76 to 100 of 342 Machine Learning Jobs in the South East

keen ability to assess, analyse, and meet client-specific needs. You willplay a major role in developing and implementing Machine Learning (ML) and Artificial Intelligence (AI)solutions for our clients, along with providing key advice around innovation and new techniquesto stakeholders.You will be designing solutions for complex challenges … will integrate code with software engineers. Responsibilities will include: Leading and delivering technical consulting projects. Developing and delivering AI/ML solutions using a range of techniques (ML, NLP, LLMs, etc.)to tackle real world problems, applyingtools and techniques,and developing novel approaches where required. Building new relationships and maintainingcurrent ...

following areas:• Exploit development.• Malware analysis.• Secure software development.• Vulnerability research skills.• Machine Learning model development and understanding of the ML eco-system.• Familiarity with vulnerability research tools and frameworks.• Understanding of operating systems, networks and system architecture.• Reverse engineering.Nice to Have• Experience researching AI, machine learning … findings to both specialist and non-specialist audiences.Why Join Us We know that life does not stand still either. That’s why we offer:• Learning as part of the way we work every day, through mentoring, coaching and new opportunities.• ROKE Academy support for technical mastery, leadership development ...

following areas:• Exploit development.• Malware analysis.• Secure software development.• Vulnerability research skills.• Machine Learning model development and understanding of the ML eco-system.• Familiarity with vulnerability research tools and frameworks.• Understanding of operating systems, networks and system architecture.• Reverse engineering.Nice to Have• Experience researching AI, machine learning … findings to both specialist and non-specialist audiences.Why Join Us We know that life does not stand still either. That’s why we offer:• Learning as part of the way we work every day, through mentoring, coaching and new opportunities.• ROKE Academy support for technical mastery, leadership development ...

will work hybrid in one of our hub locations (North Wales or Crawley) and you will be working alongside our teams of data engineers, machine learning engineers and software developers. Key ResponsibilitiesImplement cloud architecture in Viridien and client cloud environments, translating designs into working, production-grade deployments Build … external parties Additional InformationHybrid working available from North Wales or Crawley.Opportunity to work across both Viridien and client cloud environments.Collaboration with software, data, and machine learning teams on large-scale data and analytics platforms.Why work with us Competitive salary commensurate with experienceHighly attractive bonus schemeHybrid model and flexible ...

platform engineering function as required. About You We're looking for a hands-on GCP cloud engineer with strong experience supporting AI and machine learning platforms in enterprise environments. Essential Experience Strong hands-on experience with Google Cloud Platform, including AI and Machine Learning services such … Platform. Experience with Azure AI services and the broader Microsoft ecosystem, including Azure infrastructure, Microsoft 365 and Entra ID. Practical experience supporting AI/ML infrastructure, including: Vector databases Model hosting solutions Serverless inference Containerised AI workloads Model versioning and evaluation pipelines Experience configuring and securing API gateways ...

behaviour at scale, enabling Kantar's products to test scenarios and predict outcomes before they happen. What you'll be doing Developing and deploying machine‐learning models in production environments Working end‐to‐end across the data science lifecycle: problem definition, modelling, deployment and monitoring Analysing … data scientist on real‐world, production problems Strong Python skills (or a similar language used in applied data science) Experience with supervised learning and unsupervised techniques such as anomaly detection Exposure to cloud‐based model training, deployment and automation A strong sense of ownership and accountability for data science ...

C++, with C# also in the estate. Around it sit custom electronics with their own firmware and embedded operating systems, AI and machine learning workstreams, and an emerging interest in connected and cloud enabled services. Cyber security, and the Cyber Resilience Act in particular, is a live … exposure to Python, .NET, Java or SQL welcome Experience architecting software that controls physical hardware. This is not enterprise software. The code drives a machine that does something in the real world, and it has to interact properly with electronics, sensors and mechanics Demonstrable experience operating as a software ...

intelligent extraction pipelines and agentic workflows.Build and deploy scalable web applications and microservices on AWS using Python, following cloud security best practices.Drive AI and machine learning research and development by evaluating new models, tools and technologies, creating prototypes and recommending adoption opportunities.Develop and optimise prompt engineering solutions … enhancements, data analysis and cloud-native technologies.What we would like you to bringStrong commercial experience developing production-quality applications in Python.Experience with AI and machine learning, including LLM integration, prompt engineering and model evaluation.Hands-on experience deploying and managing applications on AWS or a comparable cloud platform.Some Java ...

