1,126 to 1,150 of 4,966 Machine Learning Jobs in England

/or R, including the ability to read, understand, and adapt code written by others, gained through research, academic, or applied settings Experience applying machine learning, natural language processing, or other computational methods to health, biomedical, or research problems Clear scientific writing and communication skills, e.g. through research ...

storage formats Experience with streaming architectures using Kafka, Event Hubs, or Kinesis for real-time data processing Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores and MLOps pipelines Experience processing and managing unstructured data types (text, images, logs, sensor data) Understanding of Lambda … Practice event Bi-annual whole company teambuilding events bringing everyone together for a day of fun and connection Development access to Pluralsight and LinkedIn Learning Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation Private Medical Insurance which is non-contributory ...

storage formats Experience with streaming architectures using Kafka, Event Hubs, or Kinesis for real-time data processing Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores and MLOps pipelines Experience processing and managing unstructured data types (text, images, logs, sensor data) Understanding of Lambda … Practice event Bi-annual whole company teambuilding events bringing everyone together for a day of fun and connection Development access to Pluralsight and LinkedIn Learning Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation Private Medical Insurance which is non-contributory ...

relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting About the role We're hiring two Senior Quality Engineers to join our Mobile ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the front of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

Whether in research or deployment focussed teams, we operate as one cohesive unit, sharing tech stack, knowledge, and objectives. Our focus spans from fundamental ML research to commercial-grade software development, offering diverse learning and impact opportunities. Your main responsibilities Build state-of-the art systems which combine edge … great fit looks like You have 2 or more years of experience as a machine learning engineer. You are familiar with ML techniques, and have both theoretical ML knowledge and experience implementing different types of solutions. You are proficient in Python and have a good understanding ...

ClearScore, the UK's leading credit score and report app, seeks a Senior Full Stack Data Scientist to own data science and ML across the Global Targeting initiative. You will collaborate with product and analytics teams to influence user experiences and business decisions, driving real-time insights and production-ready … solutions. The role emphasises a strong python/sql foundation, production ML, Databricks, and a postgraduate STEM degree, with a hybrid working setup and rich development #J-18808-Ljbffr ...

pipelines that support clinical-trial and real-world evidence programmes. This role sits within the Machine Learning function and works closely with ML Engineers, Data Scientists, Clinical Scientists and Imaging Specialists to ensure that research ideas are translated into reproducible model development workflows and clinically useful outputs. What … workflows. Work with clinical and scientific stakeholders to ensure model objectives are clinically meaningful. Train large models across GPUs and compute nodes, working with ML Engineers to improve performance and scalability. Work proactively, communicate progress clearly and identify risks early. Strong experience in machine learning research, with experience ...

pipelines that support clinical-trial and real-world evidence programmes. This role sits within the Machine Learning function and works closely with ML Engineers, Data Scientists, Clinical Scientists and Imaging Specialists to ensure that research ideas are translated into reproducible model development workflows and clinically useful outputs. What … workflows. Work with clinical and scientific stakeholders to ensure model objectives are clinically meaningful. Train large models across GPUs and compute nodes, working with ML Engineers to improve performance and scalability. Work proactively, communicate progress clearly and identify risks early. Strong experience in machine learning research, with experience ...

Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry‐leading, machine‐learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with … cutting‐edge, machine‐learning software A good remuneration and benefits package Applications If you would like to apply for this unique ML Engineer opportunity, we would love to hear from you. Please send an up‐to‐date CV via the relevant link. We’re committed to creating ...

master and owner of these integrations. Optimize AI Pipelines: Ensure our AI pipeline works like clockwork. Improve and support its complex infrastructure. ML Experience: Practical experience with ML, including classification, clustering, time series forecasting, and anomaly detection. You need to know the concept and be handy with the most common … services or APIs. Experience with third-party APIs is essential. Data Pipelining: Experience with SQL, ETL, data modeling. Experienced with the lifecycle of building ML solutions Speak AI language: Understand the fundamentals of ML/AI and communicate effectively with AI and Data Scientists. Infra: Deep Knowledge of Docker ...

Engineer to lead data engineering activities for our Data Platforms and Services in London. You will ingest, cleanse and model data for BI reporting, ML and AI, ensuring quality and governance. The role emphasizes strong Azure skills (ADF, ADLS, Databricks), PySpark, Python and SQL, with a DevOps and CI/ ...

frameworks and policies to ensure compliance with evolving regulatory standards and internal guidelines Lead the identification and mitigation of risks associated with AI/ML models, ensuring robust model risk management throughout their lifecycle Oversee the validation and monitoring of AI/ML models to ensure accuracy, fairness, and compliance … governance frameworks and policies Demonstrate advanced proficiency in model risk management, including the ability to identify, assess, and mitigate risks throughout the AI/ML model lifecycle Exhibit expert-level skills in ensuring AI/ML model compliance with regulatory standards, utilizing techniques for explainability and bias mitigation Showcase advanced ...

while navigating regulatory and compliance realities. Required qualifications, capabilities and skills Extensive product management experience or equivalent expertise, including extensive experience delivering AI/ML‐powered products, AI platforms, or developer tools in financial services or technology companies, and expert at navigating matrix and complex organisations, collaborating effectively across teams … Proven track record of owning AI product vision and roadmap end‐to‐end, and leading cross‐functional teams that deliver enterprise‐scale AI/ML solutions with measurable outcomes, including AI assistants, intelligent automation, AI‐native workflows, or developer productivity tools. Strong understanding of AI/ML model lifecycle management ...

market operates. This is not a research role — we need someone who ships. What You Will Do Lead the design and delivery of complex ML and GenAI systems — robust, scalable, and built for production. Guide the team across the full AI lifecycle, from experimentation and evaluation through deployment and monitoring … cash flow waterfalls, ABS/CLO structures, and priority of payments. Strong software engineering skills (Python preferred) combined with deep knowledge of AI/ML frameworks, GenAI tooling, and modern data infrastructure. Hands‐on experience building and deploying ML/GenAI systems in production within finance, legal, or other high ...

