801 to 825 of 4,924 Machine Learning Jobs in England

Overview 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 … 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 ...

/CD pipelines. Drive AI-led Quality Engineering , including the adoption of AI-assisted test generation, intelligent defect analysis, self-healing automation, prompt testing, ML validation and Agentic AI testing approaches. Provide quality architecture across a diverse technology landscape , including Microsoft Dynamics 365, Power Platform, OutSystems, Azure APIM, GCP data … platforms, APIs, event-driven integrations and AI/ML products. Champion shift-left and engineering-led quality practices , promoting TDD, BDD, continuous testing and risk-based testing within Agile, DevOps Required Technical Expertise Programming Languages Deep hands-on expertise in: TypeScript, JavaScript, C# Python, PyTest, SQL Strong understanding of: Object ...

delivers trusted technology products in a secure, stable, and scalable way. EPAS delivers Day 2 operational automation, workflow orchestration, event-driven automation, AI/ML-enabled service management, and platform tooling that support Incident, Change, Problem, Crisis, and Production Management processes across the firm. This role has a primary focus … About EPAS/Infrastructure Platforms EPAS provides process and event-driven automation, user-driven run book automation, workflow orchestration, microservice APIs, and AI/ML capabilities as part of a wider Hyper Automation offering for Infrastructure Platforms. Key product areas include Automation as a Service (AaaS), Ansible Automation Platform ...

team, you will leverage deep operational experience to deliver complex change across report automation, platform enhancements and migrations, and the introduction of AI/ML-enabled capabilities. You will work closely with Operations, Technology, and Compliance to modernize processes end-to-end, strengthen controls and data quality, and ensure change … data flows. Lead delivery of transformation workstreams: report automation, platform rollouts, migrations, and re-engineering. Drive adoption of intelligent automation (including AI/ML) in partnership with Technology and Data Science. Own the delivery lifecycle: requirements, impact assessment, UAT coordination, cutover planning, and stabilization. Deliver change with minimal BAU disruption ...

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 ...

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 ...

working with a small team who deliver AI capabilities for the UK government. You'll be curious about all flavours of AI from classical ML to the latest generative and adversarial techniques and keen to keep learning as the field moves. You'll bring a general understanding of software … engineering alongside your ML knowledge and enjoy research, experimenting with new approaches and figuring out how they translate into practical capability for our customers. You'll work closely with a small, high-performing team of engineers and researchers, contributing ideas and picking up new skills as you go. Our work ...

Agentic & Gen AI, Data Science and Analytics in a client-facing environment, with a proven track record of successfully delivered work across the ML lifecycle and a strong foundation in statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies.Keen to demonstrate the potential that Agentic … combining domain knowledge and AI expertise to identify opportunities across industries and functions where AI can deliver value and by shaping AI/ML roadmaps, and ideation using use cases aligned with data science and business strategies.Accelerating impact with AI by enabling proof of value through prototypes and by translating ...

technical debates that shape the future of Nevis' technical direction. Who You Are 4+ years of experience in Python engineering, ideally building AI platforms, ML infrastructure, or applied AI products. Deep expertise in Python, asynchronous programming, system design, and backend engineering fundamentals. Hands-on experience building production systems involving … ownership mindset. Excellent communication and collaboration skills. Comfortable operating in a fast-paced, high-growth environment. Nice to Have Experience shipping applied AI or ML-powered products in production. Knowledge of vector databases, feature stores, or streaming systems. Background in fintech, financial services, wealth management, or startups. Why Join Nevis ...

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 ...

will define shared outcomes, roadmaps, architectures, operating models and investment priorities, and will co-lead matrixed teams spanning data engineering, data science, AI/ML, Engineering, Laboratory Systems, Enterprise Architecture, Information Security & Risk, Clinical Technology, Data Platforms and Technology Services. You will shape innovative and evolving capabilities and talent, directing … DDSAI to design scalable, secure and interoperable solutions, including integrations across laboratory instruments, ELN, LIMS, research data platforms, knowledge graphs, analytics environments, AI/ML platforms and clinical systems. Structure and execute proofs of concept with DDSAI using explicit scientific hypotheses, fit‐for‐purpose data, responsible AI practices and agreed ...

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 ...

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 sciencealgorithms,while building, leading, nurturing and retaining a high … 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 ...

gaps in partner delivery early, feeding back to the VP Software Engineering with clear, actionable recommendations. Collaboration & Knowledge Sharing Collaborate closely with AI/ML, DevOps, Infrastructure and Product teams to deliver integrated platform capabilities. Share technical knowledge across the engineering organisation – through documentation, internal talks, or hands‐on pairing … bias for shipping. Experience collaborating with or reviewing the output of SI/vendor build partners. Preferred Experience building or contributing to AI/ML platforms – particularly integrating LLMs, speech, or multimodal models into production systems. Familiarity with data pipelines, data quality processes and the infrastructure that supports AI/ ...

