301 to 325 of 350 Machine Learning Jobs in the South East

computing environments. Provide technical leadership and mentorship to AI engineers and researchers. Stay current with the latest academic and industry advancements in AI and machine learning. Required Skills: AI & Multimodal Systems Expertise with Large Language Models (LLMs) such as GPT, Llama, Mistral, or equivalent. Experience with Vision Language Models … bring together entrepreneurial, tech-driven people to deliver innovative solutions for leading companies. At ALTEN, you’ll work on exciting projects, supported by ongoing learning, mentoring, and clear career development tailored to your goals. Join a passionate team and help build tomorrow, today. In short you get: A personalised ...

Skills and Characteristics C++ or relevant Object Oriented software development Familiarity with Electronics and lower‐level firmware Using and generating documentation to create interfaces machine to machine Test frameworks and test development Microservices architecture/containerisation Development of new applications to meet user expectations and within formal constraints. … development to design and coding standards. Good teamwork and communication abilities Useful to have Python, C#, LabVIEW software development Experience CUDA integration (AI/ML) Industrial protocols (read-across to Synergia etc.) Experience with Infrared Physics, Computer Science, Software Engineering, ITQSB or Relevant Higher Level Formal Qualifications What you will ...

precision engineering? Our client, Alloyed , is a rapidly growing technology company at the forefront of advanced metal manufacturing. Combining additive manufacturing, materials science, machine learning and engineering expertise, they develop high-performance components for industries including aerospace, electronics and industrial engineering. Due to continued growth, they are seeking ...

high-performance systems in a quant trading context. The role involves co-owning the trading desk infrastructure, collaborating with PMs, Quant Researchers and ML Engineers to push the bleeding edge of quant trading. #J-18808-Ljbffr ...

scope AI/agentic use cases, evaluate feasibility, and align stakeholders on priority and sequencing Work with technology teams (Salesforce, data engineering, AI/ML engineers) to produce detailed user stories and acceptance criteria that support development and QA, including for Agentforce agent builds and MCP server/tool integrations … familiarity with tools such as Jira, Confluence, Slack, Microsoft Office, and Microsoft Teams A genuine curiosity about AI and a habit of continuous learning - this space moves fast, and the role requires staying current Nice to Have Exposure to Salesforce Einstein, Copilot Studio, or comparable generative AI platform features ...

computational methods for translating metagenomic sequencing data into actionable results in a clinical or public health context. You will develop algorithms and AI/ML methods that are accurate and robust enough to be integrated into our infectious disease diagnostic product. You will report to the Lead Scientist in Computational … microbial genomics space. Key Responsibilities: Design, develop, and evaluate novel computational algorithms in areas such as taxonomic classification and antimicrobial resistance Develop ML/AI techniques to address real-world problems in the pathogen genomics space, in collaboration with scientists across EIT Validate and benchmark methods using public and internal ...

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 ...

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 ...

scope AI/agentic use cases, evaluate feasibility, and align stakeholders on priority and sequencing Work with technology teams (Salesforce, data engineering, AI/ML engineers) to produce detailed user stories and acceptance criteria that support development and QA, including for Agentforce agent builds and MCP server/tool integrations … familiarity with tools such as Jira, Confluence, Slack, Microsoft Office, and Microsoft Teams A genuine curiosity about AI and a habit of continuous learning — this space moves fast, and the role requires staying current Nice to Have Exposure to Salesforce Einstein, Copilot Studio, or comparable generative AI platform features ...

Will Do Build, test, and ship features for products in active use by energy companies worldwide. Debug and fix defects in production systems, learning how large‐scale applications behave under real conditions. Write and maintain automated tests as part of the team’s standard delivery workflow. Participate in code … data systems. Exposure to CI/CD or infrastructure automation tools. Interest in technically demanding application domains such as scientific computing, applied AI/ML, real‐time systems, large‐scale data processing, or similar. Energy industry experience is not required but is a strong plus. We welcome candidates from ...

Platform’s Core platform - the services and infrastructure that let us deploy to a multitude of public cloud providers and that powers many ML and LLM powered features. We give every other engineering team a reliable base to build on, and we own the software delivery lifecycle … This is an exciting opportunity to grow professionally while contributing to a mission-driven organization. Responsibilities What you’ll own Reliability of platform(includes ML and LLM workloads) - model serving and inference infrastructure (GPU-backed endpoints, autoscaling, latency and cost tradeoffs), with SLOs, on-call, and incident response that cover ...

commercial value and improve customer health outcomes. Qualifications include a Master’s in a numerical field, hands-on experience with supervised, unsupervised and deep learning, and proficiency in Python and SQL. Cloud experience with Azure/Databricks is highly valued, as is responsible AI. #J-18808-Ljbffr ...

governance forums Review and assure solutions for quality, consistency, and fitness for purpose Identify and manage risks, issues, and dependencies Awareness of AI/ML integration and governance considerations Qualifications and Skills Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline, or equivalent practical experience Certification … technology landscape, including modern engineering practices, cloud platforms, and legacy environments Practical experience or strong awareness of AI-enabled architectures, including embedding GenAI/ML capabilities into enterprise solutions with appropriate governance and controls Experience in aligning AI-enabled solutions with compliance, audit, and data protection requirements Guidant, Carbon60, Lorien ...

