801 to 825 of 4,100 Machine Learning Jobs in England

with Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferredStrong hands-on experience with Python, ML frameworks, and LLM/GenAI tooling.Strong hands-on experience with AI Development tools like Claude CLI, WindsurfSolid understanding of the ML lifecycle; exposure to model ...

level. You’ll be a Lead Machine Learning Engineer. The role will combine technical leadership, delivery leadership and line management responsibility for ML engineers within Aioi R&D Lab. It will help shape ML engineering best practice, support solution design, mentor junior engineers, and lead multidisciplinary teams across … future, and share in our success, we’d love to hear from you. BE THE NEXT BIG THING, NOW. Responsibilities Line manage and develop ML engineers, providing coaching, mentoring, feedback and performance support; contributing to hiring, onboarding and capability development within the ML engineering function. Maintain a meaningful individual contribution ...

credential handling for external and internal integrations. Build end-to-end data flows from source through governed ingestion and curated layers to BI, ML or application consumption. Required Hands-on Technical Skills Deep hands-on Azure Databricks implementation and troubleshooting Databricks Serverless and compute/workload optimisation Azure identity, networking … RStudio migration or consolidation experience. Migration of analytical/data science workloads (convert and migrate R development/Libraries to Databricks). AI/ML, LLM integration, model lifecycle, RAG/vector retrieval or model-serving experience. Large-scale enterprise platform transformation and regulated-industry experience. Strong cost optimisation ...

GenAI capabilities into Finance processes, EPM platforms or reporting stacks.Strong AI fluency familiarity with modern AI/GenAI tooling (copilots, LLMs, agentic AI, ML-based forecasting), data science fundamentals and applied use cases in Finance.Track record of driving AI adoption at scale within a Finance function.Direct experience redesigning ERP-linked … Finance Transformation, EPM or Enterprise Performance practice pedigree preferred.Strong balance of technical depth (data models, integration architecture, systems design, EPM configuration, AI/ML solution design) and delivery leadership (programme management, governance, stakeholder influence, change management).Proven experience leading external consulting and implementation partners on major transformation programmes.Deep understanding ...

ready systems. Proficient with AI-powered developer tools; able to critically evaluate and refine AI-generated outputs. Strong understanding of core AI/ML concepts (LLMs, embeddings, vector databases, inference, evaluation). Experience integrating AI/ML APIs and building AI-ready data infrastructure (e.g., for RAG). Ensure data ...

financial services buyersDesign and lead proof of concept engagements covering risk analytics, regulatory data platforms, real-time fraud detection, customer intelligence, and AI/ML workloads in FSI environmentsAct as a subject matter expert on financial services data architecture, translating complex regulatory and technical requirements into practical, production-ready Snowflake … customersDeep understanding of financial services data use cases including risk management, regulatory reporting (Basel, MiFID II, GDPR), market data, fraud analytics, and AI/ML for credit and customer intelligenceStrong hands-on expertise with cloud data platforms, ideally including Snowflake, and the ability to architect and demo enterprise-grade solutions ...

implementing complex analytical logic that translate nuanced geopolitical and financial risk into structured, interpretable outputs Building and maintaining scalable data pipelines and graph-based ML systems that power risk scoring and entity analysis Partnering closely with Research, Product, and Engineering teams to understand evolving risk frameworks and translate them into … methods to complex, real-world problems Proficiency in Python, SQL, and working with graph databases or knowledge graph structures Experience with graph analysis, graph ML, or network analysis — professional experience is a strong differentiator Comfort working across research and data engineering contexts — this role spans all three Experience with Docker ...

Data and work closely with our Principal Data Engineer. You will partner closely with the Manager of GenAI Platform, Data Infra & ML Platform, Product Engineering leadership and Product Managers across Pleo.What you’ll be doingAs a Senior Engineering Manager, you will:Build, lead, and develop multidisciplinary teams as a hands … builder of systems, standards, and team capability. In the Data & AI Products team you will find Applied AI Engineers, Data Scientists and ML Scientists while the Data Serving team is constituted of Backend Engineers, Data Platform Engineers and Data Engineers. We are looking for someone with a solid understanding ...

such as Cosmos DB. Knowledge of REST, SOAP, and messaging technologies. Experience building and supporting scalable data integration solutions. Desirable Exposure to AI/ML integrations. Experience with DevOps, CI/CD, and Infrastructure as Code. Background in a regulated industry is advantageous. Join a collaborative team working with modern ...

looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science team. You will trailblaze the development of data science algorithms, while building, leading, nurturing and retaining … Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib) Strong software development skills (Python is the preferred language) Proven experience in deploying ML/AI services suing Kubernetes & KubeFlow Strong management and leadership skills – previous experience managing a team Strong influencing, communication and stakeholder management skills Be Customer ...

