501 to 525 of 4,929 Machine Learning Jobs in England

experience: 10+ years' experience in data, analytics, AI, or enterprise architecture Strong consulting background delivering technology and AI transformation programmes Deep understanding of AI, machine learning, GenAI, and cloud data platforms Experience with AWS, Azure, or GCP Strong knowledge of data architecture, DevOps, and automation tooling Experience engaging ...

deliver real value for customers. From data exploration and algorithm development to scalable system design, you’ll play a key role across the full ML lifecycle and see your work in action at global scale. If you want to apply cutting‐edge machine learning to a trillion‐dollar … excited by solving meaningful, complex problems, we’d love to hear from you. What You’ll Do With guidance from the Head of ML, advance Solvo’s decision‐making and pricing models through innovative ML engineering and research. Design, implement, and deploy production‐grade ML systems with scalability and robustness ...

strong track record of hands-on execution and delivery in complex data environments. Deep practical understanding of the database ecosystems that power AI and machine learning infrastructure (e.g., Vector databases, NoSQL, and Document stores). Hands-on experience building, scaling, and shipping large-scale data platforms in production. ...

Supporting practice development through offering development, recruitment, campaign development, internal think-tanks, whitepapers, operational excellence and capability building across Data, AI and Agentic AI.• Learning & Development - Continuously developing your own expertise in emerging data and AI technologies and consulting leadership through training, certifications and applied innovation, while fostering … culture of continuous learning across the practice.YOUR PROFILEWe are looking for a T-shaped leader: broad enough to run an enterprise programme end to end, and deep enough in data and AI to be a genuine peer to the engineers and architects you lead. What matters most is your ...

science, Engineering, Data Science, or a related technical field. Significant experience across product development and engineering with a significant portion focused on AI/ML-driven products, with heavy exposure in recent years to Generative AI. Deep Engineering and Architecture Expertise: Demonstrated ability to design, build, and scale complex software … systems, including experience with cloud architectures, distributed systems, and modern software development practices. Proven experience in architecting AI/ML solutions, with a strong understanding of how to leverage and integrate with existing enterprise platforms and capabilities. Proven Problem Solver: A track record of identifying complex problems and delivering innovative ...

. Advanced knowledge of software applications and technical processes with considerable in‐depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Ability to tackle design and functionality problems independently with little to no oversight. Experience in Computer Science, Computer Engineering ...

with one or more languages (e.g. Python, Java, Scala, Go) Pragmatic approach to solving problems Nice to have: keen interest in modern AI/ML techniques Why Indicium AI Fast-growing start-up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely … meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget #J-18808-Ljbffr ...

coding tools while maintaining ownership and understanding of the generated code. Требования Bachelor’s or master’s degree in Computer Science, Engineering, AI/ML, or a related technical field, or equivalent relevant experience; Approximately 0–3 years of professional software engineering experience, including recent graduates; Strong software engineering foundation … vector databases, LangChain, LangGraph, or AutoGen. Условия Competitive compensation and benefits; Business connectivity reimbursement for phone and internet; Gym membership or equipment reimbursement; LinkedIn Learning subscription; Tuition reimbursement after one year of service; Accelerated career path; Award-winning culture and community outreach; Active mentorship and structured growth opportunities. #J ...

Assess developments in LLMs, agent orchestration, multimodal systems, evaluation, and AI engineering for production use Требования Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, or a related field, or equivalent practical experience Proven experience building AI agents, agentic workflows, or AI assistants, preferably ...

Engineering, Building Engineering, Data Science, Artificial Intelligence, or a related discipline. You will have experience in BIM and digital construction, digital twins, AI and machine learning, cloud computing, IoT integration, or data analytics and visualisation, together with strong programming skills in Python, JavaScript, C#, or similar languages. ...

seeking an experienced Data Science consultant to join our Digital & Data team. The role involves advanced analytics and machine learning to support data‐centric decision making in public and private sector organisations. Responsibilities Work to agile best practices and collaborate cross‐functionally with multiple teams and stakeholders, applying ...

risks, priorities and investment recommendations. Required qualifications Significant experience in product innovation, data science or technology strategy roles, including substantial experience applying AI/ML solutions within the financial services sector. Strong understanding of banking, financial technology or enterprise software, ideally across core banking, lending, payments, digital banking or analytics. … Culture@Finastra, Proud@Finastra, Disabilities@Finastra, and Women@Finastra—open to everyone who wants to participate and contribute. Career Development: Access online learning and accredited courses through our Skills & Career Navigator tool. Recognition: Take part in our global recognition program, Finastra Celebrates, and share your voice through regular employee ...

etc. DevOps experience – CI/CD, Test Automation, Containerization – tools and processes Should be conversant with emerging technologies - chatbots, voice/conversational interfaces, RPA, Machine Learning, etc. In-depth, hands-on experience in developing web/mobile applications or platform with either Java/J2EE or .NET tech ...

preferable, whether thats Wealth Management, Banking, Insurance or another regulated financial organisation. Where does AI fit? You dont need to be an AI or Machine Learning Engineer. The client is looking for evidence that youve started exploring how AI can improve the way you engineer perhaps using Copilot ...

