26 to 50 of 6,121 Machine Learning Jobs in the UK

development — prompt engineering, fine-tuning, RAG pipelines, context window management Agentic AI frameworks — LangChain, LangGraph, AutoGen, or similar; building multi-step autonomous workflows Machine Learning — model development, training, evaluation … deployment APIs & backend development — FastAPI, REST APIs, microservices architecture Vector databases & embeddings Cloud platforms — Azure GCP, or AWS; deploying and managing AI/ML workloads at scale Version control & MLOps — Git, CI/CD pipelines, model versioning, monitoring in production Data handling Required — Experience & Mindset Demonstrated end-to-end delivery ...

development — prompt engineering, fine-tuning, RAG pipelines, context window management Agentic AI frameworks — LangChain, LangGraph, AutoGen, or similar; building multi-step autonomous workflows Machine Learning — model development, training, evaluation … deployment APIs & backend development — FastAPI, REST APIs, microservices architecture Vector databases & embeddings Cloud platforms — Azure GCP, or AWS; deploying and managing AI/ML workloads at scale Version control & MLOps — Git, CI/CD pipelines, model versioning, monitoring in production Data handling Required — Experience & Mindset Demonstrated end-to-end delivery ...

Design, train, and deploy production-grade ML models. About the Role As a Senior Machine Learning Engineer, you will lead the design, development, and deployment of production-grade machine learning systems for global enterprise clients. You'll work at the intersection of research and engineering, translating … cutting‐edge papers into scalable, reliable solutions. This is a high‐impact role where you'll mentor junior engineers, shape our ML architecture, and collaborate directly with clients to solve their most complex challenges. Design and implement end-to-end ML pipelines from experimentation to production Lead model development across ...

QUALIFICATIONSBachelors, Master's or PhD level degree in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence7-8+ years of experience in software development, with significant full-stack web application development experience strongly preferred Experience working collaboratively with technical and non-technical … coaching, and exposure that will accelerate your growth in ways you won't find anywhere else. When you join us, you will have: Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear ...

data engineering environments Implement observability and monitoring using tools like Databricks Workflows and related frameworks Contribute to AI-driven initiatives by leveraging Databricks ML/MosaicML to integrate Generative AI and LLM-based solutions Requirements Bachelor’s or Master’s degree in Computer Science, Software Engineering or related field Extensive … technical audiences Nice to have Experience operationalizing LLM or Generative AI workflows in Databricks pipelines Familiarity with frameworks like LangChain, LlamaIndex or Databricks ML/MosaicML Knowledge of AI governance, security practices and enterprise integration controls Background in financial trading data or related domains Official Databricks certifications such as Certified ...

consulting companies and help leading organisations transform through data and AI. Accelerate Your Growth Work on cutting-edge projects with modern technologies including AI, Machine Learning, Cloud, and DevOps, while continuously developing your technical, consulting, and leadership skills. Be part of a diverse, international, and action-oriented team ...

Consolidation, Database Management (e.g., SQL, Oracle, IBM DB2, Teradata) and Database Design. Expertise in creating Database Schema and managing Data Dictionaries. Significant experience with Machine Learning algorithms and frameworks for building predictive models. Familiarity with Big Data technologies and Cloud platforms (e.g., AWS, Azure). Proficiency in Microsoft ...

specialists who develop novel AI solutions to mission focussed problems. In this role you will be responsible for the technical development of AI/ML projects, working alongside more senior members of the team, supporting projects from initial idea scoping right through to final project delivery both in customer … team, with some guidance and direction from seniors. Bring experience in developing and delivering data-centric solutions. Undertake research and applied AI/ML tasks on both customer and internal research projects. Work with autonomy on assigned tasks within project groups. Generate ideas for new research directions. Deliver AI/ ...

projects with afantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines andsystems that enable data analysis and machine learning. You will also collaborate with datascientists, analysts, and other stakeholders to ensure data quality and reliability. Key Responsibilities: Develop Data Engineering solutions ...

projects with afantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines andsystems that enable data analysis and machine learning. You will also collaborate with datascientists, analysts, and other stakeholders to ensure data quality and reliability. Requirements Key Responsibilities: Develop Data Engineering solutions ...

clients and help them to understand the risks and key drivers for their business using software such as Python, R, Azure, Databricks/other ML services, SQL, Tableau and Power BI. Development and delivery of new and innovative data science and machine learning tools and solutions to support … driven development, smart data structure and algorithm selection. Experience in using cloud environment (e.g. Azure, AWS). Experience using Azure Databricks, Azure MLflow, Azure ML services and/or other ML services. Experience using Excel, SQL, Power BI, Tableau. Experience using Docker and Kubernetes. Experience working in an Agile development ...

platforms, analytics and data-led transformation for clients. As part of the growing Data Science capability within the Data Practice, you will work on Machine Learning, Predictive Analytics and Applied AI use cases that help clients move beyond traditional reporting towards evidence-led, AI-enabled decision making. … will work alongside data engineers, data architects, platform specialists and consultants across Snowflake, Databricks and Microsoft Fabric to develop practical, production-ready machine learning solutions. We are looking for a Data Scientist with a solid background in Machine Learning, Statistics and Predictive Analytics to join ...

industry leaders and advance your career in a dynamic, inclusive environment. Join us to drive innovation and make a difference. As an Applied AI & ML Lead in the Market Operations team, you will drive the design and delivery of AI/ML solutions that enhance and transform Market Operations. … successful implementation and scaling of AI-driven tools. You will identify opportunities, set technical direction, and deliver measurable impact through innovative AI/ML applications. Your leadership will help foster a culture of collaboration and continuous learning. Job Responsibilities: Lead the development, implementation, and end-to-end delivery of advanced ...

industry leaders and advance your career in a dynamic, inclusive environment. Join us to drive innovation and make a difference. As an Applied AI & ML Lead in the Market Operations team, you will drive the design and delivery of AI/ML solutions that enhance and transform Market Operations. … successful implementation and scaling of AI-driven tools. You will identify opportunities, set technical direction, and deliver measurable impact through innovative AI/ML applications. Your leadership will help foster a culture of collaboration and continuous learning. Job Responsibilities: Lead the development, implementation, and end-to-end delivery of advanced ...