sectors and specialist areas. Depending on your background and experience, you could take on the role of: BI Developer Data Engineer Data Scientist Machine learning Engineer Robotic Process Automation Consultant Whatever your experience, we can help you progress from where you left off, whether at mid, senior … level. Within the FDM Skills Lab you’ll receive upskilling in: Business intelligence and advanced analytics Diverse data modelling, engineering and warehousing Automation and machine learning Modern data platforms and tools used to forecast, analyse and unlock business value This structured learning is designed to complement your ...

defined and ready for delivery. Establish measurable performance targets for analytics, tracking, classification and decision-support capabilities. Work closely with data scientists to translate machine learning and analytical models into production-ready features. Collaborate with software engineers, technical specialists and customers to refine requirements and validate delivered functionality. … radar, RF, electro-optical or other sensor technologies. Background in engineering, physics, mathematics, data science or a related technical discipline. Experience delivering AI, machine learning or analytics-driven products. Familiarity with decision-support systems or operational software platforms. Please note: This is a hybrid role based around regular ...

leadership.Project or programme management qualification, such as PRINCE2, Agile, MSP, or equivalent experience.Highly developed specialist knowledge of AI, automation technologies such as RPA, NLP, machine learning, workflow automation and their safe application in healthcare.Knowledge of NHS digital strategy, AI governance, clinical safety, information governance, cyber security and relevant … leadership.Project or programme management qualification, such as PRINCE2, Agile, MSP, or equivalent experience.Highly developed specialist knowledge of AI, automation technologies such as RPA, NLP, machine learning, workflow automation and their safe application in healthcare.Knowledge of NHS digital strategy, AI governance, clinical safety, information governance, cyber security and relevant ...

analysis. Commercially minded with the ability to balance rigour and pace. Comfortable working through ambiguity and solving open-ended business problems. Interest in AI, machine learning and emerging technologies. Ability to communicate complex findings clearly to both technical and non-technical audiences. Experience with product analytics, opportunity sizing … following areas: Analytics-focused professionals with expertise in experimentation, product analytics and opportunity identification. Data Science-focused professionals with experience in recommendation systems, machine learning, customer modelling and AI products. What They Offer Significant investment in Data & AI capabilities. Opportunity to help shape a growing team expanding from ...

based data platforms Develop modern data lake, warehousing, and analytics solutions Define technical architecture, standards, and cloud strategy Support the adoption of AI, Machine Learning, and Generative AI technologies Deliver solutions across both real-time and batch data environments Ensure data governance, security, and compliance requirements … data solutions on AWS Experience with Databricks, Redshift, Snowflake, or related technologies Understanding of modern data engineering and analytics frameworks Exposure to AI and Machine Learning technologies Strong knowledge of data governance and security best practices Experience delivering large-scale cloud transformation projects Excellent stakeholder management and communication ...

strategic and operational objectives.The Director will bring deep expertise in SAP data and analytics technologies, enterprise data management, cloud platforms, reporting architecture, AI/ML enablement, and digital innovation while driving standardization, governance, and business value realization.This position reports to the Senior Director, ERP Technology & Operations.Key ResponsibilitiesEnterprise Data & Analytics StrategyDefine … controls and regulatory requirements.Collaborate with Cyber Security and Enterprise Architecture teams to implement secure and compliant solutions.Innovation, AI & Continuous ImprovementIdentify opportunities to leverage AI, machine learning, intelligent automation, and advanced analytics.Drive innovation programs utilizing SAP Joule, Business AI, predictive analytics, and generative AI technologies.Foster a culture of innovation ...

post holder will lead a defined methodological workstream, contributing computational innovation and reproducible infrastructure while collaborating closely with cross-disciplinary teams across genomics, epidemiology, machine learning, and biomedical science. The role will also involve mentoring junior researchers within the group.Applicants should hold, or be close to completing …/DPhil in bioinformatics, computational biology, statistical genetics, or a related field, with strong quantitative and computational skills. Experience applying AI or machine learning to large-scale biomedical datasets, along with strong programming ability in Python and/or R, is essential, as are excellent communication and collaborative ...

responsible for: Analysing large and complex datasets to generate actionable customer insights Building data marts and analytical models Using statistical and machine learning techniques, including regression and clustering Presenting findings clearly to senior stakeholders and influencing data-driven decisions Working collaboratively across teams to identify opportunities for optimisation … 3+ years' experience in statistical analysis and data visualisation Strong SQL and experience with Python and/or R Knowledge of advanced analytics and machine learning techniques Excellent communication and stakeholder management skills A curious, analytical mindset with strong attention to detail Location: Central London Hybrid: 2 days ...