functional teams. We deliver against quarterly OKRs, own our work end to end, and put collaboration at the heart of how we operate. Strong ML experience, hands-on NLP and production experience with agentic AI are essential. Our stack includes AWS, Python, PyTorch, Docker, LangChain/LangGraph and Langfuse. Experience … data governance and documentation Working closely with engineering, data and product teams, and mentoring others Skills and experience Extensive experience in data science and ML, including hands-on delivery of LLM-powered and agentic systems running in production at scale Works AI-natively day to day, using AI tools ...

actionable insights and deliver innovative solutions that drive business value and strategic decision‐making. You will develop data services, apply deep learning and ML, perform data analysis, and collaborate across teams to implement data‐driven improvements within the insurance domain. The role requires strong Python skills, statistical modelling ...

values innovation, inclusion, and continuous growth. A little about ADP: We are a global leader in human resources technology, offering the latest AI and machine learning-enhanced payroll, tax, human resources, benefits, and much more. We believe our people make all the difference in cultivating an inclusive, down ...

cloud infrastructure. Proficiency in Python and/or another general‐purpose language, with strong testing discipline Hands‐on experience building with LLMs or other ML systems (prompt engineering, fine‐tuning, retrieval, model integration), with an understanding of their failure modes and tradeoffs. Proven experience designing and leading evaluation …/ML systems: defining metrics and methodology, building evaluation pipelines, managing test sets, and reasoning rigorously about model quality and regressions. Strong command of evaluation concepts — various types of metrics (accuracy, precision, recall, F1), the distinction and tradeoffs between automated and human evaluation, statistical significance, and the limits of each ...

cloud infrastructure. Proficiency in Python and/or another general-purpose language, with strong testing discipline Hands-on experience building with LLMs or other ML systems (prompt engineering, fine-tuning, retrieval, model integration), with an understanding of their failure modes and tradeoffs. Proven experience designing and leading evaluation …/ML systems: defining metrics and methodology, building evaluation pipelines, managing test sets, and reasoning rigorously about model quality and regressions. Strong command of evaluation concepts - various types of metrics (accuracy, precision, recall, F1), the distinction and tradeoffs between automated and human evaluation, statistical significance, and the limits of each ...

production (Kafka/MSK, Kinesis, Structured Streaming) Data products, mesh or federated ownership models applied on a real programme, not just in theory ML and AI platform work: feature stores, MLflow, model serving, and the data foundations behind RAG or agentic use cases Regulated-sector exposure financial services, healthcare, public … lifestyle. Social Events: From annual kick-offs and Christmas parties to team socials and sporting events, we love celebrating success together. Training & Development: Tailored learning opportunities and full support for certifications to keep your skills sharp. Lets Build the Future Together ...

just a workplace, we’re a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do as we strive to connect one million people to meaningful work and build leaders worth following. Our Culture … Experience with cloud infrastructure (AWS/GCP/Azure) Experience building APIs and working with distributed systems Systems thinking: Experience designing data pipelines or ML infrastructure Ability to evaluate end-to-end workflow performance Familiarity with AI/ML lifecycle (training to inference to evaluation to feedback) Product judgement: Ability ...

over 25 countries. We are a specialist digital transformation solutions provider, focused on Microsoft 365 and other latest technologies such as AI/Machine Learning. Our customers include UK, USA, UAE, and Australian government departments and enterprises in various domains including space, financial services, engineering, research, legal, manufacturing … environment, preferably Microsoft SharePoint or ECM/EFSS/Modern Content Services landscape, with an interest in the application of new products, AI/ML capabilities, and Microsoft Search. Location Reading, UK Department Software Development Experience required 2+ years of experience Key Responsibilities Collaborate with Clients & Partners on best practice ...

well-governed solutions. Key Skills & Experience: Eligibility for Security Clearance Significant experience in Business Analysis, Solutions Consulting or technology delivery. Proven experience delivering AI, ML, GenAI or intelligent automation solutions. Strong client-facing, stakeholder management and facilitation skills. Ability to translate business needs into practical, testable AI solutions. Understanding … lifestyle. Social Events: From annual kick-offs and Christmas parties to team socials and sporting events, we love celebrating success together. Training & Development: Tailored learning opportunities and full support for certifications to keep your skills sharp. Lets Build the Future Together Were looking for experienced consultants who can turn ...

perform their duties effectively. If FCA prescribed responsibility please check and add the required responsibilities Behaviours Required Understanding People: Asking questions Actively listening Learning from feedback Create Simplicity: Challenging to improve Working together Creating straightforward solutions Keeping our Promises: Taking ownership to deliver Setting clear expectations Respecting others Functional … while maintaining appropriate controls Knowledge of regulatory and compliance considerations (GDPR, data protection, audit requirements) Artificial Intelligence Demonstrable experience leading or scaling AI/ML capability, including: Use case identification and prioritisation Strong understanding of emerging AI technologies, including generative AI and large language models and automation and intelligent decisioning ...

This major international organisation is seeking an AI/ML Security Architect to support the secure adoption of Generative and Agentic AI across their complex enterprise environment. As AI/ML Security Architect, you’ll provide security architecture and design authority across AI/ML initiatives, working closely with engineering ...

company‐wide technology changes. Experience operating in a shared resource model, balancing BAU and strategic delivery workloads at scale. Exposure to AI/ML concepts and how they change project governance, risk management, and team capabilities. Agile/Scrum certification (SAFe, AgilePM, Kanban, or equivalent). ITIL Foundation or above. … Portfolios) certification or knowledge of portfolio governance frameworks. Formal training or demonstrated fluency in organisational change management/transformation leadership. Understanding of AI/ML concepts and their impact on delivery and team capabilities (no deep technical depth required; intellectual curiosity and fluency are sufficient). Our Values ...