Senior AI/ML Consultant, AWS Professional Services Job ID: 10532061 | AWS EMEA SARL (UK Branch) As a Senior AI/ML Consultant in AWS Professional Services, you will lead the delivery of cutting-edge artificial intelligence and machine learning solutions for our enterprise customers. You'll drive … serve as a trusted advisor to customers throughout their AI transformation journey. Key job responsibilities Lead end-to-end delivery of complex AI/ML engagements, from strategic planning through to pre-production deployment and optimisation Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular ...

appropriate Ensure compliance with regulatory requirements and maintain high standards of data security and governance Requirements Proven experience designing, building and deploying AI/ML solutions from concept through to production Strong experience implementing MLOps strategies, frameworks and operational best practices Deep understanding of Generative AI and Agentic AI concepts … principles. Proficient in integrating AI services and APIs while ensuring compliance with regulatory standards in highly regulated industries. Highest-signal resume keywords AI/ML Solution Design and Deployment MLOps Strategies and Frameworks Generative AI and Agentic AI Expertise Software Engineering Skills in Python Agile Delivery Methodologies Hard Skills ...

Description As a Senior AI/ML Consultant in AWS Professional Services, you will lead the delivery of cutting‐edge artificial intelligence and machine learning solutions for our enterprise customers. You'll drive innovation in Artificial Intelligence and Machine Learning, shape technical strategy, and serve … trusted advisor to customers throughout their AI transformation journey. Key job responsibilities Lead end-to-end delivery of complex AI/ML engagements, from strategic planning through to pre-production deployment and optimisation Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative ...

software applications and systems Participate in code reviews and provide constructive feedback to peers. Stay up to date with emerging Cloud and AI/ML technologies and industry trends to drive innovation and continuous improvement Lead communities of practice across Software Engineering to promote awareness and adoption ...

high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. As an Applied AI/ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining … qualifications, capabilities, and skills Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Specialism or well-researched interest in NLP Broad knowledge of MLOps tooling ...

deployment and ongoing model performance, with strong object-oriented programming, machine learning and statistical skills, and experience taking models into production, designing ML pipelines and working with MLOps, CI/CD and Azure. Key Responsibilities Delivery of data science products Leading data science projects end-to-end, from … practice, covering pipeline orchestration, model versioning, automated deployment, monitoring and retraining. Cloud based machine learning delivery, ideally on Azure (Azure ML, Azure DevOps), with equivalent AWS or GCP experience considered. SQL and relational data modelling, with the ability to work efficiently against large datasets. Statistical foundations sufficient ...

seeking an experienced, technical, and hands‐on Autonomy Data Manager to grow and lead a talented team composed of Data Scientists, Data Engineers and ML Ops Engineers, working in the Autonomy team to deliver data driven Planning and Perception solutions. You will lead the team to drive the creation … provide technical guidance in the design, development, deployment, optimization, and evaluation of state‐of‐the‐art data algorithms, data efficiency and pipelines to enable ML model performance with a focus on iteration speed, scalability and overall cost efficiency. Drive a culture of rigorous statistical evaluation to measure, validate and implement ...

responsible to the Head of AI, IPB Tech for the end-to-end design, build, and production delivery of priority IPB AI/ML use cases, with particular focus on agentic AI applications, generative AI guardrails, and production ML supporting advisor and client journeys. Job responsibilitiesOwns end-to-end delivery … priority IPB AI/ML use cases, from problem framing and business case through to deployed, monitored production services with measurable advisor and client impactLeads the engineering build of agentic AI and LLM-powered products serving IPB advisors and clients across international marketsSets the engineering quality bar for the team ...

publications, research datasets, knowledge graphs, ontologies, taxonomies, citations, metadata, and content from every scientific discipline. Apply the right technique to each problem, from classical ML methods such as classification, regression, clustering, ranking, and feature engineering to modern approaches using deep learning, embeddings, LLMs, retrieval, and generative AI. Develop capabilities … performance measurement. Experience working with structured, semi-structured, or unstructured data, especially large-scale text or content datasets. Familiarity with common data science and ML tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib. The ability to translate complex and ambiguous requirements into practical, measurable, data-driven ...

senior and lead is where compensation accelerates, especially in London. Mid Data Scientist Senior Senior Data Scientist Lead Principal/Lead/ML Scientist London commands a 20-35% premium over the rest of the UK, driven by finance, consulting and the big-tech engineering hubs. Manchester, Edinburgh, Bristol, Cambridge … teams Scientific scepticism and intellectual honesty Continuous learning in a fast-moving field Technology & software firms Product analytics, recommendation systems, search, personalisation and ML platform teams — the highest-paying non-finance roles, often with equity. Risk modelling, fraud detection, algorithmic trading, credit scoring and quantitative research — a major, well ...

Learning solutions directly embedded into business processes. We support clients across a number of industries and offer deep expertise in AI/ML, Cloud, Platform Engineering, and Managed Solutions. What you will be doing As a Senior Consultant in SAIL, you will own and lead consultancy engagements … winning the work, through to delivery governance and team leadership. You will bring SME‐level depth in at least one of AI/ML Engineering, Platform Engineering, or Software Engineering, and apply it to create real, lasting value for our clients. Although we do not expect ...