data ingestion, storage, transformation, real-time processing and AI integration. Key Skills & Requirements: Proven experience in cloud-native data and analytics platforms. AI and Machine Learning experience, as well as MLOps/AIOps. Strong understanding of solution design and the full data life cycle. Solid understanding of data … exciting career path. Culture that recognises and acknowledges your contributions. They want someone who can bring a deep knowledge of AI and Machine learning into the function, someone who can provide real strategic direction while aligning to the business objectives. Could this be you? Apply now, or email ...

while balancing technical excellence with commercial impact. You'll be responsible for: Developing acquisition and behavioural credit scorecards using CRA data Building statistical and machine learning models including logistic and linear regression Designing and implementing credit strategies for new and existing customer portfolios Analysing large datasets using … across model development or strategy Strong SQL skills alongside Python or SAS (Python preferred) Experience with statistical modelling techniques such as logistic regression or machine learning Excellent communication skills with the ability to present to clients and senior stakeholders THE BENEFITS Up to £75,000 salary Hybrid working ...

data analysis (TDA) to assist with the design, construction and deployment of new feature engineering and optimisation strategies for the machine-learning (ML) modelling of cellular data. More generally, this role offers a great opportunity for an expert in persistent homology to become a valued member … representations of biocellular species over time Curate large volumes of simulated data to help develop persistent homology for cell biology Apply TDA to assist ML modellers with the feature engineering and optimisation of cellular data Create data representations using TDA to help make more efficient ML models for cell biology ...

Wednesday. What you'll be doing: Leading and developing a multi-disciplinary pricing and underwriting team. Enhancing pricing and risk models using GLMs, machine learning and actuarial techniques. Driving pricing strategy to meet loss ratio targets while supporting growth in policy volumes and GWP. Owning product and pricing … Proven experience in pricing, product, underwriting or actuarial roles within insurance or financial services. Strong technical capability in pricing models, risk analysis, GLMs, machine learning and data-driven decision making. Confident people manager with experience coaching and developing high-performing teams. Strong understanding of regulatory expectations, including product ...

recruit a Professor of Bioinformatics. The professorship will be held alongside a Fellowship at University College.The Department is at the forefront of developments in machine learning, data science, and computational methods for understanding complex biological systems, integrating these approaches into both its research and teaching. This role offers … develop and lead a world-class research programme in bioinformatics, helping to strengthen Oxford's position in areas such as statistical genomics, computational biology, machine learning for biological data, engineering biology, systems biology, and biomedical data science. We value the breadth of approaches that contribute to modern bioinformatics. ...

Training Transformation Services is modernising what’s possible in the training and preparation of our armed forces. With a real blended approach to learning and using the latest innovative systems and technology, we ensure our service men and women really are prepared for any situation.Role & ResponsibilitiesThe Chief Technology Officer … Understanding of cybersecurity, information assurance and interoperability considerations associated with defence and government technology environments. Familiarity with Synthetic training environmentsDemonstrable understanding of AI/ML, Generative AI, agentic systems, analytics and knowledge-centric architectures (including RAG) and their application to defence training transformation.Data Analytics techniquesLLM and RAG exploitation to optimise ...

viable software and infrastructure, typically using our core stack: React, Typescript, Material UI, Node.js, Python, PostgreSQL, Docker, Kubernetes, Helm, AWS Work with internal colleagues (ML Engineers, ML Scientists, Product Managers etc) and external project partners to understand technical requirements, constraints and delivery priorities. Use code review, pair programming, mentoring … issues and trade-offs clearly to non-specialists. Desirable Experience architecting and designing complex distributed software systems for cloud environments. Experience developing and deploying machine learning, AI or data-driven systems in production or near-production settings. Technical Lead and/or Line Manager experience. Why Join ...

Senior AI/ML/Computer Vision Engineer, you will be an experienced researcher or developer with a strong interest in state-of-the-art AI, Machine Learning, and Computer Vision technologies. The Senior AI/ML/Computer Vision Engineer is responsible for delivering novel solutions … Security, Defence, Intelligence and Commercial markets. You will work alongside our customers to solve their complex and unique challenges.As our next Senior AI/ML/Computer Vision Engineer, you’ll be primarily “hands on” and actively providing technical expertise across a broad range of AI/ML and Computer ...

certificate renewals, technical documentation and responses to deficiencies; own Notified Body relationship and capacity planning. Develop and own the regulatory pathway for AI/ML-enabled SaMD products, including FDA AI/ML guidance, Good Machine Learning Practice (GMLP), Predetermined Change Control Plans, IMDRF SaMD framework … Experience implementing and maintaining a QMS in a scale-up or start-up environment — not a large-corporate-only background. Experience with AI/ML-enabled medical software is strongly preferred. Strong internal and external audit experience (hosting and conducting). Prior medical device manufacturing or contract-manufacturer oversight experience. ...