Science, Engineering, Artificial Intelligence, or a related field.Minimum of 3 years of professional experience in software development, with a significant focus on AI/ML applications.Proven proficiency in Python and experience with relevant AI/ML libraries and frameworks.Hands-on experience in developing applications utilizing Large Language Models (LLMs) such ...

learn and work across the wider platform. Desirable Databricks/PySpark NoSQL/Cosmos DB Infrastructure as Code/DevOps automation AI/ML data integration Automotive or insurance industry experience If this sounds of interest please apply with an up to date version of your CV for immediate consideration. ...

Server SSAS Tabular (DAX), Dimensional Modelling, Data Warehousing. Ecosystem & Management: Azure DevOps, SQL MI/DB, Active Batch, APIs, Event Hub, Kafka, AI/ML concepts. Randstad Technologies is acting as an Employment Business in relation to this vacancy. ...

metrics, and release assurance Ensure compliance with accessibility, security, and performance standards Key Skills & Experience Essential Strong experience delivering quality assurance for AI/ML solutions across the full lifecycle Hands-on expertise with Microsoft-based environments (e.g. Azure testing tools, AI platforms) Proficiency in one or more: Python, Java ...

Specialism Software Engineering, Platform Engineering, AI/ML Job type Contract Location London Rate £500 - £600 per day We are looking for a Senior Backend Engineer to join an early stage team that is actively reimagining software for an industry tech forgot. For decades, blue collar businesses have powered ...

metrics, and release assurance Ensure compliance with accessibility, security, and performance standards Key Skills & Experience Essential Strong experience delivering quality assurance for AI/ML solutions across the full lifecycle Hands-on expertise with Microsoft-based environments (e.g. Azure testing tools, AI platforms) Proficiency in one or more: Python, Java ...

that transform data from operational systems into trusted, analytics-ready assets. Your work will enable high-quality reporting, insight generation, and future AI/ML initiatives across the business.What You’ll Do• Build & Maintain Pipelines: Develop ELT/ETL pipelines using dbt, Python, and orchestration tools. • Work with Snowflake: Design ...

will be considered Financial services/asset management exposure is a plus, not a prerequisite — as is any experience with AI-assisted analytics or ML use cases A proactive, curious mindset with strong communication skills and attention to detail Degree in a quantitative field (Data Science, Computer Science, Business Analytics ...

professional software engineering experience delivering production systems. 2+ years of hands‐on experience building AI‐centric systems (LLM‐based, RAG, agentic AI, or ML‐driven applications). Demonstrated experience delivering and operating LLM‐based solutions in production (LLMOps). Ability to contribute meaningfully across multiple layers of an application stack. ...

route customer problems at scale to support a rapidly expanding company with global ambitions across multiple geographies. You’ll be one of 4 ML engineers in Operations, embedded in product squads working alongside data scientists, backend, mobile and web engineers, product managers, user researchers, designers and operations specialists. What … impact, preferably in a fast moving tech company. You have experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures to production and delivering business impact. You're impact driven and excited to own the end to end journey that starts with a business ...

Warehouse context. Mandatory Certifications/Clearance Active SC Clearance . AWS Certified Cloud Practitioner (or higher). Azure AI Fundamentals (or practical awareness of ML/AI services). Desirable Experience Big Data and Cloud Processing: Hands-on experience with AWS (EMR, S3, Lambda, Redshift, Athena, CloudWatch) and PySpark/ ...

regulatory controls. You will design, develop, and maintain secure, reliable, and scalable data solutions that support buisness controls, analytics, reporting, and AI/ML use cases across the firm. You will collaborate with domain teams, platform engineering, and operations partners to deliver high-quality curated datasets aligned to our data ...

Oracle) and data modelling (canonical data models, JSON). Deep experience with enterprise messaging platforms (Kafka, IBM MQ). Proven experience implementing AI/ML solutions (using Python or other frameworks) to solve business problems. Full‐stack development experience (RESTful APIs, front‐end frameworks such as Angular). Experience with ...

APIs, and event‐driven architectures. DevOps and MLOps experience including CI/CD, IaC, automated testing, observability, and deployment automation. Familiarity with data engineering, ML models, Responsible AI, and enterprise governance. Ability to communicate complex AI concepts to both technical and executive audiences. Cloud, AI engineering, or architecture certifications ...

Typescript. 3 years of experience with front-end frameworks, full-stack development, or API development. 1 year of experience with software design, architecture, and machine learning. 1 year of experience with agentic coding. Preferred Qualifications Master’s degree or PhD in Engineering, Computer Science, or a related technical field. ...