Bachelor’s or higher) in Computer Science, Data Science, Engineering, Informatics, or a related field.* Strong hands-on experience building and deploying AI/ML/DL/NLP/LLM systems in production environments.* Proficiency in Python and modern AI frameworks and tools (e.g. PyTorch, Transformers, Scikit-learn, OpenAI … e.g. EHR platforms such as Epic or Cerner).* Experience building commercial software products in regulated environments.* Publications or research experience in AI/ML/DL/NLP/LLM or biomedical informatics.* Startup or scale-up experience.## Perks and Benefits* Flexible working hours.* Benefits include private medical insurance ...

technologies (RDF, SPARQL, LPG, SHACL) Experience in schema design, ontology management, and KG curation Expertise in designing and developing KG solutions and graph-based ML models (functional + technical) Experience with end-to-end data pipeline implementation for AI applications (esp. LLMs), with hands-on design and configuration Experience with … ability to work across engineering, research, and product teams across multiple time zones. You have external client-facing consulting experience Broad experience in diverse ML techniques and agentic systems About Accenture Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations ...

technologies (RDF, SPARQL, LPG, SHACL) Experience in schema design, ontology management, and KG curation Expertise in designing and developing KG solutions and graph-based ML models (functional + technical) Experience with end-to-end data pipeline implementation for AI applications (esp. LLMs), with hands-on design and configuration Experience with … ability to work across engineering, research, and product teams across multiple time zones. You have external client-facing consulting experience Broad experience in diverse ML techniques and agentic systems About Accenture Accenture is a leading global professional services company that helps the worlds leading businesses, governments and other organizations build ...

SPARQL, LPG, SHACL) Advanced practical knowledge of schema design, ontology management, and KG curation Seasoned in designing and developing KG solutions and graph-based ML models (functional + technical) Proven experience in end-to-end data pipeline implementations for AI applications (esp. LLMs), with hands-on design and configuration Extensive … have external client-facing consulting experience Ph.D. in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field. Broad experience in diverse ML techniques and agentic systems. #LI-MP About Accenture Accenture is a leading global professional services company that helps the world's leading businesses, governments and other ...

SPARQL, LPG, SHACL) Advanced practical knowledge of schema design, ontology management, and KG curation Seasoned in designing and developing KG solutions and graph-based ML models (functional + technical) Proven experience in end-to-end data pipeline implementations for AI applications (esp. LLMs), with hands-on design and configuration Extensive … have external client-facing consulting experience Ph.D. in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field. Broad experience in diverse ML techniques and agentic systems. #LI-MP About Accenture Accenture is a leading global professional services company that helps the worlds leading businesses, governments and other organizations ...

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 ...

systems and hardware architecture, merging physical computing with enterprise-scale infrastructure. Previously directing teams of 170+ engineers at Mercado Libre and orchestrating large-scale ML-based inference at Meta. At Relay, Diego’s infectious enthusiasm and hands-on leadership are redefining the boundaries of speed and reliability. Tech Stack Highlights … Flutter apps with a deep focus on user experience Cloud-native on GCP with extensive use of BigQuery and Cloud Run Extensive use of ML modelling and LLM inference - no gimmicks here, this is our daily routine Emerging tech integrations, including robotics and IoT-powered operations The Opportunity ...

Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialisation in one area (e.g. real-time/streaming, ML/AI, data governance, migrations) Proven ability to lead architecture discussions with senior technical stakeholders: whiteboarding, design reviews, and trade-off analysis Track record of driving platform … Science, Engineering, or a quantitative discipline (or equivalent experience) Willingness to travel up to 30% as needed Nice to Have Databricks certifications (Data Engineer, ML, Platform) Cloud provider certifications at professional level (e.g. AWS Certified Solutions Architect – Professional or AWS Certified Data Engineer; Azure Solutions Architect Expert; Google Professional Cloud ...

retrieval‐augmented generation (RAG). Strong LLM application skills — prompt engineering, evaluation, and guardrails for reliable, safe outputs. Strong Python for AI/ML, plus solid backend engineering (Go and/or Kotlin) to productionize systems at scale. Model serving and LLM inference, with the cloud infrastructure … management at scale. Data pipelines and orchestration (Airflow, Prefect) and warehouses like Databricks, Snowflake, or BigQuery. Spanish proficiency. Tech Stack Languages — Python (AI/ML), Go and Kotlin (platform services). AI & LLMs — LLM APIs and open models, agent frameworks, MCP, RAG. AI evaluation & observability — LangFuse, LangSmith, Braintrust, MLflow. Data ...

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 ...

depop.com. Role Depop is looking for a Machine Learning Engineer to join the Ranking team in the UK. You will work alongside ML Scientists, Backend Engineers, MLOps, and other ML Engineers to build, deploy, maintain, and monitor the machine learning systems that power personalised ranking across … users every day. These models are deployed for real-time inference and integrated across multiple services in the Depop platform. As a Senior ML Engineer in this team, you will play a key role in building the infrastructure and systems required to train, deploy, and operate scalable ranking models ...