Experience delivering Agentic AI or RAG-based enterprise solutions Familiarity with regulated environments and security-driven designs GCP Professional certifications (Cloud Architect, Data Engineer, ML Engineer) Gemini Agent Development or Deployment skill badges We offer EPAM Employee Stock Purchase Plan (ESPP) Protection benefits including life assurance, income protection and critical … pension plan Cyclescheme, Techscheme and season ticket loans Various perks such as free Wednesday lunch in-office, on‐site massages and regular social events Learning and development opportunities including in‐house training and coaching, professional certifications, and courses If otherwise eligible, participation in the discretionary annual bonus program ...

exposure The business is increasing its investment in AI, including Azure AI Foundry. This isnt an AI Engineering position and you dont need deep Machine Learning experience. Practical use of Copilot or another LLM as part of your engineering work would be useful, whether thats development, debugging, code ...

structure we service. Next‐Generation Platform Intelligence Building the AI foundations that make every future capability more powerful — predictive analytics, enterprise knowledge management, continuous learning models, and the intelligent infrastructure that underpins a truly AI‐native Fund Services platform that compounds in value over time. What we’ll need … Computer Science, Engineering, Data Science, or a related technical field Relevant experience across product development and engineering, with significant focus on AI/ML‐driven products and heavy recent exposure to Generative AI Demonstrated ability to design, build, and scale complex software systems — including cloud architectures, distributed systems, and modern ...

expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection … Experience leading BEC investigations Conduct in‐depth digital forensic analysis of data extracted from cloud environments such as AWS, Microsoft Azure, and GCP Continuously learning and staying informed of the changing threat landscape Proven track record of successful neutralization and remediation of ransomware threats Excellent understanding of the Incident ...

strongly preferred, whether thats Wealth Management, Banking, Insurance or another regulated financial organisation. Where AI fits You dont need to be an AI or Machine Learning Engineer. The business is increasing its investment in AI, including Azure AI Foundry, and wants its engineers to become increasingly comfortable using ...

risks, priorities and investment recommendations.**Required qualifications*** Significant experience in product innovation, data science, or technology strategy roles, including substantial experience applying AI/ML solutions within the financial services sector.* Strong understanding of banking, financial technology or enterprise software, ideally across core banking, lending, payments, digital banking or analytics. … Culture@Finastra, Proud@Finastra, Disabilities@Finastra, and Women@Finastra—open to everyone who wants to participate and contribute.**Career Development:** Access online learning and accredited courses through our Skills & Career Navigator tool.**Recognition:** Take part in our global recognition program, Finastra Celebrates, and share your voice through regular employee ...

engineers on safe, compliant adoption within delivery practices. Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Practical experience in cloud computing. Knowledge of network protocols and technologies such as TCP/IP, DNS, DHCP ...

APIs that connect data services to frontend applications Work with large-scale rail inspection datasets including ultrasonic, electromagnetic, and operational data Implement and deploy machine learning models and statistical analyses in production environments Architect and manage AWS cloud infrastructure for data workloads (S3, Lambda, Glue, Athena, SageMaker, Step ...

consulting skills. Experience working in Agile delivery environments. Preferred Qualifications Google Professional Data Engineer and/or Cloud Architect certification. Experience with AI, Machine Learning or Generative AI. Knowledge of DataOps, MLOps and Lakehouse architectures. Why Join Wipro? Work on large-scale data and AI transformation programmes. Access ...

Proven data engineering experience, with the ability to design, implement and maintain robust data pipelines. Hands-on experience working with AI, Generative AI or machine learning solutions in a practical, production-oriented context. Practical prompt engineering experience, including designing, testing and optimising prompts for large language models. experience ...

Comfortable working in regulated data environments with sensitive personal and litigation data. Excellent stakeholder management and communication skills. Desirable Experience Exposure to predictive analytics, machine learning operationalisation or AI platforms. Experience working with Dynamics CRM, case management platforms such as VisualFiles, and finance systems such as Elite ...