agility. Pragmatic Delivery: Collaborate with the AI Product Owner and Business Analysts to translate abstract business use cases into structured, achievable … Orchestration & Development:** Expert-level experience building complex LLM-powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. **Artificial Intelligence & Machine Learning:** Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models ...

designing the backend infrastructure behind an enterprise AI platform used by investment firms, private equity, consulting businesses, and other financial organisations. Working alongside machine learning engineers, infrastructure specialists, and product teams, you'll help build systems capable of processing massive volumes of financial data while maintaining exceptional performance … powered enterprise applications. Architect and optimise data pipelines processing large financial datasets. Design efficient PostgreSQL database schemas and optimise complex queries. Collaborate closely with Machine Learning Engineers to deploy AI models into production. Build secure, highly available distributed systems with enterprise-grade reliability. Improve application performance, scalability ...

fulfil your potential with meaningful careers.**ROLE SUMMARY:**We are seeking an experienced Data Scientist to help develop and deploy enterprise-scale AI and machine learning solutions that improve operational efficiency, service resilience and customer outcomes.You will work closely with software engineers, SREs, product managers, platform teams … with commercial awareness and the ability to translate complex data into actionable insights and measurable business value.## **WHAT YOU'LL BE DOING:**### AI & Machine Learning Solutions* Design, build and deploy machine learning models to solve operational and business challenges.* Develop predictive analytics capabilities focused ...

Department. This is a fixed-term, grant-funded position (supported by Charities Together) where you will be responsible for leading advanced risk modelling and machine learning projects aimed at enhancing services, efficiency, and outcomes for our patients and their families.Working primarily in Databricks using SQL and Python … impact on patient care and Trust operations. We offer a range of benefits including NHS Pension, generous annual leave, flexible working, and access to learning and development opportunities. Our values are at the centre of everything we do. Sponsorship -- We are an approved sponsoring organisation. Applications are considered from ...

applications by building scalable platforms that bring cutting‐edge AI capabilities into real‐world production environments. Working at the intersection of software engineering and machine learning, you will design and develop systems that power AI agents, large language model applications, and advanced automation solutions used by teams across … optimization Create robust data and inference pipelines that support both real‐time and batch AI workloads at enterprise scale Partner with data scientists and machine learning engineers to integrate emerging AI capabilities into production products and services Build systems that enable AI agents to reason, automate tasks, interact ...

high bar of technical excellence, takes ownership of both data systems and data quality outcomes, and uses modern technologies including AI and machine learning to enhance data workflows and extract additional value from our datasets. We'll trust you to: Build and maintain highly scalable, resilient and observable … needs into engineering‐ready requirements and scalable technical solutions. Partner with Engineering on platform evolution, architecture, tooling, system design, and reliability. Apply automation, AI, machine learning, or statistical techniques to improve ingestion, enrichment, validation, and monitoring. Own data migrations, workflow redesigns, and technical transformation initiatives. Establish standard methodologies ...

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-18808-Ljbffr ...

high bar of technical excellence, takes ownership of both data systems and data quality outcomes, and uses modern technologies including AI and machine learning to enhance data workflows and extract additional value from our datasets. We’ll Trust You to: Build and maintain highly scalable, resilient and observable … needs into engineering‐ready requirements and scalable technical solutions. Partner with Engineering on platform evolution, architecture, tooling, system design, and reliability. Apply automation, AI, machine learning, or statistical techniques to improve ingestion, enrichment, validation, and monitoring. Own data migrations, workflow redesigns, and technical transformation initiatives. Establish standard methodologies ...

processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation. You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline … customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical ...

Depending on the project, you'll also contribute to modern data and AI solutions including: Python automation SQL development Data engineering AI-enabled applications Machine Learning platforms Large Language Model integrations Intelligent workflow automation Consulting & Client Engagement This is what makes the role unique. As an Associate Consultant … Consultants receive structured mentoring and support to develop both their technical and consulting capabilities. Typical development opportunities include: AWS Certifications Microsoft Azure Certifications AI & Machine Learning training Client workshops Presentation coaching Solution architecture exposure Technical leadership mentoring ...

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 ...

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 ...

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 ...

Ideal Qualifications (but not required) You have experience in building AI applications within financial services. You have experience in applying and optimizing statistical and machine learning models to solve business problems. You have experience with at least one of the major cloud platforms (AWS, Azure, GCP). What … automated decision‐making in financial services — setting the standard for how AI is applied responsibly and effectively in this industry. We were founded by machine learning and data science experts with deep experience in financial services. Today, our team works across Berlin, London, and New York, bringing together ...

will play a leading technical role in the design, development and deployment of AI solutions across the organisation. You will combine software engineering, machine learning and AI platform expertise to turn innovative concepts into production-ready products that deliver measurable business value. This is a hands‐on engineering … across Engineering, Operations and Product organisations. WHAT YOU'LL BRING Essential Experience Extensive software engineering experience delivering production-scale solutions. Experience building AI or machine learning systems in enterprise environments. Demonstrated experience moving AI solutions from proof‐of‐concept into production. Strong understanding of software architecture, engineering standards ...

high‐ownership role working centrally across the business. You'll partner with teams spanning Commercial, Marketing, Product, Finance, Engineering and Operations — developing and deploying ML and AI solutions that drive outcomes across both sides of our marketplace. The problems you'll work on are genuinely varied: pricing models, propensity … deliver them end‐to‐end, from first principles through to being deployment‐ready and beyond. WHAT YOU'LL BE DOING End-to-End ML & AI Delivery: Lead data science initiatives from problem framing through to deployment, monitoring, and iteration — delivering the full production lifecycle. With no dedicated ML engineering function ...

container-based deployments. Experience with observability and production support tools. Experience with message queues such as RabbitMQ, Kafka, or Redis. Experience integrating AI or machine learning capabilities into production applications. Knowledge of authentication, role-based access control, API security, secrets management, and data protection practices. Experience working … activities, from design to production support. Collaboration with international engineering and product teams. Opportunity to work with modern cloud technologies and scalable architectures. Continuous learning environment focused on innovation and technical growth. Contractor FTE engagement model. Opportunity to contribute to impactful software solutions using emerging technologies. #J-18808-Ljbffr ...

About Signal Ocean Signal Ocean is the technology arm of the Signal Group, providing market-leading advanced machine learning and AI-driven intelligence to shipping and commodities professionals worldwide. Our platform delivers tailored, exclusive insights through web, mobile, and API interfaces, enabling clients to make faster, better-informed … while diving deep into our products and/or the shipping world. Career growth opportunities and a structured development discussion every 4 months. Personal learning budget for training, seminars, conferences (750 to 2000 EUR annually depending on seniority). Regular team bonding events and activities. Fitness benefits to support ...