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

architecture; 7+ years in Azure cloud; 5+ years in AI/ML. Hands‐on with Azure OpenAI, Azure AI Foundry, Document Intelligence, Data Factory, ML Service, Databricks, Key Vault, Blob Storage, Synapse Analytics, DevOps. Strong LLM, embeddings, RAG, prompt engineering knowledge. Expertise in secure API/event‐driven design, microservices … DDD. Experience with vector databases, semantic search, Azure ML pipelines, Power Platform, multi‐agent orchestration. Contract Details Duration: 6 months Working Model: London, Tunbridge Wells, Ipswich, Bolton (Hybrid - 3 days in Any locations) Role Type: Contract Salary Rate: £650 per day #J-18808-Ljbffr ...

Enfint ищет опытного backend‐инженера для проектов AI/ML и GenAI. Ваша задача — проектировать и строить надежные API на Python, интегрировать LLM с инструментами и данными и выносить решения в продакшн с учётом масштабируемости. Вы будете работать с Data Science, DevOps и инфраструктурой, наставлять коллег, развивать практики тестирования, мониторинга ...

teams, this individual will transform assessment concepts into functional proofs of concept and serve as a subject-matter expert in psychometrics and AI/ML-based scoring. The position requires strong professional leadership, deep expertise in test development and validation standards, and a commitment to scientific rigor, high-quality documentation … concept using modern AI tooling and agentic workflows Owning psychometric quality across reliability, validity, and scoring, combining established psychometric theory with AI/ML scoring approaches to deliver accurate, robust, and explainable results Building fairness and legal defensibility into assessments from the design stage, maintaining current knowledge of relevant regulation ...

cloud-native architecture, security and engineering governance. Experience evaluating and integrating third-party Financial Crime or Risk technology platforms. An understanding of AI/ML and GenAI architecture, particularly within regulated environments. Knowledge of responsible AI principles including explainability, human-in-the-loop controls, model governance and auditability. The ability … particularly relevant: Salesforce Financial Services Cloud | Snowflake | ComplyAdvantage | OCS | SQL | Python | REST APIs | Event-Driven Architecture | Cloud | CI/CD | DevSecOps | AI/ML | GenAI | LLMs | RAG | Data Governance | Data Lineage #J-18808-Ljbffr ...

from technical scoping and architecture design through production launch. Cross-Functional GenAI Alignment: Drive execution and manage complex technical dependencies across systems engineering, Core ML, Research, and Product teams to deliver unified SGP capabilities with architectural consistency. Technical Translation & Requirements: Translate complex infrastructure metrics (LLM inference optimization, GPU utilization, compute … proven track record of having built and shipped technical products or platforms from scratch (e.g., internal cloud infrastructure, developer APIs, distributed systems, or ML platforms). Platform Domain Expertise: 3+ years of dedicated experience managing programs focused directly on core engineering infrastructure, cloud-native ecosystems (AWS/GCP), container orchestration ...

cloud-native architecture, security and engineering governance. Experience evaluating and integrating third-party Financial Crime or Risk technology platforms. An understanding of AI/ML and GenAI architecture, particularly within regulated environments. Knowledge of responsible AI principles including explainability, human-in-the-loop controls, model governance and auditability. The ability … particularly relevant: Salesforce Financial Services Cloud | Snowflake | ComplyAdvantage | OCS | SQL | Python | REST APIs | Event-Driven Architecture | Cloud | CI/CD | DevSecOps | AI/ML | GenAI | LLMs | RAG | Data Governance | Data Lineage If you have the above experience please apply immediately ... ...

architecture across the product pipeline - from real-time data processing and predictive analytics through to automated operations and intelligent alerting. Lead delivery of production ML/AI systems, working closely with data science and operational teams to deploy models that create measurable business value. Own integrations with operational and enterprise … architecture, proof-of-concept development, and production deployment. Meaningful experience with a subset of these technologies is essential: TypeScript (application development, API services) Python (ML/data pipelines, automation, scripting) SQL (data modelling, querying, optimisation) Azure (cloud services, serverless functions, managed services) Infrastructure as Code (Pulumi preferred, or similar tooling ...

into platform improvements Help build and maintain reproducible runtime environments, container images, and workflow-supporting services for scientific computing workloads, including bioinformatics, AI/ML, data processing, and simulation workflows Assume responsibility for coordination and provision of HPC user training and onboarding Ensure best practices in project management are maintained … quickly and effectively though leadership, delegation and the ability to deep‐dive when necessary Desirable Exposure to computational research involving GPU, including AI/ML methods applied to biomedical problems Experience supporting GPU‐accelerated workloads, NVIDIA tooling, CUDA‐aware environments, and/or AI/ML and bioinformatics workloads ...

Data Science Platform group within Nishantha's organisation, you will help build and evolve the core data infrastructure that enables Data Scientists, ML Engineers and Analysts across Forecasting, Recommendations, Pricing, Marketing and Customer domains to develop, deploy and operate data-driven products at scale. This is an opportunity to work … quality and operational excellence. Creating reusable libraries, tooling and engineering patterns that enable teams to deliver data products more efficiently. Partnering with Data Scientists, ML Engineers and Product Engineering teams to solve data challenges and enable new machine learning use cases. Contributing to architectural decisions and the evolution ...